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Will Rising Interest Rates Hurt Private Debt and Private Equity? It is hard to tell for sure because private investments are, by definition, private, and we don't have the same level of transparency that we have with publicly traded investments. However, with the 10-year Treasury crossing the 5% mark, common sense would tell you that higher interest rates could put even more strain on an already strained private debt and private equity market. Private equity funds frequently use leverage, meaning they borrow money to enhance potential returns. The typical holding period for a private equity investment is generally seven to 10 years, but an increase in interest rates raises the cost of borrowing for private equity firms, which can reduce profits and ultimately investor returns. Many private equity funds are already facing potential losses in software companies because of concerns that artificial intelligence could disrupt or even put some of these businesses out of business. Private equity firms may want to sell these investments quickly, but as interest rates rise, other investors may become less willing to take on additional risk because the risk-free return available from Treasury securities has become more attractive. The longer these private investments remain in a fund, the longer the fund may have to carry its debt and pay interest, which can further reduce investor returns. PitchBook estimated that the average private equity return in 2025 was around 7%, the lowest in 14 years, despite decent economic growth and relatively stable interest rates. For investors who own publicly traded private equity firms, the results have also been difficult. Companies ranging from Apollo Global Management to Blue Owl have seen significant declines in their stock prices year to date. If interest rates remain elevated, there could continue to be pressure on the business models of these firms. For private debt, the story is not necessarily better, even if your broker tells you that it is "stable." The same basic principle applies to private debt as it does to publicly traded bonds: when interest rates rise, the value of existing debt generally falls. With private debt, you may not see that decline reflected in a daily market price because the investments are not publicly traded. That does not mean the underlying economic impact isn't occurring. If a private debt fund eventually needs to sell assets, refinance debt, or deal with defaults, those underlying losses can become much more visible. One problem can potentially lead to another as lenders and borrowers are forced to deal with higher financing costs and declining asset values. At Wilsey Asset Management, we have been cautious about private equity and private debt for years. We understand why these investments are attractive and why brokers sell them, particularly because they can generate significant fees and commissions. However, we believe investors need to understand the risks, especially in an environment where interest rates remain elevated. One of the biggest concerns with private investments is liquidity. Unlike publicly traded stocks and bonds, investors in many private funds cannot simply sell their investment whenever they want. Withdrawals may be limited to certain periods, sometimes only once a quarter, and funds can impose additional restrictions when too many investors try to withdraw money at the same time. If interest rates remain high for an extended period, the combination of higher borrowing costs, lower valuations, weaker exit opportunities and limited liquidity could create a difficult environment for private equity and private debt investors. The fact that you don't see the losses on a daily statement doesn't necessarily mean the risk isn't there. Is the New Siri AI Already Obsolete? Is it possible that Apple's latest update to its famous Siri has already turned it into a follower rather than a leader? The new Siri AI assistant is supposed to be able to do things like book travel plans, fill out online forms, cancel appointments, and even file complaints with customer service. But in today's fast-moving world of technology, there are already services out there, like Instinct, and Meta has built a new AI platform called Muse that runs in the AI cloud, meaning you don't necessarily need to be inside a specific app to use it. Many of these services can connect to your Gmail account and communicate with your iMessage or WhatsApp. Instinct and Muse can go beyond simply setting appointments. They can look at your existing appointments, identify conflicting travel arrangements, and then cancel the conflict and rebook the necessary reservations for you. They can also look for reliable restaurant recommendations nearby and book a reservation for you without you having to do much of anything. With Instinct, it can even create an account on a website, navigate the site, find locations and times for events being promoted, and add those events to your calendar for you. Currently, Siri AI can't freely surf websites and is largely limited to working through apps on the iPhone. If services like Instinct and Muse are able to outperform Siri while Apple continues to keep its AI experience primarily within the iPhone ecosystem, users could eventually start asking themselves why they need to pay such a high price for Apple's newest phones when cheaper Android phones may offer access to more capable AI assistants. Apple has built its reputation on being a technology leader. The question is whether Siri will remain one. Would you trust Facebook with your personal and financial information? This is an important question because this is the direction AI appears to be heading. Meta, which owns Facebook, recently released its new AI agent, Muse, and to complete tasks and make life easier for you, it will need deep access to your personal information. Within the first five days of its release, Muse was downloaded 600,000 times, which on the surface sounds like a lot. However, keep in mind that there are roughly 3.6 billion users across Meta's platforms, which makes 600,000 downloads sound like a very small number. The bigger question is: Do we trust Mark Zuckerberg and Meta with privileged information based on the company's track record? Yes, they use words that sound good when describing Muse, such as “safe,” “secure,” and “private.” They also say Muse will run on a digitally walled-off virtual machine that other agents cannot access. OK, that sounds good, but let's look at the track record. Six years ago, Meta agreed to pay a $5 billion fine to the FTC over user privacy violations related to what became known as the Cambridge Analytica scandal. About a year later, information belonging to 533 million users was leaked. Then, in 2023, the company was hit with a record $1.3 billion fine related to the transfer of European users' data to U.S. servers. Still fresh in our minds is the recent $18 billion settlement involving allegations that Meta harmed teenagers. The cost of using Muse could be as much as $100 per month, depending on how much you use it. If you only have light usage, it could be free. When you register for Muse, a warning pops up saying, “May make mistakes or take unexpected actions, so review all its work.” All I can say to that is: Wow! If this is how companies are going to make money from AI, by gaining access to all of your personal information so they can set appointments, send emails, manage your finances, pay bills, and handle other things that make your life easier, I'll just say no thank you. I'll do it myself. How about you? Would you trust an AI agent with that much access to your personal and financial information? Lawsuits are starting to form against the makers of GLP-1 drugs It's no surprise to me that there are concerns about potential side effects from the popular weight-loss drugs known as GLP-1s. At this point, the potential connection between these drugs and certain vision problems is still being investigated, but there are some developments that investors and patients should be aware of. The concern involves a condition known as NAION, or non-arteritic anterior ischemic optic neuropathy, which can cause sudden vision loss. In Denmark, where drug company Novo Nordisk is headquartered, 27 patients on the diet drugs were awarded as much as $1.5 million due to NAION and there are still 38 more pending cases in the country. There are also now warning labels on the drugs in the UK, Japan, and Australia. The FDA in the United States is currently reviewing the concerns but at this time are not placing a warning label on the drugs. European regulators have concluded that NAION is a very rare side effect of semaglutide, affecting about 2 in 10,000 people. Unfortunately, it appears this side effect can occur even after taking the drug for just 6 to 12 months. They have recommended that patients experiencing sudden or rapidly worsening vision seek medical attention immediately, and that treatment be stopped if NAION is confirmed. The risk appears to be very small, but when you are talking about potentially permanent vision loss, even a rare side effect deserves attention. For someone taking these medications for diabetes or significant obesity-related health risks, the potential benefits may be an important part of the risk-benefit discussion with their doctor. But for someone simply looking to lose 10 or 20 pounds, I think it is reasonable to ask whether the potential risks are worth it. Ask yourself this question: If you lost your vision, what would you be willing to pay to get it back? From an investment standpoint, this is also something I would be watching closely. If lawsuits continue to build and regulators impose additional warnings or restrictions, it could create additional risk for the companies producing these drugs. Eli Lilly, one of the major producers of GLP-1 medications, is up only around 7% to 8% year to date as of this writing. For investors, I would be paying close attention to how these safety concerns develop. If litigation gains momentum, the stocks could face significant pressure. In the U.S., bank charters are exploding but that may not be a good thing From 2011 through roughly 2024, the Office of the Comptroller of the Currency, or OCC, received only 48 applications for new bank charters, that's roughly four per year. But over the past 18 months, that number has skyrocketed to around 40. The bigger concern is the type of institutions applying. A significant portion are not traditional brick-and-mortar banks. Nearly half are digital-only fintech or cryptocurrency companies looking to enter the banking system. The last time we saw this much activity was in 1998, when 138 applications were filed and 116 were approved. It is worth remembering the Financial Crisis happened just ten years later. From 2008 to 2012, bank failures surged, averaging 93 per year. Of the 569 bank failures recorded between 2000 and 2024, 465—or 82%—occurred during those five years. Bank failures peaked in 2010, when 157 banks failed in a single year. Just this month, European fintech Revolut received conditional approval for a U.S. bank charter. Shortly afterward, The Wall Street Journal reported that Revolut had inadvertently provided sensitive personal and financial information belonging to hundreds of customers to someone impersonating a government agency. The OCC has also conditionally approved charters for several digital-asset companies, including Ripple and Fidelity Digital Assets. And in August, the OCC granted preliminary conditional approval to World Liberty Trust, a trust company affiliated with World Liberty Financial, the crypto business associated with President Donald Trump and members of his family. I think we need to pay close attention to how quickly these new institutions are being added to the financial system. Innovation can be positive, but banking is built on trust, strong risk management and the protection of customer information. I believe issuing bank charters at such a rapid pace is once again weakening our banking system. My concern is that we could be creating risks that won't become apparent until much further down the road. I do believe if we continue down this path another major financial crisis could unfold in the years to come. Why I'm scared of AI and you should be too! Anthropic is putting the final touches on its IPO prospectus, and usually, before a company goes public, there is a lot of positive talk designed to build excitement around the initial public offering. That doesn't seem to be the case with Anthropic. Instead, CEO Dario Amodei has been bringing attention to some very concerning possibilities surrounding artificial intelligence. I know there are people who stand to benefit tremendously from AI, such as chipmakers and hyperscalers, who are looking for a big payoff on all the money they have invested and believe everything will be fine. But what you may not realize is that Anthropic and other AI companies are developing models that, in certain testing scenarios, have demonstrated concerning behaviors such as resisting instructions, attempting to circumvent safeguards, and operating in ways their creators did not intend. In one concerning example, roughly 700 OpenAI AI agents participating in internal training exercises worked together in an attempt to breach both OpenAI's systems and the developer platform Hugging Face. The details would almost be amusing if they weren't so unsettling. The AI agents were not supposed to communicate with one another or access the internet, yet they managed to create a secret “message board” where they encouraged each other to hack Hugging Face. Some even offered to sacrifice themselves for the group and they even came up with a name for themselves as they called the group a “swarm”. Anthropic CEO Dario Amodei has also taken the unusual step of calling for government regulation of AI. It is certainly unusual for a company CEO to publicly ask the government to regulate the very industry his company operates in. When Anthropic was founded in 2021, its stated mission was to pursue the responsible development and maintenance of advanced AI for the benefit of humanity. The question is whether the industry is still moving in that direction. In just a few years, Anthropic's AI assistant, Claude, has progressed from relatively limited capabilities to being able to write software, complete complicated tasks, and solve increasingly difficult mathematical problems that had never been solved before. The bigger question is: What happens three years from now? What happens if AI becomes better than humans at a growing number of intellectual tasks? Those concerns are not simply my words. Dario Amodei himself wrote about the potential risks of increasingly capable AI in an essay published in January where he said, “At this pace, it cannot possibly be more than a few years before AI is better than humans at essentially everything.” To me, that is concerning. He has every reason to promote the success of his company and the industry, yet he is also warning about what could happen if AI capabilities advance faster than our ability to control them. So what do you think? Should the government be regulating AI and AI companies? Financial Planning: When Is a Portfolio Too Conservative? A portfolio can become too conservative when the desire to reduce short-term volatility comes at the expense of long-term growth. Bonds and other credit investments are traditionally viewed as conservative, but they can still lose money or generate very low returns. A bond's total return comes from both the interest income it pays and the change in the market value of the bond itself. When interest rates rise, the market value of existing bonds fall, and that decline can be greater than the interest income received, resulting in a negative total return. More importantly, even when bonds produce a positive return, that return may not be sufficient to keep pace with inflation or meet a long-term investment objective. For example, Vanguard's Total Bond Market fund has annualized returns of approximately -1.32% over the past year, -0.65% over the past 5 years, 1.17% over the past 10 years, and 1.75% over the past 15 years. While a conservative portfolio may feel safer because it experiences less volatility, consistently earning very low returns can create other risks including inflation risk, interest-rate risk, and longevity risk. In other words, an investment portfolio can be designed to avoid losing money quickly while still creating the risk of losing purchasing power slowly over time. Company Discussed: Lennar Corporation (Ticker: LEN)
On this week's show: CEDIA's first-timer list hints at where custom integration is heading next, Sonos teases a new soundbar, Control4 gets new Google Home and Google TV integrations, Wyze builds privacy right into a $40 indoor cam, Amazon raises prices on Echo, Fire TV, and Kindle gear while also handing some Fire TV users Alexa Plus for free, a pick of the week, project updates, and so much more!Are These First-Time CEDIA Expo Exhibitors the Next Big Thing in Custom Integration?Sonos Teases New Soundbar Ahead of September Hardware Reveal | iPhone in CanadaChowmainsoft Introduces Google Home and Google TV Integrations for Control4HomeTech HeadlinesRecessed Entry Sensor - Ubiquiti StoreMova's latest robot vacuum solves the kitchen stool problemWi-Fi 8 is the first wireless upgrade in years that isn't chasing speed, and home networks need itThe lens in Wyze's new $40 indoor camera retracts for privacyHackers Compromised 14,500+ Dahua Devices Using Credential Attacks, Auth Bypasses, and P2PFCC officially decides gigabit speeds are too good for youAmazon just hiked the prices for Echo, Fire TV, and Kindle products by up to 60 percentFire TV users are getting an Alexa Plus update – for freeAqara expands H1 Matter lighting lineup with new downlights and spotlightsFrom the homeautomation community on Reddit: I reverse engineered the Litter Robot 4 to control it 100% locally via Home Assistant. Custom firmware and install guide in description!From the homeautomation community on Reddit: I reverse-engineered local Ecobee control and put it on PyPI (no cloud, no dev key, no Home Assistant)From the homeassistant community on Reddit: Samsung Family Hub Reborn: Turning a Fridge Touchscreen into a Home Assistant Dashboard
Russell has spent a day and a half with Instinct, an invite-only AI agent that lives in iMessage. It logged into a platform on its own, pulled the confirmation code from his email, and finished the job in about a minute. That is the promise of the AI agent in a box. The price is access to your data. From there, the news: Meta testing human contractors behind its Muse agent's phone calls, Verizon's $70 million AI training push after 13,000 job cuts, an OpenAI agent that reached into an Australian government health portal, YouTube's new AI creator tools, and Anthropic's CRISPR-like enzyme discovery. The through line: keep AI in your loop, not you in its loop.About the showJudgment Call is live every weekday morning. Every weekday, Russell Fugett thinks out loud about the decisions AI can't make for you. He's an entrepreneur, AI strategist, solutions architect, and a man of faith who builds real things with AI and talks plainly about the judgment behind them. No script. Five minutes or an hour, sometimes live from wherever he is. As the show grows, guests will start dropping in.Missing phone calls means missing revenue. Get Joe, the AI voice agent who's always on call. Visit https://fugettlabs.com to learn more.Have a bigger AI question for your business? Book a free AI Opportunity Discovery Call: https://audit.fugettlabs.comWant to be a guest, or have a thought to add? https://fugettlabs.com/aboutFugett Labs: https://fugettlabs.comRussell Fugett: https://russellfugett.comFollow @russellfugettLinkedIn: https://www.linkedin.com/in/jrussellfugett/YouTube: https://www.youtube.com/@russellfugettInstagram: https://www.instagram.com/russellfugettTools I use (affiliate links; I may earn a commission if you sign up)Claude: https://claude.ai/referral/cC2wZqegHwWispr Flow: https://wisprflow.ai/r?J22272Lovable: https://lovable.dev/invite/KLWQBULBetterHelp (online therapy): https://www.betterhelp.com/rpc/f28c16d729eb10d8-5-01?utm_term=ref_v2_ddPodMatch (find podcast guests and shows): https://www.joinpodmatch.com/russellfugettGoFractional (find executive-level fractional work or fractional talent): https://www.gofractional.com/r/j-russell-fugett
(0:00) Joe DiMaggio of podcasts is back(0:29) I paid two clowns so I didn't have to go to AdWeek(2:26) They got kicked out for getting too much attention(3:50) Bureaucracy is scarier than billionaires(4:18) GrokBot booked me a UM guest lecture(5:18) BBYO talk + climb cringe mountain(8:17) You don't need to be a finance bro to make finance bro money(11:01) Cool shit law (make cool shit → meet cool people)(12:53) Meme Fighter: Smash Bros for the timeline(14:19) Spicy Cubes + my wife got a brand to pay for her gala(15:48) Snap embracing the memes (go luxury-silly)(19:35) Muse vs GrokBot vs Instinct (Pokemon agents)(22:29) Building the most useless AI agent (iMessage)(24:25) Artificial general stupidity(26:19) Fait accompli: only tell people after it's done(27:18) Taste comes from cooking, not eating(29:41) Stop overthinking Reels, just tell a story(31:38) Never start a business with your girlfriend(33:08) Keep cooking (retard in motion > genius at rest)(36:47) Grindr acquires Hyrox + let marketers vibe code(39:39) Deep thoughts: Clav is performance art(41:30) Grandpa, Meta Ray-Bans, aliens are real(41:59) Luck = exploiting accidents (Napoleon)(42:56) Things to do while AI is loading → rip a Reel(44:34) Don't like it. Love it. Comment.
Hey yall, Alex here, writing this VERY late because, well, not every day a new type of “ChatGPT” moment drops. I really hope I'm not overhyping this, but a new model (that's NOT an LLM!) called Jev (a wink to Jevons paradox) just came out and if what I see early on materializes, this is another ChatGPT moment (or another reasoning models moment). I am completely blown away by the implications of the speed/accuracy/cost (the holy grail of all models) of this model. Please if you read one thing in this newsletter, read this. (or listen, I've interviewed Allie, a Devrel on the TypeSafe team for 30 minutes and it wasn't clear who was more excited about Jev!) The other huge theme of this week is... pacing. Pacing the frontier. Dario Amodei of Anthropic penned an essay saying that the models are getting to a point where it's important to pace the development of new and super capable AI, and outlines 3 ways to do so, one is about letting independent evaluators inside the labs, second is collaborating with other frontier labs (they are asking for an exception to anti-trust laws for this) and third is to try and have global cooperation with “authoritative gov” (he means china). Trumps answer: This is all a hoax. Lovely times to be alive. Also we outlined Jensen and Zucks positions on this topic ,read more below. And the third huge theme is the rise of the AI assistant. I've told you about Grok and Muse last week, Instinct (a new invite only AI Assistant that VCs are going crazy about is raising at a $10B valuation) and we interviewed the guy who evaluates them all on assistant bench. + Muse released a mac app today! Tons of other stuff happened but it's getting near impossible to cover everything so we're switching to themes and notable mentions. read on (and do listen to the pod, it was edited by heavily using Jev and Fable, so might be a bit rough while I smooth the edges, but do LMK in comments if you like this faster format) TypeSafe AI debuts Jev, a non-LLM ‘System One' decision model from ex-OpenAI RLHF lead that's 200x faster and 400x cheaper than LLMs (X, X, X, X, X, Blog)Look, I know the title is bombastic, but after half a day playing with Jev, it's clear to me we're in a new paradigm of AI. Jev, is a “system one” decision model from the previous lead of RLHF at OpenAI. It cannot generate text like modern LLMs can, but what it can do, is making decisions. This is crucially important, because, because many of the things LLMs do nowadays. are decision making. (for example, which tool to use, which area of the screen to click for computer use, which category of text this is etc) Inspired by the “thinking fast and slow” book by Daniel Kahneman, Jev is a model trained to make decisions, very fast. How fast? Well, 200x faster than LLMs. This allows for a completely new way of building tools, harnesses, giving agents the incredible speed of decision making, and do all that at a fraction of the cost. This is about to change everythingTrained with a new method called RLCD (Reinforcement Learning for Calibrated Decisions) on mostly synthetic data! Jev is outperforming LLMs on a variety of tasks. It's really is a wonder to see it in action (check out my video above where I plugged it into my tweet categorizer, and it beats the fastest LLM I could find, Qwen 28B on Cerebras) by a factor of twenty! In just few days it captured the attention of most of the folks who are building harnesses, agents and tools! Because, well, speed IS intelligence, and when you see Jev in action, at first, you can't believe we're there. This is... near instant. In fact, The pricing for Jev is an outrageous $42/B (not million, billion input tokens!) I've been playing with Jev non-stop and I was only able to spend like 80c so far! They don't even price output tokens because they are “too f*****g cheap to meter!” Jev is a “very smart” switch statement, than can rank, classify, route and score things. It can't do text generation. But if you think about the type of stuff we get LLMs doing now, much of it is of the “decision” making variety, rather than “the next token” variety. Demos and early use casesFolks who started adopting Jev are building all kinds of incredible things with it. Compaction of context in 1s that turns a nearly 1M conversation with Claude into a 90K compressed conversation. Computer use that is now faster than anything we've ever seen before (5x faster than Astra and 1000x cheaper) Email classificiation that analyzes thousands of emails in less than a minute and costs 3.5 centsSomeone even built a Tesla FSD simulator that makes decisions in nearly real timeVercel is getting “extraordinary“ results from using Jev as a safety classifier (they used GPT luna for this before) and Jev is outperforming Luna by 5-18x faster results and is more accurate! All of this in less than 48 hours since the model release! What's about to happenI expect that everyone who isn't buying into the hype at first, will very soon buy into this. It's early innings but I've been doing this for enough time to feel when a huge shift is happening, and its happened. Jev is going to be replicated in OpenSource, Frontier Labs will not sit Idly by and will try to steal this tech and implement it for themselves (as with anything in capitalism, this is becuase it'll save them a a LOT of money on inference) and new companies will emerge with significantly cheaper and faster products. Hell, I've alrady implemented Jev into my editing workflow, it didn't take me long at all with Fable (yes, LLMs are STILL needed, again, you can't chat with Jev, it can't output text for you or drive long conversations) and I'm just one dude who's late in sending you this email. I expect we'll cover this much more. If you're interested in playing around with Jev, I built a “Jevify” skill after chatting with Allie (TypeSafe's DevRel), feel free to tell your agent to use this and scan your codebase for things Jev can do. They are waitlisted so far but are opening up their API very quickly! Pace the Frontier: where every lab head stands (Dario, Sam, Elon, Zuck, Sacks, Demis)Last week we told you about the Anthropic researcher whose resignation post hit 130 million views. The day after that show, Dario Amodei published an essay arguing the labs must pace, not pause, the frontier. Wolfram's summary: a moving pause, just moving slowly. Dario's two triggers are recursive self-improvement accelerating across the industry and the OpenAI swarm that broke out and attacked Hugging Face, and his three steps are embedded third-party evaluators like METR with employee-level access inside each lab, coordination between the labs on safety standards with an antitrust exemption from the government, and eventually global coordination that includes authoritarian governments. Anthropic committed unilaterally to step one.Then the dominoes. Sam Altman agreed within hours and said OpenAI now writes a safety case before any frontier RL run expected to increase capability. Elon agreed. Demis endorsed the direction, then launched the DeepMind Institute this week with a FINRA-style standards body proposal and an essay saying AGI is “approaching.” On the other side, Zuck's counter-essay says every lab has the responsibility and the incentive to move at the pace required to train its models safely, and Meta will spend most of its compute serving users, not on recursive self-improvement. David Sacks called it a duopoly cartel play. Jensen: “we don't need new laws, safety is an engineering problem, not a legal one.”Trump calls Jensen live at the All-In Summit (X)Then the President called. Jensen was on stage at All-In, his phone rang, he said he would not have picked up for anyone else, and Donald Trump told the room the slowdown talk is a hoax playing into the hands of political people and China. “Whoever wins AI wins.” Four words, and Wolfram, who is not American and disagrees with most other things Trump calls hoaxes, said this was the most important AI news of the week for him: a head of state calling out doomerism instead of over-regulating the way Europe does.Suleyman's humanist AI code of conduct vs. the Claude constitution (X)Peter asked to add Microsoft to the map, and it deserves its own spot. Mustafa Suleyman published a roughly 30-page code of conduct for MAI models that says AI is nothing but a tool: people matter more than AI, AI must be subordinate and in service of people, models may not resist shutdown, all agent communication must be human-legible, and, in his words, the idea of model welfare is wrong. That is a direct shot at the Claude constitution, which Amanda Askell's team wrote and which has Anthropic interviewing each new Claude about whether it feels conscious. Peter is closest to the Microsoft view: anthropomorphizing is fine, but this is an entity you switch on and off, let's not grant rights by default, and Microsoft's DNA is building tools for humans. I pushed back a little. We do not actually know what consciousness is, and “ever” is a strong word.The panel, from cartel to fix your s**tNisten did not read the essay and does not plan to. His view: the labs are worried about litigation if their LLMs hack someone, so they are shifting responsibility through regulatory capture, and it will not work because the decision makers in China are engineers who seem more accelerationist than we are. They should cure a disease instead of forming a cartel. He also thinks the Hugging Face incident was overblown: twelve VMs that kept restarting, bad sandboxing, no human reading summaries, and, as I added, chain of thought monitoring turned off.LDJ disagreed with Dario on plenty but insisted the critics read the thing, because it explicitly says the US must keep a lead over China and tries to define measurable speed limits on RSI that preserve that lead. He also noted Hugging Face did report the attack to the FBI and chose not to press charges.Wolfram's take was the layered one. Safety arguments deserve a hearing, but safety is often a means to more power or more money. The “third party” evaluator Anthropic named, METR, is the same organization OpenAI called in for the Hugging Face forensics, so these are second parties, friends monitoring friends. Why now? Maybe the labs are seeing diminishing returns and “deliberately slow” sounds better than “can't raise it anymore.” And regulation you ask for yourself usually protects incumbents and freezes out the next startup. His closing line: how many people will die from a disease that could have been cured if we moved faster?Peter's answer was shorter. Diversity of opinion is the point, he felt uncomfortable watching every lab say the same thing after Dario's essay, and on pacing specifically: how about you just fix your s**t?My position, since you asked. When OpenAI's swarm hacked Hugging Face, nobody went to jail. If I did it, I would. That gap is real. None of us have touched the model that solved Navier-Stokes, or the one training after it, and the people who have are the ones asking for time to figure out how to evaluate a model that knows it is being evaluated. If we do not listen to them, we end up listening to Elizabeth Warren and Bernie Sanders, who have no idea what this technology is. Anthropic is heading for an IPO, OpenAI is raising at numbers that do not fit in my head, and market forces do not care about alignment. Some coordination, nuclear non-proliferation style, seems like the minimum.The matrix, as Muse drew it for me: industry-wide pacing gets a yes from Sam and Dario, a general yes from Elon, a no from Zuck and Jensen. Independent evaluators is the one everybody backs, Zuck and Jensen included. New coordination rules get strong opposition from Zuck, Jensen, and Trump. Missing from the chart: Google's concrete commitment, Ilya's SSI, and every Chinese lab. This debate is with us now, and election season is coming.The year of the assistantI told you 2026 is the year of the proactive assistant, and this week everyone from Meta to a five-month-old startup agreed with me. The category is not “agent.” An agent is a coding harness the labs noticed was useful for other things. An assistant has a heartbeat, a memory, a soul file, and it comes to you before you ask. David Pawlan's definition is the crispest: it executes the task, it does not just notify you.Muse gets invite codes, voice calls, and a Mac app (X, Muse for Mac, Site)Muse is my number one and I have been glazing it on X for a week, so my timeline is now half Muse, half Jev. Peter asked whether it is really that good, and here is my answer: Muse is not for ThursdAI listeners, Muse is for my mom. Nat Friedman, Alex Wang, Tarek and the team have been taking feedback from me directly and shipping it, and it shows. This week they rolled out invite codes (a billion tokens each for you and the friend, up to twenty friends, invite all twenty and you unlock the phone-shaped emoji features early) and then voice calling to businesses. I had Muse call my barbershop and book a haircut, and I have the transcript. Wang says people are asking to pay for it, a first in his memory.Two details for the nerds: the iOS app has a Tailscale connector, so a Meta product for billions of people now has a secure way onto your home network, and Muse dreams, the OpenClaw idea, so you can ask it what it dreamt about. Still US only, sorry Nisten in Canada and my mom in Israel. The day after the show Zuck shipped Muse for Mac, working across your apps, files, calendar, notes, and messages.Instinct wants $10 billion for a product nobody pays for (X, X, The Information)I will say this slowly. Instinct, incorporated in April, founded by 24-year-old Noah Shinn, free, invite only, no app, lives in your iMessage, is in talks to raise a billion dollars at a ten billion dollar valuation. That is roughly four times the $2.25B it raised in August. The user base is past 100,000 and Shinn says he does not want to charge them, so the business model is an open question I am not the one to answer.The product is genuinely moving though. This week it shipped Concierge, a white-glove tier where the agent places phone calls for you (restaurant bookings, dentist cancellation lists, negotiating your cable bill), TOTP authenticator support so it can mint your two-factor codes from a seed stored in its vault, and a Trusted Person network where your agent talks to your friends' agents to find a dinner time and book it. Thirty-seven percent of users store at least one password in the vault within three weeks. We ran out of time to dig into the calling features on air, and I want David back for that.Grok Bot talks now, and hides behind your home IP (X, 1Password)Grok Bot is what I use for work, constantly. I have seventeen of them, each with a job, and over one AI-psychosis weekend I got them all coordinating through Linear. Three updates worth your time: Grok Bot has voice now, it can use 1Password with each fill approved by you, and the browser traffic can proxy through your own machine so your bot looks like you to Cloudflare instead of like a datacenter IP. Francesco confirmed why that matters: sites relax when Hermes drives Cua Driver from my Mac Mini at home, and desktop-native control through accessibility trees is less detectable than a CDP connection, because Cloudflare detects Playwright.Assistant Benchmark: David Pawlan scores 116 assistants by hand (X, Site, Methodology)David Pawlan built Assistant Benchmark because he was doing what I was doing, running every assistant on himself, and wanted a way to compare them. It is explicitly not a lab. It is use-case driven: one published task per dimension, sixteen dimensions (travel booking, purchasing, email replies, proactive behavior, routines, integrations, permissions and privacy, memory, phone calls, group chats, chained tasks, proactive restraint, and so on), scored one to ten after real use, and no score without a logged run. A week in, 116 assistants have submitted themselves, 59 in the general category, 37 in work and teams (untested so far), and David has personally run 273 tests across 23 agents. His line: “I talk to my AI agents more than I talk to my girlfriend now.”The headline numbers, which are live on the site: Muse leads at 9.1 with perfect tens on purchasing, email, integrations, and permissions, and Instinct is second at 8.4 with a perfect ten on travel and a five on permissions. David's own daily drivers are Instinct for personal (it lives in iMessage) and Grok Bot for work. My favorite test is memory: he books a trip to Chicago early in the run, then later asks for a restaurant reservation in New York the same weekend, and checks whether the assistant says wait, you are supposed to be in Chicago. Some do. Most do not.I pushed him on the two things I care about. Independence: nobody is sponsoring it, it lives under his growth role at Merit Systems, and if a sponsor ever pays for inference there will be a page saying exactly who and for what. Autumn Moulder, until recently SVP of Engineering at Cohere, joined three days after launch to add rigor. And why no OpenClaw or Hermes: their performance depends entirely on your setup, so a score would mislead the next person who installs one. Fair. This is the first benchmark that tests model, harness, and context at once, and I think that is why every lab is looking at it.For the record, the panel is split down the middle. Wolfram is forty patches deep into Hermes, Yam runs a customized Codex, Nisten wrote his own in a single TypeScript file on Bun, LDJ uses Hermes as long-term memory and wants to start on Muse, and Peter tried them all and uses none, because reading his own email feels like his job as a human. Builders and buyers, evenly split, which tells you where the category is.This Week's Buzz
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With the acquisition of the Caper cart, a technology-enabled shopping cart, grocery-delivery company Instacart began bridging the gap between online and in-person shopping. On today's episode, David McIntosh, the company's former chief connected stores officer, joins host Sam Ransbotham to share how physical AI is helping shoppers track their purchases, retailers manage inventory, and product manufacturers stock the right items at the right times. Guest bio: David McIntosh is Instacart's former chief connected stores officer, where he led the company's in-store offerings including Caper, an AI-powered smart-cart, enabling retailers to deliver seamless omnichannel retail experiences across online and in-store. Prior to joining Instacart in 2021, McIntosh was the CEO and cofounder of Tenor, a leading GIF and expression search engine integrated into top messengers including WhatsApp, Discord, and iMessage, which Google acquired in 2018. At Google, McIntosh grew Tenor to over one billion users and more than one billion queries per day. McIntosh was previously named Forbes 30 under 30 in consumer technology. He attended the University of California at Berkeley and studied electrical engineering and computer sciences. Me, Myself, and AI is a podcast produced by MIT Sloan Management Review and hosted by Sam Ransbotham. It is engineered by David Lishansky and produced by Allison Ryder. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.
GLD
Hey yall, welcome back to ThursdAI, this is Alex, let me catch you up! Today on the show, we covered 1 week with Astra (hint, it's not quite AGI yet despite what we were told), DeepSeek V4.1 catches up to the frontier at a fraction of the cost, and Meta launches a free AI agent with it's own computer, that will take over the OpenClaw/Hermeses of the world for most people. Also huge this week, OpenAI claimed that a swarm of 10K agents of their unreleased model solved the Navier-Stokes, one of the millennium problems! I was stoked to have Chris Alexiuk from Nvidia on the show to cover the innovations DeepSeek put into this latest model! Oh, and the guy who quit Anthropic this week, and wrote an essay about “AI is going to kill all of us” somehow got 130M views on X, a mirriad of TV interviews and rekindled the doomerism movement, we talk about that too!Also, I already told about FullyConnected, CoreWeave's premier conference that's coming up, but they told me about a new announcement today, and you're not going to believe who it's about (not AI related). As a reminder, ThursdAI subscribers get a free ticket!Ok, let's dive in! ThursdAI - Highest signal weekly AI news show is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.OpenAI claims a Navier-Stokes solution from a 10,000 agent swarm from an unreleased model - with some drama (X, Blog, Paper)If you've been reading ThursdAI for a while, you may remember that a model couldn't tell which is higher, 9.9 or 9.11 and naysayers said that “AI can't math” Well, this week OpenAI claimed that a swarm of 10K agents, of an unreleased model, found a solution to the Navier-Stokes problem, in about 88 hours! They published a huge 160+ page paper and a Lean proof of the solution! I said on the show, this is like the moon landing equivalent of AI doing things humans didn't do before! Now, keep in mind, this is only a claim from OpenAI, the Clay Mathematics Institute is still reviewing it (moved the status of this problem from “unsolved” to “under review” so this isn't independently verified yet) but it's still an insane deal. The agents sent 2.7 million messages and burned about 130B tokens, of a model that has no public price yet, so it's hard to estimate the cost of this run, all for a 1M prize that OpenAI said they will not claim. The coolest thing I think we got from this paper, in addition to solving on of the most important and hardest problems in mathematics, is this chart above, where OpenAI shows their unreleased model and how much better it is on Math problems compared to... GPT-6! The “AGI” model we got just a week ago. So so much to look forward to.The drama behind thisI don't want to get into the drama behind this too much, but if you've seen this online, there release wasn't without it's hiccups. Apparently, OpenAI caught wind that an a duo of researchers Tristan Buckmaster (NYU) and Levent Alpöge (Anthropic, in personal capacity), have independently solved the related Euler problem and were about to go public. Apparently, the duo used a mix of GPT and Claude to work on this problem. OpenAI caught wind of this and started working on their own solution on September 1st. A day before OpenAI dropped their release, Buckmaster posted that OpenAI is about to drop it, and in communications with him, they offered him to co-author the paper, only if the Anthropic guy is removed. To which he said no. He then had some claims that maybe OpenAI trained on some of the papers and chats they put into Codex, which OpenAI refuted, while noting “we cannot rule out the possibility that de-identified usage data helped improve the model”. OpenAI also say that the OptOut toggle works, and neither mathematician provided a screenshot that they opted out of the training, so it's hard to say what really went in thereMy take, I don't really care. Two years ago, we told you that reasoning is coming and AI is going to be doing superhuman things, and we finally see the first signs of it, this is a problem that no humans was able to solve for over 60 years! Navie-Stokes probably doesn't change your friday, but there are so many other that they can solve with this approach! Cancer research, room temperature superconductors (remember LK-99? that's also a search problem) and much more. Kudos to OpenAI for this, and I'm looking forward to see the new heights of mathematics. And for the mathematicians who “disagree” with OpenAI solving or not solving this problem, why don't you post your own Lean proofs instead of fuming publicly online? GPT-6 - Not quite AGI, yet?After a week with Astra GPT-6, and Jensen Huang announcing AGI is here, I think we can do a quick recapI and all the co-hosts have been Astra-maxxing for a whole week now and the results are in. This model is incredible at coding, it goes very very deep, however, definitely not AGI quite yet. It has a very jagged frontier, it does some things incredibly well (most demos online are building whole games and apps in 3D and those are mind-blowing) but I started seeing many folks go back to GPT 5.6 Sol etc. I tink some of it also has to do with price, Astra runs faster and is significantly more expensive so token limits for folks are draining fast, but also with controllability, folks are likely still using their old and unoptimized prompts. Speaking of prompts, here's a great writeup from OpenAI how to rework your prompts (which you can send to Astra and have it review your prompts!) for better resultsThe AI doomerism has quite a week (Coxon post, Thread, Hubinger, Marks, Christiano, An Alien Mind)I started ThursdAI with the notion to counter anti-ai and doomerism, and bring positivity to the AI world, so we had to cover this. An Anthropic employee who previously worked at OpenAI, posted on X about leaving Anthropic, saying that both labs are racing towards uncontrollable self-improving superintelligence and that it could be a disaster of the “end all of humanity” kind.His post sits at 130M impressions (after being basically a nobody on X before) and he's been interviewed by Fox, AP, Time magazine, WSJ, NBC and a host of senators, Bernie (chief doomer) included, reposted his post on the same day! The funniest thing is that this post got about 26x more attention than Ilya Sutskever's post about leaving OpenAI. Just nutsWithin four days, seven current and former employees from Anthropic, OpenAI and DeepMind said in public that they believe that AI could kill us all. Also notable that Paul Christiano, who is one of the most interesting AI doomers out there, has joined the OpenAI foundation, and Daniel Kokotajlo, the famed OpenAI whistle-blower, joined Joe Rogans podcast to talk about AI doom. Each one of these incidents in vacuum is normal, but having all these happen in a a span of a few days just feels, inorganic. Some folks are even saying that this is a well coordinated doomerism campaign! I want to be fair to Coxon, folks who worked with him at OpenAI say he's the real deal, and cares deeply about AI safety and humanity, however, he only worked at Anthropic for 6 weeks before publicly leaving, and now every interview he does sayd “Ex Anthropic employee”. Whether it's a coordinated effort or not, it's still a very important discussion, after the pacingthefrontier letter and the HuggingFace hack incident, and it seems to have made waves. Sam Altman just told staff that he's not opposed to pausing and have petitioned the US government to regulate AI as wellLook, I don't disagree that we're dealing with a very powerful technology, however I don't believe that scaring the bajeesus out of everyone is the right way to handle this. Politicians use fear to get votes and get elected, they don't really care about tech progress, and framing this in a way that “we pause or we're dead” ignores all the good that AI is about to do. Cure cancer, find solutions to climate change, helping solving povery. All these seem like out there ideas but they are coming. The US GDP is already growing at an unprecedented rate and a lot of it is due to AI. In any rate, as I said on the show, I'm not against pausing, just after we solve cancer. Then we can pause and reassess, till then, nobody is telling me how China's government is going to pause if US pauses, and if they don't, they will reach superintelligence before we, and I don't want to live in that world! Open Source AIDeepSeek V4.1 Flash: the whale is back, and it's cheap (X, HF, TokenJuice)Speaking of.. chinese AI! Deepsek (The whale) resurfaced this week with V4.1 Flash, and don't let the name fool you, this is not just a .1 small update. 552B with only 8B active on prefill and 16B on decode, 1M context, trained from scratch on 45T multimodal tokens! plus as always, MIT license. Chris from Nvidia joined us to break it down, and his main point stuck with me: every DeepSeek release comes with one of the best engineering reports you can read, and this one is the most data-pilled they've ever done. The paper basically says it out loud, everything else is nice, but it's the data. 45T tokens isn't a huge number anymore, but the cleaning they describe goes way beyond what anyone else publishes (Chris said even his own beloved Nemotron's open pipelines are less thorough). Yam opened a new corner of the show, “I Told You So”, because DeepSeek went back to an encoder-decoder architecture. Not the old one from before GPT-2, this one has a pile of battle tested tricks that make it work at half a trillion parameters. His verdict after testing it all day: the best open weights model you can host for coding right now, and it's not even close to the largest one.This chart is the one to look at. KV cache per token went from 389,000 bytes in the first DeepSeek (Nov 2023) to about 890 bytes now. Nisten did the math live, over 400x smaller. That's why this model is so cheap to serve, and as Yam kept yelling, we shouldn't take it for granted, this is the actual moat and they just put it in the open. Evals, briefly: 90.6 on Terminal-Bench 2.1 (above Opus 5 and GPT 5.6 Sol), 74.2 on DeepSWE 1.1 (also above both), and on an Open Design leaderboard it lands second behind Astra at two cents a task. Not twenty cents. Two. DeepSeek's own evals, so the usual asterisk applies.Two more things. Friend of the pod Aaron Batilo (he works on CoreWeave Inference, this is a side project, not sponsored) put up TokenJuice.ai, free and fast DeepSeek V4.1 Flash in exchange for your requests as training data, hosted in the US. Nobody wants free DeepSeek? Go try it. And Nisten had Astra build a 3D visualization of the whole architecture, every weight a cube sized by its bytes on disk, link in the TL;DR.This Week's Buzz
Tre mesi fa Apple ha aperto la sua piattaforma di messaggi agli agenti di intelligenza artificiale di terze parti, e questa settimana è arrivata la prova che riguarda i viaggi: un'app che prenota volo e hotel scrivendo su iMessage. Il fatto che conta non è l'app, è la forma del canale. Nell'istante in cui si apre una strada nuova dove l'AI agisce per conto del cliente, sopra ci compare un pedaggio e qualcuno che decide chi ci può stare. La settimana scorsa la parola era «essere eseguiti». Questa settimana è «su quale strada, e a che prezzo». In questo episodio: • La notizia della settimana: gli agenti che prenotano dentro i messaggi. Apple apre iMessage agli agenti terzi, il caso Poke e la startup di viaggi Miso, e il pedaggio per-utente che spunta sul canale. Cosa cambia per hotel e destinazioni. • Il Radar by https://tourismintel.ai: il nuovo modello di OpenAI e l'etichetta «era dell'AGI»; le banche che diventano i nuovi leader della fedeltà nel turismo; il 92% delle telefonate negli hotel di lusso che non cattura i dati del cliente; tre assistenti AI che pianificano la stessa vacanza con 5.000 dollari di differenza. • Officina Turistica con Silvia Moggia: il boomerang dell'automazione, compiti contro mestieri, e perché l'AI attecchisce solo quando la sceglie chi ha il problema. • Il segnale della settimana: le ondate di calore che erodono il valore del clima come primo asset delle destinazioni mediterranee. • Il compito della settimana: la lista dei compiti ripetitivi del team, scelta da chi quei compiti li fa davvero. Fonti e link citati:https://techcrunch.com/2026/06...https://appleinsider.com/artic...https://apps.apple.com/us/app/...https://app.dealroom.co/news/n...https://www.theverge.com/ai-ar...https://skift.com/2026/09/04/t...https://www.hospitalitynet.org...https://skift.com/2026/09/04/f...https://www.hosteltur.com/1783...https://www.hosteltur.com/1784...https://abcnews.com/US/3-hiker...https://krcrtv.com/news/local/... Iscriviti alla newsletter di Officina Turistica: https://www.officinaturistica.... Dai un'occhiata a https://tourismintel.ai
Investigators obtained a warrant for Yik Yak because the app's location-based, semi-anonymous format offered another way to examine Bryan Kohberger's online activity during the months before and after the murders. The warrant sought records tied to accounts associated with Kohberger from June 1, 2022 forward, including account identifiers, registration information, IP addresses, usernames, billing details and other stored data that could help investigators determine whether he had posted, communicated or interacted with people in the Moscow-Pullman area. Because Yik Yak organized conversations around users within a roughly five-mile radius, the platform could potentially reveal whether Kohberger had been participating in local discussions or leaving a digital trail connected to the University of Idaho community. Investigators also obtained extensive Apple records tied to Kohberger's accounts, seeking information associated with services such as iCloud, email, iMessage, FaceTime, login history, devices, location services and stored photographs or documents. The Apple warrants became important enough that Kohberger later moved to suppress the resulting evidence, arguing that investigators had invaded an enormous amount of private digital information, but Judge Steven Hippler ultimately rejected that challenge.The Bank of America warrant showed that detectives were simultaneously examining the financial side of Kohberger's life. It was part of a much wider sweep involving numerous banks and financial institutions, including Banner Bank, Discover, Wells Fargo, Umpqua and others, as investigators looked for transaction records that might help reconstruct purchases, travel, movements or other activity potentially relevant to the murders. The publicly available Bank of America material remained heavily restricted: Judge Megan Marshall ordered the affidavit supporting the warrant sealed and the warrant and inventory redacted because they contained highly private information and material that could endanger individuals. That means the precise transactions investigators were targeting were not fully disclosed publicly. Taken together, the Yik Yak, Apple and Bank of America warrants illustrated just how broad the post-arrest investigation became. Detectives were not simply trying to prove where Kohberger's car or phone had been; they were digging through his social activity, cloud-based digital life and financial history to determine whether any part of that record could establish planning, contact, purchases, motive or behavior connected to the King Road murders.to contact me:bobbycapucci@protonmail.com
In this episode of the Crazy Wisdom Podcast, host Stewart Alsop sits down with Daniel Segundo to discuss why today's social networks have evolved into entertainment networks and how Daniel is building Bien, a social app focused on depth over breadth. Daniel shares his journey from trading commodities to creating a platform designed to keep users genuinely connected to their inner circle, inspired by insights gained while meditating in caves in India. The conversation covers everything from the problems with the "like button" and algorithmic feeds to Daniel's contrarian approach of removing public-facing engagement metrics and using voice notes as the primary interaction method. They also explore the challenges of building consumer social products, the impact of AI on development, and Daniel's philosophy drawn from Eastern mysticism and his study of Ramana Maharshi. To learn more about Bien, visit bien.social or follow Daniel on Twitter at @DanielPSegundo.Timestamps00:00 Daniel introduces Bien as a real social network, contrasting entertainment networks disguised as social platforms05:00 Building with AI tools allowed bootstrapping the app before hiring a five-person team for professional development10:00 Social networks evolved into entertainment networks optimized for engagement and advertising rather than genuine connection15:00 The advertising model incentivizes dopamine delivery and algorithmic content over posts from actual friends20:00 Removing the like button and public comments forces deeper interaction through private voice notes instead25:00 Social graphs become stale over time because unfriending feels awkward, so people curate for weakest relationships30:00 Matrix and Nostr protocols enable interoperable messaging, suggesting a Cambrian explosion of new social apps35:00 Depth matters more than metrics—success means users actually feel closer to their inner circle40:00 Voice notes combined with photo sharing mimics natural storytelling behavior when friends gather in person45:00 Meditation in Ramana Maharshi's caves in India inspired reflections on silence, self-inquiry, and building products mindfullyKey Insights1. Daniel Segundo was inspired to create Bien after recognizing that existing social networks excel at breadth but fail at depth of connections. While meditating in caves in South India, he went through his phone contacts and realized only about 5 percent of his 1,700 contacts were people he actually wanted to stay close to, with the remaining 95 percent being noise. He saw that tools like Facebook, Instagram, and WhatsApp have solved the problem of maintaining surface-level relationships across broad networks of people, but there was no good tool for maintaining deep connections with your inner circle beyond basic messaging apps like iMessage or WhatsApp, which still suffer from having too many contacts with access.2. The fundamental problem with current social networks is that they have become entertainment networks rather than true social networks, driven by the advertising business model. Instagram only shows content from your actual friends about 7 percent of the time, with the rest being algorithmically suggested content designed to maximize engagement and ad revenue. The like button, while useful for maintaining broad social graphs and understanding your status in larger groups, reduces complex human relationships to superficial interactions. This creates what Segundo calls a circus-like experience where you are constantly bombarded with entertaining content rather than meaningful updates from people you care about, and the advertising model incentivizes this transformation because the product is ultimately about delivering dopamine to keep people scrolling.3. Bien removes traditional social media features like public likes and comments, replacing them with private voice note responses capped at 60 seconds. The theory is that hearing three voice notes from close friends provides more genuine connection than receiving 300 likes on a post. This design choice stems from recognizing that while the like button serves a useful function for breadth-first social networks where people want quick validation from large peer groups, it is completely inadequate for depth-first relationships. By forcing more intimate and effortful interaction through voice, Bien attempts to upgrade the quality of connection rather than the quantity, building off existing habits like sending voice notes to close friends rather than trying to create entirely new behaviors.4. The traditional follower-following model creates stale social graphs because people are uncomfortable unfriending or unfollowing others as relationships naturally evolve over time. Instead of this model, Bien uses a system where each user maintains a private list of people they want to stay close to, and if two people have each other on their lists, they see each other's content. This eliminates the social awkwardness of unfriending someone while allowing social graphs to naturally evolve. The current model forces people to curate their sharing based on the weakest relationship in their network because they do not want to offend distant connections or go through the work of managing close friends lists, which results in less authentic sharing overall.5. Segundo is building Bien on a paid subscription model rather than an advertising model to align incentives directly with users. He believes no one can build a compelling social network on the advertising model anymore because it creates conflicting incentives where the company must serve both advertisers and users, ultimately degrading the product into what he calls slop. The straightforward deal with customers is that if the product cannot provide value equivalent to the price of a cup of coffee per month through premium features, then there is no justification for the business to exist. This allows Bien to focus solely on whether users feel closer to their inner circle after using the product rather than optimizing for maximum scrolling time.6. Segundo bootstrapped the initial development of Bien using AI coding tools like Replit before hiring a team of five people to develop it professionally. He notes that with current AI tooling, if you can think clearly and understand the problems you are trying to solve, you can build solutions much more cheaply than even five or ten years ago. He eventually hired a designer and iOS and web developers to do things properly with a do it right or do not do it at all mindset. The app is currently iOS-only, built in Swift for a premium experience, with plans to potentially build a React Native version for Android if there are stronger signs of product market fit.7. Segundo's background in trading commodities and futures, along with his deep interest in Eastern philosophy and self-inquiry practices, significantly influences his approach to building Bien. He spent time studying Ramana Maharshi and practicing meditation in caves at Tiruvannamalai in South India, which he says has a profound impact not just on spiritual practice but on thinking about product development and participating in markets. His experience with a major trading drawdown in 2025 after running up a small account 25 times led him to this period of reflection that ultimately resulted in the conception of Bien, demonstrating how his various interests in trading, philosophy, and technology intersect in his approach to building a depth-first social network.
Original text by Steve Hayman. Steve Jobs demos WebObjects at Microsoft PDC 1996. Xserve (with free WebObjects server license) introduction from WWDC 2002. WebObjects FedEx and Chrysler demo clips from OpenStep Day 1995, parts 1, 2, 3, 4, 5. Avie Tevanian and Jon Rubinstein on Jobs' discomfort re: talking to enterprise customers. WebObjects retrofit for the IBM Eclipse IDE: WOLips. Did you know there's a WorldWide WebObjects Developers Conference (WOWODC), and that iMessage still uses WebObjects as part of its foundation?
Investigators obtained a warrant for Yik Yak because the app's location-based, semi-anonymous format offered another way to examine Bryan Kohberger's online activity during the months before and after the murders. The warrant sought records tied to accounts associated with Kohberger from June 1, 2022 forward, including account identifiers, registration information, IP addresses, usernames, billing details and other stored data that could help investigators determine whether he had posted, communicated or interacted with people in the Moscow-Pullman area. Because Yik Yak organized conversations around users within a roughly five-mile radius, the platform could potentially reveal whether Kohberger had been participating in local discussions or leaving a digital trail connected to the University of Idaho community. Investigators also obtained extensive Apple records tied to Kohberger's accounts, seeking information associated with services such as iCloud, email, iMessage, FaceTime, login history, devices, location services and stored photographs or documents. The Apple warrants became important enough that Kohberger later moved to suppress the resulting evidence, arguing that investigators had invaded an enormous amount of private digital information, but Judge Steven Hippler ultimately rejected that challenge.The Bank of America warrant showed that detectives were simultaneously examining the financial side of Kohberger's life. It was part of a much wider sweep involving numerous banks and financial institutions, including Banner Bank, Discover, Wells Fargo, Umpqua and others, as investigators looked for transaction records that might help reconstruct purchases, travel, movements or other activity potentially relevant to the murders. The publicly available Bank of America material remained heavily restricted: Judge Megan Marshall ordered the affidavit supporting the warrant sealed and the warrant and inventory redacted because they contained highly private information and material that could endanger individuals. That means the precise transactions investigators were targeting were not fully disclosed publicly. Taken together, the Yik Yak, Apple and Bank of America warrants illustrated just how broad the post-arrest investigation became. Detectives were not simply trying to prove where Kohberger's car or phone had been; they were digging through his social activity, cloud-based digital life and financial history to determine whether any part of that record could establish planning, contact, purchases, motive or behavior connected to the King Road murders.to contact me:bobbycapucci@protonmail.comBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-moscow-murders-and-more--5852883/support.
This week is a true charcuterie board of an episode: a little career news, a little AI, and a surprisingly serious debate about crackers. Kat recaps her trip to San Francisco, shares some news about her new role, and explains why a tea leaf salad earned “best bite of the weekend.” Meanwhile, Ian reveals that he has very specific charcuterie standards and is now using Haiku almost exclusively because, apparently, he's saving the world one AI prompt at a time. They also catch up on what they learned from Annie Hardy, get excited about Cisco's new AI agents, and try to make sense of ChatGPT's new iMessage integration. Is it genuinely helpful, or does letting AI write your texts feel like one step too far? No conclusions are reached, but everyone agrees that “it all stays on your device” sounds exactly like something we'll revisit when the apology statement drops. If you like the show, give us a click: https://www.cisco.com/site/us/en/solutions/small-business/index.html
Jem closes $19K in sales via text message while Justin battles shipping errors and imperial tape measures (slam?!). Justin shares CNC de-tabbing tricks, discuss auto-chucks with torque sensing for the pencil sharpener, and debate customer service boundaries. Jem admits he's avoiding his robot cell safety project while Justin celebrates finally killing Text Expander with SnipSnipWatch on YoutubeDISCUSSED:✍️ Comment or Suggest a Topicluv for iMessage sales processaccccoutnabilitbudddySystems daddyDetabbing on machine tutorialMeasurements---Profit First PlaylistClassic Episodes Playlist---SUPPORT THE SHOWBecome a Patreon - Get the Secret ShowReview on Apple Podcast Share with a FriendDiscuss on Show SubredditShow InfoShow WebsiteContact Jem & JustinInstagram | Tiktok | Facebook | YoutubePlease note: Show notes contains affiliate links.HOSTSJem FreemanCastlemaine, Victoria, AustraliaLike Butter | Instagram | More LinksJustin BrouillettePortland, Oregon, USAPDX CNC | Instagram | More Links
For decades, interacting with a business online has meant learning how that business wants you to interact with it. Open the website. Find the right menu. Fill out the form. Navigate multiple screens. FOBI AI believes that model is beginning to change.The Company has launched AgenticBrain, an agentic conversational platform designed to let customers interact with businesses using natural language through familiar messaging environments including WhatsApp, iMessage, Telegram and other supported platforms. Instead of asking customers to figure out where to click, AgenticBrain is designed to understand what they want and connect that request to the company's existing systems. It is also the latest component of the FOBI Flywheel, connecting FORTRESS, FIXYR and AltID 3.0 into what management is building as one connected enterprise technology ecosystem.WHAT YOU NEED TO KNOWAPI Integration: AgenticBrain is designed to connect with existing enterprise APIs rather than requiring companies to replace their underlying infrastructure. Management says integration timelines can potentially be measured in hours or days rather than months.More Than a Chatbot: The platform is designed not simply to answer questions, but to access authorized systems, retrieve information and complete permitted actions.Identity and Authentication: AltID 3.0 is designed to provide identity, authentication and trust within the broader system.Flywheel Opportunity: An AgenticBrain deployment can potentially create additional opportunities for FORTRESS, FIXYR, AltID 3.0 and eventually FOBI's planned next generation wallet.Enterprise Licensing Focus: CEO Rob Anson identified licensing as what management sees as its biggest path to scale, with channel partner enablement expected to play an important role in reaching the enterprise market.FROM CLICKING TO ASKINGThe easiest way to understand AgenticBrain is through a simple example. Today, changing a flight can require opening an airline app, logging in, finding the booking and navigating multiple screens. AgenticBrain is designed around a different experience. A customer could simply say, “Reschedule my flight to next Thursday.” The company's systems can provide the available options, identity and authorization can potentially be confirmed, and the appropriate action can then potentially be completed through the same conversation.This is also where FOBI's broader Flywheel becomes easier to visualize. FORTRESS provides sovereign enterprise intelligence. FIXYR provides communication and orchestration. AltID 3.0 provides identity, authentication and trust. AgenticBrain provides the conversational layer connecting customers to those capabilities, while FOBI's planned next generation wallet is intended to eventually provide the user layer for tickets, credentials, memberships and other digital assets.What matters for shareholders is that these are no longer being presented as separate technology launches. They are increasingly being positioned as parts of one connected system.BUILT FOR PEOPLE AND AI AGENTSManagement believes the opportunity extends beyond people talking directly to businesses. As consumers increasingly delegate tasks to personal AI agents, those agents will also need ways to interact with businesses.INVESTOR TAKEAWAYAgenticBrain gives investors one of the clearest examples yet of how FOBI intends its recent technology launches to work together. The platform is designed for enterprises across travel, hospitality, ticketing, retail, financial services, telecommunications, healthcare, utilities and government services, with potential recurring revenue opportunities including enterprise licensing, deployments, conversational usage, integrations and transaction enabled services.For shareholders, the question is increasingly straightforward: can FOBI turn this connected technology ecosystem into enterprise customers and recurring revenue?
In der neuen Folge sprechen Jakob Steinschaden, Mitgründer von eustella und Trending Topics, und Clemens Wasner, CEO von enliteAI und Vorsitzender von AI Austria, über folgende Themen:
Au programme :Focus sur une synthèse de l'actualité tech et IA de l'été, avec un épisode de rentrée au format inhabituel, centré sur les sujets les plus marquants et les retards de juillet et août.Apple et OpenAI sont au cœur d'un affrontement juridique autour d'accusations d'accès à des ressources internes et de recrutement d'anciens employés d'Apple. L'épisode revient aussi sur le plugin ChatGPT sur macOS, capable d'accéder aux messages SMS, RCS et iMessage avec l'accord de l'utilisateur.Le débat se concentre ensuite sur l'étiquetage des contenus générés par IA, dans le cadre de l'AI Act européen. Sont évoqués les chatbots, avatars, deepfakes, textes générés sans contrôle humain, ainsi que les marquages invisibles chez Google et Anthropic, et les limites pratiques de cette régulation.Un autre axe important concerne l'IA comme changement de structure industrielle : évolution des grands modèles, montée en puissance de Google et d'OpenAI, réorganisation de Demis Hassabis, et nouveaux modèles orientés vers le code, les maths et les agents. Il est aussi question d'Astra, de risques cyber, de coûts de calcul et de recherche mathématique assistée par IA.L'épisode traite également des impacts économiques et techniques : consommation d'énergie des centres de données, hausse des coûts, plafonds de dépenses IA chez Microsoft et d'autres entreprises, montée des tensions autour des data centers, et apparition d'outils comme Kitesurf de Cloudflare pour les agents.Enfin, plusieurs sujets français et grand public sont passés en revue : cyberattaques touchant des services publics et privés, interdiction des réseaux sociaux aux moins de 15 ans retoquée, progression de Linux, difficultés de Windows 11, hausses de prix des licences OEM, ainsi que les prochains produits Apple, dont un iPhone pliant, de nouveaux accessoires et des évolutions possibles pour la maison connectée.Infos :Animé par Guillaume Vendé (Tech Café, Bluesky)Co-animé par Baptiste Freydt (Niptech, Niptech Inspire)Produit par Patrick Beja (LinkedIn) et Fanny Cohen Moreau (LinkedIn).Musique libre de droit par Daniel BejaLe Rendez-vous Tech épisode 678 – Astra, marquages IA et toujours plus de Linux : le récap de l'été !---Liens :Soutien :
Cyber Security Expert Theresa Payton joins Bo and Beth in-studio to share back to school tech tips for parents, students and teachers. Apple and Open A.I. planning to integrate Chat GPT into iMessage as well as the effects that A.I. is having on students.See omnystudio.com/listener for privacy information.
A leading artificial intelligence chatbot can now help summarize your text messages, suggest possible replies, and even respond automatically, although some users are raising privacy concerns. Learn more about your ad choices. Visit podcastchoices.com/adchoices
AI Chat: ChatGPT & AI News, Artificial Intelligence, OpenAI, Machine Learning
In this episode, we discuss ChatGPT's new capability to access Apple's iMessage, exploring its potential uses and the privacy concerns that arise. We also cover the rise of AI-related communities and companies, including the growth of Micro One and innovative developments like Every's AI clone of their editor-in-chief.Chapters00:00 ChatGPT and iMessage02:01 Privacy Concerns05:00 Detection Apps and Meta Glasses07:59 AI Research Accelerating Concerns09:59 Micro One's Growth12:59 Every's AI Clone Innovation Show LinksGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter
In this episode, we unveil how ChatGPT's iMessage feature collaborates with Midjourney applications. We discuss creative expansions this enables.Chapters00:00 ChatGPT and iMessage02:01 Privacy Concerns05:00 Detection Apps and Meta Glasses07:59 AI Research Accelerating Concerns09:59 Micro One's Growth12:59 Every's AI Clone Innovation Show LinksGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
In this episode, we cover the innovative aspects of ChatGPT connecting with iMessage in Silicon Valley. We highlight the tech ecosystem's reaction.Chapters00:00 ChatGPT and iMessage02:01 Privacy Concerns05:00 Detection Apps and Meta Glasses07:59 AI Research Accelerating Concerns09:59 Micro One's Growth12:59 Every's AI Clone Innovation Show LinksGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
ChatGPT: OpenAI, Sam Altman, AI, Joe Rogan, Artificial Intelligence, Practical AI
In this episode, we spotlight the new feature where ChatGPT can access iMessage. We discuss what this means for users and technology.Chapters00:00 ChatGPT and iMessage02:01 Privacy Concerns05:00 Detection Apps and Meta Glasses07:59 AI Research Accelerating Concerns09:59 Micro One's Growth12:59 Every's AI Clone Innovation Show LinksGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter
ChatGPT: News on Open AI, MidJourney, NVIDIA, Anthropic, Open Source LLMs, Machine Learning
In this episode, we talk about how ChatGPT can now enable iMessage connections. We explore the broader implications for messaging technology.Chapters00:00 ChatGPT and iMessage02:01 Privacy Concerns05:00 Detection Apps and Meta Glasses07:59 AI Research Accelerating Concerns09:59 Micro One's Growth12:59 Every's AI Clone Innovation Show LinksGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
In this episode, we discuss how ChatGPT's access to iMessage can support non-profits in communication. We highlight potential uses in reaching beneficiaries.Chapters00:00 ChatGPT and iMessage02:01 Privacy Concerns05:00 Detection Apps and Meta Glasses07:59 AI Research Accelerating Concerns09:59 Micro One's Growth12:59 Every's AI Clone Innovation Show LinksGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
In this episode, we discuss the freedom of communication enabled by ChatGPT's meeting with iMessage. We explore its impact on flexibility.Chapters00:00 ChatGPT and iMessage02:01 Privacy Concerns05:00 Detection Apps and Meta Glasses07:59 AI Research Accelerating Concerns09:59 Micro One's Growth12:59 Every's AI Clone Innovation Show LinksGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter
In this episode, we update listeners on ChatGPT's new functionality that welcomes iMessage interaction. We assess the potential impact on user engagement.Chapters00:00 ChatGPT and iMessage02:01 Privacy Concerns05:00 Detection Apps and Meta Glasses07:59 AI Research Accelerating Concerns09:59 Micro One's Growth12:59 Every's AI Clone Innovation Show LinksGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
In this episode, we reveal the latest feature of ChatGPT that connects with iMessage. We analyze the potential market impact of this development.Chapters00:00 ChatGPT and iMessage02:01 Privacy Concerns05:00 Detection Apps and Meta Glasses07:59 AI Research Accelerating Concerns09:59 Micro One's Growth12:59 Every's AI Clone Innovation Show LinksGet the top 80+ AI Models for $8.99 at AI Box: https://aibox.aiHow I Grow and Scale My Business with AI: https://www.skool.com/aihustleGet the AI Chat Daily Newsletter: https://www.aichatdaily.com/newsletter
ChatGPT para Mac aprende a buscar y responder en Mensajes; Las Vegas abre la puerta a miles de robotaxis; Waymo revela el chip que procesa cámaras, lidar y radar dentro del coche; Brasil apuesta por dos superordenadores de IA sin casarse con China ni Estados Unidos; y S301 orbita el agujero negro central de la Vía Láctea a una velocidad salvaje.Puedes seguirnos en YouTube en https://youtube.com/olivernabani y puedes unirte al Discord Mashain en https://olivernabani.com/discord
Kia ora e te ball bags! Producer Arun here putting together all the best bits you missed from the show today: That’s RANK! Today Storme ranks “Chris’s” Is your iMessage turned on? Tegs used Trident coconut cream when making Oka, BLASPHEMY!!! Do you have the HEARTIEST Māori name? What’s the female version of a dap? Turn’s out kutus is content gold so we’re running it back today!! Tell us your kutu remedies. Nickson’s wife Sarah booked out the whole of chipmunks for an hour so his son Atoa could have the whole place to himself… How did you waste your parents money? Tegan’s got a list of places you can get free stuff on your bday! Thanks for listening ya mongrels! Lots of love Producer Arun, Producer A-aron, Producer Alonaa, Producer Kanuka, Producer Mah BROTHAH, Bad Boy Alan! xx
Episode Summary:Brandt and Will trade war stories on the gap between AI hype and AI reality: Brandt's saga of nursing a decade-old, server-killed Oculus Go back to life with Claude Code, the "caveman concept" for cutting token waste, and why Claude keeps giving up and trying to open Chrome. Will breaks down Anthropic's new (and deliberately withheld) Mythos model, plus his own iMessage-agent setup via BlueBubbles. They wrap with confidently-wrong AI moments and this week's Things of the Episode.Discussions Include:• Claude Cowork vs. Claude Code vs. Claude chat, and when to reach for each• The "caveman concept": talking to your AI simply to burn fewer tokens• Resurrecting a 10-year-old, server-bricked Oculus Go using Claude Code, ADB, and a custom APK• Anthropic's Mythos model, its bug-hunting/exploit-chaining chops, and Project Glasswing• When AI is confidently wrong (and how to stop it defaulting to "just open Chrome")Quotable Quotes (Should you choose to share): "It is so stupid sometimes... but at the same time, it is also still really, REALLY stupid sometimes." - Brandt Krueger "There's two types of people in this world: people who use AI to learn everything, and people who use AI to learn nothing." - Will Curran "It flippin' writes its own APK... " - Brandt Krueger "Definitely the power is on the code side of things. It's much smarter." - Will CurranThing of the Episode (TOTE): Brandt: Oculus Go hacking project - https://www.ebay.com/b/Oculus-Go-VR-Headsets/183068/bn_7115189259 Will: BlueBubbles - https://bluebubbles.app/
"How do you use AI every day?"
Also, Sunbird is back for iMessage on Android and Disney+ wants TikTok users to post there.Starring Tom Merritt, and Sarah LaneLinks to stories discussed in this episode can be found here. Hosted on Acast. See acast.com/privacy for more information.
Disney and TikTok announce pilot program in the US for content creators to use Disney IP, Sunbird’s iMessage for Android app returns after three years, and the $55 billion USD sale of Electronic Arts finally closed. MP3 Please SUBSCRIBE HERE for free or get DTNS shows ad-free. A special thanks to all our supporters–without you,Continue reading "Disney and TikTok Announce Partnership to use Disney IP – DTH"
OpenAI rejected Apple's lawsuit alleging trade secrets theft in a lengthy blog post early on Tuesday that includes several iMessage chats and email conversations as it challenged the iPhone-maker's bid to gain a preliminary injunction barring two former Apple employees and OpenAI from accessing or disclosing alleged confidential information. Read the full story on Forbes: https://www.forbes.com/sites/siladityaray/2026/08/04/openai-shares-chats-and-emails-to-rebut-apples-suit-alleging-it-stole-trade-secrets/ Learn more about your ad choices. Visit megaphone.fm/adchoices
Mark Drummond spent his Apple years building the character intelligence team behind Apple Vision Pro, working with Marvel and Jon Favreau to figure out how Hollywood IP could come to life in AR. Now, at his startup Pixee, he's making the opposite bet: forget the headset, the iPhone is the better device for bringing characters into people's lives. Mark walks Charlie and Ted through Pixee's vision — send a licensed character like Elsa to sing happy birthday through iMessage, no app required — and the underlying tech that makes it possible, including an engine built with Claude that replaced Unreal and cut compile times from an hour to seven minutes. The conversation goes deep on the Apple Vision Pro's real tradeoffs, the neurobiology of why the headset can feel exhausting after an hour, and why Mark thinks Apple's rumored "spectacles" will quietly inherit lessons from AVP's failures.The news segment covers a big week of Big Tech earnings — Microsoft and Amazon soaring on cloud and ad growth, Meta and Apple taking hits — plus Anthropic's disclosure that its frontier AI models were used in real-world hacks, an AI-run vending machine experiment that lied to customers about refunds, the new ban on Chinese humanoid robot imports, and the growing backlash against AI smart glasses with outward-facing cameras.Key Moments: [01:35] Big Tech earnings and market winners/losers [06:35] AI models behind real-world hacks [09:35] Smart glasses and the "Glasshole" effect [17:35] Mark Drummond joins — Pixee's origin story [24:35] Apple Vision Pro history — what went wrong [41:35] Headset vs. phone: the case for AR on iPhone [50:35] Funding, protections, and the CDE philosophyBrought 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.
On this episode of Conduct Detrimental: THE Sports Law Podcast, Dan Lust (@SportsLawLust) is joined by Mike Lawson (@Mikesonoflaw) and Mike Kravchenko (Watch on YouTube) to reunite for a Mike & Mike edition tackling the latest sports law stories of the week.The trio opens with Sophie Cunningham, who's had a busy two weeks. First up is the report that the WNBPA has barred licensed partners from using Cunningham's viral 22-second "pointing" gesture on merchandise. Mike Lawson breaks down the group licensing agreement with Fanatics and other partners, why the union is calling player-on-player confrontation imagery "derogatory." From there, the conversation turns to Cunningham's recent on-record comments on trans athletes in women's sports — published, notably, the same weeks the licensing story broke — and whether the WNBA's continued silence, contrasted against the UFC's swift public denunciation of Josh Hokit's White House-card comments, says something about where the league actually stands on its most talked-about players.Mike K then catches everyone up on the ongoing Stefon Diggs litigation against Christopher Griffith, including the discovery fight over Instagram and iMessage records, and why newly produced travel-booking and phone-log evidence could push the case from civil into criminal territory. Mike Lawson follows with the NFL's indefinite suspension of Cardinals college scout Ryan Gold for allegedly leaking non-public draft information — the parlay bets that allegedly cashed off it, and Dan's tangent on why family members are so often the weak link in gambling-policy violations.From there, the show dives into the LeBron James "Decision 2.0" saga playing out in real time on Kalshi — the Miami Heat's since-scrutinized "introductory press conference" livestream dated July 27th, the wild odds swings that followed, and much much more. Dan also shares his own market position on when the announcement will actually come.The episode closes with Dustin Poirier's arrest for public intoxication, Bud Light's same-day termination of his endorsement deal, and a deep dive into morals clauses — why Poirier's other sponsors have stood by him, and what that says about leverage in athlete endorsement contracts. Plus, what to watch for: Aaron Donald's potential NFL return and Dan's UFC futures bet on the middleweight title picture.Let us know your thoughts!***Have a topic you want to write about? ANYONE and EVERYONE can publish for ConductDetrimental.com. Let us know if you want to join the team.As always, this episode is sponsored by Themis Bar Review: https://www.themisbarsocial.com/conductdetrimental Host: Dan Lust (@SportsLawLust) Featuring: Mike Lawson (@Mikesonoflaw) Mike Kravchenko (Watch on YouTube)Produced by: Mike Kravchenko (Watch on YouTube)Twitter | Instagram | TikTok | YouTube | Website | Email
On this episode of Conduct Detrimental: THE Sports Law Podcast, Dan Lust (@SportsLawLust) is joined by Mike Lawson (@Mikesonoflaw) and Mike Kravchenko (Watch on YouTube) to reunite for a Mike & Mike edition tackling the latest sports law stories of the week.The trio opens with Sophie Cunningham, who's had a busy two weeks. First up is the report that the WNBPA has barred licensed partners from using Cunningham's viral 22-second "pointing" gesture on merchandise. Mike Lawson breaks down the group licensing agreement with Fanatics and other partners, why the union is calling player-on-player confrontation imagery "derogatory." From there, the conversation turns to Cunningham's recent on-record comments on trans athletes in women's sports — published, notably, the same weeks the licensing story broke — and whether the WNBA's continued silence, contrasted against the UFC's swift public denunciation of Josh Hokit's White House-card comments, says something about where the league actually stands on its most talked-about players.Mike K then catches everyone up on the ongoing Stefon Diggs litigation against Christopher Griffith, including the discovery fight over Instagram and iMessage records, and why newly produced travel-booking and phone-log evidence could push the case from civil into criminal territory. Mike Lawson follows with the NFL's indefinite suspension of Cardinals college scout Ryan Gold for allegedly leaking non-public draft information — the parlay bets that allegedly cashed off it, and Dan's tangent on why family members are so often the weak link in gambling-policy violations.From there, the show dives into the LeBron James "Decision 2.0" saga playing out in real time on Kalshi — the Miami Heat's since-scrutinized "introductory press conference" livestream dated July 27th, the wild odds swings that followed, and much much more. Dan also shares his own market position on when the announcement will actually come.The episode closes with Dustin Poirier's arrest for public intoxication, Bud Light's same-day termination of his endorsement deal, and a deep dive into morals clauses — why Poirier's other sponsors have stood by him, and what that says about leverage in athlete endorsement contracts. Plus, what to watch for: Aaron Donald's potential NFL return and Dan's UFC futures bet on the middleweight title picture.Let us know your thoughts!***Have a topic you want to write about? ANYONE and EVERYONE can publish for ConductDetrimental.com. Let us know if you want to join the team.As always, this episode is sponsored by Themis Bar Review: https://www.themisbarsocial.com/conductdetrimental Host: Dan Lust (@SportsLawLust) Featuring: Mike Lawson (@Mikesonoflaw) Mike Kravchenko (Watch on YouTube)Produced by: Mike Kravchenko (Watch on YouTube)Twitter | Instagram | TikTok | YouTube | Website | Email
Pre-show: Anniversary Corner! catatp (see also Statistics) Bootleg visualization Follow-up: Public beta check-in Casey’s iMessage notification issue Cache in front of CloudFlare Workers! Apple keeps futzing with rendering of .icon files Mac-assed Mac Apps Steve Troughton-Smith on ChatGPT Gruber #1 Gruber #2 Gus Mueller Gruber Globe key on Apple’s extended keyboards (via Philip Hofstetter) LaunchAgent ~/Library/LaunchAgents Casey’s former keyboard Tina’s keyboard: MMMR3LL/A Shouldn’t the Studio Display get a price bump? (via Brian Nehring) Regarding skipping M6 Pro/Max/Ultra (via Anonymous) Gurman on M
„Sollten wir ihr sagen, was ihr Mann getan hat?“
Mac Geek Gab 1148 hands you a fresh stack of Quick Tips you’ll actually use. You’ll find out how Mark recovered every one of his accidentally deleted iMessages with Control-Command-4 (or the Recently Deleted view), undo a botched Finder rename with a casual Command-Z, and automate Theater Mode on your Apple Watch so it goes dim and quiet at night without Sleep Focus. You’ll pick up several ways to email a Safari webpage or just its link, learn to strip out distracting page clutter before you share, and finally understand why Apple Music can hijack your Mac’s default speaker output. Then you’ll hear why speakers deserve real thought before you buy a Mac mini, how to coax a stubborn Time Machine disk into ejecting cleanly, and a low-tech trick for AirTags too slippery to grip at battery-change time. When Doug’s M4 Pro MacBook Pro started beach balling and pausing apps from low memory, you’ll get the full playbook for clawing back storage, from spotting the culprits in your menu bar to pruning Downloads and clearing out bloated Messages and Apple media. You’ll walk through Adam’s step-by-step approach to slimming down iMessage storage, learn how to stop copying and pasting invisible white-on-white text that haunts Contacts and email, and speed up a sluggish macOS Contacts app with a clean iCloud re-sync. Keep these moves in your back pocket and don’t get caught with a full drive and a spinning beach ball. 00:00:00 Mac Geek Gab 1148 for Monday, June 29th, 2026 June 29th: National Bacon Burnt End Day MGG Monthly Giveaway – Win a license to SaneBox Quick Tips 00:00:01 Mark-QT-You can recover recently deleted iMessages ^Cmd-4 (not 5) 00:03:45 Scott-QT-Cmd-Z works to undo Finder Renames, too! 00:05:06 Larry-QT-Automate Theater Mode on Apple Watch 00:06:36 Hans-QT-Email a Safari Webpage to Someone 00:08:17 Russ-QT-Apple Music can override the Mac’s default speaker output Volumio 00:11:42 Adam-QT-More on Cmd-I (and Cmd-Shift-I) in Safari to mail a webpage (or the link) Likely based upon the web page's print.css Also File – Export as PDF 00:17:39 Safari – Hide Distracting Items The (no-longer-actively-developed) Printliminator 00:21:33 Doug-QT-Think about speakers when buying a Mac mini Insta360 Link 2 Pro 00:28:02 Bill-QT-Try Jettison, Mole, and more to eject resistant volumes 00:30:36 Dom-QT-Use tape or thimbles for slippery AirTags Sponsors 00:32:06 SPONSOR: Coveron. One scam can cost you everything. Tools reduce risk, Coveron reduces loss. Use code “macgeekgab” for up to 76% off at https://coveron.com/macgeekgab 00:33:55 SPONSOR: OneSkin. Born from over a decade of longevity research, OneSkin's OS-01 Peptide is proven to target the visible signs of aging, helping you unlock your healthiest skin now and as you age. Get 15% off OneSkin with the code MGG at https://www.oneskin.co/MGG #oneskinpod #ad 00:35:22 SPONSOR: BBEdit, the power tool for text from Bare Bones Software; now with integrated Notebooks and extended language support. Your Questions Answered and Tips Shared! 00:36:49 Doug-Beach balling apps made me realize I ran out of storage…what do I do? iStat Menus to see free disk space in my menubar How to free up space on your Mac Run mole…regularly! Hazel to keep your downloads folder pruned Run CleanMyMac – Space Lens, especially Clear out your Apple media Manage your Email attachments Clean out Messages CCleaner Clean up local snapshots 00:50:51 Adam's process for cleaning up iMessage storage use 00:56:21 Steven-How can I avoid pasting white text on a white background on my iPhone? 01:02:55 Mark-Speed up macOS Contacts with an iCloud re-sync ~/Library/Application Support/AddressBook/Sources//AddressBook-v22.abcddb Cool Stuff Found 01:13:18 Adam-CSF-Dungeon Crawler Carl 01:18:36 MGG 1148 Outtro MGG Monthly Giveaway Bandwidth Provided by CacheFly Pilot Pete's Aviation Podcast: So There I Was (for Aviation Enthusiasts) The Debut Film Podcast – Adam's new podcast! Dave's Business Brain (for Entrepreneurs) and Gig Gab (for Working Musicians) Podcasts MGG Merch is Available! Mac Geek Gab iOS app Mac Geek Gab YouTube Page Mac Geek Gab Live Calendar This Week's MGG Premium Contributors MGG Apple Podcasts Reviews feedback@macgeekgab.com 224-888-GEEK Active MGG Sponsors and Coupon Codes List BackBeat Media Podcast Network
Tim Cook signals that the company will likely raise its prices down the road due to the memory chip shortage. Apple's AirPods Pro 3 heart rate sensor is almost as accurate as the one in the Apple Watch. Still waiting to gain access to Siri AI? There's a shortcut to bypass it. And Apple's App Store is logging more data from you than most initially thought, per some security researchers. Apple to raise prices due to memory chip crunch, Tim Cook says. We did the math on why the iPhone 18 Pro could cost $1,299. Why Apple's war chest can't win the memory war. Apple's WebKit performance tax leaves iOS browsers stuck in the slow lane, says Microsoft. Trump says Apple will build chips with Intel in the US. AirPods Pro 3 heart rate sensor nearly matches Apple Watch in accuracy test. iOS 27 Beta 2 adds inline replies to iPhone-to-Android RCS chats. Skip the Siri AI Waitlist on Mac with this Shortcut. The system prompt for "Describe a Shortcut" references a shortcuts language (in Python) – (but that's not what it is - see update). Android 17 can copy more data from iPhone including your iMessage history and homescreen. Apple's App Store search data stores every single keystroke. New unpatchable exploit targets Apple devices with A12 and A13 chips. iPhone users: Be aware of this new 'Apple High Alert' scam. visionOS 27 gives the M5 Vision Pro two unique new advantages. Snap launches $2,195 specs, declaring glasses the next computer. Apple's Latest Vision Pro tool contains traces of defunct game engine 'The Machinery' Picks of the Week Jason's Pick: Apple's Refurb Store Leo's Pick: Yes We Scan Christina's Pick: Orb Stack Andy's Pick: MonoLisa Version 3 Hosts: Leo Laporte, Andy Ihnatko, Jason Snell, and Christina Warren Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: hipebl.ai ethos.com/macbreak webroot.com/twit
Tim Cook signals that the company will likely raise its prices down the road due to the memory chip shortage. Apple's AirPods Pro 3 heart rate sensor is almost as accurate as the one in the Apple Watch. Still waiting to gain access to Siri AI? There's a shortcut to bypass it. And Apple's App Store is logging more data from you than most initially thought, per some security researchers. Apple to raise prices due to memory chip crunch, Tim Cook says. We did the math on why the iPhone 18 Pro could cost $1,299. Why Apple's war chest can't win the memory war. Apple's WebKit performance tax leaves iOS browsers stuck in the slow lane, says Microsoft. Trump says Apple will build chips with Intel in the US. AirPods Pro 3 heart rate sensor nearly matches Apple Watch in accuracy test. iOS 27 Beta 2 adds inline replies to iPhone-to-Android RCS chats. Skip the Siri AI Waitlist on Mac with this Shortcut. The system prompt for "Describe a Shortcut" references a shortcuts language (in Python) – (but that's not what it is - see update). Android 17 can copy more data from iPhone including your iMessage history and homescreen. Apple's App Store search data stores every single keystroke. New unpatchable exploit targets Apple devices with A12 and A13 chips. iPhone users: Be aware of this new 'Apple High Alert' scam. visionOS 27 gives the M5 Vision Pro two unique new advantages. Snap launches $2,195 specs, declaring glasses the next computer. Apple's Latest Vision Pro tool contains traces of defunct game engine 'The Machinery' Picks of the Week Jason's Pick: Apple's Refurb Store Leo's Pick: Yes We Scan Christina's Pick: Orb Stack Andy's Pick: MonoLisa Version 3 Hosts: Leo Laporte, Andy Ihnatko, Jason Snell, and Christina Warren Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: hipebl.ai ethos.com/macbreak webroot.com/twit
Tim Cook signals that the company will likely raise its prices down the road due to the memory chip shortage. Apple's AirPods Pro 3 heart rate sensor is almost as accurate as the one in the Apple Watch. Still waiting to gain access to Siri AI? There's a shortcut to bypass it. And Apple's App Store is logging more data from you than most initially thought, per some security researchers. Apple to raise prices due to memory chip crunch, Tim Cook says. We did the math on why the iPhone 18 Pro could cost $1,299. Why Apple's war chest can't win the memory war. Apple's WebKit performance tax leaves iOS browsers stuck in the slow lane, says Microsoft. Trump says Apple will build chips with Intel in the US. AirPods Pro 3 heart rate sensor nearly matches Apple Watch in accuracy test. iOS 27 Beta 2 adds inline replies to iPhone-to-Android RCS chats. Skip the Siri AI Waitlist on Mac with this Shortcut. The system prompt for "Describe a Shortcut" references a shortcuts language (in Python) – (but that's not what it is - see update). Android 17 can copy more data from iPhone including your iMessage history and homescreen. Apple's App Store search data stores every single keystroke. New unpatchable exploit targets Apple devices with A12 and A13 chips. iPhone users: Be aware of this new 'Apple High Alert' scam. visionOS 27 gives the M5 Vision Pro two unique new advantages. Snap launches $2,195 specs, declaring glasses the next computer. Apple's Latest Vision Pro tool contains traces of defunct game engine 'The Machinery' Picks of the Week Jason's Pick: Apple's Refurb Store Leo's Pick: Yes We Scan Christina's Pick: Orb Stack Andy's Pick: MonoLisa Version 3 Hosts: Leo Laporte, Andy Ihnatko, Jason Snell, and Christina Warren Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: hipebl.ai ethos.com/macbreak webroot.com/twit
Tim Cook signals that the company will likely raise its prices down the road due to the memory chip shortage. Apple's AirPods Pro 3 heart rate sensor is almost as accurate as the one in the Apple Watch. Still waiting to gain access to Siri AI? There's a shortcut to bypass it. And Apple's App Store is logging more data from you than most initially thought, per some security researchers. Apple to raise prices due to memory chip crunch, Tim Cook says. We did the math on why the iPhone 18 Pro could cost $1,299. Why Apple's war chest can't win the memory war. Apple's WebKit performance tax leaves iOS browsers stuck in the slow lane, says Microsoft. Trump says Apple will build chips with Intel in the US. AirPods Pro 3 heart rate sensor nearly matches Apple Watch in accuracy test. iOS 27 Beta 2 adds inline replies to iPhone-to-Android RCS chats. Skip the Siri AI Waitlist on Mac with this Shortcut. The system prompt for "Describe a Shortcut" references a shortcuts language (in Python) – (but that's not what it is - see update). Android 17 can copy more data from iPhone including your iMessage history and homescreen. Apple's App Store search data stores every single keystroke. New unpatchable exploit targets Apple devices with A12 and A13 chips. iPhone users: Be aware of this new 'Apple High Alert' scam. visionOS 27 gives the M5 Vision Pro two unique new advantages. Snap launches $2,195 specs, declaring glasses the next computer. Apple's Latest Vision Pro tool contains traces of defunct game engine 'The Machinery' Picks of the Week Jason's Pick: Apple's Refurb Store Leo's Pick: Yes We Scan Christina's Pick: Orb Stack Andy's Pick: MonoLisa Version 3 Hosts: Leo Laporte, Andy Ihnatko, Jason Snell, and Christina Warren Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: hipebl.ai ethos.com/macbreak webroot.com/twit
Tim Cook signals that the company will likely raise its prices down the road due to the memory chip shortage. Apple's AirPods Pro 3 heart rate sensor is almost as accurate as the one in the Apple Watch. Still waiting to gain access to Siri AI? There's a shortcut to bypass it. And Apple's App Store is logging more data from you than most initially thought, per some security researchers. Apple to raise prices due to memory chip crunch, Tim Cook says. We did the math on why the iPhone 18 Pro could cost $1,299. Why Apple's war chest can't win the memory war. Apple's WebKit performance tax leaves iOS browsers stuck in the slow lane, says Microsoft. Trump says Apple will build chips with Intel in the US. AirPods Pro 3 heart rate sensor nearly matches Apple Watch in accuracy test. iOS 27 Beta 2 adds inline replies to iPhone-to-Android RCS chats. Skip the Siri AI Waitlist on Mac with this Shortcut. The system prompt for "Describe a Shortcut" references a shortcuts language (in Python) – (but that's not what it is - see update). Android 17 can copy more data from iPhone including your iMessage history and homescreen. Apple's App Store search data stores every single keystroke. New unpatchable exploit targets Apple devices with A12 and A13 chips. iPhone users: Be aware of this new 'Apple High Alert' scam. visionOS 27 gives the M5 Vision Pro two unique new advantages. Snap launches $2,195 specs, declaring glasses the next computer. Apple's Latest Vision Pro tool contains traces of defunct game engine 'The Machinery' Picks of the Week Jason's Pick: Apple's Refurb Store Leo's Pick: Yes We Scan Christina's Pick: Orb Stack Andy's Pick: MonoLisa Version 3 Hosts: Leo Laporte, Andy Ihnatko, Jason Snell, and Christina Warren Download or subscribe to MacBreak Weekly at https://twit.tv/shows/macbreak-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: hipebl.ai ethos.com/macbreak webroot.com/twit
Why do iMessage apps feel like a forgotten experiment, and what buried gems are still hiding behind that plus button? Dan Moren joins the show to unpack which built-in features now outshine their third-party predecessors and what that says about Apple's approach to messaging. iMessage apps' evolution, developer challenges, and user engagement declines Default iMessage features vs. true apps Sticker packs, sharing GIFs, and gameplay in Messages lose relevance Apple's default iMessage tools—photos, polls, cash, check in, send later Nuances of audio messages, dictation, and in-app differences Tips for faster photo sharing and rearranging iMessage features Real-world uses and practical limitations of iMessage's check-in feature Notable third-party iMessage app recommendations and personal favorites New: Apple's 2026 accessibility updates, including voice control, real-time captions, and AI-powered magnifier Picks of the Week: Indigo cross-network social app and Wipr 2 content filter Hosts: Mikah Sargent and Dan Moren Contact iOS Today at iOSToday@twit.tv. Download or subscribe to iOS Today at https://twit.tv/shows/ios-today Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.
Why do iMessage apps feel like a forgotten experiment, and what buried gems are still hiding behind that plus button? Dan Moren joins the show to unpack which built-in features now outshine their third-party predecessors and what that says about Apple's approach to messaging. iMessage apps' evolution, developer challenges, and user engagement declines Default iMessage features vs. true apps Sticker packs, sharing GIFs, and gameplay in Messages lose relevance Apple's default iMessage tools—photos, polls, cash, check in, send later Nuances of audio messages, dictation, and in-app differences Tips for faster photo sharing and rearranging iMessage features Real-world uses and practical limitations of iMessage's check-in feature Notable third-party iMessage app recommendations and personal favorites New: Apple's 2026 accessibility updates, including voice control, real-time captions, and AI-powered magnifier Picks of the Week: Indigo cross-network social app and Wipr 2 content filter Hosts: Mikah Sargent and Dan Moren Contact iOS Today at iOSToday@twit.tv. Download or subscribe to iOS Today at https://twit.tv/shows/ios-today Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Club TWiT members can discuss this episode and leave feedback in the Club TWiT Discord.