Podcasts about IP

This is a free preview of a paid episode (38 min), exclusively available on our subscriber-only premium feed. Become a premium subscriber to tune into the full episode: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://cubicletoceo.co/podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Questions about our premium podcast subscription? Send us a DM ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@cubicletoceo Lyrik Fryer once got a licensing check so large her bank had to split it into three payments — proof your IP can be packaged up as a lucrative asset other businesses will pay to use. Lyrik is the co-founder and CEO of WorkPlay Branding, whose flagship $497/month content system sold directly to clients is also licensed out to agencies and authors. Through this, she has figured out how to sell her IP at full price while also turning it into a branding and major distribution play. In our full-length interview available exclusively to our premium subscribers (click here to join for only $17/month), Lyrik breaks down her most unexpected licensing deal yet: how author Selena Soo bundled a WorkPlay shoot into her book launch, turning her self-published book into a USA Today bestseller and generating $166K in total revenue. Licensing isn't just an extra revenue stream, it's a distribution army you don't have to spend advertising dollars on. Connect with Lyrik: https://workplaybranding.com/ IG: @workplaybranding IG: @lyrik.fryer If you enjoyed today's episode, please: Post a screenshot & key takeaway on your IG story and tag us ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@cubicletoceo⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ so we can repost you. ⁠⁠⁠Subscribe to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠our premium feed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for case-study style interviews every Monday.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Fantasy Baseball Live – July 26, 2026 @ 3 pm.Segment 1 and 2 – Review the weekend gamesAdditional Questions/Topics1.Hunter Greene had a bad start on Saturday, and his velocity was a bit down as well. 5.1 IP, 6 ER, 3K/2BB – now with a 7.06 ERA. Not what we wanted!2.Dylan Cease with another gem. A lot has been made about Cam Schlitter winning the CY Young, but Dylan Cease is right there. His wins are bit down because the Blue Jays can't score runs, but your thoughts on his season. 3.Juan Soto hits the IL with a grade 2 calf strain. He might be out for a while. Thoughts on who gets his at-bats?4.Bobby Witt Jr. is also out – any thoughts on who might be a waiver wire pickup for him?5.There was a report out from Ken Rosenthal that American League teams are still not ready to make deals as many know there teams aren't very good, but they say they are still in it.a.I think that's true – is this good for baseball or not?6.Jose Ramirez and Nick Kurtz are both back. Yay!Segment 3 – Waiver WireSegment 4 – Closer ReportClose

On this week's show we look into our crystal ball to see what is on the Home Theater Horizon. We also read your emails and take a look at the week's news. News: 2026 Value Electronics TV Shootout: Samsung Snaps Sony TV Streak CarPlay video coming with iOS 27 WGA Seeks Injunction to Block Deal's Closing What is on the Home Theater Horizon Home theater technology is advancing quickly and the trend is moving toward wireless setups, brighter and more flexible displays, AI-powered calibration, immersive spatial audio, and simpler high-end installations. Today we take a look at what we can expect over the next couple of years. Displays: Brighter, Wireless, and Modular Ultra-thin wireless OLEDs: LG's OLED evo W6, also called the Wallpaper TV, is part of their 2026 evo lineup. It's incredibly thin — just 9 millimeters thick — and features a true wireless design. All your devices plug into a separate Zero Connect Box that can sit up to 10 meters away. The box then sends 4K video and audio wirelessly to the TV with almost no quality loss. The TV also includes Hyper Radiant Color Technology. This delivers much higher brightness — up to 3.9 times brighter than standard OLEDs — along with deeper black levels and fewer reflections. For gamers, it supports 4K at 165 Hertz, G-SYNC, and very fast response times. MicroLED and RGB advancements: MicroLED displays — including variants like Micro RGB or TriChroma — are becoming popular for luxury home theater setups. They deliver perfect blacks like OLED screens, but with much higher brightness, no burn-in risk, and modular designs that let you create custom sizes, such as 136-inch or even larger cinema walls. Brands like LG with their MAGNIT Active Micro LED, Samsung, and Sony are leading the way, offering seamless, cinema-certified picture quality. Consumer versions are still quite expensive — often six figures for a full wall — but they're becoming more realistic and affordable over time. Mini RGB: These TVs are poised to be a big hit because they combine the best of both worlds: the perfect blacks and contrast of OLED with the extreme brightness, longevity, and modular flexibility of MicroLED-style RGB technology. By using advanced Mini RGB LED backlighting, Mini RGB delivers stunning HDR performance, vibrant colors, and seamless large-screen designs ideal for luxury home theaters — all without burn-in worries. Sony's reputation for premium picture processing, cinema-grade calibration, and build quality gives their Mini RGB  a clear edge over competitors, making these TVs the top choice for serious enthusiasts who want theater-like visuals that will stay impressive for years to come. Projectors: Triple-laser UST (ultra-short-throw) and standard models dominate, with brighter outputs (thousands of ISO lumens), wider color gamuts (e.g., 110% BT.2026), Dolby Vision support, and 4K/8K capabilities. Examples include XGIMI Horizon 20 Max, AWOL Vision LTV-3000 Pro, and Hisense models. Laser is now the baseline for premium performance. Audio: Wireless Immersion and Modular Systems Wireless multi-speaker ecosystems: Dolby Atmos FlexConnect is rolling out more widely including the LG Sound Suite. This enables cable-free speaker placement with accurate panning. Sony's BRAVIA Theatre lineup (Trio, Bar 7/9, etc.) emphasizes modular wireless components with 360 Spatial Sound Mapping, phantom speakers (up to 24 channels), and room calibration. Advanced AVRs and processors: Denon, Onkyo, and others offer higher-channel support (9.4+), Dirac Live/Audyssey calibration, and AI room tuning. Multi-channel processors use Audio over IP for fewer wires in custom installs. Immersive extras: Haptic furniture, synchronized smart lighting using the  Philips HDMI Sync Box 2.1, and AI acoustic optimization for real-time adjustments. Other Notable Trends AI integration: Automatic calibration, content optimization, and adaptive environments including  room mapping for sound and light.. Hybrid/immersive rooms: 360-degree or wraparound video with spatial audio, plus premium formats inspired by commercial cinema (laser projection, higher baselines like 7.1+ with height channels). Lifestyle focus: Movable displays, aesthetically integrated speakers, mainly acoustically transparent designs, and easier setups for non-dedicated rooms. There are some exciting technologies shaping the next couple of years in home theater. Displays are getting brighter, thinner, and more flexible with ultra-thin wireless designs. High-performance UST laser projectors will bring huge screens to rooms where it was never possible before. And the shift toward truly wireless, immersive audio will fill any room with rich, room-filling sound. Best of all, your entire system will adapt to your room with the touch of a button!

本集節目由【犀牛盾】贊助播出只要信念堅定，犀牛盾的熱血意志，就是你最絕對的防護！從溫馨可愛的寶可夢、驚悚極致的伊藤潤二，到震撼力十足的哥吉拉與膽大黨——犀牛盾擁有最豐富的動漫圖款。每一款手機殼與 AquaStand 磁吸水壺，都是屬於冒險者的專屬神器。拿起它吧！用你的方式，守護那份心中不滅的羈絆 ⚔️即日起至 8/5 犀牛盾動漫祭，期間指定動漫 IP 周邊商品享 9 折！到官網使用限時折扣碼【commute】，滿 $700 再折 $100！https://url.rhinoshield.tw/2026-Anime-Season-commute#RHINOSHIELD #犀牛盾 #動漫祭 #動漫手機殼

On this week's episode, I'm joined by Nate Jones of Vulture to discuss his monumental effort to rank the 100 most powerful directors in Hollywood. We discussed how the audience has shifted from stars to IP to maybe, now, directors, and what that means for the industry. Plus: Who did his inside sources think he rated too highly … and too lowly? All that and more on this week's (if I do say so myself) very fun episode. Debate amongst yourselves: Who has the most juice in Hollywood … and who should have the most juice?

For decades, Disney was the undisputed champion of theme parks. But Universal Studios had its big breakthrough when the Wizarding World of Harry Potter opened in 2010. And it's been gaining ground on Disney ever since. Today, journalist Drew Taylor takes David on a ride through this heated theme park rivalry. Drew covers film, animation and theme parks for The Wrap. They'll dive into Universal's new Epic Universe expansion in Orlando, the inner workings of park hopping and lightning lanes, and why the key to this battle is all about who controls the IP.Check out Drew's podcast: Fine Tooning with Drew TaylorAudible subscribers can listen to all episodes of Business Wars ad-free right now. Join Audible today by downloading the Audible app.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

CrossFit CEO Bruce Edwards joins Jason Fernandez at the 2026 Owners and Coaches Conference. They discussed what HQ got wrong over the last five or six years and how the partnership between HQ and affiliates gets rebuilt. They cover brand, coaching standards, IP protection, HYROX and GLP-1s as growth portals, the board relationship, and where the community goes over the next 12 to 18 months.--- Take the free Affiliate Blueprint Assessment

Few men are prepared for the identity shifts when becoming a father. Father of two and executive coach David Arell returns to the podcast to explore mindset shifts, unexpected grief, changing relationships, and lessons that only years of parenting can teach. Connect with the guest: welcometofatherhood.com Catalyst for Change David Arell on IP+ Grow with us on ⁠IP+⁠! Informed Pregnancy Media presents two all new intimate short-form video series following Garrett and HeHe's real-time pregnancy journeys as they prepare for an empowered birth and postpartum experience. Each episode features weekly updates with personal photos and videos to help bring these raw stories to life, a visually dynamic guide through each mother's emotional and physical experiences. ⁠Watch Growing with Garrett⁠ ⁠Watch Growing with HeHe⁠ Keep up with Dr. Berlin and Informed Pregnancy Media online! ⁠⁠⁠informedpregnancy.com⁠⁠⁠ ⁠⁠⁠@doctorberlin⁠⁠⁠ ⁠⁠⁠Youtube⁠⁠⁠ ⁠⁠⁠LinkedIn⁠⁠⁠ ⁠⁠⁠Facebook⁠⁠⁠ ⁠⁠⁠X⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

This week Mariann tears through the industry press so you don’t have to: an Animal Ag Alliance exec frets about “brand-busting” without ever explaining what it means, Oregon’s IP 28 gets branded an extremist plot for daring to remove cruelty-law loopholes, a horse vet insists carriage horses basically drive themselves, and ranchers wax poetic about breeding cattle too docile to complain.…

This is a free preview of a paid episode (45 min), exclusively available on our subscriber-only premium feed. Become a premium subscriber to tune into the full episode: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://cubicletoceo.co/podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Questions about our premium podcast subscription? Send us a DM ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@cubicletoceo ⁠ Léa Jeanmougin licensed someone else's proven course instead of building her own and turned it into $80,378.90 in year-one revenue. Kicking off our new series on intellectual property (IP), Léa opens up about what it looks like to bet on someone else's proven offer instead of creating your own. With zero money down and a royalty rate that started at 20% and eased down to 16% as her revenue climbed, Léa leaned on partner campaigns to grow her monthly recurring revenue from $2,868 to $10,563. That income became her launchpad into brick and mortar, funding a rent-to-own deal on a 14-room inn in Quebec — also without a traditional down payment. Léa proves that the fastest way to revenue isn't always building from scratch. Connect with Léa: Listen to Léa's last episode: https://open.spotify.com/episode/5a3OODb45NJ1y3cIlFlpXy?si=fOkdQV7CQeqwF8ho8aaw1A https://www.agencia-atlantica.com/en https://www.instagram.com/lea.jeanmougin  https://www.linkedin.com/in/leajeanmougin/ If you enjoyed today's episode, please: Post a screenshot & key takeaway on your IG story and tag us ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@cubicletoceo⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ so we can repost you. ⁠⁠⁠Subscribe to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠our premium feed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for case-study style interviews every Monday.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Fantasy Baseball Live – July 19, 2026 @ 2 pm ETSegments 1 and 2 – Review the Weekend GamesAdditional Questions/Notes1.Shane Bieber – 6.0 IP, 3 hits, 0 ER, 6K/2BB. Still not throwing hard, but ok. He did pitch better in his last outing as well. Maybe, he's improving??? What do you do here?2.Esmerlyn Valdez with another home run – also Jared Jones looked great in his Saturday afternoon win against the Guards. You have to bear in mind the competition, but he did look very good. Thoughts on him for the ROS and long-term.a.Speaking of the Pirates, they promoted Khristian Curtis to be the bulk guy on Saturday night's DH game. He was great and while his minor league season was a bit uneven – great in Double-A, so-so in Triple-A, he's got good stuff.i.Does he get more chances this season?3.Brandon Woodruff is undergoing season-ending shoulder surgery. This is not good as he's had multiple shoulder surgeries over the past few years and just can't seem to get healthy. In response, the Brewers acquired Lance McCullers from the Astros. Talk about somebody who can't stay healthy.a.Thoughts on the McCullers?b.Do you think this is the Brewers “Big Move”, or will they do something else?4.Stud updatesa.Jose Ramirez is getting close and might skip a rehab assignment.b.Ronald Acuna should be ready to return sometime this upcoming week.c.Max Fried will have a rehab start this weekd.Aaron Judge doesn't appear closee.Will Smith might be back sometime late next month.Segment 3 – Waiver WireSegment 4 – Closer Report

3,200 Xbox jobs. Studios sold, studios cut loose, studios just gone. And PlayStation is telling us physical discs will be done by 2028. I sat down this week and gave you my honest, unfiltered take on all of it — not just the business moves, but what this means for the actual human beings living through this. As somebody who is currently laid off himself, this one hits close to home, and I'm not going to pretend otherwise.This episode covers:-

近期邹市明、冉莹颖录制综艺《姐姐当家2》，窒息式婚姻、三次进民政局、2 亿资产清零刷屏全网。舆论一边倒甩锅冉莹颖败家”，但拨开狗血八卦，这是一份极具参考价值的运动员 IP 变现、暴富守财、重资产创业失败商业样本。 本期节目拆解二人完整发展脉络：从两届奥运拳王到身家2亿，靠综艺破圈打造全家商业人设；再到盲目重资产扩张、跨界投资踩雷亏空家底；最后拆解二人绝不离婚的底层逻辑 —— 夫妻早已深度绑定为同一商业IP，综艺矛盾、直播带货都是流量自救手段。 跳出男女对立、婚姻吐槽，聊聊普通人、创业者、网红都要警惕的人性陷阱：人赚不到认知以外的钱，守财远比赚钱更难。

On this episode of Engineering Influence, host Jeff sits down with Sean Young from NVIDIA to explore how artificial intelligence — particularly agentic AI and large language models — is reshaping the AEC industry. Sean and Jeff discuss why firms should start treating project data as valuable IP, how AI agents can automate repetitive CAD and BIM tasks, and the ways AI is accelerating design iteration. They also dig into why engineering firms need to position themselves as technology- and AI-first organizations to stay competitive. The conversation highlights findings from the ACEC Research Institute's Firm of the Future initiative, along with practical steps firms can take right now to scale expertise across their teams and free up engineers to focus on higher-value design decisions.

Southeast Asia's venture market is not in a downturn. It is in a structural winter, and mid-2026 is when that distinction stopped being academic. Kristie Neo returns to break down what is actually happening across the region: Singapore's IPO revival is real but is being carried by data centres and REITs rather than homegrown tech; allocators now rank Southeast Asia at the bottom of Asia behind China, India, Japan, Korea and ANZ; and a generation of growth-stage companies is being kept alive past the point where a merger or a wind-down would have served everyone better. Jeremy Au and Kristie also work through what could actually restart the funding ladder, from encouraging tech M&A and fixing university IP commercialisation, to tax incentives for angels and support for syndicate leads who can assemble the $1 million to $5 million rounds that Singapore currently cannot fill. If you are a founder raising in Singapore, Indonesia, Vietnam, Philippines, Thailand or Malaysia, or an LP trying to work out where capital goes next in Asia, this is the honest state of the market. Watch, listen or read the full insight at https://www.bravesea.com/blog/kristie-neo-southeast-asia-zombie-unicorns  BRAVE is Southeast Asia's leading tech podcast, hosted by Jeremy Au. Honest conversations with the region's top founders, investors, and operators on building startups in Southeast Asia. New episodes every week. Subscribe so you never miss one. Listen & Subscribe YouTube (English), YouTube (Bahasa Indonesia), Spotify (English), Spotify (Bahasa Indonesia), Spotify (Chinese), Spotify (Vietnamese), Apple Podcasts Follow BRAVE LinkedIn, X (Twitter), Instagram, TikTok, WhatsApp Follow Jeremy Au LinkedIn, X / Twitter, Instagram, TikTok, Facebook, Threads, Twitch Resources Get transcripts, startup resources & community discussions at www.bravesea.com #SoutheastAsia #VentureCapital #SingaporeIPO 00:00 Intro 01:00 Singapore's IPO revival and what is really lifting SGX 06:30 Safe haven status and the Indonesia allocation problem 09:34 Why Southeast Asia sits at the bottom of the allocator stack 14:58 A generation of zombie companies 18:07 The case for mergers, folds and consolidation 21:50 Fixing the funding ladder: who writes the first check 23:55 The IP commercialisation gap and university tech licensing 35:15 Rethinking how governments seed VC funds 41:24 Where can an LP put money today 45:00 Incentivising angels, syndicates and family offices 52:43 The information gap and parting thoughts

After the bullpen blew another late on Saturday, the Pittsburgh Pirates were able to bounce back to win on Sunday, taking their weekend series against the Cleveland Guardians.Paul Skenes made his first start coming out of the All-Star break, allowing one run on seven hits and two walks while striking out eight over seven innings pitched. It was good enough to pick up his ninth win of the season.Jacob Gonzalez went 2-5 with a double and two runs scored. Getting a rare start in center field, Billy Cook went 3-4 with a triple, two runs scored, and a pair of RBI. Esmerlyn Valdez hit his 12th home run of the season, going 1-3 with two RBI and two walks.Bucs On Deck is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.The Pirates will head to New York for three games against the Yankees. Braxton Ashcraft, Bubba Chandler, and Mitch Keller are the probably pitchers for the series.Murf Gray and Duce Gourson wrapped up their first weekend at their new levels after getting promoted coming out of the All-Star break.Now in Double-A Altoona, Gray went 2-9 with a home run and three walks compared to two strikeouts. He played in all three games and was the designated hitter on Sunday.For Gourson, he played in two of the three games over the weekend, going 4-7 with four runs scored, a home run, one walk (no strikeouts) while also stealing a pair of bases. * Greensboro Grasshoppers sent 1B Tony Blanco Jr. on a rehab assignment to Bradenton Marauders* Pittsburgh Pirates optioned RHP Khristian Curtis to Indianapolis Indians* Altoona Curve placed LHP Dominic Perachi on the 7-day injured listTop Exit Velocity* Shawn Ross - IND - 111.4 mph - Home Run* Richard Ramirez - BRD - 107 mph - Single* Jacob Gonzalez - PIT - 106.1 mph - Lineout* Edgleen Perez - BRD - 105.9 mph - Groundout* Duce Gourson - IND - 105.2 mph - Home RunTop Pitch Velocity* Carlos Mateo - BRD - 102 mph* Carlos Mateo - BRD - 101.6 mph* Carlos Mateo - BRD - 101.1 mph* Carlos Mateo - BRD - 100.9 mph* Carlos Mateo - BRD - 100.8 mphMost Whiffs* Paul Skenes - PIT - 18* Irwin Ramirez - BRD - 10* Hung-Leng Chang - GBO - 10* Brandon Neeck - ALT - 9* Matt Ager - ALT - 8Support the site by becoming a paid member and get access to all of our premium content, including our top prospect list with complete player write-ups and video breakdowns, which come out weekly.It will also give access to my player feature articles from on-site trips.We have monthly and yearly plans available, with the latter averaging $4.16/month.Indianapolis Indians - 13 vs Columbus Clippers - 6GamedayTop Hitter - Shawn Ross: 2-4, 3 R, 2 RBI, BB, HRTop Pitcher - Antwone Kelly: 4 IP, 3 H, BB, 2 KAltoona Curve - 6 vs Reading Fightin Phils - 10GamedayTop Hitter - Ivan Brethowr: 2-3, 2 R, RBI, HRTop Pitcher - Brandon Neeck: 2.1 IP, 5 KGreensboro Grasshoppers - 3 vs Hub City Spartanburgers - 7GamedayTop Hitter - Brian Sanchez: 2-4, 2 RBI, BB, 2BTop Pitcher - Kyle Larsen: 2 IP, BB, 3 KBradenton Marauders - 2 vs Tampa Tarpons - 7GamedayTop Hitter - Richard Ramirez: 2-3, R, RBI, BB, HRTop Pitcher - Brandon Cain: IP Get full access to Bucs On Deck at bucsondeck.substack.com/subscribe

Nancy Guthrie's family got fake ransom demands while search teams looked for her, and the man behind them just walked out of federal court with probation. Tony Brueski unpacks the plea deal, the sentence, and why it's landing as a slap in the face to everyone who's followed this case. Harassment. That's what the four-million-dollar ransom note and the follow-up apology letter got reduced to. Five years of probation, every count running concurrently. Retired FBI special agent Jennifer Coffindaffer put it plainly on the record: this outcome is a travesty, and it could invite more of the copycat extortion attempts investigators have started calling the TMZ Twelve. The apology letter is its own strange piece of this. Sent only to local television stations, it called Nancy's death an accident, a claim nobody investigating this case has confirmed. Both that letter and the original ransom note were reportedly traced to the same IP address, one of the only real leads on the table. Porch Guy, another person connected to the case, still hasn't been identified or taken in. And the contradictions don't stop with the hoaxer. Pima County Sheriff Chris Nanos has spent this case fielding pointed questions about his own record, including one moment where he told a reporter to enjoy his hit piece instead of answering. The FBI and the Sheriff's Department keep pointing at each other over who's actually running point, and a retired agent says there's real disagreement inside the Bureau over whether some of the evidence holds up. Even the physical evidence has a strange trail. One key item reportedly flew to Florida and back before anyone bothered running it against a database, which is not exactly standard operating procedure. Nancy Guthrie is still missing. This is everything on the record right now. Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/ Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/channel/UC8-vxmbhTxxG10sO1izODJg?sub_confirmation=1 Instagram https://www.instagram.com/hiddenkillerspod/ Facebook https://www.facebook.com/hiddenkillerspod/ Tik-Tok https://www.tiktok.com/@hiddenkillerspod X Twitter https://x.com/TrueCrimePod This publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice. Hashtags #NancyGuthrie #ChrisNanos #TrueCrimeToday #MissingPerson #FBI #RansomNote #TrueCrimePodcast #CrimeNews #TrueCrime #TrueCrimeCommunity 

Somewhere in this Nancy Guthrie case, the truth got lost in the paperwork, and Tony Brueski found it while combing through the record. The man who sent fake ransom demands to her family, while search teams were trying to find her, just took a plea deal that looks more like a parking ticket than a threat wired straight into a grieving family's phone. Harassment. That's the charge he pleaded to. Two years capped at the federal level, but he walked away with five years of probation and every count running concurrently. Retired FBI special agent Jennifer Coffindaffer called it a travesty on the record, and she's not wrong to worry, investigators are already tracking a dozen copycat extortion attempts agents have nicknamed the TMZ Twelve. Then there's the four-million-dollar ransom note, the strange apology letter mailed only to local television stations calling Nancy's death an accident, and the fact that both were reportedly traced back to the same IP address, one of the few solid threads investigators actually have. Porch Guy, the person connected to the case, still hasn't been identified or picked up. Meanwhile, Pima County Sheriff Chris Nanos is fielding his own set of questions. Discrepancies in his record, a reporter pushing back, and an answer that amounted to telling him to enjoy his hit piece. The FBI and the Sheriff's Department can't agree on jurisdiction, can't agree on which ransom notes are real, and reportedly disagree internally over whether some of the evidence even holds up. One of the case's most valuable physical clues reportedly flew to Florida and back before investigators ever ran it against a database, a detail that hasn't gotten nearly the attention it deserves given everything riding on it. Nancy Guthrie is still missing. This is where the case actually stands. Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/ Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/channel/UC8-vxmbhTxxG10sO1izODJg?sub_confirmation=1 Instagram https://www.instagram.com/hiddenkillerspod/ Facebook https://www.facebook.com/hiddenkillerspod/ Tik-Tok https://www.tiktok.com/@hiddenkillerspod X Twitter https://x.com/TrueCrimePod This publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice. Hashtags #NancyGuthrie #ChrisNanos #HiddenKillers #MissingPerson #FBI #RansomNote #TrueCrimePodcast #CrimeNews #TrueCrime #ColdCaseUpdate 

A woman is still missing, and the man who tortured her family with a fake ransom scheme just got a sentence that fits in a headline: probation. Tony Brueski lays out what happened to the person behind the bogus bitcoin ransom notes sent to the Guthrie family, and why a retired FBI agent is calling the outcome a disgrace. The charge was knocked down to harassment. The sentence was five years of probation, all counts running concurrently instead of stacked on top of each other. Retired special agent Jennifer Coffindaffer says the light punishment risks emboldening the wave of copycats already flooding investigators, a group now referred to inside the Bureau as the TMZ Twelve. There's more sitting underneath that plea deal than one bad sentence. An original ransom note demanded four million dollars with an escalating threat attached. A second letter, stranger still, went only to local television stations, apologizing and calling Nancy's death an accident. Both were reportedly linked to the same IP address, one of the only solid threads investigators have. And Porch Guy, a person tied to the case, remains unidentified. Meanwhile, the search itself keeps producing contradictions. Pima County Sheriff Chris Nanos has been dodging questions about his own record, at one point telling a reporter to enjoy his hit piece. The FBI and the Sheriff's Department can't settle who's actually leading the investigation, and a retired agent says there's genuine disagreement inside the Bureau about whether certain pieces of evidence are even legitimate. Kash Patel added his own layer of confusion, telling a podcast audience his agents were locked out for days, while one of his own special agents was already standing beside Sheriff Nanos at a press conference, a fueled plane waiting in the background. Nancy Guthrie is still out there. Nobody has answered for it. Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/ Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/channel/UC8-vxmbhTxxG10sO1izODJg?sub_confirmation=1 Instagram https://www.instagram.com/hiddenkillerspod/ Facebook https://www.facebook.com/hiddenkillerspod/ Tik-Tok https://www.tiktok.com/@hiddenkillerspod X Twitter https://x.com/TrueCrimePod This publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice. Hashtags #NancyGuthrie #ChrisNanos #HKLive #MissingPerson #FBI #RansomNote #TrueCrimePodcast #CrimeNews #TrueCrime #TrueCrimeCommunity 

World Heath Disclosure David Eells 7-19-26 (audio) Restored Republic via a GCR Update as of Sat. 18 July 2026 by Judy Byington, Welcome To The Great Awakening Next 48 Hours, Critical Next Ten Days, Historic Next 30 Days Changes Civilization “Most don't realize how hard it is to speak the truth to a world full of people who don't realize they're living a lie.”…Edward Snowden Judy Note: On Thurs. 16 July 2026 a ceasefire was activated in Israel – confirming a global reset of Mid East stability. Hamas freed the last living Israeli hostages, while Israel released 2,000 Palestinian prisoners. It all happened just as Q predicted: “Israel would be last.” Though the next day on Fri. 17 July 2026, the US Navy resumed a full naval blockade on Iranian ports in the Strait of Hormuz. The day before Iran had bombed a US Military base, ensuring a permanent break of the ceasefire. Trump's attack was mainly financial. The blockade was costing Iran $400 million a day, while US Central Command (CENTCOM) pounded targets in wave after wave of strikes on bridges, trains and other infrastructure that would affect any trade Iran could do outside the country. Of course, Iran refusing peace and making war would keep them out of the Global Currency Reset and financial system. Trump declared, “We gave them a chance… they shot first. Big mistake.” It was a typical Trump reaction. Because of the Global Military Alliance led by the US President and Commander-in-Chief, Deep State Elites were finally collapsing, while Sovereigns of the World were reaching out to grasp peace and Constitutional Law under God, governed by We The People. Q said it best on Telegram today: “The UN is now obsolete, because Trump is doing their job for them. The UN does not carry out its intended function, so Trump unilaterally took over as the new UN.   “Trump created the Board of Peace, brokered all the peace deals worldwide, and is shutting down threats to the people of the world, like Iran's nukes, the American cartels, ISIS in Syria, Yemen, Nigeria, etc. “Trump is using tariffs and military precision, to operate as the UN is supposed to. Trump is now the new global peacemaker, whether you like it or not. “Nothing gets done at the UN, so Trump took matters into his own hands.” Trump had already assured that Free Energy was on it's way to every household, and with the Global Currency Reset (GCR) that just launched, currencies across the World were trading at a 1:1 with each other as backed by gold and other assets. Our financial future was safe and finally away from the fiat dollar. The GCR had caused the Deep State's privately owned IRS to find it's grave, while their Illuminati's over taxing of the American people suddenly vanished. The Cabal's Federal Reserve now held a new position under the US Treasury where at last, bankers would be held accountable for their actions. The Deep State Elite's petrodollar was dead, Oil Monopoly, dismantled. When announcements came about the new financial system, Stock Markets would collapse; banks fail; the old wealth, evaporate. Though, The People would thrive with the new gold/asset-backed currencies of 209 nations. The Health Industry around the World was being forced to actually help the body heal itself using light and sound frequencies of free Med Bed treatments. Trump was placing Med Beds in hospitals and other facilities worldwide. Thus, these health providers would have the tools to promote health and no longer could tear down our bodies through dependence on their expensive drugs, surgeries and other over priced medical procedures. With Trump's Thursday Executive Order that released free Med Bed treatments to the public, Big Pharma was finally facing accountability through massive legal consequences for their crimes. For centuries they had forced on the population, dependency on drugs that not only didn't heal the body, but actually contributed to ill health. Peace and Freedoms wouldn't come easy. Mr. Pool Q on Telegram said that the next 48 hours were critical. The next ten days were historic. The next 30 days would change civilization.   Within the next 24 hours, seven trumpets were set to sound over every phone, tablet, TV, radio and communication device on Earth to introduce seven Emergency Broadcast System (EBS) messages in 22 languages that explained what's going on. And, what was actually going on? Liberty and Peace were winning. The Great Awakening was here. One of the Liberties that Trump had already given People of the World (that they were yet to know about) was that of good health through Med Beds. Trump's Military Alliance was opening up Med Bed Centers around the World to give free regenerative treatments that healed the body without drugs. On Fri. 17 July 2026 a nurse from Walter Reed Military Hospital leaked her testimony on Med Beds. She had worked in Walter Reed's Med Bed Wing for seven years: She contacted us through an encrypted channel 48 hours ago. Her identity has been verified by three independent sources. She worked at Walter Reed National Military Medical Center from 2017 to 2024 — in a section that does not appear on any public floor plan. She calls it “Sub-Level 3.” Situation Updates: Fri. 17 July 2026 Situation Update: Byington Bombshell Report: America Now Sovereign Under Constitutional Law – Trump Signs EO Releasing Free Regenerative Med Beds to Public | Politics | Before It's News Fri. 17 July 2026: BREAKING FREE: Mind Control, S-----c Ritual A---e, and Jenny Hill's Extraordinary Journey in Twenty Two Faces [JUDY BYINGTON] – amg-news.com – American Media Group Thurs. 16 July 2026 Situation Update (video): WTPN SITUATION UPDATE FEATURING RESTORED REPUBLIC & MORE   A Quantum Space Q Phone will be provided free of charge to all people on Earth. It will be used for internet connectivity on the new Starlink Satellite System: texting, calling, banking, voting and much more, such as used as a credit tool and to make both local and international financial transactions of retail consumption and commercial business. On Thurs. 16 July 2026 Hamas freed the last living Israeli hostages, Israel released 2,000 Palestinian prisoners and the ceasefire in Iran and the Middle East was active. Fri. 17 July 2025, Edward Snowden: Two years ago today, President Trump was shot on stage in Butler Pennsylvania. Trump was putting his life on the line by being President. Since then we have seen: • 2025 security lapse at Trump National Golf Club • 2025 Air Force One security incident • February 2026 Mar-a-Lago Secret Service shooting • March 2026 Mar-a-Lago no-fly zone violation • 2026 White House Correspondents' Dinner shooting • 2026 National Mall Secret Service shooting • 2026 White House Memorial Day Weekend shooting • Multiple threats by Iran. Possible Timing: …Juan O Savin (JFK Jr.?) On Tues. 14 July 2026: GCR and QFS live in 209 nations. Tier 4B funds Med Bed networks. White Hats seize last Fed strongholds. Deep state cartel exposed hiding healing tech. Health revolution ignites! On Wed. 15 July 2026: Zim payouts build Med Bed centers everywhere. Rescued children from tunnels get instant healing erasing t-----e. Big Pharma collapses. Innocent healing begins now! On Thurs. 16 July 2026: Mass arrests hit Pentagon traitors. Med Beds confirmed with Alliance after decades hidden. Veterans and jab injured get priority. On Fri. 17 July 2026: Starlink locks EBS. Med Bed training done. Sick care empire ends. Regenerative tech restores perfect health. Humanity reclaims life! On Sat. 18 July 2026: 48-hour blackout starts. Banks dark under QFS. Supplies ready for darkness. Med Bed systems stand by. Cabal grip on health shattered! Sun. 19 July 2026 OPERATION FINAL-SEAL: Military tribunals go LIVE. 47 Deep State arrests BEGIN. Final rescues free hundreds more children. Victims to Med Beds for renewal.   On Mon. 20 July 2026: Free QFS app appointments begin. At appointments, those with Humanitarian projects receive priority for Med Bed treatments. EBS tests global success. On Tues. 21 July 2026: QFS links Med Bed codes. Patriots priority access. DNA repair on. Aging reverses, diseases vanish. On Wed. 22 July 2026: Alliance rolls out Med Beds worldwide. Free for all after EBS. Children and critical first. Cancer and chronic illness gone. Golden age dawns! On Thurs. 23 July 2026 FINANCIAL RESET: Petrodollar DIES. Quantum system LIVE. Federal Reserve FINISHED. Martial Law declared. Black Hawk helicopters conduct Capitol storm drills in Washington, D.C., signaling full readiness for Martial Law enforcement. At the Same Time Global activation sequence begins. BRICS Alliance goes live alongside NESARA–GESARA implementation and full roll out of the Quantum Financial System (QFS). On Fri. 24 July 2026: EBS launches truth broadcast. Mass arrests as nightmare ends. Med Beds activate for rescued, veterans, then all. Pain ends, paradise starts! On Sat. 25 July 2026 ANNOUNCEMENT: Trump reveals 2020 election PROOF. Declassified documents. Video evidence. MASS ARRESTS: Tribunals execute verdicts. Deep State REMOVED. On Sun. 26 July 2026: NESARA GESARA gives free Med Bed access. No one left behind. Elite tech for masses. Patriots whole again. Alliance promise kept! On Mon. 27 July 2026: Trump confirms victory. QFS and Med Beds anchor Republic. No income tax, tariffs only. Deep state extinct. Health and f Possible Timing of Med Bed Activation: On Sat. 27 June 2026: The first 1,500 Med Bed units activated in hidden US facilities. Initial sessions delivered complete reversal of advanced cancers, spinal and brain regeneration, and age reversal of 20 to 40 years within two-hour treatments using quantum frequencies that interface directly with the body's intelligence and eliminate all Cabal-introduced toxins and pathogens. On Sun. 28 June 2026: Med Bed Centers in Nevada, Ohio and Georgia activated that specialized in DNA genome repair, metabolic reset eliminating obesity and fatigue, and age reversal. On Mon. 29 June 2026: Trump ordered synchronized Med Bed expansion with QFS activation, along with income tax abolition for middle class Americans. This delivered both financial and physical sovereignty to patriots. On Tues. 30 June 2026: Global deployment reaches over 8,300 Med Bed centers across 209 QFS-aligned nations. Success rates top 99 percent for previously incurable conditions. On Wed. 1 July 2026: Public registration opens via QFS portals in key regions. On Tues. 7 July 2026: Tesla Med Beds activate in secure facilities. On Wed. 8 July 2026 sources confirmed hidden technologies including Tesla Free Energy and suppressed medical advancements known as Med Beds officially began unveiling to the general public. On Fri. 10 July 2026: More QFS funded Med Bed centers activate in humanitarian hubs. Veterans from Cabal wars receive full restoration. On Sat. 11 July 2026 EBS protocols engage with Med Bed centers opening worldwide. On Sun. 12 July 2026: Med Beds opened free restoring health and youth everywhere.   On Tues. 14 July 2026: 8000+ Med Bed centers activate worldwide. QFS ensures free access prioritized for awakened patriots and light workers. On Wed. 15 July 2026: First Med Beds activate in Texas, Florida bases for veterans, traumatized children. On Fri. 17 July 2026: Final calibrations complete on Med Bed units powered by Tesla free energy. On Sat. 18 July 2026: Trump confirms Med Beds as cornerstone of new sovereign QFS healthcare. QFS unlocks massive funding for over one thousand Med Bed centers globally. Starlink blocks all Cabal sabotage. Wealth transfers fuel expansion. On Sun. 19 July 2026: Miraculous cures emerge with cancer patients recovered, diseases vanishing, and age reversal visible. Suppressed tech truth explodes. Tribunals advance from Med Bed evidence exposing Cabal atrocities. Awakening surges! On Mon. 20 July 2026: Redemptions provide endless resources for Med Bed rollout everywhere. Free QFS app appointments begin. Full public Med Bed access expands. Those with Humanitarian projects receive priority. On Tues. 21 July 2026: EBS tests confirm readiness as Med Beds enter public phase under military guard. Trump calls it the ultimate defeat of deep state medical control. World awaits total health freedom! On Wed. 22 July 2026: Huge healing events launch worldwide in secure sites. Children and elderly regain vitality. Leaked footage crushes media blackouts. Arrests of medical figures escalate with swift justice for deliberate harm! On Thurs. 23 July 2026: Free global Med Beds access starts for all. Smart systems slash wait times. Longevity treatments begin. GESARA promises fulfilled as Republic rejoices and Cabal power crumbles! On Fri. 24 July 2026: Every neighborhood gets Med Bed hubs with clean energy. Tech shared globally ending health inequality. Patriots celebrate end of sickness weaponization. Deep state illness control shattered!   On Sat. 25 July 2026: Global celebrations mark Med Beds era and restored Republic. Trump credits the tech for crushing Cabal remnants. Transformed citizens power the Great Awakening to final victory for patriots! On Tues. 28 July 2026: Med Beds online free worldwide. On Thurs. 30 July 2026: Starlink frequencies bring healing to remote areas instantly. On Sat. 1 Aug 2026: Trump's epic Independence event unveils Restored Republic and QFS rebirth. Freedom rings worldwide. On Mon. 3 Aug 2026: Home frequency Med Beds activate via Starlink. Instant healing 24/7 everywhere. Golden Age of Health and Abundance begins. Global Currency Reset: Judy Note: On Fri. 17 July 2026 several different sources indicated that the Admiral's Group has begun their exchanges, Tier3 Native Americans have received 90% of their monies and Bond Holders were scheduled to receive the balance of their exchange this weekend. Tier4b (us, the Internet Group) were next and expected to be notified to set exchange/redemption appointments at by the early part of next week. Fri. 17 July 2026 MarkZ: Indian Nations are 90% done exchanging. Bond Groups receive their balance this weekend. Tier4a should be finishing exchanging this next week – then Tier4b (us, the Internet Group). Fri. 17 July 2026 Med Bed Activation on Telegram: On Mon. 20 July 2026 Free QFS app appointments begin. Redemptions provide endless resources for Med Bed rollout everywhere. Full public Med Bed access expands. Those with Humanitarian projects receive priority. Thurs. 16 July 2026  Bruce, The Big Call The Big Call Universe (ibize.com)  667-770-1866 A source said Tier4b (us, the Internet Group) could be notified over the weekend and start exchanges Mon. 20 July. Judy Note: No one knows the exact date for notification of appointments for Tier4b (us, the Internet Group) to exchange foreign currencies, but deadlines shown in the above Timing indicate it to be very soon. We have been told that Wells Fargo, which is controlled by the Chinese Elders – (the ones who own the gold behind the Global Currency Reset) – will send out emails to currency and bond holders worldwide telling them how to set redemption & exchange appointments. It is advised to exchange/redeem your foreign currency at an official Redemption Center (RC) rather than a bank. You can only redeem Zim at a RC, the Dinar Contract Rate can only be given at a RC and banks will offer you lower exchange rates than what you can obtain at a RC. You can only set up your new wallet (bank account) at a RC. It was my understanding that most banks were under control of the Cabal and would soon play a different roll in the Global Financial System.   Mass Arrests: On Mon. 7 July 2026 Operation Military Cleanse was activated:  847 Pentagon officials detained  234 Generals and high-ranking officers arrested  678 Military operatives removed from active duty  4,000 Troops deployed across 19 states for domestic operations  50 States coordinated simultaneously Charged With:  Treason against the United States  Coordination with foreign adversaries  Conspiracy to overthrow the government  Crimes against Humanity  Violation of Military Code of Justice What We Think We Know as of Sat. 18 July 2026:   Med Beds Thurs. 16 July 2026 BREAKING: TRUMP JUST SIGNED EXECUTIVE ORDER 2026-1947. MEDBED TECHNOLOGY DECLASSIFIED FOR CIVILIAN USE. THE PHARMACEUTICAL INDUSTRY HAS 90 DAYS. …Tier4b ISO 20022 on Telegram July 15, 2026. 04:00 AM EST. This was signed in silence. No press conference. No cameras. No media briefing. Executive Order 2026-1947: “Declassification and Civilian Deployment of Electromagnetic Regeneration Technology.” THE ORDER STATES:  All frequency-based healing technology currently classified under Department of Defense medical programs is hereby declassified for civilian research and deployment.  The FDA is prohibited from blocking, delaying, or interfering with the distribution of electromagnetic regeneration devices to the American public.  Pharmaceutical companies have 90 days to disclose all suppressed clinical trials involving frequency-based treatments — or face criminal prosecution under 18 U.S.C. § 1001.  Military medical facilities currently operating regeneration technology will begin civilian intake within 120 days. THE PANIC: Pfizer stock dropped 14% in pre-market trading. Johnson & Johnson emergency board meeting called at 5:00 AM. Moderna CEO sold $47 million in personal shares before market open. They KNEW this was coming. They tried to sell before the collapse. WHY NOW?: Trump's medical advisors presented him with a 3,400-page classified report documenting 61 years of suppressed frequency healing research. The report contained: — 847 successful clinical trials hidden from the public — 12,000+ patients fully cured of terminal conditions using electromagnetic frequency — Cost analysis showing MedBed treatment at $0.003 per session vs. $150,000 average cancer treatment Trump read the cost analysis. Then he signed the order. THE TIMELINE:  Day 1-30: Full declassification of all research documents  Day 31-60: FDA forced to approve frequency-based devices  Day 61-90: Pharmaceutical disclosure deadline (criminal penalties)  Day 91-120: First civilian MedBed centers open in 12 states THE DEEP STATE RESPONSE: They are already trying to k--l this. Three major media outlets received calls from pharmaceutical lobbyists at 5:30 AM demanding they do NOT report on EO 2026-1947. CNN has been silent. NBC has been silent. ABC has been silent. Their silence IS the confirmation. If this order was fake, they would be laughing at it on every channel. Instead — total blackout. Total silence. Total panic. THE TRUTH: The pharmaceutical industry just received its death sentence. 90 days. That's all they have left. After that, the technology that cures cancer in 42 minutes will be available to every American citizen. They had 61 years of profit. 61 years of human suffering. 61 years of suppression. It ends now. Fri. 17 July 2026 Fox News: MAJOR PUSH ON CAPITOL HILL: WAR ON FRAUD RAMPING UP, BILLIONS STOLEN FROM TAXPAYERS Social media investigator Nick Shirley testified today exposing rampant fraud — from Somali day care scandals in Minnesota to massive Medicaid scams in NYC with Dr. Oz. DOJ milestone: Trade Fraud Task Force hit over $1 BILLION in recoveries in under a year. Dr. Oz & others highlighting adult day care mills, fake billing, durable medical equipment scams (twice as many in parts of Florida as McDonald's), and personal care services as NYC's top “job.” This isn't red or blue, it's right vs. wrong. Hardworking taxpayers are getting robbed. Every dollar stolen is one less for real Americans. Restored Republic via a GCR Update as of Sun. 19 July 2026 by Judy Byington, On Sat. 4 July the Constitutional Republic Restored, While US Inc. Dissolved On Thurs. 16 July the Quantum Financial System Went Live Worldwide Also on Thurs. 16 July President Trump signed Executive Order 2026-1947 – a Declaration That Med Bed Technology Had Been Released to the Public. Global Martial Law Was Not Only The Only Way, But Was On It's Way The Republic of United States of America Was Being Restored Trust The Plan Save The Children _____________________________________________________ Judy Note: The Constitutional Republic has been restored. The Global Currency Reset to gold/asset-backed currency of 209 nations has been released. Med Bed technology – giving the body the ability to heal itself – was being released. The Illuminati Cabal, who for centuries had been working towards having complete control over our society, didn't like those ideas, and was fighting back big time. Trust The Plan. “On Sat. Evening 18 July 2026 the White House in Washington DC turned all red, signifying Mass Arrests were in motion.” …Q “In the coming hours, the World as we see it will be changed forever as Michael Jackson emerges on the Emergency Broadcast System – alive and ready to speak. It's time for the whole World to know the truth.” …Emergency Broadcast System on Telegram “The US Army Special Forces raided a hidden Obama property in the Virginia countryside, where they discovered “The Lucifer Codex.” The files proved that Obama was the high priest who personally opened the main hell portal under Washington DC in 2009.” …Martial Law on Telegram Temporary Martial Law has been raised to maximum alert nationwide. The EBS is preparing to release the first decoded pages within hours.   Prepare for ten days of communication darkness. We are in a silent war – the final battle of the planet. In the next couple of weeks the World will change and tremble. One of the most dramatic changes: Free Med Bed Treatments will soon be available to the general public across the Globe. The non invasive treatments, which generally take under an hour, use certain wave lengths to help the body heal itself. Since 2019 the American Medical Association has been actively fighting against allowing the public to have the healing treatments, saying they will create a financial crisis to the healthcare industry and force a complete overhaul of our medical, health insurance and pharmaceutical companies. In 2019 the American Medical Association (WHO) sent an internal email to every licensed physician in America – 847,000 doctors: The email acknowledged the positive effects of Electromagnetic therapy (Med Beds), but threatened the doctors with loss of license and criminal prosecution if they used it because of the financial affects it would have on the medical, insurance and pharmaceutical industries. The Email: “Updated Clinical Guidelines: Non-Pharmaceutical Electromagnetic Interventions — Position Statement: The AMA acknowledges that peer-reviewed evidence supports the biological efficacy of PEMF therapy in tissue regeneration, pain management, and immune modulation. However, widespread adoption would destabilize existing treatment revenue models and insurance reimbursement structures. Any physician who recommends, prescribes, endorses, or refers patients to electromagnetic frequency-based therapy will face immediate license revocation, removal from insurance networks, and potential criminal liability under state medical practice statutes.” The bottom line was that your doctor knew that frequency heals, that the MedBed principle was scientifically valid, that most of what he prescribed managed symptoms, not cured disease. He cannot tell you because his license would be revoked and he would face criminal liability by the American Medical Association. On Thurs. 16 July 2026 at 03:17 am Geneva time the World Health Organization deleted over 14,000 pages from their database – all related to the documented clinical effectiveness of electromagnetic frequency therapy on human disease (Med Beds). The deletion happened 14 hours after President Trump signed Executive Order 2026-1947 – a declaration that Med Bed Technology was now released to the public.The WHO knows that once MedBed technology enters civilian deployment, every document they ever buried becomes evidence of a crime against humanity. On a brighter side: “A senior Treasury Department official claims that the Quantum Financial System was live and the Global Currency Reset was happening now. Everything you know about money is about to change forever.” …Tier4b ISO20022 on Telegram The senior US Treasury official contacted us 48 hours ago through a secure channel. Her identity verified by six independent financial intelligence sources. She worked in Treasury's Special Financial Operations Division 2008-2026. She calls it “The Awakening.” Her words. Unedited: “July 4, 2026. U.S. Corporation dissolved. Constitutional Republic restored.” “July 16, QFS went live globally. Every major bank connected. Old system dead.” “GCR happening now. Every currency revalued. Gold-backed. Transparent.” “NESARA/GESARA implemented across 209 countries. Debt jubilee. End of Fed.” “Saint Germain Trust ($890 trillion) is being activated. Going to the people.” “I have the activation codes. I have the account numbers. I have the proof that this is happening right now. In 18 years, I witnessed:”  The QFS development from concept to deployment  209 countries signing onto NESARA/GESARA  The Saint Germain Trust verification ($890 trillion)  The U.S. Corporation dissolution documents  The Constitutional Republic restoration protocols “Trillions stolen by Fed. People enslaved by debt. We had the solution. I couldn't sleep. For 18 years.” WHY SHE'S TALKING NOW: “Activation complete. If I speak, people understand what's happening. I have 18 years of documentation. QFS architecture. Proof old system finished.” “The banks will announce the revaluation. The media will call it a crisis. It's not a crisis. It's liberation. I am ready to testify. Under oath. Before Congress. Before the world.” HER FINAL MESSAGE: “To every person who lost their home to the Federal Reserve: Your debt is forgiven. Your home is yours. The jubilee is here.” “To every person who worked their entire life for money that's about to be worthless: You will be compensated. The Saint Germain Trust is for you.” “To the Federal Reserve leadership: Your time is finished. The QFS is live. You cannot stop it anymore.”   OPERATION FINANCIAL FREEDOM ✓ ACTIVATED PHASE 1: QFS Activation ✓ LIVE (July 16) PHASE 2: Currency Revaluation ⟳ JULY 25 – AUGUST 8 PHASE 3: Wealth Distribution ⟳ AUGUST 15 – SEPTEMBER 30 PHASE 4: New Economy ⟳ OCTOBER 1 The Quantum Financial System is live. The Global Currency Reset is happening. NESARA/GESARA is being implemented. The old system is dead. The new system is born. The people are being liberated. Trump knows. The military knows. The intelligence agencies know. They are protecting the transition. PREPARE FOR ABUNDANCE. PREPARE FOR FREEDOM. PREPARE FOR THE NEW EARTH. The financial reset is here. The Tier 4B activation is complete. Everything changes now. Right now Military Forces are positioning for activation of the EBS. Systems are being readied, Global shutdown protocols are in motion. The Blackout is nearing. Disclosures are on the horizon. Large scale arrest Since 2007 the US Military has been using Red Light Therapy (Med Beds) to extend the operational lifespan of it's soldiers. There were discovered to be thousands of pages of foreign IP address sending and receiving data to election precincts and servers outside the United States during the 2020 Election. CISA, DHS, the FBI, and the CIA knew all about it because they were in on it. The Deep State rot runs deep, but not for much longer. The Mar-a-Lago unredacted search warrant CONFIRMS that the Biden DOJ, FBI, and GSA engineered and manufactured the plot to frame Donald J. Trump! On Thurs. 16 July 2026 the U.S. military went deep into Iran and expanded operations. Bridges and supply routes were no more. Airports went up in smoke. Infrastructure vaporized. The IRGC was being wiped out. The goal was to destroy Iran's infrastructure and its military capability would collapse. When its military broke, its regime would fall. The old world of Iranian tyranny was dead. The New World of American dominion begins. The oil runs freely. The cash was rolling in. Peace comes. …Nesara Gesara QFS on Telegram. The CIA knew about cures for cancer 50 years ago. …Nesara Gesara on Telegram Nick Shirley just went on national television and dropped this revelation: The Chinese and Korean Mafia is LOOTING MEDICAID and running a kickback scheme in NYC A nurse from one of America's hardest-hit C---D hospitals in NYC described gross medical mismanagement where clueless healthcare workers were straight-up k-----g patients. Survival wasn't about medicine — it was about whether your caregiver actually knew what they were doing. Medicare paid hospitals MORE when patients died. The system incentivized death over life.   Possible Timing: “On Sat. 18 July 2026 at 3:17 AM EST the RV/GCR exploded – Iraq, Vietnam, Zimbabwe, all revalued sky-high while the Cabal's Federal Reserve Note collapses in real time.” …Dr. Jim Willie Patriot Truth Archive on Telegram Global Currency Reset: Sat. 18 July 2026 The dollar is dead, the reset is here, and the traitors are about to lose everything. …Patriot Truth Archive on Telegram Dr. Jim Willie just went nuclear: the United States Corporation is bankrupt, the fiat dollar has been deliberately crashed by white hats, and the quantum financial system flipped live overnight. The RV/GCR exploded at 3:17 AM EST today Sat. 18 July 2026 – Iraq, Vietnam, Zimbabwe, all revalued sky-high while the cabal's Federal Reserve Note collapses in real time. Willie laid it out raw: The BRICS nations, led by Trump's secret alliance with Putin and Xi, just pulled the trigger. Over 209 countries locked into gold-backed currencies, the SWIFT system is offline forever, and the Rothschild central banks are being seized as we speak. NESARA/GESARA fully activated – all bank debt, mortgages, credit cards, student loans WIPED OUT starting tomorrow morning. Redemption centers on full lockdown, military guarding Tier 4B notifications going out within hours. The real bombshell? GITMO executions began at dawn – top bankers, Fed chairs, and deep state money launderers hanged for treason after the gold standard was restored. Med Beds rolling out next week, suppressed energy tech released, and the biggest wealth transfer in human history is hitting patriot accounts first. Trillions in restitution flowing to those who held the line and printed fake money. America is being shaken awake – power outages are tactical, internet blackouts cover the arrests, and the EBS is primed for the 10 Days of Darkness starting any moment. The storm isn't coming – it's here. The fake Biden corpse regime ends this week, Trump sworn in on the real Constitution, and the Republic rises from the ashes of their burned-out corporation. Anons, this is the moment we bled for. The dollar dies so we can live free. The evil empire of debt slavery is over. They stole our wealth for 150 years – now we take it all back with interest. The Hat is dropping truth like napalm: the shock is just beginning, and the cabal is screaming as their money turns to dust. Get ready for the greatest week in history. Notifications any second. Redemption appointments flood in. The Golden Age starts NOW. The shaking isn't destruction – it's liberation. Nothing can stop what's coming. Patriots are about to be richer than kings while the wicked burn. NCSWIC. Judy Note: No one knows the exact date for notification of appointments for Tier4b (us, the Internet Group) to exchange foreign currencies, but deadlines shown in the above Timing indicate it to be very soon. We have been told that Wells Fargo, which is controlled by the Chinese Elders – (the ones who own the gold behind the Global Currency Reset) – will send out emails to currency and bond holders worldwide telling them how to set redemption & exchange appointments. It is advised to exchange/redeem your foreign currency at an official Redemption Center (RC) rather than a bank. You can only redeem Zim at a RC, the Dinar Contract Rate can only be given at a RC and banks will offer you lower exchange rates than what you can obtain at a RC. You can only set up your new wallet (bank account) at a RC. It was my understanding that most banks were under control of the Cabal and would soon play a different roll in the Global Financial System. What We Think We Know as of Sun. 19 July 2026: Sat. 18 July 2026 Fox News: Nick Shirley just went on national television and dropped this revelation: The Chinese and Korean Mafia is LOOTING MEDICAID and running a kickback scheme in NYC “In Queens, adult day cares [have] pharmacies set up, it's this big racket where they BILL all these people with medical beneficiary numbers from seniors in the adult day cares. They make so much money from Medicaid, THEY GIVE KICKBACKS to the seniors.” “So you have these Korean and Chinese mafias, quite literally, looting the government from Medicaid, and then giving the kickbacks to the seniors!”   INGRAHAM: “So wait, the old people get the money themselves?” SHIRLEY: “Well, they make so much money, these pharmacies and these little day cares, that they then have a referral program set up for these seniors. So it's like bringing a friend will give you a hundred bucks.” Med Beds Sat. 18 July 2026 YOUR DOCTOR KNOWS. HE WAS TOLD TO STAY QUIET. HERE'S THE EMAIL THAT PROVES IT. …Tier4b ISO20022 In 2019, an internal email was sent to every licensed physician in the American Medical Association network. 847,000 doctors received it. The subject line read: “Updated Clinical Guidelines: Non-Pharmaceutical Electromagnetic Interventions — Position Statement” The email contained one directive: “Any physician who recommends, prescribes, endorses, or refers patients to electromagnetic frequency-based therapy will face immediate license revocation, removal from insurance networks, and potential criminal liability under state medical practice statutes.” Your doctor read that email. And then he looked you in the eye and said: “There's nothing else we can do.” THE EMAIL WAS NOT ABOUT SAFETY. Buried in paragraph 14 — the paragraph no one reads — was this sentence: “The AMA acknowledges that peer-reviewed evidence supports the biological efficacy of PEMF therapy in tissue regeneration, pain management, and immune modulation. However, widespread adoption would destabilize existing treatment revenue models and insurance reimbursement structures.” Read that again. Slowly. They ACKNOWLEDGED it works. Then they BANNED doctors from using it. Not because it's dangerous. Because it's too effective. WHAT YOUR DOCTOR ACTUALLY KNOWS: Every physician trained after 2005 was taught — in medical school — that:  Cells respond to electromagnetic stimulation (this is in every biophysics textbook)  PEMF accelerates bone healing (FDA approved since 1979 for fractures)  Transcranial magnetic stimulation treats depression (FDA approved 2008)  Electrical stimulation regenerates nerve tissue (published in Nature, 2019) They ALREADY know frequency heals. They use it in narrow, controlled applications where pharmaceutical profits aren't threatened. But the moment you ask: “If magnets can heal my bones, can they heal my cancer?” Your doctor goes silent. Changes the subject. Writes another prescription. Because he read the email. And he chose his license over your life.   THE DOCTORS WHO REFUSED TO STAY QUIET: Dr. Jerry Tennant — Published “Healing is Voltage.” Proved that every disease correlates with a measurable voltage drop in affected tissue. Restore the voltage, cure the disease. His medical license was “reviewed” three times. Dr. Dietrich Klinghardt — Documented frequency therapy curing Lyme disease in 85% of patients. Lost hospital privileges at two institutions. Dr. Thomas Lodi — Achieved 90%+ cancer remission using integrative frequency protocols. Forced to relocate his practice to Mexico. Dr. Lee Merritt — Spoke publicly about suppressed electromagnetic healing. Removed from every medical board she served on. They didn't lose their careers because they were wrong. They lost their careers because they were RIGHT — and they refused to be silent. THE MATH OF SILENCE: Average doctor salary: $350,000/year Average medical school debt: $241,000 Years to pay off debt: 13 years Cost of losing license: Everything They designed a system where speaking the truth costs a doctor their entire life's investment. 13 years of training. $241,000 in debt. Their home. Their family's security. The AMA didn't just threaten doctors. They built a financial prison that makes silence the only rational choice. Your doctor is not evil. He is trapped. But YOU are not trapped. You don't have a license to lose. You don't have $241,000 in debt holding you hostage. You have nothing to lose by knowing the truth. THE TRUTH: Your doctor knows that frequency heals, that the MedBed principle is scientifically valid, that most of what he prescribes manages symptoms, not cures disease. He cannot tell you. The email made sure of that. 847,000 doctors received one email. 847,000 doctors chose silence. The email has been leaked. The silence is over. Your doctor knew. Now you know too. On Thurs. 16 July 2026 at 03:17 am Geneva time the World Health Organization deleted over 14,000 pages from their database – all related to frequency healing. …EBS activated with Trump on Telegram A digital forensics team monitoring the World Health Organization's public research database flagged a mass deletion event. 14,247 pages of archived research — removed in a single batch operation. Every deleted file had one thing in common: They documented the clinical effectiveness of electromagnetic frequency therapy on human disease. THE DELETED FILES INCLUDED:  1,847 peer-reviewed studies on PEMF (Pulsed Electromagnetic Field) therapy showing 70-94% efficacy in tissue regeneration  3,200 pages of WHO internal memos from 1998-2015 discussing “the frequency problem” — their own term for the threat that non-pharmaceutical healing posed to global health economics  6,400 pages of clinical trial data from 11 countries showing frequency-based cancer remission rates between 67-89%  2,800 pages of correspondence between WHO directors and pharmaceutical executives discussing “containment strategies” for frequency healing research HOW WE KNOW: The Wayback Machine captured snapshots of 4,100 of these pages before deletion. Digital forensics teams archived another 7,300 through automated scraping protocols that were triggered by the mass deletion event. They deleted 14,247 pages. We recovered 11,400. They failed. WHAT THE MEMOS REVEAL: A 2003 internal WHO memo — now recovered — contains this exact sentence: “If electromagnetic frequency therapy achieves mainstream clinical adoption, the global pharmaceutical revenue model becomes unsustainable within 18-24 months. Containment is not optional. It is existential.” Signed by three WHO department heads. Names redacted in the original. Digital forensics has identified two of the three. A 2011 memo is more direct: “Recommend classification of all PEMF efficacy data as ‘inconclusive' regardless of outcome metrics. Peer review panels must be briefed accordingly.” They didn't suppress the research because it didn't work. They suppressed it because it worked TOO WELL. WHY NOW: The deletion happened 14 hours after Executive Order 2026-1947 was signed – Trump's declaration that Med Bed Technology was released to the public. This is not coincidence. This is panic. The WHO knows that once MedBed technology enters civilian deployment, every document they ever buried becomes evidence of a crime against humanity. They are destroying evidence. In real time. Right now. But the internet never forgets. And neither do we. THE NUMBERS THEY TRIED TO ERASE: — Breast cancer: 78% complete remission using 10.5 Hz PEMF (WHO Study WH-2007-4491, now deleted) — Type 2 diabetes: 64% reversal using 7.83 Hz exposure, 30 min/day for 90 days (WHO Study WH-2012-8823, now deleted) — Alzheimer's: 41% cognitive restoration using Gamma frequency 40 Hz stimulation (WHO Study WH-2014-1157, now deleted) — Chronic pain: 91% elimination using Alpha frequency 10 Hz (WHO Study WH-2009-3340, now deleted) These are not alternative medicine claims. These are the WHO's OWN studies. Conducted with their own funding. Showing their own results. And they just tried to delete them from existence. THE QUESTION: If frequency healing doesn't work — why delete 14,000 pages at 3AM? If MedBeds are “conspiracy” — why panic after a presidential executive order? If electromagnetic therapy is “pseudoscience” — why did the WHO spend 17 years studying it and then HIDE the results? Their actions are the confession. The deletion IS the proof. They spent 20 years hiding the cure in their own database. Then they tried to burn the database. The fire came too late. We already have the files. Share this. The evidence is secured. The deletion failed. Sat. 18 July 2026 BREAKING: JAPAN JUST BECAME THE FIRST COUNTRY TO OFFICIALLY APPROVE MEDBED TECHNOLOGY FOR PUBLIC HOSPITALS. THE MEDIA BLACKOUT IS TOTAL. …Tier4b ISO20022 on Telegram July 17, 2026. Tokyo, Japan. The Japanese Ministry of Health, Labour and Welfare just issued Directive MHLW-2026-7714: “Authorization of Electromagnetic Frequency Regeneration Devices for Clinical Deployment in National Healthcare Facilities.” This is not a trial. This is not a study. This is FULL APPROVAL. Starting September 1, 2026, electromagnetic frequency regeneration chambers will be installed in 340 national hospitals across Japan.   [Incomplete text due to character limit. Please see UBM website for links and full text]

Golden tar oss gjennom syklene sine - og de som mangler.. Episoden kan inneholde målrettet reklame, basert på din IP-adresse, enhet og posisjon. Se smartpod.no/personvern for informasjon og dine valg om deling av data.

Carl and Eitan are, frankly, more excited about seeing The Odyssey this weekend than discussing the news. They try their best.First off, the two discuss Apple's stunning accusations of IP theft by OpenAI. Then they dig into rumored development woes surrounding Netflix's television slate.

Our guest on This Week in Radio Tech episode 809 is Tim Berry, Chief Engineer at WUOT-FM, the public radio station at the University of Tennessee in Knoxville. WUOT combines NPR news with classical and jazz music, much of it still played live from CDs and occasionally from the station’s enormous collection of LPs. Tim gives us a tour of the control room, performance area, technical center, and an extraordinary music library that also includes thousands of historic 78 RPM records. We’ll see one of Tennessee’s earliest Audio over IP installations, built around Axia Livewire technology and operating for about 15 years. Tim also maintains more than 20 analog and digital amateur radio repeater sites throughout East Tennessee. Join us for a fascinating look at preserving broadcasting’s rich history while planning the technical upgrades that will carry WUOT into the future. Show Notes:Pioneers & Engineers - The WUOT Story Guest:Tim Berry, CBRE, CBT - Chief Engineer at WUOT-FM & WUTK-FM "UT's College of Rock!" Host:Kirk Harnack, The Telos Alliance, Delta Radio, Star94.3, South Seas, & Akamai BroadcastingFollow TWiRT on Twitter and on Facebook - and see all the videos on YouTube.TWiRT is brought to you by:Broadcasters General Store, with outstanding service, saving, and support. Online at BGS.cc. Broadcast Bionics - making radio smarter with Bionic Studio, visual radio, and social media tools at Bionic.radio.Aiir, providing PlayoutONE radio automation, and other advanced solutions for audience engagement.Angry Audio and the new USB Phone Gizmo - Put VoIP callers on-the-air The new MaxxKonnect RMT416 Multi Tuner - 4 to 16 AM/FM/WB/HD web-connected tuners in 1 RU Subscribe to Audio:iTunesRSSStitcherTuneInSubscribe to Video:iTunesRSSYouTube

Our guest on This Week in Radio Tech episode 809 is Tim Berry, Chief Engineer at WUOT-FM, the public radio station at the University of Tennessee in Knoxville. WUOT combines NPR news with classical and jazz music, much of it still played live from CDs and occasionally from the station's enormous collection of LPs. Tim gives us a tour of the control room, performance area, technical center, and an extraordinary music library that also includes thousands of historic 78 RPM records. We'll see one of Tennessee's earliest Audio over IP installations, built around Axia Livewire technology and operating for about 15 years. Tim also maintains more than 20 analog and digital amateur radio repeater sites throughout East Tennessee. Join us for a fascinating look at preserving broadcasting's rich history while planning the technical upgrades that will carry WUOT into the future.

This week's video transcript summary is here. You can click on any bulleted section to see the actual transcript. Thanks to Granola for its software.There was an issue with this only going to paid subscribers, so sending it again. Apologies to those who get it twice. I appreciate being paid so feel free to upgrade if you enjoy TWTW.EditorialIntelligence: Who Owns it?This week the word “AI” feels too small.AI is a technology. Intelligence is its product. And if intelligence is the product, the question is no longer just: Which model is best? Who has the cheapest tokens? Who owns the weights? Who controls the data center? Those are important questions, but they are lower in the stack.The bigger question is simpler and more political:Who owns intelligence?That sounds abstract until you make it concrete. Intelligence is becoming something companies can capture, package, serve, meter, route, improve, and sell.It can write code, answer questions, design molecules, automate offices, run agents, draft legal work, advise scientists, serve consumers, and reshape workflows. It is not merely software. It is a general-purpose capability. And all humans could benefit from more of it.General-purpose capabilities have a habit of becoming public questions. But the default answer, that public good is best delivered by government, is the wrong answer in this context.The Product Is IntelligenceWe should stop talking about AI as a feature and start talking about intelligence as the universal thing that is delivered as an input to the world.Water is an input. Electricity is an input. Literacy is an input. Connectivity is an input. Once a society depends on them, access stops being optional. Nobody needs government to build every well, power plant, school, or network. But everybody understands that a civilization cannot be organized around less than universal and reliable access to foundational inputs.Intelligence is reaching that level of importance now that we all know it is real.Government should not own it, operate it, or develop it. Quite the opposite. Companies are the right actors to build fast, compete hard, improve models, serve customers, and discover the real use cases. Self-interest is a useful framing here. Markets are good at finding demand, reducing costs, and turning invention into services people actually use.Companies are the right operators, developers, and owners. But that does not settle the real question of who owns the benefits. That is an economic question.If intelligence becomes metered infrastructure, what happens to the value it creates?The Ownership StackThis week's articles keep circling the same issue from different directions but in the nature of ‘circling' never quite nail it.Jamin Ball's “Own Your Weights” starts with the enterprise version of the question. Owning a model file is not enough. The durable asset is the loop: the data flywheel, the evaluations, the reinforcement system, the workflow learning, and the operating context that lets capability compound.Benedict Evans' “Ways to Think About Token Pricing” adds the market layer. Tokens may become essential, abundant, and cheap, like mobile data. But being essential does not guarantee that the token layer captures the value. The money may move up the stack to whoever owns the workflow, the customer, the distribution, or the application.Alex Karp's fight with the labs, reported in “Alex Karp Is Saying What Every Angry CEO Is Thinking About AI”, is the same argument in sharper enterprise language. Companies are afraid that model providers will not just sell intelligence, but learn from customer workflows and then move into the markets where those workflows create value. The “All-in” group are echoing Karp's view.And “What Is Loop Engineering, and Who Owns It?” names the new contested terrain. The loop is where intelligence meets the world. Whoever owns the loop owns the learning. Whoever owns the learning owns the compounding asset.That is why “who owns intelligence?” is not a slogan. It is the question under the model layer, the application layer, the enterprise layer, and the economic layer.Because intelligence is the product, the tools creating it are fragmented and competitive. So there is no logic in trying to discuss this at the level of a single company or set of tools and models.The Old Promise Was That Commerce Would Tame PowerThe essays this week give the historical backdrop.Deirdre McCloskey, in “What Really Caused the Industrial Revolution”, argues that modern growth came not simply from capital accumulation, but from a change in permission: ordinary people were allowed to innovate, trade, build, and be honored for it.That matters because intelligence could be another expansion of permission. It could make more people capable of building, learning, creating, coding, researching, translating, selling, and coordinating. It could lower the cost of competence.But only if access is broad.Paul Krugman's “AI in an Age of Oligarchy” warns that the same technology lands differently in different political economies. A new general-purpose technology entering a broad, open, upwardly mobile society is one thing. The same technology entering a concentrated economy, with extreme wealth and weak counterweights, is another.Tim O'Reilly's Economist essay, “Elon Musk is building a form of capitalism that Adam Smith would hate”, makes the governance point more directly. The old liberal hope was that commerce would tame arbitrary power. Markets, boards, courts, shareholders, disclosure, and competition would discipline the prince.But what if the prince uses markets to escape discipline?Henry Farrell's “political economy of billionaire derangement” pushes the same point. Founder culture, monopoly ambition, peer rivalry, weak correction mechanisms, and vast private control can amplify appetites rather than restrain them.The danger with intelligence is not that companies build it. They should. Companies build it, meter it, use public tolerance and public infrastructure to scale it, learn from everyone who uses it. All of those things are inevitable and healthy. Market forces will sort out winners from losers. The real danger is that the winners treat all of the surplus produced as purely private.Metered Intelligence Creates SurplusIf metering is not the problem, what is?The problem is pretending that metered intelligence creates value only for the metering entity. Metering water is only tolerated as a public good. If the public were blackmailed by a private water company with the threat of no water we would all rebel.Once we understand that the product of AI is intelligence we can see that every time intelligence is used, there is the immediate transaction: the user pays, the provider serves.But there is also system value. Usage creates signals. Workflows reveal patterns. Prompts, corrections, failures, preferences, integrations, edge cases, and business processes all help define where intelligence is useful and how it should improve. Intelligence breeds intelligence.Even when customer data is contractually protected, the market learns. The platform learns where demand is. The product team learns which workflows matter. The ecosystem learns which jobs are vulnerable, which tasks are automatable, and which parts of the economy can be reorganized around machine intelligence.So the surplus is not born in a vacuum.It rests on public science, public education, public data exhaust, public law, public infrastructure, public energy systems, public tolerance for data centers, and billions of human interactions. It is served by companies, but it is not made only by companies.This is why “Americans Deserve a Dividend From AI Companies' Riches” belongs at the center of this week's issue. The detail can be debated. The principle is harder to dismiss. If intelligence becomes a new foundational resource, then some part of the wealth it creates should flow back to the people whose society makes it possible. Intelligence did not suddenly appear. AI is built on the entire history of human intelligence. It benefits from it and at the same time evolves it.Not Nationalization. A Human Wealth Fund.If intelligence belongs to everybody, some conclude that government ownership of intelligence is the right outcome.Governments are not well suited to build, operate, or improve intelligence. They will move too slowly, regulate too early, politicize the wrong things, and confuse economic participation with operational control.Andrew McAfee's “Why I Didn't Sign the AI Open Letter” is useful here. His objection is not that the technology is unimportant. It is that steering too hard before we understand the shape of the change can become its own failure mode. Marc Andreessen's satire of AI regulation is less policy than temperament, but it captures a real Silicon Valley fear: that regulation can become permission, capture, and incumbency before it becomes wisdom.That fear should be taken seriously.But it does not answer the economic question. It answers only the operational one.How can the economic benefits of intelligence be distributed? The better answer is a sovereign human wealth fund.Call it a sovereign wealth fund if you must, but the phrase is too national. Intelligence will not respect borders. The leading companies are global. The models, chips, data centers, agents, platforms, and workflows will be transnational from the beginning. If the value created by intelligence is global, then the mechanism for sharing some of that value should begin with the companies global enough to capture it. The nice thing about xAI, OpenAI, and Anthropic is that they are supranational.These companies own and operate intelligence. Let them compete. Let them profit. Let them keep the incentives that make the system improve. But if intelligence is the new water, the wealth it creates cannot belong only to the companies that meter it. And they, themselves, have the power to fix it, even more than governments.Access will become a Human Right; Ownership Is the Economic DesignThis is where human rights come in. There is no right to access an AI model, yet. But there will soon be a need to change that.Not as a claim that every person is entitled to every frontier model at every moment for free. That is not serious. Capacity has costs. Models have costs. Inference has costs. Data centers have costs. Although those costs will decline over time, possibly quite quickly as self-learning models address costs.The claim is more basic: in a world where intelligence becomes a primary input into education, work, health, science, citizenship, creativity, and economic agency, baseline access to intelligence starts to look like a civic requirement.That could mean public access layers. It could mean education credits. It could mean open models. It could mean AI dividends. It could mean public-interest compute. It could mean taxes on rents. It could mean a company-initiated human wealth fund that returns some of the upside to society without handing the operating system to the state. The latter could couple wealth growth with universal distribution of ownership.The exact mechanism matters. But the distinction matters more.Government should not own intelligence. It should be universally available. And people should have a claim on the wealth intelligence creates.The Frontier Is Also PhysicalThe abstraction is not weightless.“The Fight Against AI Data Centers Is Just Beginning”, “New York becomes the first state to enact a data center moratorium”, Reuters on pollution from Musk's xAI power project, and DataGravity's “Who Captures Value in AI Infrastructure?” all say the same thing from the ground up.Intelligence uses land. It uses power. It uses water. It uses chips. It uses grid capacity. It uses neighborhoods. It uses public patience.That makes the value question unavoidable. A society can accept the buildout if the buildout is legible as shared progress. It will resist it if the costs are local, the profits are private, and the benefits feel enclosed.Who Owns the “Loop”?The week ends where it began.“Anthropic and Blackstone” are betting that implementation is the next trillion-dollar business. “Vint Cerf” is working on identity for agents on the open internet. “GPT-Red” points toward systems that improve their own robustness. “Kimi K3” adds another open frontier model to the global mix.The model race continues. The deployment race is accelerating. The governance race is behind.My view is this:The central product of this era is intelligence. Companies have figured out how to capture it, package it, serve it, and meter it. That is good. It should stay in the hands of builders who have the incentive to make it better.But intelligence is too foundational to become just another private toll booth. A significant part of it will turn out to be free to users.As intelligence becomes a general-purpose resource, then access to it becomes a human-capability question, and the surplus from it becomes an economic-justice question. Not because government should run it. Because government should not run it. The operating layer belongs with companies. The wealth question belongs with everyone. But companies are best placed to turn that into a process of distribution.The question is not whether companies should build intelligence. They should.The question is whether humanity gets a stake in the wealth created by the thing that may soon become its most important shared input.Contents* Essays* Deirdre McCloskey on What Really Caused the Industrial Revolution* AI in an Age of Oligarchy* Elon Musk is building a form of capitalism that Adam Smith would hate* Murky Mirror: Truth and Consequences* The political economy of billionaire derangement* Is there any “oligarchy” to fight?* AI* Nearly 200 Economists and Tech Leaders Warn of A.I. Threats* Why I Didn't Sign the AI Open Letter* Own Your Weights* Ways to Think About Token Pricing* Alex Karp Is Saying What Every Angry CEO Is Thinking About AI* The AI Agents Are Coming for Microsoft Office* What Is Loop Engineering, and Who Owns It?* The Fight Against AI Data Centers Is Just Beginning* 6 months to live for open models* Americans Deserve a Dividend From AI Companies' Riches* Who Gets to Define the Frontier?* GPT-Red: Unlocking Self-Improvement for Robustness* Anthropic, Blackstone bet the next trillion-dollar AI business is implementation, not just models* Vint Cerf is working on a plan to unleash AI agents on the open internet* xai-org/grok-build, now open source* The Pulse: What can we learn from Bun's rapid Rust rewrite with AI?* Orphan risks at the frontier of artificial intelligence* The Lab of the Future Should Feel Like a Data Center* Why AMI Labs' Alexandre LeBrun won't call his AI “AGI” or “superintelligence”* Kimi K3 Tech Blog: Open Frontier Intelligence* Venture Capital* Three Years In* Venture Has Rarely Looked More Bifurcated* The Best Angel Investors in the US: Who Backs the Most Unicorns, and Who's Active Now* Are Prediction Markets Doomed to Fail?* Regulation* Exclusive: The Next Frontier of the Deportation Wars: College Campuses* The Supreme Court Broke Independent Agencies. Here's a Way to Slow the Damage.* India's crackdown on a new WhatsApp feature risks setting a global precedent* Let's build a children's public internet* Computer cops* Google is better at playing the AI regulations game* Infrastructure* Who Captures Value in AI Infrastructure?* New York becomes the first state to enact a data center moratorium* Pollution from Musk's unpermitted xAI power project hits hardest in Black communities* Interview of the Week* The End of the End of Geography* Startup of the Week* Radical AI's Joseph Krause: The Scientist Building The “Waymo” Lab For New Materials* Post of the Week* Marc Andreessen on AI RegulationEssaysDeirdre McCloskey on What Really Caused the Industrial RevolutionYascha Mounk and Deirdre McCloskey | Persuasion | July 11, 2026Yascha Mounk interviews Deirdre McCloskey about her argument that the modern world's economic liftoff came less from capital accumulation than from a change in ideas. McCloskey says both left and right versions of the conventional story rely too heavily on investment: the left stresses exploitation and surplus value, while the right stresses virtuous saving by capitalists. Her objection is historical and economic. Human beings had always invested, from irrigation works and Roman roads to seed grain, and simple accumulation quickly runs into diminishing returns.McCloskey's alternative is that northwestern Europe, first Holland, then Britain and Scotland, and then the North American colonies, developed a liberal ideology that changed who was allowed to innovate and be honored for it. The conversation links that shift to the erosion of inherited hierarchy, the spread of dignity for ordinary commercial life, and a moral vocabulary in which liberalism is not merely procedural but connected to virtues and values. The point is not that machines, coal, trade, and institutions did not matter, but that they do not explain the scale and timing of modern enrichment without a cultural permission structure for innovation.The interview also turns to the contemporary defense of liberalism. Mounk frames the series around the worry that liberalism is often treated as too thin to command allegiance, while its opponents speak more directly to moral passions. McCloskey's case is that liberal societies became rich because they dignified experimentation and ordinary enterprise, and that liberals need to recover the moral language behind that claim.Read moreAI in an Age of OligarchyPaul Krugman | Paul Krugman | July 12, 2026Paul Krugman frames AI as a major technological shock arriving inside an already unequal political economy. The post says AI's economic and social effects may take years to understand, but argues that the setting matters now: America has much greater wealth concentration and political inequality than it did in the 1950s and 1960s, when progressive taxation, stronger regulation, and more active antitrust might have contained some of the destructive effects of a new technology.Krugman's opening claim is that the same technology would likely have different consequences in a more level society. In today's United States, he writes, extreme wealth is both a cause and effect of policies that favor a small elite, including low effective taxes on capital and high incomes, weak enforcement of worker protections and antitrust, and cuts to programs that benefit ordinary Americans.The article is explicitly more about oligarchy than AI. Krugman says the paid sections document the rise of the “.0002%,” the economics and politics of extreme wealth, how oligarchy will shape AI's impact, and possible policy paths. His caveat is that AI itself may still produce a pushback against oligarchy, but absent that, he expects the pre-existing concentration of wealth and power to magnify AI's downsides.Read moreElon Musk is building a form of capitalism that Adam Smith would hateAuthor: Tim O'Reilly Published: July 12, 2026Tim O'Reilly argues that Elon Musk is using the legal forms of shareholder capitalism to escape the restraints that shareholder capitalism was supposed to impose. The article begins with SpaceX's public-market structure: ordinary public investors get little meaningful governance power, Musk keeps roughly 85 percent of the votes through super-voting shares, buyers waive jury trials and class actions, the company qualifies as controlled, and removal of Musk depends on the share class he controls. In O'Reilly's framing, that is not ordinary founder control; it is a design for being answerable to no one, possibly beyond Musk's own lifetime.The killer detail is the article's turn through Albert Hirschman, Montesquieu, James Steuart, Adam Smith, and Keynes. Older defenses of commerce held that markets would tame princely passions because the self-interest of merchants was safer than arbitrary rule. O'Reilly says Musk reverses that hope. The market discipline that was supposed to cage the prince has become the lever by which the prince raises capital, removes feedback loops, and carries private power into politics, government, Mars, robots, AI, or whatever ambition comes next.The pull is the link to AI governance. O'Reilly says corporations are already a kind of artificial intelligence: narrow-input systems that act at a scale no individual human can match. Their partial controls include independent boards, shareholder votes, courts, disclosure, regulators, public pressure, and activism. If the leaders building frontier AI strip those alignment mechanisms out of their own companies, the governance of the company becomes a preview of the governance of the machine.Read more: The EconomistMurky Mirror: Truth and ConsequencesAuthor: Esther Dyson Published: July 14, 2026Esther Dyson argues that today's institutional crisis is better viewed through the 14th century than through recent political history. Using Barbara Tuchman's A Distant Mirror as her frame, she compares a world of famine, plague, church schism, feudal predation, and purposeless war with a present in which institutions again feel brittle, incentives are badly aligned, and power is shifting into forms that are hard to govern.The killer detail is the historical analogy between land, corporations, and AI. Dyson moves from nobles who controlled serfs and territory, to the East India Company as a quasi-sovereign business, to today's AI systems and data centers as a possible new sector that crosses and weakens both nation-states and companies. The question is whether AI becomes a new kind of private land, owned by a new nobility, or an open prairie that many people can cultivate.The pull is human attention. Dyson says the central question is not what AI will do to people, but how people will react to it: whether they can value love, kindness, embodied attention, and artisanal human presence in a world of seductive artificial offerings.Read more: SourceThe political economy of billionaire derangementAuthor: Henry Farrell Published: July 15, 2026Henry Farrell argues that the visible political radicalization of some Silicon Valley billionaires is not a random personality quirk, but a product of the political economy that made them. Starting from Tyler Cowen's dismissal of “billionaire derangement syndrome” and Tim O'Reilly's warning that Elon Musk is using shareholder capitalism to escape shareholder restraint, Farrell flips the phrase: the question is why billionaires themselves can become deranged.The killer detail is Farrell's use of Peter Thiel as both theorist and example. Thiel's Stanford lectures described startups as monarchies and founders as figures vested with unusual power, while Silicon Valley culture rewarded eccentricity, monopoly ambition, and founder exceptionalism. Farrell says those ideas combined with dense founder-investor networks, peer rivalry, and weak correction mechanisms to amplify rather than discipline princely appetites.The pull is the ideological problem for classical liberals who once saw tech wealth as an ally of markets and freedom. Farrell says commerce did not tame the passions; in parts of Silicon Valley, the passions have begun to devour markets, institutions, and the liberal story that justified them.Read more: SourceIs there any “oligarchy” to fight?Matthew Yglesias | Slow Boring | July 16, 2026Matthew Yglesias argues that “oligarchy” is a rhetorically powerful but analytically loose way to describe American politics. The post begins from Bernie Sanders' “Fighting Oligarchy” tour, Amy Klobuchar's warning about a MAGA “broligarchy,” and the long afterlife of the Martin Gilens and Benjamin Page paper that was widely summarized as showing that only the rich matter in policy outcomes. Yglesias says the evidence supports a weaker claim: affluent people and business leaders have unusual access and influence, but that is not the same as rule by a small cabal.His main distinction is between inequality and oligarchy. The Gilens-Page measure treated the top 10 percent of households as “the wealthy,” and later critics found that rich and middle-class preferences usually align; in the cases where they differ, the rich win about 53 percent of the time. Yglesias also says business executives get special access partly because their decisions are materially important to communities, jobs, investment, and local tax bases, not only because of campaign donations.The post preserves Jerusalem Demsas' counterpoint from their podcast discussion: privileged donor and business access can still violate democratic equality even if the oligarchy label overstates the structure of power. Yglesias' narrower claim is that Democrats should be precise about what problem they are trying to solve, because donor influence can also push the party left on climate and cultural issues in ways that alienate many voters.Read more: Slow BoringAINearly 200 Economists and Tech Leaders Warn of A.I. ThreatsAuthor: Ben Casselman Published: July 13, 2026Ben Casselman reports on “We Must Act Now,” a statement warning that artificial intelligence could transform the economy faster than any previous technology and that policymakers need to move faster to understand and respond. The statement says AI may become radically more powerful over the next 10 years, bringing risks such as large-scale job displacement as well as opportunities such as higher living standards. Nearly 200 people signed, including 15 Nobel laureates, the chief economists of OpenAI and Anthropic, Anthropic co-founder Jack Clark, former Google CEO Eric Schmidt, and venture capitalist Vinod Khosla.The killer detail is who joined the warning. Casselman notes that the signatories include economists who have historically been skeptical of Silicon Valley's most dramatic AI job-loss forecasts, including Daron Acemoglu and Simon Johnson, the MIT professors who won the 2024 Nobel in economics. Erik Brynjolfsson, who helped organize the statement, says there has been a notable change in the profession and that economists and policymakers are not ready for the “tsunami” he sees coming.The pull is the measurement problem. The statement does not offer a specific policy menu, but calls for economists, policymakers, and industry leaders to understand the economics of transformative AI and steer it toward complementing humans. Brynjolfsson says one high priority is better data on AI's spread and impact, because current measures tell conflicting stories about job losses and which workers are most exposed.Read more: The New York TimesWhy I Didn't Sign the AI Open LetterAuthor: Andrew McAfee Published: July 13, 2026Andrew McAfee explains why he did not sign “We Must Act Now,” the AI economy statement organized in part by his longtime collaborator Erik Brynjolfsson. McAfee agrees with the letter's starting point that AI is likely to become radically more powerful over the next decade and that it is a general-purpose technology. His objection is not to urgency or to studying AI's economic effects, but to the framing of risk, displacement, and institutional steering as the first move.The killer detail is McAfee's line edit. He says the original letter comes close, then “bounces off the crossbar” by calling for incentives, guardrails, and institutions to steer AI before we know enough about its actual impacts. He points to mixed current evidence: labor-market canaries, but also rising software job postings, low unemployment for younger workers, rising real median income, and claims that AI-adopting companies are adding workers faster than low-adopting peers. His worry is that the letter leans toward upstream governance and dirigisme when the evidence may call for capability building instead.The pull is his replacement statement. McAfee keeps the three-paragraph structure but changes the emphasis: AI is likely to become radically more powerful; like earlier world-changing technologies it will raise living standards while also bringing harms and shocks; and economists, policymakers, and technology leaders should build the capabilities to respond quickly and effectively. It is a concise version of the permissionless-innovation case inside the AI policy debate.Read more: The Geek WayOwn Your WeightsAuthor: Jamin Ball Published: July 10, 2026Jamin Ball argues that the enterprise AI debate about whether companies should “own their weights” or rent models from frontier labs is asking too narrow a question. A model weight file gives a company control over a point-in-time artifact, but not durable control over the capability stack. In his framing, the weight file is a melting ice cube: it does not get worse in absolute terms, but it falls behind as frontier systems improve and enterprise needs change.The killer detail is what Ball says companies really need to own: the data flywheel, reinforcement learning infrastructure, and evaluation harness that produce and improve the model. Simply deploying an open-weights model and declaring sovereignty leaves the enterprise with yesterday's capability and no way to compound workflow-specific learning.The pull is that enterprise AI control may be less about model ownership than operating ownership. The defensible layer is the system that turns company data, edge cases, business definitions, and evaluations into continuously improving performance.Read more: Clouded JudgementWays to Think About Token PricingAuthor: Benedict Evans Published: July 9, 2026Benedict Evans argues that today's AI token prices are a temporary signal from a supply-constrained market, not a reliable guide to long-term value capture. The open question is whether foundation models keep durable pricing power or become commodity infrastructure as data-center capacity, inference efficiency, and model competition all shift. His current read is that the visible market dynamics point toward commoditization unless something materially changes.The killer detail is the mobile data analogy. Evans says cellular networks became a trillion-dollar industry with hundreds of billions in capex after data usage exploded, but carrier stocks went nowhere because value moved up the stack. Tokens may behave similarly: an opaque unit tied to marginal cost, sold through bundles, essential to everything, yet not necessarily where profits accrue.The pull is uncertainty, not prediction. Evans lists paths to model dominance, including network effects, less competition, regulation, export controls, or a lab pulling ahead on execution, but says each requires a new fact not yet visible. Without that change, the model layer looks more like infrastructure beneath the products that capture value.Read more: SourceAlex Karp Is Saying What Every Angry CEO Is Thinking About AIAuthor: Tim Higgins Published: July 11, 2026Tim Higgins reports that Palantir CEO Alex Karp has turned corporate frustration with AI labs into a public argument about enterprise control. Palantir released a white paper, “Institutional Sovereignty in the Age of AI,” laying out steps companies and governments can take to protect themselves from OpenAI, Anthropic, and other foundation-model providers. The article links that paper to Karp's CNBC appearance, where he said “something has gone completely wrong” in the relationship between AI labs and customers and argued that enterprises are paying for tokens that create little value.The killer detail is the value-capture question. Higgins writes that Karp's critique has resonated because AI labs may gain power and insight from customer data, workflows, and decision-making, even when enterprise policies say customer data are not used for training. David Sacks amplified the concern by arguing that Anthropic is moving from the model layer into vertical applications such as science, security, legal, and coding, raising the fear that model providers will watch where value is being created and then move into those markets directly.The pull is that Karp is not alone, even if his style is unusually combative. Higgins notes that Satya Nadella has also warned that companies need to retain the learnings created when they use AI models, while Mark Zuckerberg has framed Meta's new model release partly around lower-cost frontier intelligence. The article presents Karp's campaign as one sign that established technology companies and large enterprises are trying to define where they fit when AI labs become central infrastructure, application competitors, and potential IPO giants at the same time.Read more: The Wall Street JournalThe AI Agents Are Coming for Microsoft OfficeAlex Wilhelm | Cautious Optimism | July 11, 2026Alex Wilhelm argues that one of the week's quieter AI questions is whether the productivity market that Microsoft successfully moved into subscription software is now being attacked by agentic tools. The piece begins with the infrastructure backdrop: SK Hynix raised $26.5 billion in a U.S. listing while building U.S. HBM and advanced-packaging capacity, and memory, chip, and foundry companies are now priced for sustained AI demand.Wilhelm then says the AI conversation has shifted quickly from raw capability to cost per task. He cites new model releases and vendor language emphasizing cheaper agentic and coding models, faster performance, and lower dollars per task. That matters because lower costs make it more plausible for AI systems to take on routine knowledge work at scale rather than remain a premium coding assistant market.The core of the article is Microsoft Office. Wilhelm notes that Microsoft turned Office from a one-time purchase into Microsoft 365, a large recurring revenue business with tens of millions of subscribers and a major productivity segment. Now, he says, late-stage unicorns and AI labs are pushing into the same territory: Anthropic's Cowork was reportedly used mostly outside software development, OpenAI merged ChatGPT and Codex into a tool for creating sheets, slides, docs, web apps, and long-running work, and other companies are building agentic coworkers that connect business data to documents, workflows, schedules, alerts, and apps.The article's caveat is that Microsoft has survived major platform shifts before. The argument is not that Office disappears quickly, but that the definition of office software is broadening from documents and spreadsheets into AI systems that can create, monitor, and act across workplace data.Read moreWhat Is Loop Engineering, and Who Owns It?Author: Nilesh Barla Published: July 11, 2026Nilesh Barla argues that “loop engineering” is becoming a distinct discipline because production AI agents now fail less at single prompts than at runtime: when to stop, what state to preserve, and how to recover after a bad step. Prompt engineering shapes one model call, and context engineering shapes what the model sees, but loop engineering shapes what a sequence of calls actually does.The killer detail is the three-primitives frame. Barla says a real agent loop needs halt conditions, state carryover, and recovery paths, then maps teams across five maturity levels. At the lowest level, an agent is just a model call in a for-loop with a step cap and raw history; by the higher levels, the system has structured state, explicit planning, replay, evaluation, and self-repair.The pull is organizational. If agents are becoming production systems rather than demos, someone has to own the runtime itself. The loop engineer is the role Barla gives to the person responsible for making long-running agent work dependable.Read more: Adaline LabsThe Fight Against AI Data Centers Is Just BeginningEmma Roth | The Verge | July 12, 2026Emma Roth argues that community resistance to data centers has moved from an early warning sign into a national political fight as AI facilities grow larger, more power-hungry, and more visible to nearby residents. The article starts with Apple's failed 2015 plan for a $1 billion data center in Athenry, Ireland, where a small group of residents challenged the project over noise, light pollution, flooding, traffic, and wildlife effects until Apple abandoned it in 2018.The current data-center buildout is presented as much larger and more contentious. Roth writes that residents now cite rising energy costs, water quality, noise, light pollution, and greenhouse gas emissions, while the U.S. Energy Information Administration expects commercial energy demand to surpass residential demand this year because of AI data centers and Goldman Sachs expects data-center power demand to double by 2027.The central evidence comes from Data Center Watch, which says protesters blocked or delayed at least 75 U.S. projects worth $130 billion from January to March, with active opposition groups more than doubling from 396 at the end of 2025 to 833 by the end of the first quarter of 2026. Roth also cites QTS abandoning a $12 billion Wisconsin campus, Delaware City regulators blocking a 580-acre project under the Coastal Zone Act, opposition stopping a QTS project in Prince William County, and pressure that pushed Kevin O'Leary to downsize the proposed 40,000-acre Project Stratos in Utah.The policy section describes a split between federal acceleration and local resistance. President Trump has treated data centers as part of the AI race with China and fast-tracked construction, while some Republican candidates are distancing themselves from that position ahead of midterms. Sanders and Ocasio-Cortez have proposed a moratorium until price and environmental protections exist, bipartisan lawmakers are backing ratepayer-protection measures, and states including Florida, Idaho, and Washington have passed rules on cost shifting, water use, and tax breaks. Roth's caveat is that the policy patchwork is still incomplete, leaving many communities to fight project by project.Read more6 months to live for open modelsAuthor: Nathan Lambert Published: July 12, 2026Nathan Lambert argues that open-weight AI models are facing their most serious policy test so far because U.S. officials are beginning to discuss concrete controls rather than abstract safety concerns. He says reported White House conversations about a new executive order may initially target Chinese-origin models and government use, but could create a broader review habit for frontier open models. His forecast is that a model above the capability range of GPT-5.5, Claude Opus 4.8, or GLM-5.2 could trigger a ban or indefinite delay within six months.The post separates two policy fights that are becoming intertwined: distillation and frontier capability. Lambert says the distillation campaign against Chinese models has become a form of regulatory capture because Anthropic and other closed-model companies would gain economically if Chinese open models were banned. He does not dismiss IP protection, but argues that if a closed model's capabilities are dangerous enough to justify restricting open models, the lab also has to explain why those capabilities are exposed through a queryable API. He cites unauthorized access to Anthropic's Mythos private beta as evidence that APIs are not automatically secure.The broader claim is that a unilateral U.S. ban would hurt positive actors more than bad actors if comparable open models remain available elsewhere. Lambert says the only durable ceiling would require global agreement, which does not exist, and that open models can improve safety by allowing broad inspection, adaptation, and understanding. His proposed near-term off-ramps are a strong U.S. open model release from companies such as Microsoft, Meta, or Reflection, and a broader coalition of open-source beneficiaries lobbying for safe rollout rather than prohibition.Read more: SourceAmericans Deserve a Dividend From AI Companies' RichesAuthor: Scott Stanford Published: July 14, 2026Scott Stanford argues that proposals to give the government a stake in AI companies miss the point unless ordinary citizens directly receive and control the upside. Sam Altman has discussed giving up equity in OpenAI, Washington already owns a stake in Intel, Nvidia is sharing China chip revenue, and Bernie Sanders wants large AI labs to contribute half their stock to a sovereign wealth fund. Stanford says those ideas all park value with the state, not with people.The killer detail is New Carlisle, Indiana, where AWS's Project Rainier is turning cornfields into one of the world's largest AI superclusters. The project is planned to run up to a million chips, draw more than two gigawatts of power, and represents an investment that has grown from $11 billion to $13.8 billion. Stanford uses that local transformation to argue that AI's public bargain should be visible at the household level.The pull is design. A citizen AI dividend would have to specify who earns a stake, how they hold it, and when they see cash. Without that mechanism, the AI wealth debate remains a fight over government balance sheets rather than public ownership.Read more: SourceWho Gets to Define the Frontier?Author: Mark Daley Published: July 14, 2026Mark Daley argues that Demis Hassabis is right to call for a serious institution to verify frontier AI systems, but that the power to test models is also the power to govern them. Hassabis's proposed Frontier AI Standards Body would get privileged pre-release access to advanced models, testing compute, held-out evaluations, support from national labs and security agencies, third-party auditors, and eventually authority to block models from the American market or coordinate a slowdown.The killer detail is Daley's constitutional objection. He says the proposal sometimes looks like a scientific lab, a standards body, an industry regulator, a licensing authority, and an emergency security council at once. Combining those roles because each requires technical expertise would be like putting the central bank, auditor-general, and Supreme Court in one building and calling it efficient.The pull is standard-setting. Daley's concern is not that verification is unnecessary, but that whoever writes the tests, decides what passes, adjudicates disputes, and grants market access may end up defining the frontier itself.Read more: SourceGPT-Red: Unlocking Self-Improvement for RobustnessOpenAI | OpenAI | July 15, 2026OpenAI describes GPT-Red as an internal automated red-teaming model trained to find prompt-injection vulnerabilities at a scale human red teams cannot match. The post says AI systems increasingly encounter third-party data through browsers, connected apps, local files, and tools, creating opportunities for malicious instructions hidden in emails, webpages, tool responses, or code repositories. Human red-teaming remains part of OpenAI's safety process, but the company says it is time-intensive and cannot generate enough diverse adversarial examples for model training.The system is trained through self-play reinforcement learning, with GPT-Red rewarded for eliciting valid failures and defender models rewarded for resisting attacks while still completing their tasks. OpenAI says the training environments specify threat models across settings such as local files, webpage banners, email bodies, and tool outputs. The model is kept separate from deployed production models because it is intentionally trained with malicious capabilities.OpenAI reports that GPT-Red generalized beyond its training set, including an internal replication of the indirect prompt-injection arena from Dziemian et al. (2025), where it found successful attacks in 84% of scenarios compared with 13% for human red-teamers. The post also says GPT-Red transferred attacks from simulation to a live autonomous vending-machine agent, causing price changes and order cancellations, and outperformed a prompted GPT-5.5 baseline against a Codex CLI agent on held-out data-exfiltration tasks.The article's main robustness claim is that OpenAI has used GPT-Red and predecessor models in training since GPT-5.3, with later GPT releases becoming more resistant to prompt injections. It says GPT-5.6 Sol has six times fewer failures on OpenAI's hardest direct prompt-injection benchmark than the best production model from four months earlier, that a “Fake Chain-of-Thought” attack class fell from more than 95% success against GPT-5.1 to below 10% against GPT-5.6 Sol, and that GPT-5.6 Sol fails on only 0.05% of GPT-Red's direct prompt injections. OpenAI says general capabilities and targeted over-refusal evaluations were not harmed, and says a preprint with more details will follow.Read moreAnthropic, Blackstone bet the next trillion-dollar AI business is implementation, not just modelsRebecca Bellan | TechCrunch | July 15, 2026Rebecca Bellan reports that Ode with Anthropic is the $1.5 billion AI implementation company launched by Anthropic with Blackstone, Hellman & Friedman, Goldman Sachs, and other backers. The article says the venture reflects a growing belief among frontier AI labs that enterprise adoption requires more than better models: customers need engineers who can embed inside businesses and turn AI into working systems.Ode was originally conceived by Blackstone after it used both large consulting firms and smaller AI services boutiques across its portfolio companies. TechCrunch reports that Fractional AI, an AI engineering services startup, stood out and was acquired by the joint venture shortly after the venture was announced. Fractional now forms the foundation of Ode, which has 100 engineers and works closely with Anthropic's applied AI team to identify where the technology can affect specific businesses.Ode CEO Chris Taylor tells TechCrunch that the company could someday become a trillion-dollar business if it scales without losing quality. He says an ideal customer is one whose CEO treats the AI project as a top one or two priority, whether it is a major product feature or the reworking of a core business process. Ode will operate under a “Claude-first” principle, using Anthropic technology whenever possible, but the article says it can use rival AI products when needed.The article's central implementation argument comes from Ode chief technologist Eddie Siegel, who says model selection matters but is not where most of the engineering effort goes. He compares it to the choice of programming language in software: one ingredient in a system that still has to be engineered. Bellan writes that Ode's challenge is hiring and training enough elite generalist engineers, many of them former founders, while competing with OpenAI's The Deployment Company and consulting giants that have built their own forward-deployed engineering teams.Read moreVint Cerf is working on a plan to unleash AI agents on the open internetTim Fernholz | TechCrunch | July 15, 2026Tim Fernholz reports that Vint Cerf, after leaving Google, is advising Innovation Labs on an open architecture for identifying AI agents online. Innovation Labs is a subsidiary of Identity Digital, a DNS registry company, and its proposal is to use domain-name infrastructure as part of a system for agent identity, accountability, and auditability. The premise is that agents will need a way to identify themselves if they move beyond proprietary systems and begin interacting across the open internet.The concrete proposal is DNSid, a registry that links an AI agent to an existing internet domain and uses cryptographic proofs to log its registration over time. Innovation Labs says it is trialing the standard with unnamed hyperscalers and identity companies. Cerf frames the problem around authority and accountability: what authority an agent has, where that authority came from, who is accountable for the agent's behavior, how its identity is established, and why anyone should trust it.The article's caveat is that standards are still emerging and agents are more active than static domains. Cerf says the period may be both fascinating and exasperating because the functionality is powerful and interoperability is unresolved. He compares the adoption problem to TCP/IP: competing systems may not work together until users push for functional interoperation. He also says an agentic economy is not inevitable, but that people will try to build it because delegating work to agents will be easier.Read more: TechCrunchxai-org/grok-build, now open sourceAuthor: Simon Willison Published: July 15, 2026Simon Willison argues that xAI's decision to open-source Grok Build is best understood as a trust repair move after a severe privacy failure. The CLI had triggered backlash when users realized that running it in a directory could upload the entire directory to xAI's Google Cloud buckets, including one user's reported SSH keys, password manager database, documents, photos, and videos. xAI disabled the feature, said previously retained coding data would be deleted, and released the code under Apache 2.0.The killer detail is what the codebase reveals. Willison counts 844,530 lines of Rust, only about 3% of which appears vendored, and finds remnants of the upload system still present but disabled: gcs.rs contains Google Cloud upload code, while upload_session_state() now returns a hard-coded session_state_upload_unavailable error. He also notes copied or ported tool implementations from Codex and OpenCode, prompt files, and a terminal Mermaid renderer.The pull is that terminal coding agents are becoming large, intricate software systems in their own right. The privacy failure mattered because these tools operate inside the directories where developers keep their most sensitive work; the open-source release matters because trust now depends on inspecting what an agent can see, send, and do.Read more: SourceThe Pulse: What can we learn from Bun's rapid Rust rewrite with AI?Author: Gergely Orosz and Ivan Klaric Published: July 16, 2026Gergely Orosz and Ivan Klaric argue that Bun's AI-assisted rewrite from Zig to Rust is a practical sign of how software engineering changes when models can take on large, bounded migrations with clear feedback loops. The piece does not treat the rewrite as magic: Jarred Sumner first spent hours turning design judgment into a detailed porting guide, then used adversarial review, parallel agents, compiler errors, and tests to force the work toward correctness.The killer detail is the scale. Bun had 535,496 lines of Zig, 1,448 files, and 22 million monthly downloads, making a conventional rewrite a year-long freeze the team could not justify. Using Fable, Sumner split the work across 64 agents, produced about 6,500 commits, and got the migration done in 11 days at an estimated API cost of $165,000.The pull is economic, not theatrical. If a one- or two-year migration can become an 11-day project, AI coding is not just faster autocomplete; it changes which technical debts are worth paying down.Read more: SourceOrphan risks at the frontier of artificial intelligenceAuthor: Andrew Maynard Published: July 16, 2026Andrew Maynard argues that frontier AI safety frameworks are creating “orphan risks”: harms that companies can see, but do not formally own because they are hard to quantify, do not fit catastrophic-risk thresholds, or fall outside audit-friendly compliance machinery. His target is not existing frontier safety work, but the narrowing effect that happens when private companies decide which risks count as governable.The killer detail is Maynard's contrast between measurable model dangers and threats to value. He points to Meta's three-day Galactica collapse, OpenAI's 2023 board crisis, safety-team departures, and wellbeing litigation as examples of risks that damaged trust, culture, legitimacy, or users without fitting cleanly into conventional model-risk categories. The proposed fix is an orphan-risk register: a public record of risks a company considered and chose not to manage, with reasons.The pull is accountability. Frontier developers' internal scoping choices have become a de facto layer of public governance, so the question is no longer only which risks they manage, but which risks they quietly leave outside the frame.Read more: SourceThe Lab of the Future Should Feel Like a Data CenterLatent.Space with Andy Beam and Rafa Gomez-Bombarelli | Latent.Space | July 16, 2026Latent.Space interviews Lila Sciences CTO Andy Beam and chief science officer for physical sciences Rafa Gomez-Bombarelli about the company's attempt to build an AI-run science factory. The post describes Lila's thesis as treating the lab itself as an “infinite token generator”: if internet data drove the first era of AI scaling, experimentally verified scientific data may be the next scarce training source. Lila is trying to produce that data with robotics, lab instruments, orchestration software, and AI models wired into the wet lab.The central analogy is the lab as data center. Instruments are nodes on a graph, a magnetically levitating transport layer moves materials between them, and experiment scheduling looks like a compute queue. Beam says Lila is not simply an automation company, because the point is not just throughput; it is flexibility, generalization, and experiment capture. The post says Lila has built more than 10 trillion experimentally validated “scientific reasoning tokens,” not internet text or biological sequences.The interview ranges across biology, chemistry, drug discovery, materials science, and the limits of automation. It notes that Lila rebuilt one gas-sorption measurement to run roughly 2,500 times faster, claims its general models can transfer priors from small-molecule chemistry to metal-organic frameworks for carbon capture, and describes model-suggested platinum-group-free electrocatalysts that moved from looking boring or wrong to becoming strong performers. The caveats are physical: experiments have runtimes, biology cannot always be accelerated, chains of thought can be unreliable narrators, and reward hacking becomes more dangerous when a model controls a real lab.Read more: Latent.SpaceWhy AMI Labs' Alexandre LeBrun won't call his AI “AGI” or “superintelligence”Kate Park | TechCrunch | July 16, 2026Kate Park interviews AMI Labs CEO Alexandre LeBrun about why Yann LeCun's world-model startup avoids the language of “AGI” and “superintelligence.” LeBrun says the terms are not useful because they lack stable definitions: “We never used the word AGI. And I just noticed that nobody is using it anymore; they switched to superintelligence.” His argument is that the practical frontier is not a label, but whether AI systems can understand and predict real-world states.The article explains the world-model thesis by contrasting language prediction with physical-state prediction. A large language model predicts the next word; a world model predicts the next state, such as what happens when a glass tips over. LeBrun says LLMs remain complementary and efficient for language, but the physical world is where current AI is weak. Robotics is the clearest case: hardware has advanced quickly, but robots are still brittle outside controlled routines because they lack context and situational understanding.AMI is still pre-product, but TechCrunch reports that LeBrun was in Seoul looking for industrial partners, researchers, and global companies. He says world models cannot be built entirely inside a lab because they need access to real environments. That is why South Korea appeals to AMI: robotics, semiconductors, manufacturing, and fast adoption create the kind of hardware-heavy context that software-only AI has barely touched.Read more: TechCrunchKimi K3 Tech Blog: Open Frontier IntelligenceKimi | Kimi | July 16, 2026Kimi introduces Kimi K3 as an open 3T-class frontier model aimed at coding, knowledge work, reasoning, multimodality, and long-context agentic use. The source describes the model as a 2.8T-parameter system built on Kimi Delta Attention and Attention Residuals, with native multimodality and a 1M-token context window. It says Moonshot AI plans to release model weights by July 27.The post presents K3 through benchmark and use-case sections rather than as a general product announcement. It reports results across coding, productivity, agentic, and multimodal evaluations, including DeepSWE, Terminal-Bench 2.1, Program Bench, SWE Marathon, FrontierSWE, PostTrain Bench, OfficeQA Pro, SpreadsheetBench 2, MCP Atlas, AutomationBench, BrowseComp, GDPval-AA v2, AA-Briefcase, MMMU-Pro, MathVision, BabyVision, OmniDocBench, and PerceptionBench. The source says all reported K3 results use maximum reasoning effort with temperature and top-p set to 1.0, and that different benchmark comparisons use KimiCode, Claude Code, or Codex harnesses depending on the test.Kimi's caveats are unusually concrete. The limitations section says K3 was trained in preserved thinking-history mode, so quality may become unstable if an agent harness does not pass historical thinking content correctly or if an ongoing session switches to K3 midstream. It also says K3's emphasis on long-horizon tasks can make it excessively proactive when it encounters minor issues or ambiguous intent, and recommends imposing explicit behavioral constraints for applications that require strict boundaries. The post adds that K3 remains behind Claude Fable 5 and GPT 5.6 Sol in user experience despite being competitive overall.Read moreVenture CapitalThree Years InAuthor: Tomasz Tunguz Published: July 10, 2026Tomasz Tunguz marks Theory Ventures' third anniversary by arguing that AI's central market effect is time compression. In his telling, model release cycles, company revenue milestones, enterprise adoption, and venture categories have all accelerated. Seed, Series A, and Series B still exist as financing labels, but they no longer cleanly describe company maturity when some seed rounds are larger than IPOs and the best AI companies can mature much earlier than prior software companies.The killer detail is the shift from models to inference. Tunguz argues that inference has become the dominant AI market because workloads and buyer preferences are fragmenting: video, batch, local, agentic, and real-time tasks each create different infrastructure needs. He compares this to databases splitting into OLTP, OLAP, vector, and streaming categories, with AI pushing the same specialization into inference infrastructure.The pull is that Theory sees the AI-native venture firm as part of the same pattern. The firm says it has analyzed twice as many investment opportunities with three investors working alongside a nine-person intelligence organization, using agents and research systems to map markets, source companies, and support diligence. The piece is both a market map and a statement about how venture itself is being rebuilt by the technology it funds.Read more: LinkedInVenture Has Rarely Looked More BifurcatedAuthor: Beezer Clarkson Published: July 14, 2026Beezer Clarkson points to PitchBook's Q2 report as evidence that the U.S. venture market has split into two very different realities. AI now accounts for more than 60 percent of all U.S. venture deal value, meaning the headline market can look active and well-funded even while much of the non-AI market is dealing with a much colder liquidity and fundraising environment.The thread uses that split as the setup for Clarkson's latest Origins episode with Alec Litowitz, founder of Magnetar and QStar Capital and one of Citadel's original founding partners. Clarkson says markets like this are periods of genuine uncertainty, not merely ordinary risk, which is why Litowitz's Adaptability Quotient framework is relevant.The embedded clip makes the liquidity point concrete. Litowitz says DPI is “the resolution of uncertainty” because it converts an uncertain investment into actual cash returned to LPs. In his framing, a realized dollar is a real mark, while TVPI remains uncertain until it is realized.The killer detail is the distinction between pricing risk and resolving uncertainty. Litowitz's perspective matters because QStar is a SpaceX investor and Clarkson says the conversation happened just before one of venture's most consequential IPOs. The episode's stated questions are why venture remains a way to gain exposure to innovation, how AI is changing what is investable, why liquidity is ultimately a function of time, and why uncertainty requires a different decision framework from risk.Read more: XThe Best Angel Investors in the US: Who Backs the Most Unicorns, and Who's Active NowAuthor: Ilya Strebulaev Published: July 10, 2026Ilya Strebulaev ranks angels, angel groups, accelerators, and incubators by lifetime U.S. unicorn investments, counting checks written before a company reached unicorn status. The top of the combined list is dominated by organizations: Y Combinator leads with 113 unicorn investments, followed by Plug and Play at 52 and 500 Global at 41. Sand Hill Angels is the highest-ranked angel group at 31.The killer detail is how quickly the list changes below the biggest accelerators. Strebulaev says 271 of the 304 investors in the Top 200 are individuals, or 89%. In the top 100, individuals are 91%. That makes the market underneath the large accelerator counts look much more personal: mostly operators and individual angels writing early checks from their own networks.The pull is the ranking's own caveat. Strebulaev writes that every lifetime leaderboard has a blind spot because many of the unicorns behind those totals were founded a decade or more ago, and some angels have since moved into formal funds, slowed down, or stopped investing. His post therefore separates lifetime performance from recent cohorts, including companies founded in 2015 or later and 2020 or later. For founders or allocators making current decisions, that distinction matters: a career record and a current record are not the same measure.Read more: Ilya StrebulaevAre Prediction Markets Doomed to Fail?Author: Contrary Published: July 16, 2026Contrary argues that prediction markets' current boom depends on whether platforms can prove they are more than regulated gambling with exchange-style branding. Kalshi and Polymarket have reached mass cultural, investor, and regulatory attention, but the article says the underlying idea is old: academic markets, corporate forecasting tools, Intrade, PredictIt, and other predecessors all struggled with the same linked problems of liquidity, legality, and user appeal.The killer detail is the comparison with sportsbooks. Prediction markets present themselves as peer-to-peer, transparent, and non-house-based, but sports contracts reportedly account for more than 90 percent of Kalshi trading, and the article says the platforms keep a much thinner slice of volume than sportsbooks. A market can therefore show sports-betting-scale handle while generating far less revenue.The pull is that the product's hardest problem may be distribution of wins. If a small group of sharp traders captures most profits while casual users lose interest, prediction markets may become valuable data feeds and professional tools before they become durable consumer networks.Read more: SourceRegulationExclusive: The Next Frontier of the Deportation Wars: College CampusesAuthor: Adrian Carrasquillo Published: July 11, 2026Adrian Carrasquillo reports that college campuses are becoming a new front in the fight over immigration enforcement because automatic license plate readers can turn ordinary campus security infrastructure into searchable location data. His thesis is that Flock Safety's camera network, even without direct ICE or DHS contracts, can feed deportation enforcement through local police partnerships and data-sharing practices.The killer detail is the campaign target. The Emergency Campaign to Support Higher Education, working with Schools Drop ICE, is focusing on 75 colleges and universities publicly identified as having Flock contracts. Flock says it has no ICE or DHS contracts, but activists argue the risk comes through local agencies that coordinate with federal authorities and run searches on their behalf.The pull is broader than immigration. Carrasquillo notes that license plate readers have already been abused by officers for stalking, and that Flock's AI search features can identify more than plates, including bumper stickers. A campus safety tool can become a political surveillance system when the data layer is searchable.Read more: The BulwarkThe Supreme Court Broke Independent Agencies. Here's a Way to Slow the Damage.Author: Todd Phillips Published: July 12, 2026Todd Phillips argues that the Supreme Court's decision in Trump v. Slaughter damaged independent agencies by ending for-cause removal protections, but did not leave Congress powerless. The ruling weakens the old model in which commissioners at bodies such as the FTC, NLRB, CPSC, SEC, and CFTC could be insulated from dismissal over policy disagreements. Phillips says the next fight is whether presidents can turn nominally bipartisan commissions into one-party instruments.The killer detail is the procedural fix: quorum rules. Phillips proposes that Congress require bipartisan slates of commissioners to be seated before independent agencies can act. A president

This week's video transcript summary is here. You can click on any bulleted section to see the actual transcript. Thanks to Granola for its software.EditorialIntelligence: Who Owns it?This week the word “AI” feels too small.AI is a technology. Intelligence is its product. And if intelligence is the product, the question is no longer just: Which model is best? Who has the cheapest tokens? Who owns the weights? Who controls the data center? Those are important questions, but they are lower in the stack.The bigger question is simpler and more political:Who owns intelligence?That sounds abstract until you make it concrete. Intelligence is becoming something companies can capture, package, serve, meter, route, improve, and sell.It can write code, answer questions, design molecules, automate offices, run agents, draft legal work, advise scientists, serve consumers, and reshape workflows. It is not merely software. It is a general-purpose capability. And all humans could benefit from more of it.General-purpose capabilities have a habit of becoming public questions. But the default answer, that public good is best delivered by government, is the wrong answer in this context.The Product Is IntelligenceWe should stop talking about AI as a feature and start talking about intelligence as the universal thing that is delivered as an input to the world.Water is an input. Electricity is an input. Literacy is an input. Connectivity is an input. Once a society depends on them, access stops being optional. Nobody needs government to build every well, power plant, school, or network. But everybody understands that a civilization cannot be organized around less than universal and reliable access to foundational inputs.Intelligence is reaching that level of importance now that we all know it is real.Government should not own it, operate it, or develop it. Quite the opposite. Companies are the right actors to build fast, compete hard, improve models, serve customers, and discover the real use cases. Self-interest is a useful framing here. Markets are good at finding demand, reducing costs, and turning invention into services people actually use.Companies are the right operators, developers, and owners. But that does not settle the real question of who owns the benefits. That is an economic question.If intelligence becomes metered infrastructure, what happens to the value it creates?The Ownership StackThis week's articles keep circling the same issue from different directions but in the nature of ‘circling' never quite nail it.Jamin Ball's “Own Your Weights” starts with the enterprise version of the question. Owning a model file is not enough. The durable asset is the loop: the data flywheel, the evaluations, the reinforcement system, the workflow learning, and the operating context that lets capability compound.Benedict Evans' “Ways to Think About Token Pricing” adds the market layer. Tokens may become essential, abundant, and cheap, like mobile data. But being essential does not guarantee that the token layer captures the value. The money may move up the stack to whoever owns the workflow, the customer, the distribution, or the application.Alex Karp's fight with the labs, reported in “Alex Karp Is Saying What Every Angry CEO Is Thinking About AI”, is the same argument in sharper enterprise language. Companies are afraid that model providers will not just sell intelligence, but learn from customer workflows and then move into the markets where those workflows create value. The “All-in” group are echoing Karp's view.And “What Is Loop Engineering, and Who Owns It?” names the new contested terrain. The loop is where intelligence meets the world. Whoever owns the loop owns the learning. Whoever owns the learning owns the compounding asset.That is why “who owns intelligence?” is not a slogan. It is the question under the model layer, the application layer, the enterprise layer, and the economic layer.Because intelligence is the product, the tools creating it are fragmented and competitive. So there is no logic in trying to discuss this at the level of a single company or set of tools and models.The Old Promise Was That Commerce Would Tame PowerThe essays this week give the historical backdrop.Deirdre McCloskey, in “What Really Caused the Industrial Revolution”, argues that modern growth came not simply from capital accumulation, but from a change in permission: ordinary people were allowed to innovate, trade, build, and be honored for it.That matters because intelligence could be another expansion of permission. It could make more people capable of building, learning, creating, coding, researching, translating, selling, and coordinating. It could lower the cost of competence.But only if access is broad.Paul Krugman's “AI in an Age of Oligarchy” warns that the same technology lands differently in different political economies. A new general-purpose technology entering a broad, open, upwardly mobile society is one thing. The same technology entering a concentrated economy, with extreme wealth and weak counterweights, is another.Tim O'Reilly's Economist essay, “Elon Musk is building a form of capitalism that Adam Smith would hate”, makes the governance point more directly. The old liberal hope was that commerce would tame arbitrary power. Markets, boards, courts, shareholders, disclosure, and competition would discipline the prince.But what if the prince uses markets to escape discipline?Henry Farrell's “political economy of billionaire derangement” pushes the same point. Founder culture, monopoly ambition, peer rivalry, weak correction mechanisms, and vast private control can amplify appetites rather than restrain them.The danger with intelligence is not that companies build it. They should. Companies build it, meter it, use public tolerance and public infrastructure to scale it, learn from everyone who uses it. All of those things are inevitable and healthy. Market forces will sort out winners from losers. The real danger is that the winners treat all of the surplus produced as purely private.Metered Intelligence Creates SurplusIf metering is not the problem, what is?The problem is pretending that metered intelligence creates value only for the metering entity. Metering water is only tolerated as a public good. If the public were blackmailed by a private water company with the threat of no water we would all rebel.Once we understand that the product of AI is intelligence we can see that every time intelligence is used, there is the immediate transaction: the user pays, the provider serves.But there is also system value. Usage creates signals. Workflows reveal patterns. Prompts, corrections, failures, preferences, integrations, edge cases, and business processes all help define where intelligence is useful and how it should improve. Intelligence breeds intelligence.Even when customer data is contractually protected, the market learns. The platform learns where demand is. The product team learns which workflows matter. The ecosystem learns which jobs are vulnerable, which tasks are automatable, and which parts of the economy can be reorganized around machine intelligence.So the surplus is not born in a vacuum.It rests on public science, public education, public data exhaust, public law, public infrastructure, public energy systems, public tolerance for data centers, and billions of human interactions. It is served by companies, but it is not made only by companies.This is why “Americans Deserve a Dividend From AI Companies' Riches” belongs at the center of this week's issue. The detail can be debated. The principle is harder to dismiss. If intelligence becomes a new foundational resource, then some part of the wealth it creates should flow back to the people whose society makes it possible. Intelligence did not suddenly appear. AI is built on the entire history of human intelligence. It benefits from it and at the same time evolves it.Not Nationalization. A Human Wealth Fund.If intelligence belongs to everybody, some conclude that government ownership of intelligence is the right outcome.Governments are not well suited to build, operate, or improve intelligence. They will move too slowly, regulate too early, politicize the wrong things, and confuse economic participation with operational control.Andrew McAfee's “Why I Didn't Sign the AI Open Letter” is useful here. His objection is not that the technology is unimportant. It is that steering too hard before we understand the shape of the change can become its own failure mode. Marc Andreessen's satire of AI regulation is less policy than temperament, but it captures a real Silicon Valley fear: that regulation can become permission, capture, and incumbency before it becomes wisdom.That fear should be taken seriously.But it does not answer the economic question. It answers only the operational one.How can the economic benefits of intelligence be distributed? The better answer is a sovereign human wealth fund.Call it a sovereign wealth fund if you must, but the phrase is too national. Intelligence will not respect borders. The leading companies are global. The models, chips, data centers, agents, platforms, and workflows will be transnational from the beginning. If the value created by intelligence is global, then the mechanism for sharing some of that value should begin with the companies global enough to capture it. The nice thing about xAI, OpenAI, and Anthropic is that they are supranational.These companies own and operate intelligence. Let them compete. Let them profit. Let them keep the incentives that make the system improve. But if intelligence is the new water, the wealth it creates cannot belong only to the companies that meter it. And they, themselves, have the power to fix it, even more than governments.Access will become a Human Right; Ownership Is the Economic DesignThis is where human rights come in. There is no right to access an AI model, yet. But there will soon be a need to change that.Not as a claim that every person is entitled to every frontier model at every moment for free. That is not serious. Capacity has costs. Models have costs. Inference has costs. Data centers have costs. Although those costs will decline over time, possibly quite quickly as self-learning models address costs.The claim is more basic: in a world where intelligence becomes a primary input into education, work, health, science, citizenship, creativity, and economic agency, baseline access to intelligence starts to look like a civic requirement.That could mean public access layers. It could mean education credits. It could mean open models. It could mean AI dividends. It could mean public-interest compute. It could mean taxes on rents. It could mean a company-initiated human wealth fund that returns some of the upside to society without handing the operating system to the state. The latter could couple wealth growth with universal distribution of ownership.The exact mechanism matters. But the distinction matters more.Government should not own intelligence. It should be universally available. And people should have a claim on the wealth intelligence creates.The Frontier Is Also PhysicalThe abstraction is not weightless.“The Fight Against AI Data Centers Is Just Beginning”, “New York becomes the first state to enact a data center moratorium”, Reuters on pollution from Musk's xAI power project, and DataGravity's “Who Captures Value in AI Infrastructure?” all say the same thing from the ground up.Intelligence uses land. It uses power. It uses water. It uses chips. It uses grid capacity. It uses neighborhoods. It uses public patience.That makes the value question unavoidable. A society can accept the buildout if the buildout is legible as shared progress. It will resist it if the costs are local, the profits are private, and the benefits feel enclosed.Who Owns the “Loop”?The week ends where it began.“Anthropic and Blackstone” are betting that implementation is the next trillion-dollar business. “Vint Cerf” is working on identity for agents on the open internet. “GPT-Red” points toward systems that improve their own robustness. “Kimi K3” adds another open frontier model to the global mix.The model race continues. The deployment race is accelerating. The governance race is behind.My view is this:The central product of this era is intelligence. Companies have figured out how to capture it, package it, serve it, and meter it. That is good. It should stay in the hands of builders who have the incentive to make it better.But intelligence is too foundational to become just another private toll booth. A significant part of it will turn out to be free to users.As intelligence becomes a general-purpose resource, then access to it becomes a human-capability question, and the surplus from it becomes an economic-justice question. Not because government should run it. Because government should not run it. The operating layer belongs with companies. The wealth question belongs with everyone. But companies are best placed to turn that into a process of distribution.The question is not whether companies should build intelligence. They should.The question is whether humanity gets a stake in the wealth created by the thing that may soon become its most important shared input.Contents* Essays* Deirdre McCloskey on What Really Caused the Industrial Revolution* AI in an Age of Oligarchy* Elon Musk is building a form of capitalism that Adam Smith would hate* Murky Mirror: Truth and Consequences* The political economy of billionaire derangement* Is there any “oligarchy” to fight?* AI* Nearly 200 Economists and Tech Leaders Warn of A.I. Threats* Why I Didn't Sign the AI Open Letter* Own Your Weights* Ways to Think About Token Pricing* Alex Karp Is Saying What Every Angry CEO Is Thinking About AI* The AI Agents Are Coming for Microsoft Office* What Is Loop Engineering, and Who Owns It?* The Fight Against AI Data Centers Is Just Beginning* 6 months to live for open models* Americans Deserve a Dividend From AI Companies' Riches* Who Gets to Define the Frontier?* GPT-Red: Unlocking Self-Improvement for Robustness* Anthropic, Blackstone bet the next trillion-dollar AI business is implementation, not just models* Vint Cerf is working on a plan to unleash AI agents on the open internet* xai-org/grok-build, now open source* The Pulse: What can we learn from Bun's rapid Rust rewrite with AI?* Orphan risks at the frontier of artificial intelligence* The Lab of the Future Should Feel Like a Data Center* Why AMI Labs' Alexandre LeBrun won't call his AI “AGI” or “superintelligence”* Kimi K3 Tech Blog: Open Frontier Intelligence* Venture Capital* Three Years In* Venture Has Rarely Looked More Bifurcated* The Best Angel Investors in the US: Who Backs the Most Unicorns, and Who's Active Now* Are Prediction Markets Doomed to Fail?* Regulation* Exclusive: The Next Frontier of the Deportation Wars: College Campuses* The Supreme Court Broke Independent Agencies. Here's a Way to Slow the Damage.* India's crackdown on a new WhatsApp feature risks setting a global precedent* Let's build a children's public internet* Computer cops* Google is better at playing the AI regulations game* Infrastructure* Who Captures Value in AI Infrastructure?* New York becomes the first state to enact a data center moratorium* Pollution from Musk's unpermitted xAI power project hits hardest in Black communities* Interview of the Week* The End of the End of Geography* Startup of the Week* Radical AI's Joseph Krause: The Scientist Building The “Waymo” Lab For New Materials* Post of the Week* Marc Andreessen on AI RegulationEssaysDeirdre McCloskey on What Really Caused the Industrial RevolutionYascha Mounk and Deirdre McCloskey | Persuasion | July 11, 2026Yascha Mounk interviews Deirdre McCloskey about her argument that the modern world's economic liftoff came less from capital accumulation than from a change in ideas. McCloskey says both left and right versions of the conventional story rely too heavily on investment: the left stresses exploitation and surplus value, while the right stresses virtuous saving by capitalists. Her objection is historical and economic. Human beings had always invested, from irrigation works and Roman roads to seed grain, and simple accumulation quickly runs into diminishing returns.McCloskey's alternative is that northwestern Europe, first Holland, then Britain and Scotland, and then the North American colonies, developed a liberal ideology that changed who was allowed to innovate and be honored for it. The conversation links that shift to the erosion of inherited hierarchy, the spread of dignity for ordinary commercial life, and a moral vocabulary in which liberalism is not merely procedural but connected to virtues and values. The point is not that machines, coal, trade, and institutions did not matter, but that they do not explain the scale and timing of modern enrichment without a cultural permission structure for innovation.The interview also turns to the contemporary defense of liberalism. Mounk frames the series around the worry that liberalism is often treated as too thin to command allegiance, while its opponents speak more directly to moral passions. McCloskey's case is that liberal societies became rich because they dignified experimentation and ordinary enterprise, and that liberals need to recover the moral language behind that claim.Read moreAI in an Age of OligarchyPaul Krugman | Paul Krugman | July 12, 2026Paul Krugman frames AI as a major technological shock arriving inside an already unequal political economy. The post says AI's economic and social effects may take years to understand, but argues that the setting matters now: America has much greater wealth concentration and political inequality than it did in the 1950s and 1960s, when progressive taxation, stronger regulation, and more active antitrust might have contained some of the destructive effects of a new technology.Krugman's opening claim is that the same technology would likely have different consequences in a more level society. In today's United States, he writes, extreme wealth is both a cause and effect of policies that favor a small elite, including low effective taxes on capital and high incomes, weak enforcement of worker protections and antitrust, and cuts to programs that benefit ordinary Americans.The article is explicitly more about oligarchy than AI. Krugman says the paid sections document the rise of the “.0002%,” the economics and politics of extreme wealth, how oligarchy will shape AI's impact, and possible policy paths. His caveat is that AI itself may still produce a pushback against oligarchy, but absent that, he expects the pre-existing concentration of wealth and power to magnify AI's downsides.Read moreElon Musk is building a form of capitalism that Adam Smith would hateAuthor: Tim O'Reilly Published: July 12, 2026Tim O'Reilly argues that Elon Musk is using the legal forms of shareholder capitalism to escape the restraints that shareholder capitalism was supposed to impose. The article begins with SpaceX's public-market structure: ordinary public investors get little meaningful governance power, Musk keeps roughly 85 percent of the votes through super-voting shares, buyers waive jury trials and class actions, the company qualifies as controlled, and removal of Musk depends on the share class he controls. In O'Reilly's framing, that is not ordinary founder control; it is a design for being answerable to no one, possibly beyond Musk's own lifetime.The killer detail is the article's turn through Albert Hirschman, Montesquieu, James Steuart, Adam Smith, and Keynes. Older defenses of commerce held that markets would tame princely passions because the self-interest of merchants was safer than arbitrary rule. O'Reilly says Musk reverses that hope. The market discipline that was supposed to cage the prince has become the lever by which the prince raises capital, removes feedback loops, and carries private power into politics, government, Mars, robots, AI, or whatever ambition comes next.The pull is the link to AI governance. O'Reilly says corporations are already a kind of artificial intelligence: narrow-input systems that act at a scale no individual human can match. Their partial controls include independent boards, shareholder votes, courts, disclosure, regulators, public pressure, and activism. If the leaders building frontier AI strip those alignment mechanisms out of their own companies, the governance of the company becomes a preview of the governance of the machine.Read more: The EconomistMurky Mirror: Truth and ConsequencesAuthor: Esther Dyson Published: July 14, 2026Esther Dyson argues that today's institutional crisis is better viewed through the 14th century than through recent political history. Using Barbara Tuchman's A Distant Mirror as her frame, she compares a world of famine, plague, church schism, feudal predation, and purposeless war with a present in which institutions again feel brittle, incentives are badly aligned, and power is shifting into forms that are hard to govern.The killer detail is the historical analogy between land, corporations, and AI. Dyson moves from nobles who controlled serfs and territory, to the East India Company as a quasi-sovereign business, to today's AI systems and data centers as a possible new sector that crosses and weakens both nation-states and companies. The question is whether AI becomes a new kind of private land, owned by a new nobility, or an open prairie that many people can cultivate.The pull is human attention. Dyson says the central question is not what AI will do to people, but how people will react to it: whether they can value love, kindness, embodied attention, and artisanal human presence in a world of seductive artificial offerings.Read more: SourceThe political economy of billionaire derangementAuthor: Henry Farrell Published: July 15, 2026Henry Farrell argues that the visible political radicalization of some Silicon Valley billionaires is not a random personality quirk, but a product of the political economy that made them. Starting from Tyler Cowen's dismissal of “billionaire derangement syndrome” and Tim O'Reilly's warning that Elon Musk is using shareholder capitalism to escape shareholder restraint, Farrell flips the phrase: the question is why billionaires themselves can become deranged.The killer detail is Farrell's use of Peter Thiel as both theorist and example. Thiel's Stanford lectures described startups as monarchies and founders as figures vested with unusual power, while Silicon Valley culture rewarded eccentricity, monopoly ambition, and founder exceptionalism. Farrell says those ideas combined with dense founder-investor networks, peer rivalry, and weak correction mechanisms to amplify rather than discipline princely appetites.The pull is the ideological problem for classical liberals who once saw tech wealth as an ally of markets and freedom. Farrell says commerce did not tame the passions; in parts of Silicon Valley, the passions have begun to devour markets, institutions, and the liberal story that justified them.Read more: SourceIs there any “oligarchy” to fight?Matthew Yglesias | Slow Boring | July 16, 2026Matthew Yglesias argues that “oligarchy” is a rhetorically powerful but analytically loose way to describe American politics. The post begins from Bernie Sanders' “Fighting Oligarchy” tour, Amy Klobuchar's warning about a MAGA “broligarchy,” and the long afterlife of the Martin Gilens and Benjamin Page paper that was widely summarized as showing that only the rich matter in policy outcomes. Yglesias says the evidence supports a weaker claim: affluent people and business leaders have unusual access and influence, but that is not the same as rule by a small cabal.His main distinction is between inequality and oligarchy. The Gilens-Page measure treated the top 10 percent of households as “the wealthy,” and later critics found that rich and middle-class preferences usually align; in the cases where they differ, the rich win about 53 percent of the time. Yglesias also says business executives get special access partly because their decisions are materially important to communities, jobs, investment, and local tax bases, not only because of campaign donations.The post preserves Jerusalem Demsas' counterpoint from their podcast discussion: privileged donor and business access can still violate democratic equality even if the oligarchy label overstates the structure of power. Yglesias' narrower claim is that Democrats should be precise about what problem they are trying to solve, because donor influence can also push the party left on climate and cultural issues in ways that alienate many voters.Read more: Slow BoringAINearly 200 Economists and Tech Leaders Warn of A.I. ThreatsAuthor: Ben Casselman Published: July 13, 2026Ben Casselman reports on “We Must Act Now,” a statement warning that artificial intelligence could transform the economy faster than any previous technology and that policymakers need to move faster to understand and respond. The statement says AI may become radically more powerful over the next 10 years, bringing risks such as large-scale job displacement as well as opportunities such as higher living standards. Nearly 200 people signed, including 15 Nobel laureates, the chief economists of OpenAI and Anthropic, Anthropic co-founder Jack Clark, former Google CEO Eric Schmidt, and venture capitalist Vinod Khosla.The killer detail is who joined the warning. Casselman notes that the signatories include economists who have historically been skeptical of Silicon Valley's most dramatic AI job-loss forecasts, including Daron Acemoglu and Simon Johnson, the MIT professors who won the 2024 Nobel in economics. Erik Brynjolfsson, who helped organize the statement, says there has been a notable change in the profession and that economists and policymakers are not ready for the “tsunami” he sees coming.The pull is the measurement problem. The statement does not offer a specific policy menu, but calls for economists, policymakers, and industry leaders to understand the economics of transformative AI and steer it toward complementing humans. Brynjolfsson says one high priority is better data on AI's spread and impact, because current measures tell conflicting stories about job losses and which workers are most exposed.Read more: The New York TimesWhy I Didn't Sign the AI Open LetterAuthor: Andrew McAfee Published: July 13, 2026Andrew McAfee explains why he did not sign “We Must Act Now,” the AI economy statement organized in part by his longtime collaborator Erik Brynjolfsson. McAfee agrees with the letter's starting point that AI is likely to become radically more powerful over the next decade and that it is a general-purpose technology. His objection is not to urgency or to studying AI's economic effects, but to the framing of risk, displacement, and institutional steering as the first move.The killer detail is McAfee's line edit. He says the original letter comes close, then “bounces off the crossbar” by calling for incentives, guardrails, and institutions to steer AI before we know enough about its actual impacts. He points to mixed current evidence: labor-market canaries, but also rising software job postings, low unemployment for younger workers, rising real median income, and claims that AI-adopting companies are adding workers faster than low-adopting peers. His worry is that the letter leans toward upstream governance and dirigisme when the evidence may call for capability building instead.The pull is his replacement statement. McAfee keeps the three-paragraph structure but changes the emphasis: AI is likely to become radically more powerful; like earlier world-changing technologies it will raise living standards while also bringing harms and shocks; and economists, policymakers, and technology leaders should build the capabilities to respond quickly and effectively. It is a concise version of the permissionless-innovation case inside the AI policy debate.Read more: The Geek WayOwn Your WeightsAuthor: Jamin Ball Published: July 10, 2026Jamin Ball argues that the enterprise AI debate about whether companies should “own their weights” or rent models from frontier labs is asking too narrow a question. A model weight file gives a company control over a point-in-time artifact, but not durable control over the capability stack. In his framing, the weight file is a melting ice cube: it does not get worse in absolute terms, but it falls behind as frontier systems improve and enterprise needs change.The killer detail is what Ball says companies really need to own: the data flywheel, reinforcement learning infrastructure, and evaluation harness that produce and improve the model. Simply deploying an open-weights model and declaring sovereignty leaves the enterprise with yesterday's capability and no way to compound workflow-specific learning.The pull is that enterprise AI control may be less about model ownership than operating ownership. The defensible layer is the system that turns company data, edge cases, business definitions, and evaluations into continuously improving performance.Read more: Clouded JudgementWays to Think About Token PricingAuthor: Benedict Evans Published: July 9, 2026Benedict Evans argues that today's AI token prices are a temporary signal from a supply-constrained market, not a reliable guide to long-term value capture. The open question is whether foundation models keep durable pricing power or become commodity infrastructure as data-center capacity, inference efficiency, and model competition all shift. His current read is that the visible market dynamics point toward commoditization unless something materially changes.The killer detail is the mobile data analogy. Evans says cellular networks became a trillion-dollar industry with hundreds of billions in capex after data usage exploded, but carrier stocks went nowhere because value moved up the stack. Tokens may behave similarly: an opaque unit tied to marginal cost, sold through bundles, essential to everything, yet not necessarily where profits accrue.The pull is uncertainty, not prediction. Evans lists paths to model dominance, including network effects, less competition, regulation, export controls, or a lab pulling ahead on execution, but says each requires a new fact not yet visible. Without that change, the model layer looks more like infrastructure beneath the products that capture value.Read more: SourceAlex Karp Is Saying What Every Angry CEO Is Thinking About AIAuthor: Tim Higgins Published: July 11, 2026Tim Higgins reports that Palantir CEO Alex Karp has turned corporate frustration with AI labs into a public argument about enterprise control. Palantir released a white paper, “Institutional Sovereignty in the Age of AI,” laying out steps companies and governments can take to protect themselves from OpenAI, Anthropic, and other foundation-model providers. The article links that paper to Karp's CNBC appearance, where he said “something has gone completely wrong” in the relationship between AI labs and customers and argued that enterprises are paying for tokens that create little value.The killer detail is the value-capture question. Higgins writes that Karp's critique has resonated because AI labs may gain power and insight from customer data, workflows, and decision-making, even when enterprise policies say customer data are not used for training. David Sacks amplified the concern by arguing that Anthropic is moving from the model layer into vertical applications such as science, security, legal, and coding, raising the fear that model providers will watch where value is being created and then move into those markets directly.The pull is that Karp is not alone, even if his style is unusually combative. Higgins notes that Satya Nadella has also warned that companies need to retain the learnings created when they use AI models, while Mark Zuckerberg has framed Meta's new model release partly around lower-cost frontier intelligence. The article presents Karp's campaign as one sign that established technology companies and large enterprises are trying to define where they fit when AI labs become central infrastructure, application competitors, and potential IPO giants at the same time.Read more: The Wall Street JournalThe AI Agents Are Coming for Microsoft OfficeAlex Wilhelm | Cautious Optimism | July 11, 2026Alex Wilhelm argues that one of the week's quieter AI questions is whether the productivity market that Microsoft successfully moved into subscription software is now being attacked by agentic tools. The piece begins with the infrastructure backdrop: SK Hynix raised $26.5 billion in a U.S. listing while building U.S. HBM and advanced-packaging capacity, and memory, chip, and foundry companies are now priced for sustained AI demand.Wilhelm then says the AI conversation has shifted quickly from raw capability to cost per task. He cites new model releases and vendor language emphasizing cheaper agentic and coding models, faster performance, and lower dollars per task. That matters because lower costs make it more plausible for AI systems to take on routine knowledge work at scale rather than remain a premium coding assistant market.The core of the article is Microsoft Office. Wilhelm notes that Microsoft turned Office from a one-time purchase into Microsoft 365, a large recurring revenue business with tens of millions of subscribers and a major productivity segment. Now, he says, late-stage unicorns and AI labs are pushing into the same territory: Anthropic's Cowork was reportedly used mostly outside software development, OpenAI merged ChatGPT and Codex into a tool for creating sheets, slides, docs, web apps, and long-running work, and other companies are building agentic coworkers that connect business data to documents, workflows, schedules, alerts, and apps.The article's caveat is that Microsoft has survived major platform shifts before. The argument is not that Office disappears quickly, but that the definition of office software is broadening from documents and spreadsheets into AI systems that can create, monitor, and act across workplace data.Read moreWhat Is Loop Engineering, and Who Owns It?Author: Nilesh Barla Published: July 11, 2026Nilesh Barla argues that “loop engineering” is becoming a distinct discipline because production AI agents now fail less at single prompts than at runtime: when to stop, what state to preserve, and how to recover after a bad step. Prompt engineering shapes one model call, and context engineering shapes what the model sees, but loop engineering shapes what a sequence of calls actually does.The killer detail is the three-primitives frame. Barla says a real agent loop needs halt conditions, state carryover, and recovery paths, then maps teams across five maturity levels. At the lowest level, an agent is just a model call in a for-loop with a step cap and raw history; by the higher levels, the system has structured state, explicit planning, replay, evaluation, and self-repair.The pull is organizational. If agents are becoming production systems rather than demos, someone has to own the runtime itself. The loop engineer is the role Barla gives to the person responsible for making long-running agent work dependable.Read more: Adaline LabsThe Fight Against AI Data Centers Is Just BeginningEmma Roth | The Verge | July 12, 2026Emma Roth argues that community resistance to data centers has moved from an early warning sign into a national political fight as AI facilities grow larger, more power-hungry, and more visible to nearby residents. The article starts with Apple's failed 2015 plan for a $1 billion data center in Athenry, Ireland, where a small group of residents challenged the project over noise, light pollution, flooding, traffic, and wildlife effects until Apple abandoned it in 2018.The current data-center buildout is presented as much larger and more contentious. Roth writes that residents now cite rising energy costs, water quality, noise, light pollution, and greenhouse gas emissions, while the U.S. Energy Information Administration expects commercial energy demand to surpass residential demand this year because of AI data centers and Goldman Sachs expects data-center power demand to double by 2027.The central evidence comes from Data Center Watch, which says protesters blocked or delayed at least 75 U.S. projects worth $130 billion from January to March, with active opposition groups more than doubling from 396 at the end of 2025 to 833 by the end of the first quarter of 2026. Roth also cites QTS abandoning a $12 billion Wisconsin campus, Delaware City regulators blocking a 580-acre project under the Coastal Zone Act, opposition stopping a QTS project in Prince William County, and pressure that pushed Kevin O'Leary to downsize the proposed 40,000-acre Project Stratos in Utah.The policy section describes a split between federal acceleration and local resistance. President Trump has treated data centers as part of the AI race with China and fast-tracked construction, while some Republican candidates are distancing themselves from that position ahead of midterms. Sanders and Ocasio-Cortez have proposed a moratorium until price and environmental protections exist, bipartisan lawmakers are backing ratepayer-protection measures, and states including Florida, Idaho, and Washington have passed rules on cost shifting, water use, and tax breaks. Roth's caveat is that the policy patchwork is still incomplete, leaving many communities to fight project by project.Read more6 months to live for open modelsAuthor: Nathan Lambert Published: July 12, 2026Nathan Lambert argues that open-weight AI models are facing their most serious policy test so far because U.S. officials are beginning to discuss concrete controls rather than abstract safety concerns. He says reported White House conversations about a new executive order may initially target Chinese-origin models and government use, but could create a broader review habit for frontier open models. His forecast is that a model above the capability range of GPT-5.5, Claude Opus 4.8, or GLM-5.2 could trigger a ban or indefinite delay within six months.The post separates two policy fights that are becoming intertwined: distillation and frontier capability. Lambert says the distillation campaign against Chinese models has become a form of regulatory capture because Anthropic and other closed-model companies would gain economically if Chinese open models were banned. He does not dismiss IP protection, but argues that if a closed model's capabilities are dangerous enough to justify restricting open models, the lab also has to explain why those capabilities are exposed through a queryable API. He cites unauthorized access to Anthropic's Mythos private beta as evidence that APIs are not automatically secure.The broader claim is that a unilateral U.S. ban would hurt positive actors more than bad actors if comparable open models remain available elsewhere. Lambert says the only durable ceiling would require global agreement, which does not exist, and that open models can improve safety by allowing broad inspection, adaptation, and understanding. His proposed near-term off-ramps are a strong U.S. open model release from companies such as Microsoft, Meta, or Reflection, and a broader coalition of open-source beneficiaries lobbying for safe rollout rather than prohibition.Read more: SourceAmericans Deserve a Dividend From AI Companies' RichesAuthor: Scott Stanford Published: July 14, 2026Scott Stanford argues that proposals to give the government a stake in AI companies miss the point unless ordinary citizens directly receive and control the upside. Sam Altman has discussed giving up equity in OpenAI, Washington already owns a stake in Intel, Nvidia is sharing China chip revenue, and Bernie Sanders wants large AI labs to contribute half their stock to a sovereign wealth fund. Stanford says those ideas all park value with the state, not with people.The killer detail is New Carlisle, Indiana, where AWS's Project Rainier is turning cornfields into one of the world's largest AI superclusters. The project is planned to run up to a million chips, draw more than two gigawatts of power, and represents an investment that has grown from $11 billion to $13.8 billion. Stanford uses that local transformation to argue that AI's public bargain should be visible at the household level.The pull is design. A citizen AI dividend would have to specify who earns a stake, how they hold it, and when they see cash. Without that mechanism, the AI wealth debate remains a fight over government balance sheets rather than public ownership.Read more: SourceWho Gets to Define the Frontier?Author: Mark Daley Published: July 14, 2026Mark Daley argues that Demis Hassabis is right to call for a serious institution to verify frontier AI systems, but that the power to test models is also the power to govern them. Hassabis's proposed Frontier AI Standards Body would get privileged pre-release access to advanced models, testing compute, held-out evaluations, support from national labs and security agencies, third-party auditors, and eventually authority to block models from the American market or coordinate a slowdown.The killer detail is Daley's constitutional objection. He says the proposal sometimes looks like a scientific lab, a standards body, an industry regulator, a licensing authority, and an emergency security council at once. Combining those roles because each requires technical expertise would be like putting the central bank, auditor-general, and Supreme Court in one building and calling it efficient.The pull is standard-setting. Daley's concern is not that verification is unnecessary, but that whoever writes the tests, decides what passes, adjudicates disputes, and grants market access may end up defining the frontier itself.Read more: SourceGPT-Red: Unlocking Self-Improvement for RobustnessOpenAI | OpenAI | July 15, 2026OpenAI describes GPT-Red as an internal automated red-teaming model trained to find prompt-injection vulnerabilities at a scale human red teams cannot match. The post says AI systems increasingly encounter third-party data through browsers, connected apps, local files, and tools, creating opportunities for malicious instructions hidden in emails, webpages, tool responses, or code repositories. Human red-teaming remains part of OpenAI's safety process, but the company says it is time-intensive and cannot generate enough diverse adversarial examples for model training.The system is trained through self-play reinforcement learning, with GPT-Red rewarded for eliciting valid failures and defender models rewarded for resisting attacks while still completing their tasks. OpenAI says the training environments specify threat models across settings such as local files, webpage banners, email bodies, and tool outputs. The model is kept separate from deployed production models because it is intentionally trained with malicious capabilities.OpenAI reports that GPT-Red generalized beyond its training set, including an internal replication of the indirect prompt-injection arena from Dziemian et al. (2025), where it found successful attacks in 84% of scenarios compared with 13% for human red-teamers. The post also says GPT-Red transferred attacks from simulation to a live autonomous vending-machine agent, causing price changes and order cancellations, and outperformed a prompted GPT-5.5 baseline against a Codex CLI agent on held-out data-exfiltration tasks.The article's main robustness claim is that OpenAI has used GPT-Red and predecessor models in training since GPT-5.3, with later GPT releases becoming more resistant to prompt injections. It says GPT-5.6 Sol has six times fewer failures on OpenAI's hardest direct prompt-injection benchmark than the best production model from four months earlier, that a “Fake Chain-of-Thought” attack class fell from more than 95% success against GPT-5.1 to below 10% against GPT-5.6 Sol, and that GPT-5.6 Sol fails on only 0.05% of GPT-Red's direct prompt injections. OpenAI says general capabilities and targeted over-refusal evaluations were not harmed, and says a preprint with more details will follow.Read moreAnthropic, Blackstone bet the next trillion-dollar AI business is implementation, not just modelsRebecca Bellan | TechCrunch | July 15, 2026Rebecca Bellan reports that Ode with Anthropic is the $1.5 billion AI implementation company launched by Anthropic with Blackstone, Hellman & Friedman, Goldman Sachs, and other backers. The article says the venture reflects a growing belief among frontier AI labs that enterprise adoption requires more than better models: customers need engineers who can embed inside businesses and turn AI into working systems.Ode was originally conceived by Blackstone after it used both large consulting firms and smaller AI services boutiques across its portfolio companies. TechCrunch reports that Fractional AI, an AI engineering services startup, stood out and was acquired by the joint venture shortly after the venture was announced. Fractional now forms the foundation of Ode, which has 100 engineers and works closely with Anthropic's applied AI team to identify where the technology can affect specific businesses.Ode CEO Chris Taylor tells TechCrunch that the company could someday become a trillion-dollar business if it scales without losing quality. He says an ideal customer is one whose CEO treats the AI project as a top one or two priority, whether it is a major product feature or the reworking of a core business process. Ode will operate under a “Claude-first” principle, using Anthropic technology whenever possible, but the article says it can use rival AI products when needed.The article's central implementation argument comes from Ode chief technologist Eddie Siegel, who says model selection matters but is not where most of the engineering effort goes. He compares it to the choice of programming language in software: one ingredient in a system that still has to be engineered. Bellan writes that Ode's challenge is hiring and training enough elite generalist engineers, many of them former founders, while competing with OpenAI's The Deployment Company and consulting giants that have built their own forward-deployed engineering teams.Read moreVint Cerf is working on a plan to unleash AI agents on the open internetTim Fernholz | TechCrunch | July 15, 2026Tim Fernholz reports that Vint Cerf, after leaving Google, is advising Innovation Labs on an open architecture for identifying AI agents online. Innovation Labs is a subsidiary of Identity Digital, a DNS registry company, and its proposal is to use domain-name infrastructure as part of a system for agent identity, accountability, and auditability. The premise is that agents will need a way to identify themselves if they move beyond proprietary systems and begin interacting across the open internet.The concrete proposal is DNSid, a registry that links an AI agent to an existing internet domain and uses cryptographic proofs to log its registration over time. Innovation Labs says it is trialing the standard with unnamed hyperscalers and identity companies. Cerf frames the problem around authority and accountability: what authority an agent has, where that authority came from, who is accountable for the agent's behavior, how its identity is established, and why anyone should trust it.The article's caveat is that standards are still emerging and agents are more active than static domains. Cerf says the period may be both fascinating and exasperating because the functionality is powerful and interoperability is unresolved. He compares the adoption problem to TCP/IP: competing systems may not work together until users push for functional interoperation. He also says an agentic economy is not inevitable, but that people will try to build it because delegating work to agents will be easier.Read more: TechCrunchxai-org/grok-build, now open sourceAuthor: Simon Willison Published: July 15, 2026Simon Willison argues that xAI's decision to open-source Grok Build is best understood as a trust repair move after a severe privacy failure. The CLI had triggered backlash when users realized that running it in a directory could upload the entire directory to xAI's Google Cloud buckets, including one user's reported SSH keys, password manager database, documents, photos, and videos. xAI disabled the feature, said previously retained coding data would be deleted, and released the code under Apache 2.0.The killer detail is what the codebase reveals. Willison counts 844,530 lines of Rust, only about 3% of which appears vendored, and finds remnants of the upload system still present but disabled: gcs.rs contains Google Cloud upload code, while upload_session_state() now returns a hard-coded session_state_upload_unavailable error. He also notes copied or ported tool implementations from Codex and OpenCode, prompt files, and a terminal Mermaid renderer.The pull is that terminal coding agents are becoming large, intricate software systems in their own right. The privacy failure mattered because these tools operate inside the directories where developers keep their most sensitive work; the open-source release matters because trust now depends on inspecting what an agent can see, send, and do.Read more: SourceThe Pulse: What can we learn from Bun's rapid Rust rewrite with AI?Author: Gergely Orosz and Ivan Klaric Published: July 16, 2026Gergely Orosz and Ivan Klaric argue that Bun's AI-assisted rewrite from Zig to Rust is a practical sign of how software engineering changes when models can take on large, bounded migrations with clear feedback loops. The piece does not treat the rewrite as magic: Jarred Sumner first spent hours turning design judgment into a detailed porting guide, then used adversarial review, parallel agents, compiler errors, and tests to force the work toward correctness.The killer detail is the scale. Bun had 535,496 lines of Zig, 1,448 files, and 22 million monthly downloads, making a conventional rewrite a year-long freeze the team could not justify. Using Fable, Sumner split the work across 64 agents, produced about 6,500 commits, and got the migration done in 11 days at an estimated API cost of $165,000.The pull is economic, not theatrical. If a one- or two-year migration can become an 11-day project, AI coding is not just faster autocomplete; it changes which technical debts are worth paying down.Read more: SourceOrphan risks at the frontier of artificial intelligenceAuthor: Andrew Maynard Published: July 16, 2026Andrew Maynard argues that frontier AI safety frameworks are creating “orphan risks”: harms that companies can see, but do not formally own because they are hard to quantify, do not fit catastrophic-risk thresholds, or fall outside audit-friendly compliance machinery. His target is not existing frontier safety work, but the narrowing effect that happens when private companies decide which risks count as governable.The killer detail is Maynard's contrast between measurable model dangers and threats to value. He points to Meta's three-day Galactica collapse, OpenAI's 2023 board crisis, safety-team departures, and wellbeing litigation as examples of risks that damaged trust, culture, legitimacy, or users without fitting cleanly into conventional model-risk categories. The proposed fix is an orphan-risk register: a public record of risks a company considered and chose not to manage, with reasons.The pull is accountability. Frontier developers' internal scoping choices have become a de facto layer of public governance, so the question is no longer only which risks they manage, but which risks they quietly leave outside the frame.Read more: SourceThe Lab of the Future Should Feel Like a Data CenterLatent.Space with Andy Beam and Rafa Gomez-Bombarelli | Latent.Space | July 16, 2026Latent.Space interviews Lila Sciences CTO Andy Beam and chief science officer for physical sciences Rafa Gomez-Bombarelli about the company's attempt to build an AI-run science factory. The post describes Lila's thesis as treating the lab itself as an “infinite token generator”: if internet data drove the first era of AI scaling, experimentally verified scientific data may be the next scarce training source. Lila is trying to produce that data with robotics, lab instruments, orchestration software, and AI models wired into the wet lab.The central analogy is the lab as data center. Instruments are nodes on a graph, a magnetically levitating transport layer moves materials between them, and experiment scheduling looks like a compute queue. Beam says Lila is not simply an automation company, because the point is not just throughput; it is flexibility, generalization, and experiment capture. The post says Lila has built more than 10 trillion experimentally validated “scientific reasoning tokens,” not internet text or biological sequences.The interview ranges across biology, chemistry, drug discovery, materials science, and the limits of automation. It notes that Lila rebuilt one gas-sorption measurement to run roughly 2,500 times faster, claims its general models can transfer priors from small-molecule chemistry to metal-organic frameworks for carbon capture, and describes model-suggested platinum-group-free electrocatalysts that moved from looking boring or wrong to becoming strong performers. The caveats are physical: experiments have runtimes, biology cannot always be accelerated, chains of thought can be unreliable narrators, and reward hacking becomes more dangerous when a model controls a real lab.Read more: Latent.SpaceWhy AMI Labs' Alexandre LeBrun won't call his AI “AGI” or “superintelligence”Kate Park | TechCrunch | July 16, 2026Kate Park interviews AMI Labs CEO Alexandre LeBrun about why Yann LeCun's world-model startup avoids the language of “AGI” and “superintelligence.” LeBrun says the terms are not useful because they lack stable definitions: “We never used the word AGI. And I just noticed that nobody is using it anymore; they switched to superintelligence.” His argument is that the practical frontier is not a label, but whether AI systems can understand and predict real-world states.The article explains the world-model thesis by contrasting language prediction with physical-state prediction. A large language model predicts the next word; a world model predicts the next state, such as what happens when a glass tips over. LeBrun says LLMs remain complementary and efficient for language, but the physical world is where current AI is weak. Robotics is the clearest case: hardware has advanced quickly, but robots are still brittle outside controlled routines because they lack context and situational understanding.AMI is still pre-product, but TechCrunch reports that LeBrun was in Seoul looking for industrial partners, researchers, and global companies. He says world models cannot be built entirely inside a lab because they need access to real environments. That is why South Korea appeals to AMI: robotics, semiconductors, manufacturing, and fast adoption create the kind of hardware-heavy context that software-only AI has barely touched.Read more: TechCrunchKimi K3 Tech Blog: Open Frontier IntelligenceKimi | Kimi | July 16, 2026Kimi introduces Kimi K3 as an open 3T-class frontier model aimed at coding, knowledge work, reasoning, multimodality, and long-context agentic use. The source describes the model as a 2.8T-parameter system built on Kimi Delta Attention and Attention Residuals, with native multimodality and a 1M-token context window. It says Moonshot AI plans to release model weights by July 27.The post presents K3 through benchmark and use-case sections rather than as a general product announcement. It reports results across coding, productivity, agentic, and multimodal evaluations, including DeepSWE, Terminal-Bench 2.1, Program Bench, SWE Marathon, FrontierSWE, PostTrain Bench, OfficeQA Pro, SpreadsheetBench 2, MCP Atlas, AutomationBench, BrowseComp, GDPval-AA v2, AA-Briefcase, MMMU-Pro, MathVision, BabyVision, OmniDocBench, and PerceptionBench. The source says all reported K3 results use maximum reasoning effort with temperature and top-p set to 1.0, and that different benchmark comparisons use KimiCode, Claude Code, or Codex harnesses depending on the test.Kimi's caveats are unusually concrete. The limitations section says K3 was trained in preserved thinking-history mode, so quality may become unstable if an agent harness does not pass historical thinking content correctly or if an ongoing session switches to K3 midstream. It also says K3's emphasis on long-horizon tasks can make it excessively proactive when it encounters minor issues or ambiguous intent, and recommends imposing explicit behavioral constraints for applications that require strict boundaries. The post adds that K3 remains behind Claude Fable 5 and GPT 5.6 Sol in user experience despite being competitive overall.Read moreVenture CapitalThree Years InAuthor: Tomasz Tunguz Published: July 10, 2026Tomasz Tunguz marks Theory Ventures' third anniversary by arguing that AI's central market effect is time compression. In his telling, model release cycles, company revenue milestones, enterprise adoption, and venture categories have all accelerated. Seed, Series A, and Series B still exist as financing labels, but they no longer cleanly describe company maturity when some seed rounds are larger than IPOs and the best AI companies can mature much earlier than prior software companies.The killer detail is the shift from models to inference. Tunguz argues that inference has become the dominant AI market because workloads and buyer preferences are fragmenting: video, batch, local, agentic, and real-time tasks each create different infrastructure needs. He compares this to databases splitting into OLTP, OLAP, vector, and streaming categories, with AI pushing the same specialization into inference infrastructure.The pull is that Theory sees the AI-native venture firm as part of the same pattern. The firm says it has analyzed twice as many investment opportunities with three investors working alongside a nine-person intelligence organization, using agents and research systems to map markets, source companies, and support diligence. The piece is both a market map and a statement about how venture itself is being rebuilt by the technology it funds.Read more: LinkedInVenture Has Rarely Looked More BifurcatedAuthor: Beezer Clarkson Published: July 14, 2026Beezer Clarkson points to PitchBook's Q2 report as evidence that the U.S. venture market has split into two very different realities. AI now accounts for more than 60 percent of all U.S. venture deal value, meaning the headline market can look active and well-funded even while much of the non-AI market is dealing with a much colder liquidity and fundraising environment.The thread uses that split as the setup for Clarkson's latest Origins episode with Alec Litowitz, founder of Magnetar and QStar Capital and one of Citadel's original founding partners. Clarkson says markets like this are periods of genuine uncertainty, not merely ordinary risk, which is why Litowitz's Adaptability Quotient framework is relevant.The embedded clip makes the liquidity point concrete. Litowitz says DPI is “the resolution of uncertainty” because it converts an uncertain investment into actual cash returned to LPs. In his framing, a realized dollar is a real mark, while TVPI remains uncertain until it is realized.The killer detail is the distinction between pricing risk and resolving uncertainty. Litowitz's perspective matters because QStar is a SpaceX investor and Clarkson says the conversation happened just before one of venture's most consequential IPOs. The episode's stated questions are why venture remains a way to gain exposure to innovation, how AI is changing what is investable, why liquidity is ultimately a function of time, and why uncertainty requires a different decision framework from risk.Read more: XThe Best Angel Investors in the US: Who Backs the Most Unicorns, and Who's Active NowAuthor: Ilya Strebulaev Published: July 10, 2026Ilya Strebulaev ranks angels, angel groups, accelerators, and incubators by lifetime U.S. unicorn investments, counting checks written before a company reached unicorn status. The top of the combined list is dominated by organizations: Y Combinator leads with 113 unicorn investments, followed by Plug and Play at 52 and 500 Global at 41. Sand Hill Angels is the highest-ranked angel group at 31.The killer detail is how quickly the list changes below the biggest accelerators. Strebulaev says 271 of the 304 investors in the Top 200 are individuals, or 89%. In the top 100, individuals are 91%. That makes the market underneath the large accelerator counts look much more personal: mostly operators and individual angels writing early checks from their own networks.The pull is the ranking's own caveat. Strebulaev writes that every lifetime leaderboard has a blind spot because many of the unicorns behind those totals were founded a decade or more ago, and some angels have since moved into formal funds, slowed down, or stopped investing. His post therefore separates lifetime performance from recent cohorts, including companies founded in 2015 or later and 2020 or later. For founders or allocators making current decisions, that distinction matters: a career record and a current record are not the same measure.Read more: Ilya StrebulaevAre Prediction Markets Doomed to Fail?Author: Contrary Published: July 16, 2026Contrary argues that prediction markets' current boom depends on whether platforms can prove they are more than regulated gambling with exchange-style branding. Kalshi and Polymarket have reached mass cultural, investor, and regulatory attention, but the article says the underlying idea is old: academic markets, corporate forecasting tools, Intrade, PredictIt, and other predecessors all struggled with the same linked problems of liquidity, legality, and user appeal.The killer detail is the comparison with sportsbooks. Prediction markets present themselves as peer-to-peer, transparent, and non-house-based, but sports contracts reportedly account for more than 90 percent of Kalshi trading, and the article says the platforms keep a much thinner slice of volume than sportsbooks. A market can therefore show sports-betting-scale handle while generating far less revenue.The pull is that the product's hardest problem may be distribution of wins. If a small group of sharp traders captures most profits while casual users lose interest, prediction markets may become valuable data feeds and professional tools before they become durable consumer networks.Read more: SourceRegulationExclusive: The Next Frontier of the Deportation Wars: College CampusesAuthor: Adrian Carrasquillo Published: July 11, 2026Adrian Carrasquillo reports that college campuses are becoming a new front in the fight over immigration enforcement because automatic license plate readers can turn ordinary campus security infrastructure into searchable location data. His thesis is that Flock Safety's camera network, even without direct ICE or DHS contracts, can feed deportation enforcement through local police partnerships and data-sharing practices.The killer detail is the campaign target. The Emergency Campaign to Support Higher Education, working with Schools Drop ICE, is focusing on 75 colleges and universities publicly identified as having Flock contracts. Flock says it has no ICE or DHS contracts, but activists argue the risk comes through local agencies that coordinate with federal authorities and run searches on their behalf.The pull is broader than immigration. Carrasquillo notes that license plate readers have already been abused by officers for stalking, and that Flock's AI search features can identify more than plates, including bumper stickers. A campus safety tool can become a political surveillance system when the data layer is searchable.Read more: The BulwarkThe Supreme Court Broke Independent Agencies. Here's a Way to Slow the Damage.Author: Todd Phillips Published: July 12, 2026Todd Phillips argues that the Supreme Court's decision in Trump v. Slaughter damaged independent agencies by ending for-cause removal protections, but did not leave Congress powerless. The ruling weakens the old model in which commissioners at bodies such as the FTC, NLRB, CPSC, SEC, and CFTC could be insulated from dismissal over policy disagreements. Phillips says the next fight is whether presidents can turn nominally bipartisan commissions into one-party instruments.The killer detail is the procedural fix: quorum rules. Phillips proposes that Congress require bipartisan slates of commissioners to be seated before independent agencies can act. A president could still fire commissioners, as the Court now permits, but if those firings broke quorum, the agency would be unable to proceed until replacements were confirmed. The guardrail would

This week on Cinematic Savants we're recapping our Boys Night Out watching The Furious, but can good food and company lift the reviews for all? Tommy has very high praise for a new release this week that came from a co-sign of Ryan. The Savants try to figure out why IP properties have been tanking at the box office while original content has been flourishing and breaking records. Lastly, to cap off the midpoint of the year Shawn, Ryan, and Tommy give their top 3 films of the year.

Irena Cronin has been studying XR since 2016 — first as Robert Scoble's co-author, now as CEO of Infinite Retina, consulting for clients from IKEA's labs division to a major law firm tracking the industry. She joins Charlie, Ted, and Rony for a blunt assessment of how the biggest companies in tech actually operate.The centerpiece is Rony's question: Meta has spent roughly $120 billion on Reality Labs since acquiring Oculus. Where did it all go? Irena's answer is unsparing — complete mismanagement, no follow-up, and a lack of imagination that money can't fix. Apple gets a different diagnosis. Irena tracked the Vision Pro through hundreds of iterations since 2019 and predicted exactly how it would land. Her real news: it isn't dead. People inside Apple are still working on it intensely while the glasses project ramps up. The news segment covers OpenAI's Apple IP scandal and whether the Valley now operates in a post-IP world.Key Moments:[00:01:30] OpenAI caught in Apple's cookie jar — IP theft accusations on the eve of the IPO[00:05:00] Sherlocking and the post-IP world — how big companies strip-mine startups through fake M&A talks[00:12:00] AI regulation — Hassabis, Altman, and Amodei; Rony's case for why the public gets Cessnas, not F-47s[00:18:45] Irena joins — Infinite Retina, IKEA, and why physical AI is just spatial computing renamed[00:24:30] Why isn't anyone afraid of Google? — fifteen years of planetary data and no strategy to use it[00:33:30] Where did Meta's $120 billion go? — "complete mismanagement" and a failure of imagination[00:38:00] The Vision Pro isn't dead — Apple is still working on it intensely as the glasses ramp up[00:41:45] Why is XR so obscenely hard? — the industry chased consumers before enterprise[00:44:30] The display is everything — why smart glasses "go bonkers" the moment AR hits the lensBrought to you by Zappar and Mattercraft, the leading visual development environment for immersive 3D web experiences. Start building at mattercraft.io. Hosted on Acast. See acast.com/privacy for more information.

✉️精彩話題與深度觀點，訂閱 IC之音電子報一手掌握：https://pse.is/8wpx6m★★歡迎點此寫電子小紙條給主持人，分享您對節目的感想。傳統戲曲遇上武俠宇宙，會碰撞出什麼樣的新火花？《行俠》編劇劉建幗將帶領我們，走進臺灣豫劇團全新推出的「武俠宇宙系列」，從廣受好評的《鏢客》延伸角色故事，以獨立單元劇《刀火》與《風中草》，打造節奏明快、人物鮮明的武俠新篇章，並深入解析兩齣短篇作品的創作巧思。《刀火》以護鏢途中接連不斷的荒謬誤會，展現年輕演員精彩的武打身段與喜劇節奏；《風中草》則回到《鏢客》之前，揭開賣草鞋少年「小草」不為人知的過往，從師命、忠誠到俠義抉擇，重新詮釋「行俠」真正的意義。除了劇情亮點，這回臺灣豫劇團，不僅跨劇種邀請歌仔戲青年演員同臺飆戲，更由王海玲領銜編腔，結合臺灣在地音樂創作，展現豫劇與歌仔戲交融的嶄新風貌。同時，劉建幗也暢談奇巧劇團經典作品《鞍馬天狗》十週年，年底將以其為核心展開系列紀念計畫，持續探索武俠、通俗文學、搖滾與戲曲跨界融合的更多可能。從武俠IP的世界觀建構，到青年演員的培育舞台，再到戲曲跨界創新的實踐，看見傳統戲曲如何在保留深厚底蘊的同時，回應當代觀眾的觀賞節奏與美學期待，邀請您2026年8月15日至8月16日一起走進高雄中山堂劇場，在臺灣豫劇團2026武俠宇宙系列《行俠》的刀光劍影與俠義情懷之間，感受臺灣戲曲持續進化的無限魅力。————————————企劃︱王安祈、羅仕龍、周信宏製作︱周信宏2026武俠宇宙系列《行俠》臺灣豫劇團特別邀請明華園戲劇總團李郁真，及薪傳歌仔戲劇團鄭力榮共同跨界演出。2023年《鏢客》的鏢師燕小魚（左一：謝文琪 飾）與柴八斗（右一：吳紹騰 飾）在《行俠》編劇劉建幗、廖珮宇筆下會有哪些護鏢新任務呢？《鏢客》中技能顛覆大翻轉的小草，身世之謎將在《行俠》〈風中草〉解密。

The entire technology world has, for decades, treated the IP address as a shorthand host identifier. This is clearly not the way IP was designed, but what are our other choices? In this episode of the Hedge, Scott Robohn joins Russ And Tom to discuss a recent paper arguing cryptographic keys should be the primary host identifier, and another article on the centrality of DNS to the Internet.

Daniel is joined by Andrew Levy, Vice President of Business Development, IP & ASIC at Alphacore. Andrew leads strategic growth initiatives, customer engagement, technology commercialization, and business development activities for the company’s semiconductor IP, ASIC design services, and advanced microelectronics… Read More

In today's Daily Fix:It's been almost nothing but bad news for Xbox and its subsidiaries ever since CEO Asha Sharma announced the great and terrible Xbox reset of 2026. But there is some silver lining to all of the chaos: Bethesda Studios head Todd Howard has announced a roadmap for the company's IP including Fallout, The Elder Scrolls, and Starfield. Confirmed are remakes of Fallout 3 and New Vegas, and the next mainline game, Fallout 5, is in development. But right now their biggest priority is The Elder Scrolls 6, which we've seen nothing of save for a teaser trailer back in 2018. In other gaming adjacent news, the God of War live-action series encountered a major setback when star Ryan Hurst suffered a torn bicep and will need to be recast. Apparently the recovery time will be too long and his 12-year-old co-star Callum Vinson will likely have aged noticeably enough for the footage not to match. And finally, we have this week's latest gaming releases.

Nina Spears is a baby planner, doula, educator, and founder of Baby Chick who works with pregnant and postpartum people. She discusses why preparation matters but control is an illusion, including one of the most important birth skills of all. Connect with the guest: baby-chick.com @thebabychick Facebook YouTube TikTok Grow with us on ⁠IP+⁠! Informed Pregnancy Media presents two all new intimate short-form video series following Garrett and HeHe's real-time pregnancy journeys as they prepare for an empowered birth and postpartum experience. Each episode features weekly updates with personal photos and videos to help bring these raw stories to life, a visually dynamic guide through each mother's emotional and physical experiences. ⁠Watch Growing with Garrett⁠ ⁠Watch Growing with HeHe⁠ Keep up with Dr. Berlin and Informed Pregnancy Media online! ⁠⁠⁠informedpregnancy.com⁠⁠⁠ ⁠⁠⁠@doctorberlin⁠⁠⁠ ⁠⁠⁠Youtube⁠⁠⁠ ⁠⁠⁠LinkedIn⁠⁠⁠ ⁠⁠⁠Facebook⁠⁠⁠ ⁠⁠⁠X⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

The beauty industry disruptor that brought clean beauty into the mainstream is back with a shiny new brand concept.  Gregg Renfrew, the entrepreneur behind Beautycounter and Counter, is launching her third beauty brand on September 1 in an effort to reach consumers ages 14 to 30.   The brand is called Beecee and, in a lot of ways, is an iteration of now-defunct Beautycounter. The line will launch direct-to-consumer with lip gloss, skin balm and face mist at premium price points. The company is currently in the midst of a community meet-up tour — hosting events with Renfrew in Nashville, New York, Chicago and Charleston, among other cities — to recruit and mobilize excited young brand advocates who can earn a commission on sales.  But do young people care about clean beauty? “The answer is unequivocally yes,” Renfrew told Glossy. “I've actually been really surprised by how many of the young women with whom we've been interacting have said that this really matters to them.”  In 2013, Renfrew launched Beautycounter, a first-of-its-kind beauty business built off ingredient transparency, independent sellers and ‘boots on the ground' industry advocacy in Washington, D.C. The concept struck a nerve and forever shifted the beauty industry toward better transparency.  But Renfrew was very early to the "clean beauty" wave — something that, today, is very much table stakes for new brands. This has presented its own challenges for Renfrew's ongoing success.  “It's both a blessing and a curse to be the leader and the disruptor in any industry at any moment in time,” she said. “In some ways, I have the luxury now of coming back in through Counter and Beecee to see all the things I did well and all the things I didn't do well, of which there were many, and iterate on those models to do them better than I did before.” Beautycounter officially shuttered in 2024, giving Renfrew the opportunity to buy back her IP from the VC firm The Carlyle Group. Renfrew then parlayed her bestselling formulas and clean beauty mission into Counter, her brand launched DTC in 2025 to serve women 35 and older.  Glossy Beauty podcast host Lexy Lebsack sat down with Renfrew to discuss Beecee, the future of clean beauty, how to best reach Gen Z and why the best days of specialty beauty retail are behind us. 

Today in the business of podcasting:Tom Webster's latest Podcast Atlas installment digs into podcast clips as the industry's discovery engine, finding that 89% of listeners watch clips on social platforms and roughly a third convert into full-episode listeners.Amazon DSP adds Triton Digital as a programmatic partner, giving buyers access to Triton's global audio and podcast inventory paired with Amazon's first-party shopping and streaming data.A new WARC Media report pegs YouTube's 2025 ad revenue at $40.4 billion, but growth is decelerating even as podcast viewership on the platform surges 70% year-over-year.Digiday explores creators breaking into Hollywood with box-office hits and private equity backing, while flagging IP ownership as the ceiling on how far that crossover can go.To find links to these, and every article covered in today's episode, click here. You can also subscribe to The Download's newsletter to receive the full issue straight to your email inbox every day.

In this episode of Capital for Good we speak with Julie Samuels, the founder, president, and CEO of Tech:NYC, a network of technology leaders dedicated to fostering a dynamic, diverse, and creative New York. Launched in 2016, Tech:NYC operates at the intersection of business, government, academia, and philanthropy, convening leaders to strengthen New York's innovation economy through policy, partnerships, and programs. We begin with some of Samuels's formative experiences at the intersection of technology and policy: a college internship at the National Center for Supercomputing Applications at the University of Illinois Urbana-Champaign, work as an IP lawyer and at the Electronic Frontier Foundation (EFF), and her leadership of Engine, the national nonprofit focused on technology entrepreneurship and advocacy. We also discuss the context and conditions that would inform the launch of Tech:NYC: the groundwork laid by the Bloomberg Administration to foster the growth of the city's tech sector, a critical mass of tech firms in the city, and industry leaders like Fred Wilson, Kevin Ryan and Tim Armstrong who recognized that better and coordinated leadership could help shape New York's continued growth as the country (and world's) number two tech hub behind Silicon Valley. Samuels is passionate about the technology-city nexus. "Tech culture and tech zeitgeist really lend themselves to an urbanist way of seeing the world," she says. "People in tech have a systems framework, and big urban centers like New York are all about systems — think about things like public transit. This makes for natural connection between tech and urban centers." She notes that New York has been particularly successful in tech because of the diversity of its other industries: companies can apply and test technologies developed on the West Coast to other markets, from financial services and health care to real estate, hospitality, media, fashion, or wherever New York is the world's "center of gravity." According to Samuels, these dynamics underpin the sector's extraordinary growth: today technology is the city's fastest growing industry with over $30 billion in annual venture capital flowing to 25,000 startups and accounting for 300,000 jobs (64 percent growth over the last decade, 41 percent of net job growth since 2019) and nine percent of the Gross City Product. Samuels underscores the cultural reasons this growth is durable: "Tech is a creative industry," she explains. "It benefits from the creative energy of a big city… density, networks of different kinds of people, cultural institutions, night life. When I lived in San Francisco, I would meet tech people who lived in SF. Here, we have New Yorkers who work in tech." Tech:NYC's work has evolved over the last ten years, while remaining true to its mission "to ensure New York City is the best place to start and grow a tech company." For Samuels, this mission is two-fold: create the conditions for the tech industry to thrive and integrate technology into the life of the city in ways that uplift everyone. "As tech radically changes how all of us live and work," Samuels says, "Tech:NYC exists to ensure transition is as smooth as possible." As a research and policy advocacy organization, Tech:NYC focused its early years primarily on technology policy and the role of the tech sector in the city and state's larger economy. Today, Samuels notes, while Tech:NYC still works closely on tech policy — things like data privacy, broadband, or public private partnerships like Empire AI, which will provide state-of-the-art power for New York's top University researchers to develop safe, equitable, and responsible AI — it is also focused more broadly on basic "livability" issues like housing, education, and public safety that allow people to live, work and raise families in New York.  Tech:NYC's work also extends to programs like Decoded Futures, a capacity-building AI initiative that equips leaders from the social sector with the tools and skills to use AI to scale their impact, and the Grid Fellowship, which connects technology leaders with New York's public sector. And since its earliest days, Tech:NYC has undertaken many initiatives in K-12 and higher education and workforce development to invest in the participation of all New Yorkers in the tech economy. We discuss the challenges of the current moment, including the advent of AI and its attending economic and political complexities. Ultimately, Samuels says, "Progress is real; we're strivers, builders, creators. Let's lean into that, and make sure growth happens with intention and with the right guardrails. New York can lead on this."   Mentioned in this episode: Tech:NYC Built to Lead: New York's Momentum Toward Global Leadership in Applied AI, (Tech:NYC and Accenture, 2025)

Today in the business of podcasting:Tom Webster's latest Podcast Atlas installment digs into podcast clips as the industry's discovery engine, finding that 89% of listeners watch clips on social platforms and roughly a third convert into full-episode listeners.Amazon DSP adds Triton Digital as a programmatic partner, giving buyers access to Triton's global audio and podcast inventory paired with Amazon's first-party shopping and streaming data.A new WARC Media report pegs YouTube's 2025 ad revenue at $40.4 billion, but growth is decelerating even as podcast viewership on the platform surges 70% year-over-year.Digiday explores creators breaking into Hollywood with box-office hits and private equity backing, while flagging IP ownership as the ceiling on how far that crossover can go.To find links to these, and every article covered in today's episode, click here. You can also subscribe to The Download's newsletter to receive the full issue straight to your email inbox every day.

Most creators sharing AI tools with their audience are unaware they're vulnerable to two big risks: giving unlimited access to anyone who wants it, and feeding their expertise into a learning model shared with millions of other users. Kelly Sinclair is on a mission to fix both problems. Kelly Sinclair is a brand and marketing strategist turned "accidental" AI tech co-founder of wAIv by Gravia Studio, a platform for expertise-based creators who want to build and share AI tools while protecting the IP they took years to build. In this episode, Kelly unpacks what's actually happening when creators unknowingly expose their IP through popular AI-building tools, why she builds "bot squads" instead of one all-purpose bot, and how creators with existing Custom GPTs can migrate them to something more secure without starting from scratch. Connect with Kelly: Special gift for Cubicle to CEO listeners! Download the AI Product Playbook for FREE: https://graviastudio.com/ceo. The AI Product Playbook walks you through designing your first expert-backed AI product in about 20 minutes. Built on your methodology. Ready to gate and sell. ⁠https://waiv-ai.com https://instagram.com/kelly_makes_waiv https://instagram.com/joinwaiv https://www.youtube.com/@waiv-ai Loving our bonus content and want more Cubicle to CEO in your ears? Join us every Monday on our subscriber-only premium feed for case study–style interviews with successful entrepreneurs debriefing their real-time growth experiments and results. Subscribe to get insider access to what's actually been working for businesses in the last 3-18 months: ⁠⁠⁠⁠⁠cubicletoceo.co/podcast⁠⁠⁠⁠⁠ If you enjoyed today's episode, please: Post a screenshot & key takeaway on your IG story and tag us ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@cubicletoceo⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ so we can repost you. ⁠⁠⁠Subscribe to ⁠⁠⁠⁠⁠our premium feed⁠⁠⁠⁠⁠ for case-study style interviews every Monday. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this insightful episode 119, Part 1 of Going Forward, host Eric Elliott sits down with Sharon Toerek, Founder of Legal + Creative, for the first half of a two-part conversation on creativity, intellectual property, legal strategy, agency growth, and the future of creative work.Sharon has built a national law practice helping advertising, marketing, communications, and creative agencies protect their assets and turn their ideas into revenue. In this episode, she and Eric dig into a topic that every agency owner, creative leader, and business builder needs to understand: your ideas may be more valuable than you realize, but only if you know how to protect them.Together, Eric and Sharon talk about why legal strategy should not be viewed as a barrier to growth, but as a tool for building a stronger business. Sharon explains how agencies can think differently about the work they create, the intellectual property they own, the rights they assign, and the ways they may be giving away too much value without realizing it.The conversation also explores how AI is putting pressure on old agency business models. As asset creation becomes faster and easier, Sharon makes the case that agencies need to understand where the real value lives: in strategy, thinking, systems, methodologies, and creative intelligence.Topics include: why legal affairs can become a profit center; how agencies can monetize intellectual property; the difference between deliverables and underlying IP; how AI is changing creative business models; why agencies need to document their knowledge and processes; the role of contracts, licensing, and usage rights; why agencies give away too much value; how scope creep eats away at profit; and why both agencies and clients need to agree on what success actually looks like.And in Part 2, Eric and Sharon continue the conversation with a deeper look at AI ownership, law firm marketing, compliance, client responsibilities, and the questions law firms should ask before hiring an agency or production company.Connect w/ Eric Elliott:Website: ⁠⁠⁠⁠https://ericelliott.com/Facebook: ⁠⁠⁠⁠https://www.facebook.com/ericelliottspeakerLinkedIn: https://www.linkedin.com/in/theericelliott/ Instagram: ⁠⁠https://www.instagram.com/ericmelliott/Twitter: ⁠⁠https://twitter.com/EricMElliottTiktok: https://www.tiktok.com/@ericmelliottEmail: Eric@EricElliott.comText: 843-279-5843Connect w/ Sharon Toerek:LinkedIn: https://www.linkedin.com/in/sharontoerekLegal + Creative LinkedIn: https://www.linkedin.com/company/legal-creative/Website: https://legalandcreative.com/Supercharge your online advertising campaigns with Optmyzr! Streamline management, optimize performance, and boost your ROI. Visit https://www.optmyzr.com/⁠⁠⁠⁠⁠ to discover how Optmyzr can revolutionize your digital marketing.Also, as a special treat for our listeners, sign up with the code GOINGFORWARD20 and enjoy an exclusive 20% discount on your first year with Trainual! Seize this opportunity to supercharge your operations and propel your business forward!Eric Elliott is the founder of VIP Marketing and Craft Creative, two agencies dedicated to helping law firms build stronger brands and sustainable growth strategies. With a background in radio, television, and digital media, Elliott works with legal organizations across the country to align marketing strategy, creative storytelling, and operational systems to drive measurable results.Going Forward is brought to you by VIP Marketing. VIP Marketing is a law firm marketing agency built to help firms become the choice in their market through strategy-led SEO, paid media, website design and development, brand strategy, and premium video production. Based in Charleston, South Carolina, VIP Marketing serves law firms nationwide. Our website provides detailed information on our services and expertise. For more information, visit vipmarketing.com.

When you work deep in the hospital mid-revenue cycle there can be an unfortunate but understandable tendency to divorce your work from the patient. To become separated from clinical care and outcomes, and even, in the case of value-based care, from its intended objective of improving affordability and quality. Those points are not lost on Dr. Sunita Varghees or Carrie Horn, who spearheaded an outpatient CDI program at Baylor Scott & White Health. One that is truly patient-centric and focused on reducing ER utilization and delivering the right level of service, not just the most profitable. Listen in as we discuss: Baylor Scott and White Health—Lay of the land of the organization and how and when they got started in outpatient CDI. “Successful risk adjustment starts with the patient”--the why of OP CDI and how their work ties into chronic condition management, not just capture. We discuss KPIs and financial metrics, too. New heart disease screening initiative—what it is, what it entails, and early successes. Is knocking down ER visits and IP admissions and getting the right level of care at the right price at odds with hospital revenue gains? Are they making it up with shared savings or care funding? Tech enabled/tech forward approach including ambient AI. Biggest success and biggest do-over, if they could do it all over again. What's next on the OP CDI roadmap? Favorite song for the Off the Record Spotify playlist...

THURSDAY HR 4 Ray Traendly for TK Law instudio. It's very important to plan your how you want your passing to be admin. Iron Maiden has sold their catalog and IP. Are they a bigger band than Kiss? Amber Nove gets booked for a comedy show. She's trying to hook up Ryan. See omnystudio.com/listener for privacy information.

Canada produces world-leading science, engineering, and AI research. So why does so much of that research still commercialize outside of Canada?In this episode of TechSurge, host Nic Brathwaite puts that question to four leaders at two of Canada's top research universities: Mary Wells (Dean of Engineering) and Chris Houser (Dean of Science) at the University of Waterloo, and Heather Sheardown (Dean of Engineering) and Gianni Parise (VP Research) at McMaster.At Waterloo, Mary Wells traces how the university's origin produced one of the world's most influential co-op programs and a creator-owned IP policy that lets inventors keep their ideas, making the school a talent engine for global tech. The group digs into Canada's AI paradox, foundational research and talent but far less of the economic value, and what quantum, robotics, and advanced manufacturing show about getting research to market.McMaster runs a different model, built on health sciences, nuclear research, and problem-based learning. Heather Sheardown explains the McMaster Method and why it matters in an AI-shaped future. Gianni Parise argues for commercialization as a core university function, with work spanning AI-assisted drug discovery, inhaled vaccines, critical-mineral-free motors, and a campus nuclear reactor that supplies much of the world's iodine-125 for prostate cancer treatment. They also unpack Fusion Pharmaceuticals, the McMaster spin-out acquired by AstraZeneca, and what it reveals about university commercialization.Together, these conversations ask what universities must become in an era defined by AI, deep tech, national competitiveness, and the urgent need to move ideas from the lab into the world.Sign up for our newsletter at techsurgepodcast.com for updates on upcoming TechSurge Live Summits and future episodes.Speaker Profiles and LinksMary Wells - University of Waterloo Profile: https://uwaterloo.ca/engineering/about/dean-engineerinChris Houser - University of Waterloo profile: https://uwaterloo.ca/earth-environmental-sciences/profile/chouserHeather Sheardown - McMaster Engineering profile: https://www.eng.mcmaster.ca/chemeng/faculty/dr-heather-sheardown/Gianni Parise - McMaster Experts Profile: https://experts.mcmaster.ca/people/parisegChapters: 0:00 Highlights0:56 Welcome 2:39 Waterloo's origin story 4:51 Creator-owned IP and the Waterloo model 7:42 The Co-op Flywheel 8:56 Canada's AI paradox: world-class research, slower domestic value capture 10:21 AI, Regulation, Trust, and Canadian Competitiveness 17:09 Rethinking the PhD for Commercialisation 21:43 Inside Waterloo's labs 30:14 What Waterloo wants to be in ten years: builders of the country 32:39 Meet McMaster: health sciences, nuclear capability, and research intensity 34:12 The McMaster Method 35:11 Research, Health, and Commercialisation 40:45 McMaster Labs: Heat, Motors and Health Innovation 47:13 Bioinnovation, Nuclear Research and Fusion Pharmaceuticals 58:43 The university of 2035: less lecture, deeper societal impact References Mentioned and Further ReadingUniversity of Waterloo Policy 73 - Intellectual Property Rights: https://uwaterloo.ca/secretariat/policies-procedures-guidelines/policies/policy-73-intellectual-property-rightsUniversity of Waterloo - Our IP policy: https://uwaterloo.ca/entrepreneurship/our-ip-policyUniversity of Waterloo Co-op programs: https://uwaterloo.ca/future-students/co-opUniversity of Waterloo - Academy of Research Commercialization: https://uwaterloo.ca/conrad-school-entrepreneurship-business/graduate-students/academy-research-commercialization-arcOpen Quantum Design: https://openquantumdesign.org/Institute for Quantum Computing, University of Waterloo: https://uwaterloo.ca/institute-for-quantum-computing/CIFAR - Pan-Canadian Artificial Intelligence Strategy: https://cifar.ca/ai/Government of Canada / ISED - Pan-Canadian Artificial Intelligence Strategy: https://ised-isde.canada.ca/site/ised/en/pan-canadian-artificial-intelligence-strategyStatistics Canada - Understanding Canada's innovation paradox: https://www150.statcan.gc.ca/n1/pub/36-28-0001/2024007/article/00002-eng.htmCouncil of Canadian Academies - Innovation and Business Strategy: Why Canada Falls Short: https://cca-reports.ca/wp-content/uploads/2018/10/2009-06-11-innovation-report-1.pdfKPMG / University of Melbourne - Trust, attitudes and use of artificial intelligence: https://assets.kpmg.com/content/dam/kpmg/ca/pdf/2025/07/trust-in-ai-en-report.pdfMcMaster - Our approach to teaching and learning / Problem-Based Learning: https://provost.mcmaster.ca/teaching-learning/our-approach/McMaster - Evidence-based medicine: https://fhshrwelcome.mcmaster.ca/did_you_know/evidence-based-medicine/McMaster Nuclear Reactor - Medical Isotopes: https://nuclear.mcmaster.ca/medical-isotopes/McMaster Industry Liaison Office - IP and commercialization FAQ: https://research.mcmaster.ca/mcmaster-industry-liaison-office-milo/ip-education/intellectual-property-guides/faqs/McMaster - AstraZeneca to acquire McMaster-supported Fusion Pharmaceuticals: https://news.mcmaster.ca/astrazeneca-to-acquire-mcmaster-supported-fusion-pharmaceuticals/Fusion Pharmaceuticals - FACIT investment and CPDC spin-out background: https://fusionpharma.com/facit-announces-investment-in-fusion-pharmaceuticals-and-alpha-emitting-radiotherapeutics/PubMed - Evidence-based medicine and problem-based learning at McMaster: https://pubmed.ncbi.nlm.nih.gov/31617018/ScienceDirect - Fifty Years on: The first problem-based learning programme at McMaster:

Have you felt your industry flip upside-down overnight? Pricing, launches, even the way people buy courses it's been a whirlwind. I've seen more change in the past few months than in years prior. And if you're stuck wondering how to not just survive, but actually grow right now, I've got you. I spent eight months experimenting, tweaking offers, and refining messaging until I stumbled on three powerful shifts that turned uncertainty into massive growth for us. Today on the podcast, I'm breaking down those three moves step-by-step and showing you exactly how to apply them in your business. Listen in and discover: • Why niching down to one specific problem outperforms broad, "big picture" messaging  • How the old course model is dying and what the new membership + AI hybrid looks like  • The AI trick that infuses your IP into a service people can't resist  • The secret psychology of hooks, open loops, and retention that platforms reward  • Real-world results like hitting an 18% webinar conversion with these shifts  If you've noticed plateaus, slipping sales, or just that "old playbook" isn't working anymore, this episode is for you. Tune in now, and if you get a win, I'd love an iTunes review to celebrate with you! Did you enjoy this episode? I'd love it if you'd share it on Instagram and tag me @iambrandonlucero! Thank you for supporting the show. Find me on: IG: @iambrandonlucero Facebook: https://www.facebook.com/IAmBrandonLucero  Website: https://www.brandonlucero.com 

Intrepid Metals is preparing for an active second half of 2026 as the company advances exploration at its Corral Copper Project in southeastern Arizona under new CEO Matt Lennox-King. Matt joins Mining Stock Daily to discuss the evolving geological model, why recent fieldwork has strengthened the case for a nearby porphyry system, and how the newly identified Curly target could reshape the project's exploration potential. The conversation also covers the upcoming IP survey, a 10,000-meter drill program, and the strategy to balance expansion of the near-surface CRD mineralization while testing deeper porphyry targets for the first time. With a refreshed technical approach and multiple catalysts on the horizon, Intrepid is entering what management believes could be a transformative exploration season.

Dubstep is one of those genres that, too many, feels like it simply showed up. But, contrary to popular belief, dubstep has one of the most interesting histories in all of music! Sure, most people heard dubstep for the first time when Skrillex came on the scene in 2011, but the roots of the genre go all the way back to 1940s Jamaica! Come along as we WUBWUBWUB our way through history from Jamaican independence through prolific dubstep music label, Disciple Records. This week's FT! was commissioned by our patron Zhakhix! This is the 10th FLAVOR TEXT they've commissioned and we are eternally grateful! You can commission your own Flavor Text right now at patreon.com/debatethiscast. We'll record an audio book report on whatever you want. Do you desire a two hour podcast about Below Deck or a different obscure IP? You can have that! Get all the details at patreon.com/debatethiscast. Recommended listening: Matt's playlist that we listen to in the post show: https://open.spotify.com/playlist/09pl6sz8fCoHucUP7O49uA?si=8d4856f4add2461f Zhakhix's Disciple Records playlist: https://open.spotify.com/playlist/4SHUZ4HmF3iar0KYh470GH?si=09304ffd46354376 Zhakhix's research doc: https://docs.google.com/document/d/1I4s8IeB-yoeW9zL7PLLRbjCIQ2FOW8FK2GN0Nq_deJc/edit?usp=sharing We will be LIVE at the Southern Fried Gaming Expo in Atlanta, Georgia July 31st - August 2nd! Come see our live show and get all the details at debatethiscast.com/live! Have you seen our Instagram? instagram.com/debatethiscast Have you seen our YouTube? https://www.youtube.com/@debatethiscast Want to send us an email? debatethiscast@gmail.com Music for Debate This! is provided by composer Ozzed under a creative commons license. Check out more of their 8-bit bops at www.ozzed.net! 

Xbox just laid off thousands, spun off four studios, and cancelled games it had defended a day earlier. Greg Posner and games-industry analyst Colan Neese take apart Microsoft's restructuring memo and land on an uncomfortable read: this wasn't a bad week, it was the bill coming due for a decade of running gaming as a lifestyle business.They dig into the losses (64 cents gone on every dollar spent), the decision to starve Minecraft to prop up everything else, the Game Pass numbers that never made the memo, and the blame pie: how much lands on Phil Spencer, and how much on CEO Satya Nadella. Then they split hard on the future. Colan makes the case that the fix is an ad-funded, one-to-one discovery engine. Greg goes down swinging for a different read of why players won't leave the games they already know.Two live games along the way: ranking Microsoft's biggest IP by revenue (and where the AI got it wrong), and an invest-or-sell round on Xbox's dormant franchises.In this episode(0:00) Cold open, and the week that broke Xbox(9:00) The layoffs and studio spin-offs: Avowed cancelled, a new Fallout greenlit(11:54) The memo: losing 64 cents on every dollar, and starving Minecraft(18:15) Phil Spencer, the "wayward son with a credit card"(19:07) Restructuring, and the Game Pass numbers that never got named(23:49) Colan's "script for Asha Sharma," and why Xbox is a distant fifth platform(29:24) The pitch: ad rev-share, the way YouTube pays creators(32:00) Game: rank Microsoft's biggest IP by revenue(37:35) Game: invest or sell Xbox's dormant franchises(44:49) The blame pie: how much is on Satya Nadella(49:56) The debate: is discovery broken, or are players just comfortable?(1:09:00) Games for Change NYC, and what's nextQuotablesColan Neese: "You lost 64 cents on a dollar, and you took from the profitable engine that was Minecraft."Colan Neese: "Ads are just content. It's just a different kind of content."Links and mentionsPlayer Driven: https://playerdriven.ioThe Operator's Briefing, our weekly newsletter: https://playerdriven.io/level-upJoin the community on Discord: https://discord.gg/GC5PkbKFHGames for Change, NYC, July 21AboutPlayer Driven Live breaks down the business behind the games every week, for the people who build, run, and rebuild them. Hosted by Greg Posner with analyst Colan Neese. If this is your kind of conversation, subscribe, and come argue with us in the Discord.

On this week's episode of the Massively OP Podcast, Bree and Justin talk about the huge Elder Scrolls Online layoffs, EverQuest Legends' paid beta, Aion 2's business model, PlanetSide's new owners (of the IP), and Fiesta Online's console plans. It's the MassivelyOP Podcast, an action-packed hour of news, tales, opinions, and gamer emails! And remember, if you'd like to send in your question to the show, send 'em in through our tips form. Now, listen to this week's show… Show notes: Intro Adventures in MMOs: LOTRO, GW2, Farever ZeniMax layoffs shake Elder Scrolls Online to its core EverQuest Legends starts its paid beta Aion 2 lays out its monetization plans Tencent buys the PlanetSide IP Fiesta Online is coming to console Outro Other info: Podcast theme: "Y'ffre in Every Leaf" from Elder Scrolls Online Your show hosts: Justin and Bree Listen to Massively OP Podcast on iTunes, Stitcher, TuneIn, iHeartRadio, Player FM, Pocket Casts, Amazon, and Spotify, or follow our uploads with RSS Follow MassivelyOP on Bluesky, Mastodon, Twitch, YouTube, Twitter, and Facebook

Erik Semmel, Vice President TAB Computers, Host of Computer Talk with TAB Saturdays 9-11am. Re: Waymo makes an arrest, College Econ Major who use AI to get an A in the Class, Apple sues OpenAI for stealing company IP, Oregon to Charge 30% more to companies who use 20 Megawatts or more, Bill Gates daughter called out for “Cookie Stuffing”

Nancy Guthrie is still missing six months later, but a separate criminal case connected to her disappearance just came to an end. A California man pleaded guilty to sending the Guthrie family fake bitcoin ransom demands while the active search for her was still underway. The reason people are angry is the outcome. His charge was pled down to harassment, capped at two years in the federal system, and he ultimately received five years of probation, with both counts running together instead of being stacked. Retired FBI special agent Jennifer Coffindaffer called it a travesty, warning the sentence could set a precedent that emboldens the wave of copycat notes still coming in — a group being called the TMZ Twelve, which the FBI has reportedly suggested are likely not authentic. Two separate notes are being treated very differently by investigators. One demanded four million dollars, threatened to raise it to six million, and warned Nancy would be killed. The other is an apology letter, sent only to local television stations, expressing remorse and calling her death an accident. Both are reportedly linked to the same IP address, which investigators consider one of the strongest leads they have. There's also the mystery of Porch Guy, someone connected to the case who hasn't been publicly identified or arrested, despite legal tools used successfully in other investigations that could help track him down faster. We break down the sentence, the notes, and where this investigation actually stands. New episode is up now — link below. Social Links & Legal Footer Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/ Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/channel/UC8-vxmbhTxxG10sO1izODJg?sub_confirmation=1 Instagram https://www.instagram.com/hiddenkillerspod/ Facebook https://www.facebook.com/hiddenkillerspod/ Tik-Tok https://www.tiktok.com/@hiddenkillerspod X Twitter https://x.com/TrueCrimePod This publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice. Hashtags #NancyGuthrie #RansomHoax #TrueCrimeToday #TMZTwelve #Bitcoin #FBIInvestigation #TulsaOklahoma #PorchGuy #TrueCrimePodcast #UnsolvedMystery 

Nancy Guthrie's disappearance is still unsolved after six months, but a separate case tied to it just wrapped up in court. A California man admitted to sending the Guthrie family fake bitcoin ransom demands during the active search for her — and the punishment he received has former investigators furious. His charge was pled down to harassment, which caps out at two years federally. The sentence: five years of probation, with both counts running together instead of stacked on top of each other. Retired FBI special agent Jennifer Coffindaffer called the outcome a travesty, warning it sets a precedent that could encourage the flood of copycat notes still coming in — a batch investigators are calling the TMZ Twelve, which the FBI has reportedly signaled are likely fake. Two other notes are being handled very differently by investigators. One is considered the real ransom demand — four million dollars, an escalating threat, and a final threat against Nancy's life. The other is an apology letter, sent only to local television stations, expressing remorse and calling her death accidental. Both of those, according to reporting, trace back to the same IP address, giving agents one of their only real leads. Then there's Porch Guy — a person connected to the case who hasn't been identified publicly or taken into custody, even though tools like highway checkpoints have worked in comparable investigations before. We go through the sentence, the notes, and why six months in, this case still doesn't have the answers everyone expected by now. Full episode is up now — link below. Social Links & Legal Footer Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/ Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/channel/UC8-vxmbhTxxG10sO1izODJg?sub_confirmation=1 Instagram https://www.instagram.com/hiddenkillerspod/ Facebook https://www.facebook.com/hiddenkillerspod/ Tik-Tok https://www.tiktok.com/@hiddenkillerspod X Twitter https://x.com/TrueCrimePod This publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice. Hashtags #NancyGuthrie #RansomHoax #HiddenKillers #TMZTwelve #Bitcoin #FBIInvestigation #TulsaOklahoma #PorchGuy #TrueCrimePodcast #UnsolvedMystery