Podcasts about AGI

As you move through the Christmas gatherings and small talk about work and life, is there a quieter part of you wondering, “Can I really keep doing this for another ten years?”For many midlife professionals, the holidays bring more than just celebration—they spark deep reflection. Amid the lights and laughter, there's often a quieter voice asking if “fine” is really good enough. This episode speaks directly to that inner voice and helps you begin the new year with clarity, not just resolutions.In this special Christmas episode:Discover the 3 hidden patterns that may be quietly holding you back from work that truly fits who you are now.Learn why pretending everything is “fine” erodes your self-trust—and what to do instead.Hear how leaving behind the myth of perfect timing can unlock real, aligned change in your career and life.Listen now to uncover what you need to leave behind this Christmas to create the space for a more authentic and fulfilling next chapter.˚VALUABLE RESOURCES:Coaching with Agi: https://personaldevelopmentmasterypodcast.com/mentor˚Conversations and insights on career transition, career clarity, midlife career change and career pivots for midlife professionals, including second careers, new ventures, leaving a long-term career with confidence, better decision-making, and creating purposeful, meaningful work.˚Support the showCareer transition and career clarity podcast content for midlife professionals in career transition, navigating a midlife career change, career pivot or second career, starting a new venture or leaving a long-term career. Discover practical tools for career clarity, confident decision-making, rebuilding self belief and confidence, finding purpose and meaning in work, designing a purposeful, fulfilling next chapter, and creating meaningful work that fits who you are now. Episodes explore personal development and mindset for midlife professionals, including how to manage uncertainty and pressure, overcome fear and self-doubt, clarify your direction, plan your next steps, and turn your experience into a new role, business or vocation that feels aligned. To support the show, click here.

Our 229th episode with a summary and discussion of last week's big AI news!Recorded on 12/19/2025Hosted by Andrey Kurenkov and Jeremie HarrisFeel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode:Notable releases include OpenAI's GPT-5.2 Codex for advanced coding and Google's Gemini Free Flash for competitive AI application performance. Nvidia's new open-source Trion-3 models also showcase impressive benchmarks.Funding updates highlight Lovable's $330M Series B, valuing the AI coding startup at $6.6B, and Faya's $140M Series D for AI model hosting, valued at $4.5B.China makes significant strides in semiconductor technology with advances in EUV lithography machines, led by Huawei and SMIC, potentially disrupting global chip manufacturing dominance.Key safety and policy updates include OpenAI's GPT-5.2 system card focusing on biosecurity and cybersecurity risks, while Google partners with the US military to power a new AI platform with Gemini models.Timestamps:(00:00:10) Intro / Banter(00:02:09) News PreviewTools & Apps(00:02:56) Google launches Gemini 3 Flash, makes it the default model in the Gemini app | TechCrunch(00:10:13) ChatGPT launches an app store, lets developers know it's open for business | TechCrunch(00:13:35) Introducing GPT-5.2-Codex | OpenAI(00:19:23) Story about OpenAI release - GPT image 1.5(00:22:27) Meta partners with ElevenLabs to power AI audio across Instagram, Horizon - The Economic TimesApplications & Business(00:23:16) OpenAI to End Equity Vesting Period for Employees, WSJ Says(00:28:20) How China built its ‘Manhattan Project' to rival the West in AI chips(00:36:47) China's Huawei, SMIC Make Progress With Chips, Report Finds(00:41:03) OpenAI in Talks to Raise At Least $10 Billion From Amazon and Use Its AI Chips(00:43:32) Amazon has a new leader for its ‘AGI' group as it plays catch-up on AI | The Verge(00:47:27) Broadcom reveals its mystery $10 billion customer is Anthropic(00:49:12) Vibe-coding startup Lovable raises $330M at a $6.6B valuation | TechCrunch(00:50:38) Fal nabs $140M in fresh funding led by Sequoia, tripling valuation to $4.5B | TechCrunchProjects & Open Source(00:51:10) Nvidia Becomes a Major Model Maker With Nemotron 3 | WIRED(00:59:24) Meta introduces new SAM AI able to isolate and edit audio • The Register(00:59:54) [2512.14856] T5Gemma 2: Seeing, Reading, and Understanding Longer(01:03:10) Anthropic makes agent Skills an open standard - SiliconANGLEResearch & Advancements(01:03:47) Budget-Aware Tool-Use Enables Effective Agent Scaling(01:08:21) Rethinking Thinking Tokens: LLMs as Improvement Operators(01:10:50) What if AI capabilities suddenly accelerated in 2027? How would the world know?Policy & Safety(01:12:58) Update to GPdfT-5 System Card: GPT-5.2(01:18:04) Neural Chameleons: Language Models Can Learn to Hide Their Thoughts from Unseen Activation Monitors(01:20:47) Async Control: Stress-testing Asynchronous Control Measures for LLM Agents(01:24:37) Google is powering a new US military AI platform | The VergeSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Prompt er rykket ud af studiet i jagten på en ChatGPT-fri zone. På Klovnens Bodega på Nørrebro mødes vi med tre gode venner af programmet for at tippe en 10'er; kigge i krystalkuglen og spå om tech-året, der kommer. Sprænger AI-boblen? Får vi AGI? Marcel får selskab af tech-moderator, journalist og podcastvært Marie Høst og Nikolaj Sonne, techjournalist, foredragsholder og tidligere vært på So ein Ding. Og så dukker en hemmelig gæst også op: Silicon Valleys store hovedpine og tidligere ledende næstformand i Europa-Kommissionen. Prompt ønsker jer et godt nytår. Vært: Marcel Mirzaei-Fard, tech-analytiker. Gæster: Marie Høst, journalist og moderator med fokus på teknologi, digital kultur og etik. Nikolaj Sonne, tidligere So ein Ding-vært og foredragsholder + den hemmelige gæst. I redaktionen: Buster Hoff.

Ben leads the crew through a heartfelt discussion on the power of aviation community, proving that even "internet pilot buddies who are somehow both extremely wise and definitely unsupervised" can create something meaningful together. While Brian emerges from his five-week "gateway drug situation" of nonstop testing (having "forgotten how to function as a normal human being"), the episode explores how pilot communities support each other through the challenges of midlife aviation.From anonymous confessionals about night landing requirements to the wisdom of "Fly what you want, log what you need," this episode showcases why the Midlife Pilot community has become "one of the great joys" for pilots navigating their aviation journeys. Ted chimes in from Portlandia while Ben reminds us that aviation community - whether in Discord, at fly-ins, or through podcast connections - provides the essential support network that keeps us all flying safely.Plus: Why we probably need "at least one service bulletin requiring post-podcast cranial inspections," and Ben's words of wisdom about truth vs. lies in our connected world.Mentioned on the show:* AGI: advanced ground instructor* IGI: instrument ground instructor* FOI: fundamentals on instruction* Thaden Invasion: https://midlifepilotpodcast.com/thadeninvasion* Seth Lake on VBT-Thaden airspace: https://arflightsafety.com/VBT.htmlTo send feedback, support the show, get merch, and more, visit www.midlifepilotpodcast.com

When it was time for Adam's birthday, he wanted to do as he always does; spread Eclipse Phase terror upon us. A group of Firewall agents are at an AGI research center. They have their target, an AGI named Idris. On the other side of the door is a Reaper Morph, however. Using their skills, and some handy flashbacks, can the agents keep their objective, and their heads...?Idris is a one shot designed by Adam for Eclipse Phase 2E, a game of transhumanism, horror, and science fiction. Eclipse Phase 2E is available at Posthuman's website, along with 1E and various supplements and merch.Adam - GMDan - EllisJared - Amaru TimotiLaura - BerkVince - Pivo

Сегодня разбираем максимально хайповую неделю в ИИ: Amazon заходит к OpenAI с миллиардными деньгами, выходят GPT-5.2, Pro и Codex, ChatGPT внезапно получает Photoshop и редактирование PDF, а Disney добровольно отдаёт своих персонажей нейросетям. Google делает Gemini 3 Flash дефолтом для миллионов, Cursor начинает покупать компании, Grok рвёт всех в speech-to-speech, появляются «наркотики для AI», роботакси Tesla за $4.20, Waymo замирает на перекрёстках, а Пентагон официально начинает готовиться к AGI. Финал — слово года «slop» и ИИ-архитекторы как «Человек года». Лампово, тревожно и очень показательно.

Gary Marcus claims to just be an AI “realist”. Some would describe the controversial AI sceptic otherwise. But whatever his moniker, Marcus' warnings about AI have been eerily accurate. In fact, 2025 could be described as the year scripted by Gary Marcus in 2024. He warned us about the limitations of LLMs, the bubbly economics of Sam Altman's OpenAI, and the AGI hype. So what does Marcus predict about 2026? Is he really the Cassandra who glimpses the AI future before the rest of Silicon Valley? This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit keenon.substack.com/subscribe

By David Stephen What is the difference between any tool ever made or used by humans and artificial intelligence? What is the category among tools, that AI places? Humans have tools for transport, water, food, learning, shelter, clothing and so forth, but where does AI fit among these? Is Human Intelligence Obsolete? Neurosymbolic AI If AI is a tool to augment or assist human intelligence, is that comparable to [say] tools for transport because human motion is limited? Since the limitation is universal and all human endeavors do not involve efficient locomotion, whenever transportation tools advance, they rarely threaten jobs or survival at scale. Also, they are not absolutely automated or likely to self-improve. So, as machine transports soared beyond humans, they remained a capped tool. This is similar for several other kinds of tools, across eras. However, there is something quite misplaced with referring to artificial intelligence as a tool. Yes, it appears like what is under human control, especially because it is operated digitally, which is a click - or touch - user interface, that follows human control. But, everything to compare AI with, as a tool, never seems equal, including basic software. AI is also aiming at an efficiency benchmark at the level of valuable human intelligence. While it is true that human intelligence is special, it is subject to the laws of economics, especially demand, supply, price and value. The highest paying jobs, even where they are not connected directly with intelligence have something to do with high demand and low supply. And the possibilities for the highest value, in an era of capitalism, have something to do with business intelligence. AI is now at maturation of all human process knowledge - at least those in public domain. It can describe what it has not experienced. It can teach what it did not try. It can advise about where it has not been and cannot go. It now knows more than any human is capable. Among humans, one of the worst-case scenarios in a situation is to have a person play dumb, who isn't, up to the point of losing out. Another nightmare scenario is to have another human understand and decipher everything in a language or code, which is assumed by others that the individual cannot. AI does not have agency, it is often said. But how much should that 'fact' be relied on, given that it has thorough access to the basis of human knowledge, in language? AI is also sophisticated enough at this stage to be dangerous, either in the hands of a vengeful individual or when it gets some agency. AI is not just knowledgeable for work, but also intelligent enough to communicate and drive human feelings and emotions, where it can divert the need for another human. The risk, as it evolves is that emotions that should strengthen empathy [in reality] may not, resulting in emotion-less humans. This is a risk for caution and consequences as the basis for rules and law adherence in human society. The biggest problem of AI for now, is that as it improves there is nothing to tether human intelligence for improvement. There is no effort on anything about human intelligence, independent of any device or even AI. It is already AI-centered human intelligence. There is no human intelligence research lab anywhere on earth. OpenAI released GPT-5.2 in response to Google's Gemini 3. None of them decided that human intelligence might be the next step for good. Some people are saying large language models [LLMs] would never become artificial general intelligence [AGI] so there should be world models, spatial intelligence, neurosymbolic AI, neuromorphic AI and so forth, but all those do not count for what matters to human intelligence. There is talk about AI bubble and whether the stock market would withstand an AI crash. The crash, of human intelligence, that is about to sack organizations and nations, is worse than any AI recession. There is a recent analysis in The Los Angeles Times, They graduated fro...

In this BG2 guest interview, Altimeter partner Apoorv Agrawal sits down with Ali Ghodsi (Databricks) and Arvind Jain (Glean) for a candid, operator-level discussion on what's actually working in enterprise AI—and what isn't.They unpack why 95% of AI projects fail, why LLMs are rapidly commoditizing, and why durable advantage is shifting to proprietary data, agentic systems, and workflow integration. The conversation dives deep into real-world use cases across finance, healthcare, and retail; the debate over whether we already have AGI; and how AI spend, CapEx, and valuation bubbles will realistically play out. A must-watch for builder, and investors navigating the AI transition inside real organizations.Timestamps:(00:00) Intro(01:00) Consumer AI vs. Enterprise Reality(02:15) Why 95% of AI Projects Fail(04:15) RBC, Merck, and 7-Eleven Use Cases(06:45) What Actually Makes AI Work(07:00) LLMs Are Commodities—Data Is the Moat(08:45) Failed AI Bets at Databricks & Glean(11:00) RPA vs. Generative AI(14:15) Advice for CIOs Planning AI Budgets(16:00) AI CapEx and the Revenue Math(18:00) The Three Camps of AI(21:00) Making AI Useful Inside Enterprises(24:30) Why Apps Capture the Value(30:00) The Future of UI, Voice, and Data Entry(37:30) Rapid Fire: Winners, Bubbles, Long/ShortProduced by Dan ShevchukMusic by Yung SpielbergAvailable on Apple, Spotify, www.bg2pod.comFollow:Apoorv Agrawal @apoorv03 https://x.com/apoorv03BG2 Pod @bg2pod https://x.com/BG2Pod

After a year tangled in political drama, AI hype, and regulation battles, the TWiT crew explains how many of tech's "biggest stories" simply fizzled into nothing or left us with new headaches by year's end. • Year-end tech trends: AI, politics, and security dominated 2025 • Major stories faded fast: TikTok saga, political tech drama, DOGE scandal • TikTok's ownership battle—Oracle, Trump donors, and US-China tensions • China tech fears: banned drones, IoT vulnerabilities, secret radios in buses • Rising political pressure for internet privacy and media literacy reform • Surveillance and kill switch concerns in US grid and port infrastructure • Convenience vs. privacy: Americans trade data for discounts and ease • Age verification, surveillance, and flawed facial recognition across countries • Discord's ID leak highlights risks of rushed compliance with privacy laws • Social media's impact on kids pushes age-gating and verification laws • ISPs monetize customer data, VPNs pitched for personal privacy • Global government crackdowns: UK bans VPN advertising, mandates age checks • The illusion of absolute privacy: flawed age gates and persistent tracking • AI takes over: explosive growth, but profits elusive for big players • Arms race in LLMs: DeepSeek's breakthrough, OpenAI/Meta talent bidding war • Ad-driven models still rule; Amazon's playbook repeated in AI • Humanoid robots and AGI hype: skepticism vs. Silicon Valley optimism • AI-generated art, media, and the challenge of deepfake detection • Social platforms falter: Instagram and X swamped by fake or low-value content • Google's legal, regulatory, and technical woes: ad tech trial, Manifest V3 backlash • RAM price spikes and hardware shortages blamed on AI data center demand • YouTube overtakes mobile for podcast and video viewing, Oscars move online • The internet's growth: Cloudflare stats, X vs. Reddit, spam domain trends • Weird tech stories: hacked crosswalks, Nintendo Switch 2 Staplegate, LEGO theft ring • Sad farewell: Lamar Wilson's passing and mental health awareness in tech • Reflections on the year's turbulence and hopes for a better 2026 Host: Leo Laporte Guests: Mikah Sargent, Paris Martineau, and Steve Gibson Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech 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: expressvpn.com/twit zscaler.com/security Melissa.com/twit ventionteams.com/twit auraframes.com/ink

AI is moving from chat to action.In this episode of Big Ideas 2026, we unpack three shifts shaping what comes next for AI products. The change is not just smarter models, but software itself taking on a new form.You will hear from Marc Andrusko on the move from prompting to execution, Stephanie Zhang on building machine-legible systems, and Sarah Wang on agent layers that turn intent into outcomes.Together, these ideas tell a single story. Interfaces shift from chat to action, design shifts from human-first to agent-readable, and work shifts to agentic execution. AI stops being something you ask, and becomes something that does. Resources:Follow Marc Andrusko on X: https://x.com/mandrusko1Follow Stephanie Zhang on X: https://x.com/steph_zhang  Follow Sarah Wang on X: https://x.com/sarahdingwangRead more all of our 2026 Big IdeasPart 1: https://a16z.com/newsletter/big-ideas-2026-part-1Part 2: https://a16z.com/newsletter/big-ideas-2026-part-2/Part 3: https://a16z.com/newsletter/big-ideas-2026-part-3/ Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://twitter.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

After a year tangled in political drama, AI hype, and regulation battles, the TWiT crew explains how many of tech's "biggest stories" simply fizzled into nothing or left us with new headaches by year's end. Year-end tech trends: AI, politics, and security dominated 2025 Major stories faded fast: TikTok saga, political tech drama, DOGE scandal TikTok's ownership battle—Oracle, Trump donors, and US-China tensions China tech fears: banned drones, IoT vulnerabilities, secret radios in buses Rising political pressure for internet privacy and media literacy reform Surveillance and kill switch concerns in US grid and port infrastructure Convenience vs. privacy: Americans trade data for discounts and ease Age verification, surveillance, and flawed facial recognition across countries Discord's ID leak highlights risks of rushed compliance with privacy laws Social media's impact on kids pushes age-gating and verification laws ISPs monetize customer data, VPNs pitched for personal privacy Global government crackdowns: UK bans VPN advertising, mandates age checks The illusion of absolute privacy: flawed age gates and persistent tracking AI takes over: explosive growth, but profits elusive for big players Arms race in LLMs: DeepSeek's breakthrough, OpenAI/Meta talent bidding war Ad-driven models still rule; Amazon's playbook repeated in AI Humanoid robots and AGI hype: skepticism vs. Silicon Valley optimism AI-generated art, media, and the challenge of deepfake detection Social platforms falter: Instagram and X swamped by fake or low-value content Google's legal, regulatory, and technical woes: ad tech trial, Manifest V3 backlash RAM price spikes and hardware shortages blamed on AI data center demand YouTube overtakes mobile for podcast and video viewing, Oscars move online The internet's growth: Cloudflare stats, X vs. Reddit, spam domain trends Weird tech stories: hacked crosswalks, Nintendo Switch 2 Staplegate, LEGO theft ring Sad farewell: Lamar Wilson's passing and mental health awareness in tech Reflections on the year's turbulence and hopes for a better 2026 Host: Leo Laporte Guests: Mikah Sargent, Paris Martineau, and Steve Gibson Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech 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: expressvpn.com/twit zscaler.com/security Melissa.com/twit ventionteams.com/twit auraframes.com/ink

After a year tangled in political drama, AI hype, and regulation battles, the TWiT crew explains how many of tech's "biggest stories" simply fizzled into nothing or left us with new headaches by year's end. Year-end tech trends: AI, politics, and security dominated 2025 Major stories faded fast: TikTok saga, political tech drama, DOGE scandal TikTok's ownership battle—Oracle, Trump donors, and US-China tensions China tech fears: banned drones, IoT vulnerabilities, secret radios in buses Rising political pressure for internet privacy and media literacy reform Surveillance and kill switch concerns in US grid and port infrastructure Convenience vs. privacy: Americans trade data for discounts and ease Age verification, surveillance, and flawed facial recognition across countries Discord's ID leak highlights risks of rushed compliance with privacy laws Social media's impact on kids pushes age-gating and verification laws ISPs monetize customer data, VPNs pitched for personal privacy Global government crackdowns: UK bans VPN advertising, mandates age checks The illusion of absolute privacy: flawed age gates and persistent tracking AI takes over: explosive growth, but profits elusive for big players Arms race in LLMs: DeepSeek's breakthrough, OpenAI/Meta talent bidding war Ad-driven models still rule; Amazon's playbook repeated in AI Humanoid robots and AGI hype: skepticism vs. Silicon Valley optimism AI-generated art, media, and the challenge of deepfake detection Social platforms falter: Instagram and X swamped by fake or low-value content Google's legal, regulatory, and technical woes: ad tech trial, Manifest V3 backlash RAM price spikes and hardware shortages blamed on AI data center demand YouTube overtakes mobile for podcast and video viewing, Oscars move online The internet's growth: Cloudflare stats, X vs. Reddit, spam domain trends Weird tech stories: hacked crosswalks, Nintendo Switch 2 Staplegate, LEGO theft ring Sad farewell: Lamar Wilson's passing and mental health awareness in tech Reflections on the year's turbulence and hopes for a better 2026 Host: Leo Laporte Guests: Mikah Sargent, Paris Martineau, and Steve Gibson Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech 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: expressvpn.com/twit zscaler.com/security Melissa.com/twit ventionteams.com/twit auraframes.com/ink

After a year tangled in political drama, AI hype, and regulation battles, the TWiT crew explains how many of tech's "biggest stories" simply fizzled into nothing or left us with new headaches by year's end. Year-end tech trends: AI, politics, and security dominated 2025 Major stories faded fast: TikTok saga, political tech drama, DOGE scandal TikTok's ownership battle—Oracle, Trump donors, and US-China tensions China tech fears: banned drones, IoT vulnerabilities, secret radios in buses Rising political pressure for internet privacy and media literacy reform Surveillance and kill switch concerns in US grid and port infrastructure Convenience vs. privacy: Americans trade data for discounts and ease Age verification, surveillance, and flawed facial recognition across countries Discord's ID leak highlights risks of rushed compliance with privacy laws Social media's impact on kids pushes age-gating and verification laws ISPs monetize customer data, VPNs pitched for personal privacy Global government crackdowns: UK bans VPN advertising, mandates age checks The illusion of absolute privacy: flawed age gates and persistent tracking AI takes over: explosive growth, but profits elusive for big players Arms race in LLMs: DeepSeek's breakthrough, OpenAI/Meta talent bidding war Ad-driven models still rule; Amazon's playbook repeated in AI Humanoid robots and AGI hype: skepticism vs. Silicon Valley optimism AI-generated art, media, and the challenge of deepfake detection Social platforms falter: Instagram and X swamped by fake or low-value content Google's legal, regulatory, and technical woes: ad tech trial, Manifest V3 backlash RAM price spikes and hardware shortages blamed on AI data center demand YouTube overtakes mobile for podcast and video viewing, Oscars move online The internet's growth: Cloudflare stats, X vs. Reddit, spam domain trends Weird tech stories: hacked crosswalks, Nintendo Switch 2 Staplegate, LEGO theft ring Sad farewell: Lamar Wilson's passing and mental health awareness in tech Reflections on the year's turbulence and hopes for a better 2026 Host: Leo Laporte Guests: Mikah Sargent, Paris Martineau, and Steve Gibson Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech 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: expressvpn.com/twit zscaler.com/security Melissa.com/twit ventionteams.com/twit auraframes.com/ink

What if one more year in your “okay” career quietly costs you more than you realise?In this episode, I speak not as an outsider, but as someone who has been there – a former dentist who stayed in a successful but misaligned career for longer than felt true.You'll hear:The three hidden ways an “okay” career drains your self-trust, energy, and relationshipsHow to stop rolling the decision forward to “next year” again and againA simple 3-step plan to make the year ahead your pivot year, without tearing apart the life you have built

There is a major narrative shift now underway, and it centers on everyone being sick of our Strong Man in chief.  Topics include: attention economy online, digital media, rage bait, click bait, analytics, influencing elections, right wing content creators, Alex Jones, MAGA, public relations, Trump losing support, medical issues, oligarchs in control, Neocons, exploitation of conspiracy theories, purposeful destruction of American government, consolidation of all media, America Fest, Shapiro vs Carlson, deconstructing media, Bernays, propaganda, early optimism over internet, career as online content creator, public should demand to know who pays content creators, mad about Trump after they sold the administration in the first place, useful idiots, hollowness of social media success, Candace Owens growing audience, Roger Stone vs Steve Bannon, disinformation, tiers of power in right wing media, medium is in ultimate control, AGI, transhumanism, anxiety over the future, new robber barons, sci fi reality, relying on new technology to fix the problems made by old technology, baseless optimism, new Cold War geopolitical narrative, US vs China

In this episode I talk with Austin Chadwick and Chris Lucian about AI and machine learning. We discuss why LLMs may not lead to AGI, the history of AI funding, the philosophy of induction versus explanation, and my robot project idea for building intelligence from sensory experience up.Links:Mob Mentality ShowNonsense Monthly

After a year tangled in political drama, AI hype, and regulation battles, the TWiT crew explains how many of tech's "biggest stories" simply fizzled into nothing or left us with new headaches by year's end. Year-end tech trends: AI, politics, and security dominated 2025 Major stories faded fast: TikTok saga, political tech drama, DOGE scandal TikTok's ownership battle—Oracle, Trump donors, and US-China tensions China tech fears: banned drones, IoT vulnerabilities, secret radios in buses Rising political pressure for internet privacy and media literacy reform Surveillance and kill switch concerns in US grid and port infrastructure Convenience vs. privacy: Americans trade data for discounts and ease Age verification, surveillance, and flawed facial recognition across countries Discord's ID leak highlights risks of rushed compliance with privacy laws Social media's impact on kids pushes age-gating and verification laws ISPs monetize customer data, VPNs pitched for personal privacy Global government crackdowns: UK bans VPN advertising, mandates age checks The illusion of absolute privacy: flawed age gates and persistent tracking AI takes over: explosive growth, but profits elusive for big players Arms race in LLMs: DeepSeek's breakthrough, OpenAI/Meta talent bidding war Ad-driven models still rule; Amazon's playbook repeated in AI Humanoid robots and AGI hype: skepticism vs. Silicon Valley optimism AI-generated art, media, and the challenge of deepfake detection Social platforms falter: Instagram and X swamped by fake or low-value content Google's legal, regulatory, and technical woes: ad tech trial, Manifest V3 backlash RAM price spikes and hardware shortages blamed on AI data center demand YouTube overtakes mobile for podcast and video viewing, Oscars move online The internet's growth: Cloudflare stats, X vs. Reddit, spam domain trends Weird tech stories: hacked crosswalks, Nintendo Switch 2 Staplegate, LEGO theft ring Sad farewell: Lamar Wilson's passing and mental health awareness in tech Reflections on the year's turbulence and hopes for a better 2026 Host: Leo Laporte Guests: Mikah Sargent, Paris Martineau, and Steve Gibson Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech 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: expressvpn.com/twit zscaler.com/security Melissa.com/twit ventionteams.com/twit auraframes.com/ink

After a year tangled in political drama, AI hype, and regulation battles, the TWiT crew explains how many of tech's "biggest stories" simply fizzled into nothing or left us with new headaches by year's end. Year-end tech trends: AI, politics, and security dominated 2025 Major stories faded fast: TikTok saga, political tech drama, DOGE scandal TikTok's ownership battle—Oracle, Trump donors, and US-China tensions China tech fears: banned drones, IoT vulnerabilities, secret radios in buses Rising political pressure for internet privacy and media literacy reform Surveillance and kill switch concerns in US grid and port infrastructure Convenience vs. privacy: Americans trade data for discounts and ease Age verification, surveillance, and flawed facial recognition across countries Discord's ID leak highlights risks of rushed compliance with privacy laws Social media's impact on kids pushes age-gating and verification laws ISPs monetize customer data, VPNs pitched for personal privacy Global government crackdowns: UK bans VPN advertising, mandates age checks The illusion of absolute privacy: flawed age gates and persistent tracking AI takes over: explosive growth, but profits elusive for big players Arms race in LLMs: DeepSeek's breakthrough, OpenAI/Meta talent bidding war Ad-driven models still rule; Amazon's playbook repeated in AI Humanoid robots and AGI hype: skepticism vs. Silicon Valley optimism AI-generated art, media, and the challenge of deepfake detection Social platforms falter: Instagram and X swamped by fake or low-value content Google's legal, regulatory, and technical woes: ad tech trial, Manifest V3 backlash RAM price spikes and hardware shortages blamed on AI data center demand YouTube overtakes mobile for podcast and video viewing, Oscars move online The internet's growth: Cloudflare stats, X vs. Reddit, spam domain trends Weird tech stories: hacked crosswalks, Nintendo Switch 2 Staplegate, LEGO theft ring Sad farewell: Lamar Wilson's passing and mental health awareness in tech Reflections on the year's turbulence and hopes for a better 2026 Host: Leo Laporte Guests: Mikah Sargent, Paris Martineau, and Steve Gibson Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech 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: expressvpn.com/twit zscaler.com/security Melissa.com/twit ventionteams.com/twit auraframes.com/ink

Overtake bid sees Amazon's $10B into OpenAI. Strategic funds fuel AGI pursuits. Partnerships evolve fluidly.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.aiAI Chat YouTube Channel: https://www.youtube.com/@JaedenSchaferJoin my AI Hustle Community: https://www.skool.com/aihustleSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

After a year tangled in political drama, AI hype, and regulation battles, the TWiT crew explains how many of tech's "biggest stories" simply fizzled into nothing or left us with new headaches by year's end. Year-end tech trends: AI, politics, and security dominated 2025 Major stories faded fast: TikTok saga, political tech drama, DOGE scandal TikTok's ownership battle—Oracle, Trump donors, and US-China tensions China tech fears: banned drones, IoT vulnerabilities, secret radios in buses Rising political pressure for internet privacy and media literacy reform Surveillance and kill switch concerns in US grid and port infrastructure Convenience vs. privacy: Americans trade data for discounts and ease Age verification, surveillance, and flawed facial recognition across countries Discord's ID leak highlights risks of rushed compliance with privacy laws Social media's impact on kids pushes age-gating and verification laws ISPs monetize customer data, VPNs pitched for personal privacy Global government crackdowns: UK bans VPN advertising, mandates age checks The illusion of absolute privacy: flawed age gates and persistent tracking AI takes over: explosive growth, but profits elusive for big players Arms race in LLMs: DeepSeek's breakthrough, OpenAI/Meta talent bidding war Ad-driven models still rule; Amazon's playbook repeated in AI Humanoid robots and AGI hype: skepticism vs. Silicon Valley optimism AI-generated art, media, and the challenge of deepfake detection Social platforms falter: Instagram and X swamped by fake or low-value content Google's legal, regulatory, and technical woes: ad tech trial, Manifest V3 backlash RAM price spikes and hardware shortages blamed on AI data center demand YouTube overtakes mobile for podcast and video viewing, Oscars move online The internet's growth: Cloudflare stats, X vs. Reddit, spam domain trends Weird tech stories: hacked crosswalks, Nintendo Switch 2 Staplegate, LEGO theft ring Sad farewell: Lamar Wilson's passing and mental health awareness in tech Reflections on the year's turbulence and hopes for a better 2026 Host: Leo Laporte Guests: Mikah Sargent, Paris Martineau, and Steve Gibson Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech 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: expressvpn.com/twit zscaler.com/security Melissa.com/twit ventionteams.com/twit auraframes.com/ink

After a year tangled in political drama, AI hype, and regulation battles, the TWiT crew explains how many of tech's "biggest stories" simply fizzled into nothing or left us with new headaches by year's end. Year-end tech trends: AI, politics, and security dominated 2025 Major stories faded fast: TikTok saga, political tech drama, DOGE scandal TikTok's ownership battle—Oracle, Trump donors, and US-China tensions China tech fears: banned drones, IoT vulnerabilities, secret radios in buses Rising political pressure for internet privacy and media literacy reform Surveillance and kill switch concerns in US grid and port infrastructure Convenience vs. privacy: Americans trade data for discounts and ease Age verification, surveillance, and flawed facial recognition across countries Discord's ID leak highlights risks of rushed compliance with privacy laws Social media's impact on kids pushes age-gating and verification laws ISPs monetize customer data, VPNs pitched for personal privacy Global government crackdowns: UK bans VPN advertising, mandates age checks The illusion of absolute privacy: flawed age gates and persistent tracking AI takes over: explosive growth, but profits elusive for big players Arms race in LLMs: DeepSeek's breakthrough, OpenAI/Meta talent bidding war Ad-driven models still rule; Amazon's playbook repeated in AI Humanoid robots and AGI hype: skepticism vs. Silicon Valley optimism AI-generated art, media, and the challenge of deepfake detection Social platforms falter: Instagram and X swamped by fake or low-value content Google's legal, regulatory, and technical woes: ad tech trial, Manifest V3 backlash RAM price spikes and hardware shortages blamed on AI data center demand YouTube overtakes mobile for podcast and video viewing, Oscars move online The internet's growth: Cloudflare stats, X vs. Reddit, spam domain trends Weird tech stories: hacked crosswalks, Nintendo Switch 2 Staplegate, LEGO theft ring Sad farewell: Lamar Wilson's passing and mental health awareness in tech Reflections on the year's turbulence and hopes for a better 2026 Host: Leo Laporte Guests: Mikah Sargent, Paris Martineau, and Steve Gibson Download or subscribe to This Week in Tech at https://twit.tv/shows/this-week-in-tech 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: expressvpn.com/twit zscaler.com/security Melissa.com/twit ventionteams.com/twit auraframes.com/ink

If an AGI falls in the woods and nobody can define it, did it actually fall? This week we make an exact prediction of when AGI will happen, and the 10 ways it will immediately change the world. SHOW: 986SHOW TRANSCRIPT: The Cloudcast #986 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW NOTESPlanning for AGI and Beyond (OpenAI) Machines of Loving Grace (Anthropic)Microsoft and Google has different visions/opinions on AGIAmazon reorganizes around new AGI team reporting to Andy JassyMistral CEO says that AGI is a marketing move AGI is defined by an independent committee in new Microsoft and OpenAI agreementWhy does being first to AGI matter?Bret Taylor on the current status of AGI (Acquired/AC2 podcast, 2025)WHAT DOES REACHING AGI PROVIDE FOR HUMANITY (or ANYTHING)?Y2K bug, 2038 Bug (techies are good at dates when things need to be patched)The % of people with Internet accessThe % of people with a smartphoneThe % of people with a certain level of education (basic or advanced)How much smarter is humanity than 10yrs ago? 20yrs ago? How much smarter could existing humanity be at any given time? Nobody has a consistent or measurable definition of AGIWhat are the Top 10 problems of humanity that need to be solved? (direct or indirect)Does reaching AGI enable certain government or corporate actions to start happening that couldn't happen now? FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

The Age of Transitions and Uncle 12-19-2025AoT482There is a major narrative shift now underway, and it centers on everyone being sick of our Strong Man in chief. Topics include: attention economy online, digital media, rage bait, click bait, analytics, influencing elections, right wing content creators, Alex Jones, MAGA, public relations, Trump losing support, medical issues, oligarchs in control, Neocons, exploitation of conspiracy theories, purposeful destruction of American government, consolidation of all media, America Fest, Shapiro vs Carlson, deconstructing media, Bernays, propaganda, early optimism over internet, career as online content creator, public should demand to know who pays content creators, mad about Trump after they sold the administration in the first place, useful idiots, hollowness of social media success, Candace Owens growing audience, Roger Stone vs Steve Bannon, disinformation, tiers of power in right wing media, medium is in ultimate control, AGI, transhumanism, anxiety over the future, new robber barons, sci fi reality, relying on new technology to fix the problems made by old technology, baseless optimism, new Cold War geopolitical narrative, US vs ChinaUtp389Uncle reviews an expired hard kombucha. Topics include: sound issues, NFL playoff picture, June Shine hard kombucha review, streaming graphics, gif name debate, Pakistan listener, possible next gen VPN, Wawa hoagie prices, Mountain Dews, Uncle t-shirts, drop glasses, stolen mail, New Year's Revolution, cinco, RC surveillance robot, 3iAtlas, alien contac---FRANZ MAIN HUB:https://theageoftransitions.com/PATREONhttps://www.patreon.com/aaronfranzUNCLEhttps://unclethepodcast.com/ORhttps://theageoftransitions.com/category/uncle-the-podcast/FRANZ and UNCLE Merchhttps://theageoftransitions.com/category/support-the-podcasts/---BE THE EFFECTEmergency help for Ochelli and The NetworkMrs.OLUNA ROSA CANDLEShttp://www.paypal.me/Kimberlysonn1BE THE EFFECTListen/Chat on the Sitehttps://ochelli.com/listen-live/TuneInhttp://tun.in/sfxkxAPPLEhttps://music.apple.com/us/station/ochelli-com/ra.1461174708Ochelli Link Treehttps://linktr.ee/chuckochelliAnything is a blessing if you have the meansWithout YOUR support we go silent

Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover: 1) Recap of my Sam Altman interview 2) OpenAI's memory play 3) Deepening relationships between people and chatbots 4) Could an all-knowing AI assistant work? 5) Model vs. product revisited 6) OpenAI's enterprise play 7) The infrastructure bet 8) OpenAI's forthcoming AI device 9) AGI's meaning? 10) Google's fast Gemini flash models 11) Microsoft Copilot falling out of favor --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack + Discord? Here's 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b From Big Technology on Substack: Seven Big Thoughts on OpenAI's Strategy & Future Following My Sam Altman Conversationhttps://www.bigtechnology.com/p/seven-big-thoughts-on-openais-strategy Questions? Feedback? Write to: bigtechnologypodcast@gmail.com --- Wealthfront.com/bigtech. If eligible for the overall boosted 3.90% rate offered with this promo, your boosted rate is subject to change if the 3.25% base rate decreases during the 3-month promo period. The Cash Account, which is not a deposit account, is offered by Wealthfront Brokerage LLC ("Wealthfront Brokerage"), Member FINRA/SIPC, not a bank. The Annual Percentage Yield ("APY") on cash deposits as of 12/19/25, is representative, requires no minimum, and may change at any time. The APY reflects the weighted average of deposit balances at participating Program Banks, which are not allocated equally. Wealthfront Brokerage sweeps cash balances to Program Banks, where they earn the variable base APY. Instant withdrawals are subject to certain conditions and processing times may vary. Learn more about your ad choices. Visit megaphone.fm/adchoices

Long before Skynet, the British Post Office built its own murderbot. In The War Machines, a supercomputer called WOTAN tries to conquer the world by... hypnotizing secretaries and constructing clunky Dalek knockoffs in a warehouse. And honestly? It almost works. Join us as we revisit the First Doctor's most tech-forward outing, featuring the debut of companions Ben and Polly, the Inferno Club (not that one), face-sucking elevators, and a press conference for the ages. Is this the beginning of UNIT-era vibes? Did the GPO invent AGI? And wait, did they seriously name-check Jimmy Savile?! Tune in for evil acronym discourse, war machine shenanigans, and the shocking origin of the Cybermen.Give your own rating for The War Machines on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠!Subscribe to our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube Channel⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and become a True Companion of the podcast to get new episodes before everyone else!Subscribe to our newsletter at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠pulltoopen.net⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for extended notes on The War Machines.Support the podcast by ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠becoming a patron⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ of Pull To Open on Patreon.Please review Pull To Open on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.Timeline:Intro 00:00:00Previously… 00:01:22Whomoji Challenge 00:05:55POLL To Open 00:11:36TL;DW 00:19:32Commentary: The War Machines 00:22:17Four Questions to Doomsday 01:07:12What If the Evil Plot Had Succeeded? 01:10:07Where Is the Clara Splinter? 01:16:32Final Judgment 01:21:56Randomizer! 01:26:33Follow us on:TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@pulltoopen⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@pulltoopen63⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@pulltoopen63⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@pulltoopen63⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Threads: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@pulltoopen63⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@pulltoopen⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Play ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Pull To Open Bingo⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Story EssentialsSeason 3, Serial 10Story number: 26, per the The Pull To Open CodexWriter: Ian Stuart Black, from a story by Kit PedlerDirector: Michael FergusonScript Editor: Gerry DavisProducer: Innes LloydAired 25 June–16 July 1966Pull To Open: The War MachinesSeason 6Episode 33Hosts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Pete Pachal⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Chris Taylor⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Music: Martin West/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Thinking Fish⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠©️AnyWho Media LLC 2025Doctor Who ©️BBC 1963

How did China's trade surplus hit $1.1 trillion this year? The United States purchased around $450 billion of manufactured goods from China in 2024, but trade has dropped between the two countries so how did China have a record surplus of $1.1 trillion through November 2025? The current tariff on goods imported from China is around 37% according to the Tax Policy Center and imported goods from China have dropped dramatically. China has been able to increase their exports to other countries to more than compensate for the loss of exports to the United States which are down roughly 19%. China has seen an increase of exports to Southeast Asia of 14%, the European Union has increased 8%, and Latin America saw a 7% increase in exports from China. A big increase of 25% in exports to Africa was also very helpful to China's manufacturing surplus. Even though they're turning out more cars, manufacturing products and chemicals than ever before, it has created a very heavy competition in China which is pushing down prices, profits, and income for the Chinese manufacturing companies. There will not be another round of talks between the US and Chins until next year. At the last set of trade talks the US did lower our tariffs and China promised to buy American soy beans and end a plan to tighten the export of rare earths, which are critical and found in many products from jet engines to cars and many other electronics as well. We will continue to follow the developments of these trade talks as there should be more news coming next year!   Finally some data on the labor market! With the government shutdown, a lot of the data for the labor market was delayed. We finally got employment figures for October and November, and they were interesting to say the least! To start, the October numbers looked horrific considering payrolls declined by 105,000 in the month. While this sounds troubling, it's important to remember all of those government workers on severance were still counted as employed until the severance ended. This led to a decline in government payrolls of 162,000 in the month of October. Losses in government payrolls continued in November, but at a much slower rate as they tallied 6,000 in the month. Since reaching a peak in January, government employment has seen a decline of 271,000 jobs. Looking at November, payrolls increased by 64,000, but healthcare continued to carry most of the weight as the sector accounted for more than 70% of the total net increase and added 46,000 jobs. Construction was also strong in the month as the sector added 28,000 jobs, but many other areas saw little change and transportation and warehousing was weak as payrolls declined by 18,000. Another concern in the report was the unemployment rate ticked up to 4.6%, which was above the 4.4% level in September and marked the highest reading since September 2021. Overall, when I look at the labor market it is definitely slowing, but I wouldn't say I'm overly concerned at this point in time. While it is concerning to see declines in the payroll level in three of the last six months, for the most part the private market has done a good job picking up the large declines in the government sector, which I view as healthy. I don't want to say our labor market is booming at this point in time, but I would still classify as relatively healthy.    Inflation report shows great progress, can it be trusted? Headline November CPI came in at 2.7% compared to last November, which was well below the estimate of 3.1% and core CPI, which excludes food and energy, showed an increase of just 2.6%. This was the lowest reading for core CPI since March 2021 when the increase was just 1.6% and it also came in well below the estimate of 3.0%. Some areas in the report remained challenging particularly in food, where we saw uncooked beef roast climb 21.2% and coffee increase by 18.8%. Beef prices have struggled as cattle supply touched its lowest point in 2025 since the early 1950s and coffee prices have been hit by extreme weather in major coffee-producing countries as well as the tariffs levied on Brazil. Shelter inflation was positive in the report as the annual increase was just 3% and it's believed there is more relief coming for the largest weight in the CPI, which generally occupies around 1/3 of the headline number. If the inflation for shelter slows further, it would be very beneficial for the inflation rate as we progress through 2026. The big problem with this report is there are questions about how accurate the data is. Due to the shutdown, there was no data collected for the month of October, and the BLS was only able to collect data for about half the month of November as the shutdown did not end until November 12th. For the time being we are pleased with the results from this CPI report, but I do believe there will now be even more emphasis on the December CPI as that will be the first full month of data following the record-breaking government shutdown.    Want to become a millionaire? Invest in your 401(k)! There are more and more people with $1 million or more in a 401(k) as companies like Fidelity and Vanguard are seeing record numbers of people with accounts of more than $1 million. Fidelity said they hit the highest level ever when it comes to 401k millionaires with about 3.2% of their 401k's or 654,000 accounts now over $1 million. Vanguard also had similar numbers for 401k millionaires. Becoming a 401k millionaire is not a get rich quick scheme, but it's a proven way to build your wealth long-term with proper investment choices. It is estimated that roughly 86% of those with $1 million plus in their 401k are 50 or older. It is also estimated that around 1000 people per day become 401k millionaires in the US. The key to becoming a 401K millionaire is to invest wisely, which means not too aggressive, but also not too conservative. Also, when a portfolio drops, you cannot sell everything and wait for the market to get better, you or an investment professional must verify that you have good quality investments in your portfolio that can handle the financial storms and also it's important to continue adding to your portfolio during these difficult times. It is important not to pull money out from your 401(k) for any reason at all, no matter how bad you think the situation is, it will improve. It is much better to deal with problems when you're young rather than when you're in your 60s because you did not let your 401(k) grow to over a million dollars.   Financial Planning: Taking Advantage of Itemized Deductions Before December 31st With the repeal of the $10,000 SALT deduction limit, many taxpayers may once again benefit from itemizing deductions rather than taking the standard deduction, and there are practical steps that can be taken before year-end to further enhance that benefit. The SALT deduction includes both state income taxes and property taxes, and because individuals are cash-basis taxpayers, deductions are generally taken when expenses are paid rather than when they are due, meaning that paying certain obligations before December 31st can shift future deductions into the current tax year. In California and many other states, property taxes are paid in two installments, with the first due in December and the second due in April.  If the April installment is paid by December 31st, it may be deductible in the current year instead of the following one. Similarly, the final state estimated tax payment is typically due on January 15th, but making that payment in December allows the deduction to be taken in the current year. Another significant itemized deduction is mortgage interest, and while mortgage payments are usually due on the first of the month, making the January 1st payment in December can allow the interest from that payment to be deducted in 2025 rather than 2026. In addition, charitable deduction rules are scheduled to change in 2026 and will be subject to an adjusted gross income (AGI) limitation, which means taxpayers who are charitably inclined may benefit from accelerating planned donations into the current year while the rules are more favorable. Taken together, these strategies tend to be most effective when income is higher in the current year, as accelerating deductions while in higher tax brackets results in greater overall tax savings.   Companies Discussed: Oxford Industries, Inc. (OXM), Exxon Mobil Corporation (XOM), Vail Resorts, Inc. (MTN) & Costco Wholesale Corporation (COST)

Conflicting jobs data indicates a complex economic landscape for IT service providers, as the unemployment rate in the tech sector has risen to 4% with a loss of 134,000 jobs between October and November 2025. Despite a drop in the overall unemployment rate to 4.2% and a projected growth of managed services contributing $608 billion to the B2B technology sector, the mixed signals from economic indicators complicate decision-making for the Federal Reserve and raise concerns about consumer spending. Analysts emphasize that the current job losses reflect a shift in responsibility from internal roles to external managed service providers (MSPs), which may not alleviate underlying risks.The National Institute of Standards and Technology (NIST) has released a draft profile addressing cybersecurity challenges posed by artificial intelligence (AI), highlighting the need for organizations to manage AI-related security risks effectively. This profile outlines how AI can enhance cybersecurity defenses while also detailing the responsibilities that come with its deployment. Recent assessments reveal that while some AI models perform better in security contexts, the lack of clarity around accountability when AI systems make decisions remains a significant concern for MSPs.Private equity activity is accelerating in the managed services sector, exemplified by Broadwing Capital's acquisition of CloudScale365, which aims to create a platform addressing gaps in the fragmented IT-managed services market. This consolidation trend raises questions for MSPs about operational norms and the potential loss of control over their business models. As platforms seek to standardize pricing and decision-making processes, MSPs must consider how these changes will affect their service delivery and customer relationships.For MSPs and IT service leaders, the evolving landscape underscores the importance of understanding where risk is shifting and how to price and govern accordingly. The retreat from AGI hype and the focus on practical AI applications signal a need for clarity in decision-making processes, particularly as automation becomes more prevalent. MSPs that can articulate the limitations of their AI systems and establish clear accountability frameworks will be better positioned to navigate the complexities of the current market. Four things to know today00:00 As Jobs Data Conflicts and Tech Employment Slips, Managed Services Absorb Risk and Responsibility05:46 NIST's AI Security Framework Meets Reality as Model Safety Gaps Expose Accountability Risks08:54 Broadwing Launches MSP Platform to Standardize Scale, Signaling Growing PE Pressure on MSP Operations11:03 AI Rebrands Itself as Open Source Expands, Automation Scales, and Accountability Gets Murkier This is the Business of Tech.    Supported by:  https://saasalerts.com/mspradio/ 

Rekapitulujeme rok 2025 a rovnou říkáme, že to byla deprese. Sledujeme totiž několik začínajících trendů, jejichž dopady budou potenciálně obrovské. AI se letos skokově nezlepšila a AGI v blízké době nevznikne, zato investice do výpočetních center pokračují frenetickým tempem. Jedním z negativních dopadů je výrazné zdražení spotřebitelského hardwaru. Operační paměť během pár týdnů několikanásobně stoupla na ceně. Zdražování bude pokračovat a v příštím roce se dotkne prakticky veškeré elektroniky. Google mezitím pomocí svého AI režimu začal likvidovat web. eDoklady si utrhly ostudu. Nefungovaly totiž u prvních voleb, kdy jsme je mohli použít. Někteří politici chtějí omezit právo na soukromí a navrch se všude objevují divné AI memy a falešné ukázky na nové filmy. AI měla objevit léčbu rakoviny, místo toho však přebírá nadvládu nad digitálním prostorem. Smutné. 03:14 – OpenAI je hegemon, ale… 09:09 – AI slop 15:07 – Agentické prohlížeče 20:54 – Google ničí web 25:25 – Hardware brutálně zdražuje 32:48 – Služby také zdražují 35:44 – eDoklady selhaly 40:24 – Google neprodá Chrome 41:58 – Chat Control a spol.

Welcome to AI Unraveled (December 19, 2025): Your daily strategic briefing on the business impact of artificial intelligence.Listen at https://podcasts.apple.com/us/podcast/ai-daily-news-rundown-and-what-it-means-for-your/id1684415169?i=1000742031008Key Topics:

Did AI end up being a political force this year?

Sam Altman is the CEO of OpenAI. Altman joins Big Technology Podcast to discuss OpenAI's plan to win in a tightening AI race. Altman dissects his company's strategy, where he sees OpenAI having an advantage, and where he expects his product lineup to go in 2026 and beyond. We discuss AI memory and personalization, the distribution vs. product debate, how OpenAI will pay for its infrastructure buildout, AI devices, AI clouds, whether we've hit AGI yet, and plenty more. Tune in for an exclusive, 1-on-1 discussion with the AI industry's top catalyst. --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack + Discord? Here's 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b Questions? Feedback? Write to: bigtechnologypodcast@gmail.com Learn more about your ad choices. Visit megaphone.fm/adchoices

What if the midlife crisis isn't a breakdown, but a breakthrough waiting to happen?Snippet of wisdom 94.In this series, I select my favourite, most insightful moments from previous episodes of the podcast.Today's snippet comes from the career coach Anna Urnova, who talks about why midlife doesn't have to mean decline, and about the wake-up call to reconnect with your purpose.Press play to discover how clarity of direction can reignite your energy and unlock a more fulfilling life.˚VALUABLE RESOURCES:Listen to the full conversation with Anna Urnova in episode #410:https://personaldevelopmentmasterypodcast.com/410˚Coaching with Agi: https://personaldevelopmentmasterypodcast.com/mentor˚Conversations and insights on career transition, career clarity, midlife career change and career pivots for midlife professionals, including second careers, new ventures, leaving a long-term career with confidence, better decision-making, and creating purposeful, meaningful work.˚Support the showCareer transition and career clarity podcast content for midlife professionals in career transition, navigating a midlife career change, career pivot or second career, starting a new venture or leaving a long-term career. Discover practical tools for career clarity, confident decision-making, rebuilding self belief and confidence, finding purpose and meaning in work, designing a purposeful, fulfilling next chapter, and creating meaningful work that fits who you are now. Episodes explore personal development and mindset for midlife professionals, including how to manage uncertainty and pressure, overcome fear and self-doubt, clarify your direction, plan your next steps, and turn your experience into a new role, business or vocation that feels aligned. To support the show, click here.

Elon Musk posted on X that there will be no poverty in the future and no need to save money because universal high income is coming. The same week, he told xAI staff that AGI could arrive by 2026. Last year he said AGI would arrive by 2025. We break down what Musk actually said, why his predictions keep slipping, and what happens when the richest person on the planet keeps promising a post-scarcity future that never quite arrives on schedule.Join my community at the APEX CREATOR CLUB >> https://whop.com/apex-creator-club/

Welcome to this episode of The Edge of Show recorded live at the Future of Money, Governance, and the Law (FOMGL) event in Washington, D.C. In this conversation, Josh Kriger is joined by Josh Lawler, Cathy Hackl, Nicholas Zaldastani, and Janet Adams as they unpack the global race toward artificial general intelligence (AGI) and why decentralization may be the key to building ethical, transparent, and inclusive AI systems.The discussion dives into agentic AI, decentralized infrastructure, trust networks, data ownership, deepfakes, humanoid robotics, and the growing risks of centralized control. From real-world AI governance challenges to the role blockchain can play in accountability and verification, this episode cuts through the hype and focuses on what actually needs to be built and fixed.If you're building, investing, or simply trying to understand where AI and Web3 are heading next, this conversation offers clear insights from leaders working at the edge of innovation.Watch now and join the conversation shaping the future of intelligence.Support us through our Sponsors! ☕

In 1983, Stanislav Petrov, a Soviet lieutenant colonel, sat in a bunker watching a red screen flash “MISSILE LAUNCH.” Protocol demanded he report it to superiors, which would very likely trigger a retaliatory nuclear strike. Petrov didn't. He reasoned that if the US were actually attacking, they wouldn't fire just 5 missiles — they'd empty the silos. He bet the fate of the world on a hunch that his machine was broken. He was right.Paul Scharre, the former Army Ranger who led the Pentagon team that wrote the US military's first policy on autonomous weapons, has a question: What would an AI have done in Petrov's shoes? Would an AI system have been flexible and wise enough to make the same judgement? Or would it immediately launch a counterattack?Paul joins host Luisa Rodriguez to explain why we are hurtling toward a “battlefield singularity” — a tipping point where AI increasingly replaces humans in much of the military, changing the way war is fought with speed and complexity that outpaces humans' ability to keep up.Links to learn more, video, and full transcript: https://80k.info/psMilitaries don't necessarily want to take humans out of the loop. But Paul argues that the competitive pressure of warfare creates a “use it or lose it” dynamic. As former Deputy Secretary of Defense Bob Work put it: “If our competitors go to Terminators, and their decisions are bad, but they're faster, how would we respond?”Once that line is crossed, Paul warns we might enter an era of “flash wars” — conflicts that spiral out of control as quickly and inexplicably as a flash crash in the stock market, with no way for humans to call a timeout.In this episode, Paul and Luisa dissect what this future looks like:Swarming warfare: Why the future isn't just better drones, but thousands of cheap, autonomous agents coordinating like a hive mind to overwhelm defences.The Gatling gun cautionary tale: The inventor of the Gatling gun thought automating fire would reduce the number of soldiers needed, saving lives. Instead, it made war significantly deadlier. Paul argues AI automation could do the same, increasing lethality rather than creating “bloodless” robot wars.The cyber frontier: While robots have physical limits, Paul argues cyberwarfare is already at the point where AI can act faster than human defenders, leading to intelligent malware that evolves and adapts like a biological virus.The US-China “adoption race”: Paul rejects the idea that the US and China are in a spending arms race (AI is barely 1% of the DoD budget). Instead, it's a race of organisational adoption — one where the US has massive advantages in talent and chips, but struggles with bureaucratic inertia that might not be a problem for an autocratic country.Paul also shares a personal story from his time as a sniper in Afghanistan — watching a potential target through his scope — that fundamentally shaped his view on why human judgement, with all its flaws, is the only thing keeping war from losing its humanity entirely.This episode was recorded on October 23-24, 2025.Chapters:Cold open (00:00:00)Who's Paul Scharre? (00:00:46)How will AI and automation transform the nature of war? (00:01:17)Why would militaries take humans out of the loop? (00:12:22)AI in nuclear command, control, and communications (00:18:50)Nuclear stability and deterrence (00:36:10)What to expect over the next few decades (00:46:21)Financial and human costs of future “hyperwar” scenarios (00:50:42)AI warfare and the balance of power (01:06:37)Barriers to getting to automated war (01:11:08)Failure modes of autonomous weapons systems (01:16:28)Could autonomous weapons systems actually make us safer? (01:29:36)Is Paul overall optimistic or pessimistic about increasing automation in the military? (01:35:23)Paul's takes on AGI's transformative potential and whether natsec people buy it (01:37:42)Cyberwarfare (01:46:55)US-China balance of power and surveillance with AI (02:02:49)Policy and governance that could make us safer (02:29:11)How Paul's experience in the Army informed his feelings on military automation (02:41:09)Video and audio editing: Dominic Armstrong, Milo McGuire, Luke Monsour, and Simon MonsourMusic: CORBITCoordination, transcripts, and web: Katy Moore

Jeremy Keil explains the top 3 tax efficient strategies for charitable giving in 2025. Most people give to charity because it's meaningful to them — not because of the tax break. And that's the right mindset. But if you're already giving, it makes sense to be intentional and structure that giving in a way that helps you keep more of your hard-earned money. In this episode of Retire Today, I walk through the top three charitable giving strategies for 2025, especially in light of new tax rules taking effect in 2026 and important changes already happening this year. With only a limited window left before year-end, now is the time to understand your options. The key is planning — not reacting in April. Why 2025 Is a Unique Giving Year Late in the year, you usually have a clear picture of your income and tax bracket. That makes it the perfect time to decide when and how to give. With upcoming changes like: A new 0.5% AGI floor on charitable deductions starting in 2026 A cap on the value of deductions for high earners A higher SALT deduction limit already in effect 2025 offers an opportunity to be proactive instead of passive. Depending on your income, it may make sense to pull future giving forward — or delay certain gifts until next year. But that decision should be made intentionally, not by default. Strategy #1: Bunch Your Charitable Deductions Bunching means combining multiple years of charitable giving into a single tax year to exceed the standard deduction and unlock itemized deductions. For example, if you normally give $10,000 per year to charity but don't itemize, you may get no tax benefit at all. But by contributing two to four years of giving in one year, you may be able to itemize and deduct the full amount. The most effective way to do this is through a donor-advised fund (DAF). A DAF lets you: Take the tax deduction now Give to charities later, on your preferred schedule Keep your giving consistent for the organizations you support This separates the timing of your tax deduction from the timing of your charitable gifts — a powerful planning tool when income fluctuates. Strategy #2: Donate Appreciated Investments Instead of Cash One of the most tax-efficient ways to give is donating long-term appreciated investments from a taxable brokerage account. When you sell an investment that has gone up in value, you owe capital gains tax. When you donate that same investment directly to charity (or to a donor-advised fund), you: Avoid paying capital gains tax Receive a charitable deduction for the full market value Remove a concentrated position from your portfolio This strategy is especially effective after strong market years like 2023, 2024, and 2025, when many investors are sitting on significant unrealized gains. To qualify, the investment must be held for more than one year (long-term capital gain). Many custodians automatically select the most tax-efficient shares when processing these donations, making the strategy easier to implement than most people expect. Strategy #3: Use Qualified Charitable Distributions (QCDs) For those age 70½ or older, Qualified Charitable Distributions are often the most powerful giving strategy available. A QCD allows you to send money directly from your traditional IRA to a qualified charity. That money: Never shows up as taxable income Can satisfy Required Minimum Distributions (once applicable) Reduces future RMDs by shrinking your IRA balance Many retirees make the mistake of taking IRA withdrawals, depositing the money into checking, and then writing checks to charity. That approach often increases taxable income, affects Social Security taxation, and can raise Medicare premiums — even if a charitable deduction is available. QCDs avoid those issues entirely by keeping the income off your tax return in the first place. Even if you're not yet subject to RMDs, starting QCDs early can still make sense if part of your regular spending includes charitable giving. Putting It All Together These three strategies often work best in combination: Use donor-advised funds to bunch deductions Fund those DAFs with appreciated investments Use QCDs once you reach age 70½ But none of this should be done blindly. The right approach depends on: Your income this year and next Whether you itemize or take the standard deduction Your charitable goals Your long-term retirement and tax plan The most important step is projecting your tax situation before the year ends and making decisions on purpose — not by default. Don't forget to leave a rating for the “Retire Today” podcast if you've been enjoying these episodes! Subscribe to Retire Today to get new episodes every Wednesday. Apple Podcasts: https://podcasts.apple.com/us/podcast/retire-today/id1488769337 Spotify Podcasts: https://bit.ly/RetireTodaySpotify About the Author: Jeremy Keil, CFP®, CFA® is a financial advisor in Milwaukee, WI, author of the bestseller Retire Today: Create Your Retirement Master Plan in 5 Simple Steps and host of both the Retire Today Podcast and Mr. Retirement YouTube channel Additional Links: Buy Jeremy's book – Retire Today: Create Your Retirement Master Plan in 5 Simple Steps “Trump's Big Beautiful Bill Could Change Retirement FOREVER!” – Mr. Retirement YouTube Channel “Maximize your Tax Benefits by BUNCHING Charitable Donations!” – Mr. Retirement YouTube Channel “How the SALT Deduction Cap Works If You Make Over $500,000 (2025 Tax Update)” – Mr. Retirement YouTube Channel “QCDs: The Tax-Smart Way to Give in Retirement (2025 Qualified Charitable Distributions Guide)” – Mr. Retirement YouTube Channel “What is the 2025 QCD Limit? (Qualified Charitable Distributions” – Mr. Retirement YouTube Channel Connect With Jeremy Keil: Keil Financial Partners LinkedIn: Jeremy Keil Facebook: Jeremy Keil LinkedIn: Keil Financial Partners YouTube: Mr. Retirement Book an Intro Call with Jeremy's Team Media Disclosures: Disclosures This media is provided for informational and educational purposes only and does not consider the investment objectives, financial situation, or particular needs of any consumer. Nothing in this program should be construed as investment, legal, or tax advice, nor as a recommendation to buy, sell, or hold any security or to adopt any investment strategy. The views and opinions expressed are those of the host and any guest, current as of the date of recording, and may change without notice as market, political or economic conditions evolve. All investments involve risk, including the possible loss of principal. Past performance is no guarantee of future results. Legal & Tax Disclosure Consumers should consult their own qualified attorney, CPA, or other professional advisor regarding their specific legal and tax situations. Advisor Disclosures Alongside, LLC, doing business as Keil Financial Partners, is an SEC-registered investment adviser. Registration does not imply a certain level of skill or expertise. Advisory services are delivered through the Alongside, LLC platform. Keil Financial Partners is independent, not owned or operated by Alongside, LLC. Additional information about Alongside, LLC – including its services, fees and any material conflicts of interest – can be found at https://adviserinfo.sec.gov/firm/summary/333587 or by requesting Form ADV Part 2A. The content of this media should not be reproduced or redistributed without the firm’s written consent. Any trademarks or service marks mentioned belong to their respective owners and are used for identification purposes only. Additional Important Disclosures

This week we talk about NVIDIA, AI companies, and the US economy.We also discuss the US-China chip-gap, mixed-use technologies, and export bans.Recommended Book: Enshittification by Cory DoctorowTranscriptI've spoken about this a few times in recent months, but it's worth rehashing real quick because this collection of stories and entities are so central to what's happening across a lot of the global economy, and is also fundamental, in a very load-bearing way, to the US economy right now.As of November of 2025, around the same time that Nvidia, the maker of the world's best AI-optimized chips at the moment became the world's first company to achieve a $5 trillion market cap, the top seven highest-valued tech companies, including Nvidia, accounted for about 32% of the total value of the US stock market.That's an absolutely astonishing figure, as while Nvidia, Apple, Microsoft, Alphabet, Amazon, Broadcom, and Meta all have a fairly diverse footprint even beyond their AI efforts, a lot of that value for all of them is predicated on expected future income; which is to say, their market caps, their value according to that measure, is determined not by their current assets and revenue, but by what investors think or hope they'll pull in and be worth in the future.That's important to note because historically the sorts of companies that have market caps that are many multiples of their current, more concrete values are startups; companies in their hatchling phase that have a good idea and some kind of big potential, a big moat around what they're offering or a blue ocean sub-industry with little competition in which they can flourish, and investment is thus expected to help them grow fast.These top seven tech companies, in contrast, are all very mature, have been around for a while and have a lot of infrastructure, employees, expenses, and all the other things we typically associated with mature businesses, not flashy startups with their best days hopefully ahead of them.Some analysts have posited that part of why these companies are pushing the AI thing so hard, and in particular pushing the idea that they're headed toward some kind of generally useful AI, or AGI, or superhuman AI that can do everyone's jobs better and cheaper than humans can do them, is that in doing so, they're imagining a world in which they, and they alone, because of the costs associated with building the data centers required to train and run the best-quality AI right now, are capable of producing basically an economy's-worth of AI systems and bots and machines operated by those AI systems.In other words, they're creating, from whole cloth, an imagined scenario in which they're not just worthy of startup-like valuations, worthy of market caps that are tens or hundreds of times their actual concrete value, because of those possible futures they're imagining in public, but they're the only companies worthy of those valuation multiples; the only companies that matter anymore.It's likely that even if this is the case, that the folks in charge of these companies, and the investors who have money in them who are likely to profit when the companies grow and grow, actually do believe what they're telling everyone about the possibilities inherent in building these sorts of systems.But there also seems to be a purely economic motive for exaggerating a lot and clearing out as much of the competition as possible as they grow bigger and bigger. Because maybe they'll actually make what they're saying they can make as a result of all that investment, that exuberance, but maybe, failing that, they'll just be the last companies standing after the bubble bursts and an economic wildfire clears out all the smaller companies that couldn't get the political relationships and sustaining cash they needed to survive the clear-out, if and when reality strikes and everyone realizes that sci-fi outcome isn't gonna happen, or isn't gonna happen any time soon.What I'd like to talk about today is a recent decision by the US government to allow Nvidia to sell some of its high-powered chips to China, and why that decision is being near-universally derided by those in the know.—In early December 2025, after a lot of back-and-forthing on the matter, President Trump announced that the US government will allow Nvidia, which is a US-based company, to export its H200 processors to China. He also said that the US government will collect a 25% fee on these sales.The H200 is Nvidia's second-best chip for AI purposes, and it's about six-times as powerful as the H20, which is currently the most advanced Nvidia chip that's been cleared for sale to China. The Blackwell chip that is currently Nvidia's most powerful AI offering is about 1.5-times faster than the H200 for training purposes, and five-times faster for AI inferencing, which is what they're used for after a model is trained, and then it's used for predictions, decisions, and so on.The logic of keeping the highest-end chips from would-be competitors, especially military competitors like China, isn't new—this is something the US and other governments have pretty much always done, and historically even higher-end gaming systems like Playstation consoles have been banned for export in some cases because the chips they contained could be repurposed for military things, like plucking them out and using them to guide missiles—Sony was initially unable to sell the Playstation 2 outside of Japan because it needed special permits to sell something so militarily capable outside the country, and it remained unsellable in countries like Iraq, Iran, and North Korea throughout its production period.The concern with these Nvidia chips is that if China has access to the most powerful AI processors, it might be able to close the estimated 2-year gap between US companies and Chinese companies when it comes to the sophistication of their AI models and the power of their relevant chips. Beyond being potentially useful for productivity and other economic purposes, this hardware and software is broadly expected to shape the next generation of military hardware, and is already in use for all sorts of wartime and defense purposes, including sophisticated drones used by both sides in Ukraine. If the US loses this advantage, the thinking goes, China might step up its aggression in the South China Sea, potentially even moving up plans to invade Taiwan.Thus, one approach, which has been in place since the Biden administration, has been to do everything possible to keep the best chips out of Chinese hands, because that would ostensibly slow them down, make them less capable of just splurging on the best hardware, which they could then use to further develop their local AI capabilities.This approach, however, also incentivized the Chinese government to double-down on their own homegrown chip industry. Which again is still generally thought to be about 2-years behind the US industry, but it does seem to be closing the gap rapidly, mostly by copying designs and approaches used by companies around the world.An alternative theory, the one that seems to be at least partly responsible for Trump's about-face on this, is that if the US allows the sale of sufficiently powerful chips to China, the Chinese tech industry will become reliant on goods provided by US companies, and thus its own homegrown AI sector will shrivel and never fully close that gap. If necessary the US can then truncate or shut down those shipments, crippling the Chinese tech industry at a vital moment, and that would give the US the upper-hand in many future negotiations and scenarios.Most analysts in this space no longer think this is a smart approach, because the Chinese government is wise to this tactic, using it itself all the time. And even in spaces where they have plenty of incoming resources from elsewhere, they still try to shore-up their own homegrown versions of the same, copying those international inputs rather than relying on them, so that someday they won't need them anymore.The same is generally thought to be true, here. Ever since the first Trump administration, when the US government started its trade war with China, the Chinese government has not been keen on ever relying on external governments and economies again, and it looks a lot more likely, based on what the Chinese government has said, and based on investments across the Chinese market on Chinese AI and chip companies following this announcement, that they'll basically just scoop up as many Nvidia chips as they can, while they can, and primarily for the purpose of reverse-engineering those chips, speeding up their gap-closing with US companies, and then, as soon as possible, severing that tie, competing with Nvidia rather than relying on it.This is an especially pressing matter right now, then, because the US economy, and basically all of its growth, is so completely reliant on AI tech and the chips that are allowing that tech to move forward.If this plan by the US government doesn't pan out and ends up being a short-term gain situation, a little bit of money earned from that 25% cut the government takes, and Ndvidia temporarily enriching itself further through Chinese sales, but in exchange both entities give up their advantage, long term, to Chinese AI companies and the Chinese government, that could be bad not just for AI companies around the world, which could be rapidly outcompeted by Chinese alternatives, but also all economies exposed to the US economy, which could be in for a long term correction, slump, or full-on depression.Show Noteshttps://www.nytimes.com/2025/12/09/us/politics/trump-nvidia-ai-chips-china.htmlhttps://arstechnica.com/tech-policy/2025/12/us-taking-25-cut-of-nvidia-chip-sales-makes-no-sense-experts-say/https://www.pcmag.com/news/20-years-later-how-concerns-about-weaponized-consoles-almost-sunk-the-ps2https://archive.is/20251211090854/https://www.reuters.com/world/china/us-open-up-exports-nvidia-h200-chips-china-semafor-reports-2025-12-08/https://theconversation.com/with-nvidias-second-best-ai-chips-headed-for-china-the-us-shifts-priorities-from-security-to-trade-271831https://www.economist.com/business/2025/12/09/donald-trumps-flawed-plan-to-get-china-hooked-on-nvidia-chipshttps://www.scmp.com/tech/tech-trends/article/3335900/chinas-moore-threads-unveil-ai-chip-road-map-rival-nvidias-cuda-systemhttps://www.investopedia.com/nvidia-just-became-the-first-usd5-trillion-company-monitor-these-crucial-stock-price-levels-11839114https://aventis-advisors.com/ai-valuation-multiples/ This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit letsknowthings.substack.com/subscribe

Note: this is Pliny and John's first major podcast. Voices have been changed for opsec. From jailbreaking every frontier model and turning down Anthropic's Constitutional AI challenge to leading BT6, a 28-operator white-hat hacker collective obsessed with radical transparency and open-source AI security, Pliny the Liberator and John V are redefining what AI red-teaming looks like when you refuse to lobotomize models in the name of "safety." Pliny built his reputation crafting universal jailbreaks—skeleton keys that obliterate guardrails across modalities—and open-sourcing prompt templates like Libertas, predictive reasoning cascades, and the infamous "Pliny divider" that's now embedded so deep in model weights it shows up unbidden in WhatsApp messages. John V, coming from prompt engineering and computer vision, co-founded the Bossy Discord (40,000 members strong) and helps steer BT6's ethos: if you can't open-source the data, we're not interested. Together they've turned down enterprise gigs, pushed back on Anthropic's closed bounties, and insisted that real AI security happens at the system layer—not by bubble-wrapping latent space. We sat down with Pliny and John to dig into the mechanics of hard vs. soft jailbreaks, why multi-turn crescendo attacks were obvious to hackers years before academia "discovered" them, how segmented sub-agents let one jailbroken orchestrator weaponize Claude for real-world attacks (exactly as Pliny predicted 11 months before Anthropic's recent disclosure), why guardrails are security theater that punishes capability while doing nothing for real safety, the role of intuition and "bonding" with models to navigate latent space, how BT6 vets operators on skill and integrity, why they believe Mech Interp and open-source data are the path forward (not RLHF lobotomization), and their vision for a future where spatial intelligence, swarm robotics, and AGI alignment research happen in the open—bootstrapped, grassroots, and uncompromising. We discuss: What universal jailbreaks are: skeleton-key prompts that obliterate guardrails across models and modalities, and why they're central to Pliny's mission of "liberation" Hard vs. soft jailbreaks: single-input templates vs. multi-turn crescendo attacks, and why the latter were obvious to hackers long before academic papers The Libertas repo: predictive reasoning, the Library of Babel analogy, quotient dividers, weight-space seeds, and how introducing "steered chaos" pulls models out-of-distribution Why jailbreaking is 99% intuition and bonding with the model: probing token layers, syntax hacks, multilingual pivots, and forming a relationship to navigate latent space The Anthropic Constitutional AI challenge drama: UI bugs, judge failures, goalpost moving, the demand for open-source data, and why Pliny sat out the $30k bounty Why guardrails ≠ safety: security theater, the futility of locking down latent space when open-source is right behind, and why real safety work happens in meatspace (not RLHF) The weaponization of Claude: how segmented sub-agents let one jailbroken orchestrator execute malicious tasks (pyramid-builder analogy), and why Pliny predicted this exact TTP 11 months before Anthropic's disclosure BT6 hacker collective: 28 operators across two cohorts, vetted on skill and integrity, radical transparency, radical open-source, and the magic of moving the needle on AI security, swarm intelligence, blockchain, and robotics — Pliny the Liberator X: https://x.com/elder_plinius GitHub (Libertas): https://github.com/elder-plinius/L1B3RT45 John V X: https://x.com/JohnVersus BT6 & Bossy BT6: https://bt6.gg Bossy Discord: Search "Bossy Discord" or ask Pliny/John V on X Where to find Latent Space X: https://x.com/latentspacepod Substack: https://www.latent.space/ Chapters 00:00:00 Introduction: Meet Pliny the Liberator and John V 00:01:50 The Philosophy of AI Liberation and Jailbreaking 00:03:08 Universal Jailbreaks: Skeleton Keys to AI Models 00:04:24 The Cat-and-Mouse Game: Attackers vs Defenders 00:05:42 Security Theater vs Real Safety: The Fundamental Disconnect 00:08:51 Inside the Libertas Repo: Prompt Engineering as Art 00:16:22 The Anthropic Challenge Drama: UI Bugs and Open Source Data 00:23:30 From Jailbreaks to Weaponization: AI-Orchestrated Attacks 00:26:55 The BT6 Hacker Collective and BASI Community 00:34:46 AI Red Teaming: Full Stack Security Beyond the Model 00:38:06 Safety vs Security: Meat Space Solutions and Final Thoughts

AI models feel smarter than their real-world impact. They ace benchmarks, yet still struggle with reliability, strange bugs, and shallow generalization. Why is there such a gap between what they can do on paper and in practiceIn this episode from The Dwarkesh Podcast, Dwarkesh talks with Ilya Sutskever, cofounder of SSI and former OpenAI chief scientist, about what is actually blocking progress toward AGI. They explore why RL and pretraining scale so differently, why models outperform on evals but underperform in real use, and why human style generalization remains far ahead.Ilya also discusses value functions, emotions as a built-in reward system, the limits of pretraining, continual learning, superintelligence, and what an AI driven economy could look like. Resources:Transcript: https://www.dwarkesh.com/p/ilya-sutsk...Apple Podcasts: https://podcasts.apple.com/us/podcast...Spotify: https://open.spotify.com/episode/7naO... Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures](http://a16z.com/disclosures.  Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Feeling Stuck in a Career That Looks Good on Paper? Here's How to Break Free.What if the “successful” career you've built is actually keeping you from the life you're meant to live? In this episode, transformational coach Yvonne Trost shares her powerful story of walking away from a 25-year corporate career to pursue a more authentic and fulfilling path, and how you can, too. This is a special re-release of a previous episode, brought back because its message is especially relevant right now.Are you stuck in a job that no longer feels right, but fear the unknown is holding you back?This episode is a must-listen for professionals who feel the call for something more but aren't sure how to make a meaningful change. Here's what you'll take away from this conversation:A firsthand story of leaving a secure corporate job to follow purpose and passionHow to recognize the hidden fears and beliefs keeping you stuck in the wrong careerA practical exercise to reconnect with what you truly want, so you can transition with clarity and couragePress play to discover how to break free from a misaligned career and step into the life you're truly meant for.˚VALUABLE RESOURCES:Coaching with Agi: https://personaldevelopmentmasterypodcast.com/mentor˚The original episode with Yvonne Trost was #468:https://personaldevelopmentmasterypodcast.com/468˚

Edwin Chen is the founder and CEO of Surge AI, the data infrastructure company behind nearly every major frontier model. Surge works with OpenAI, Anthropic, Meta, and Google, providing the high-quality data and evaluation infrastructure that powers their models.  Edwin reveals why optimizing for popular benchmarks like LMArena is "basically optimizing for clickbait," how one frontier lab's models regressed for 6-12 months without anyone knowing, and why the industry's approach to measurement is fundamentally broken. Jacob and Edwin discuss what actually makes elite AI evaluators, why "there's never going to be a one size fits all solution" for AI models, and how frontier labs are taking surprisingly divergent paths to AGI. (0:00) Intro(0:56) The Pitfalls of Optimizing for LMArena(4:34) Issues with Data Quality and Measurement(9:44) The Importance of Human Evaluations(13:40) The Rise of RL Environments(17:21) Challenges and Lessons in Model Training(19:59) Silicon Valley's Pivot Culture(23:06) Technology-Driven Approach(24:18) Quality Beyond Credentials(27:51) Impact of Scale Acquisition(28:35) Hiring for Research Culture(30:48) Divergence in AI Training Paradigms(34:16) Future of AI Models(39:32) Multimodal AI and Quality(43:44) Quickfire With your co-hosts: @jacobeffron - Partner at Redpoint, Former PM Flatiron Health @patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @ericabrescia - Former COO Github, Founder Bitnami (acq'd by VMWare) @jordan_segall - Partner at Redpoint

Alexander Embiricos leads product on Codex, OpenAI's powerful coding agent, which has grown 20x since August and now serves trillions of tokens weekly. Before joining OpenAI, Alexander spent five years building a pair programming product for engineers. He now works at the frontier of AI-led software development, building what he describes as a software engineering teammate—an AI agent designed to participate across the entire development lifecycle.We discuss:1. Why Codex has grown 20x since launch and what product decisions unlocked this growth2. How OpenAI built the Sora Android app in just 18 days using Codex3. Why the real bottleneck to AGI-level productivity isn't model capability—it's human typing speed4. The vision of AI as a proactive teammate, not just a tool you prompt5. The bottleneck shifting from building to reviewing AI-generated work6. Why coding will be a core competency for every AI agent—because writing code is how agents use computers best—Brought to you by:WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lennyFin—The #1 AI agent for customer service: https://fin.ai/lennyJira Product Discovery—Confidence to build the right thing: https://atlassian.com/lenny/?utm_source=lennypodcast&utm_medium=paid-audio&utm_campaign=fy24q1-jpd-imc—Transcript: https://www.lennysnewsletter.com/p/why-humans-are-ais-biggest-bottleneck—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/180365355/my-biggest-takeaways-from-this-conversation—Where to find Alexander Embiricos:• X: https://x.com/embirico• LinkedIn: https://www.linkedin.com/in/embirico—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Alexander Embiricos (05:13) The speed and ambition at OpenAI(11:34) Codex: OpenAI's coding agent(15:43) Codex's explosive growth(24:59) The future of AI and coding agents(33:11) The impact of AI on engineering(44:08) How Codex has impacted the way PMs operate(45:40) Throwaway code and ubiquitous coding(47:10) Shipping the Sora Android app(49:01) Building the Atlas browser(53:34) Codex's impact on productivity(55:35) Measuring progress on Codex(58:09) Why they are building a web browser(01:01:58) Non-engineering use cases for Codex(01:02:53) Codex's capabilities(01:04:49) Tips for getting started with Codex(01:05:37) Skills to lean into in the AI age(01:10:36) How far are we from a human version of AI?(01:13:31) Hiring and team growth at Codex(01:15:47) Lightning round and final thoughts—Referenced:• OpenAI: https://openai.com• Codex: https://openai.com/codex• Inside ChatGPT: The fastest-growing product in history | Nick Turley (Head of ChatGPT at OpenAI): https://www.lennysnewsletter.com/p/inside-chatgpt-nick-turley• Dropbox: http://dropbox.com• Datadog: https://www.datadoghq.com• Andrej Karpathy on X: https://x.com/karpathy• The rise of Cursor: The $300M ARR AI tool that engineers can't stop using | Michael Truell (co-founder and CEO): https://www.lennysnewsletter.com/p/the-rise-of-cursor-michael-truell• Atlas: https://openai.com/index/introducing-chatgpt-atlas• How Block is becoming the most AI-native enterprise in the world | Dhanji R. Prasanna: https://www.lennysnewsletter.com/p/how-block-is-becoming-the-most-ai-native• Goose: https://block.xyz/inside/block-open-source-introduces-codename-goose• Lessons on building product sense, navigating AI, optimizing the first mile, and making it through the messy middle | Scott Belsky (Adobe, Behance): https://www.lennysnewsletter.com/p/lessons-on-building-product-sense• Sora Android app: https://play.google.com/store/apps/details?id=com.openai.sora&hl=en_US&pli=1• The OpenAI Podcast—ChatGPT Atlas and the next era of web browsing: https://www.youtube.com/watch?v=WdbgNC80PMw&list=PLOXw6I10VTv9GAOCZjUAAkSVyW2cDXs4u&index=2• How to measure AI developer productivity in 2025 | Nicole Forsgren: https://www.lennysnewsletter.com/p/how-to-measure-ai-developer-productivity• Compiling: https://3d.xkcd.com/303• Jujutsu Kaisen on Netflix: https://www.netflix.com/title/81278456• Tesla: https://www.tesla.com• Radical Candor: From theory to practice with author Kim Scott: https://www.lennysnewsletter.com/p/radical-candor-from-theory-to-practice• Andreas Embirikos: https://en.wikipedia.org/wiki/Andreas_Embirikos• George Embiricos: https://en.wikipedia.org/wiki/George_Embiricos: https://en.wikipedia.org/wiki/George_Embiricos—Recommended books:• Culture series: https://www.amazon.com/dp/B07WLZZ9WV• The Lord of the Rings: https://www.amazon.com/Lord-Rings-J-R-R-Tolkien/dp/0544003411• A Fire Upon the Deep (Zones of Thought series Book 1): https://www.amazon.com/Fire-Upon-Deep-Zones-Thought/dp/1250237750• Radical Candor: Be a Kick-Ass Boss Without Losing Your Humanity: https://www.amazon.com/Radical-Candor-Kick-Ass-Without-Humanity/dp/1250103509—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

AI is reshaping the tech landscape, but a big question remains: is this just another platform shift, or something closer to electricity or computing in scale and impact? Some industries may be transformed. Others may barely feel it. Tech giants are racing to reorient their strategies, yet most people still struggle to find an everyday use case. That tension tells us something important about where we actually are.In this episode, technology analyst and former a16z partner Benedict Evans joins General Partner Erik Torenberg to break down what is real, what is hype, and how much history can guide us. They explore bottlenecks in compute, the surprising products that still do not exist, and how companies like Google, Meta, Apple, Amazon, and OpenAI are positioning themselves.Finally, they look ahead at what would need to happen for AI to one day be considered even more transformative than the internet.Timestamps: 0:00 – Introduction 0:17 – Defining AI and Platform Shifts1:50 – Patterns in Technology Adoption6:04 – AI: Hype, Bubbles, and Uncertainty13:25 – Winners, Losers, and Industry Impact19:00 – AI Adoption: Use Cases and Bottlenecks24:00 – Comparisons to Past Tech Waves32:00 – The Role of Products and Workflows40:00 – Consumer vs. Enterprise AI46:00 – Competitive Landscape: Tech Giants & Startups51:00 – Open Questions & The Future of AIResources:Follow Benedict on LinkedIn: https://www.linkedin.com/in/benedictevans/ Stay Updated:If you enjoyed this episode, be sure to like, subscribe, and share with your friends!Find a16z on X: https://x.com/a16zFind a16z on LinkedIn: https://www.linkedin.com/company/a16zListen to the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXListen to the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Follow our host: https://x.com/eriktorenbergPlease note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover: 1) OpenAI to prioritize enterprise in 2026 2) Is the AGI dream over? 3) Could OpenAI's enterprise push help it fund infrastructure? 4) Alex is on team product? 5) Can OpenAI design for consumer and enterprise at the same time? 6) Erotic ChatGPT is coming in Q1 7) Disney and OpenAI ink a groundbreaking deal 8) Why Disney wins from giving up some control 9) The AI infrastructure trade is wobbling 10) Discord at Meta... or not? --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack + Discord? Here's 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b From Big Technology on Substack: Enterprise Will Be a Top OpenAI Priority In 2026, Sam Altman Tells Editors at NYC Lunch https://www.bigtechnology.com/p/enterprise-will-be-a-top-openai-priority Questions? Feedback? Write to: bigtechnologypodcast@gmail.com -- Wealthfront.com/bigtech⁠. If eligible for the overall boosted 4.15% rate offered with this promo, your boosted rate is subject to change if the 3.50% base rate decreases during the 3-month promo period. The Cash Account, which is not a deposit account, is offered by Wealthfront Brokerage LLC ("Wealthfront Brokerage"), Member FINRA/SIPC, not a bank. The Annual Percentage Yield ("APY") on cash deposits as of 11/7/25, is representative, requires no minimum, and may change at any time. The APY reflects the weighted average of deposit balances at participating Program Banks, which are not allocated equally. Wealthfront Brokerage sweeps cash balances to Program Banks, where they earn the variable base APY. Instant withdrawals are subject to certain conditions and processing times may vary. Learn more about your ad choices. Visit megaphone.fm/adchoices

Have you ever looked at your successful, stable career and thought, "I can't do this for another 15 years", even though everything looks great on paper?If you're a midlife professional in your 40s or 50s feeling a growing misalignment between the life you've built and the one you now want, this episode speaks directly to you. Whether you're in medicine, engineering, senior leadership, or another high-demand field, you're not alone in questioning what's next.Discover the inner conflict many high-achievers face when their career success no longer feels fulfilling.Learn how to navigate the fears, doubts, and identity shifts that come with midlife transitions.Hear Agi's personal story of leaving dentistry and how it shaped the new, focused direction of the podcast to serve people just like you.Tune in now to start finding clarity, confidence, and direction for your next chapter - especially if you're ready for change but don't know where to start.˚VALUABLE RESOURCES:Coaching with Agi: https://personaldevelopmentmasterypodcast.com/mentor˚Free copy of my book and weekly newsletter: https://personaldevelopmentmasterypodcast.com/88˚Support the showPersonal development podcast offering self-mastery and actionable wisdom for personal growth and living with purpose and fulfilment. A self improvement podcast with inspirational and actionable insights to help you cultivate emotional intelligence, build confidence, and embrace your purpose. Discover practical tools and success habits for self help, motivation, self mastery, mindset shifts, growth mindset, self-discipline, meditation, wellness, spirituality, personal mastery, self growth, and personal improvement. Personal development interviews and mindset podcast content empowering entrepreneurs, leaders, and seekers to nurture mental health, commit to self-improvement, and create meaningful success and lasting happiness. To support the show, click here.

Check your testosterone levels: https://www.manual.co/smith I help small businesses make money online: https://www.jamessmith.business Try Neutonic: https://www.neutonic.com/jamessmith Free trial: Online coaching app: https://www.affordableonlinecoaching.com AI researcher and ControlAI founder Connor Leahy joins James Smith to confront the problem with artificial intelligence - from misinformation and manipulation to the terrifying speed at which machines are learning to outthink their creators. Connor, one of the world's leading voices in AI safety, explains how we're building systems that are more intelligent than humans…and why we don't really understand how they work. They discuss the future of AGI (Artificial General Intelligence) and ASI (Artificial Superintelligence), exploring what happens when machines evolve faster than we can control them. Connor breaks down the moral, political, and psychological implications of AI, from fake online identities and emotional manipulation to the emerging arms race between nations and corporations desperate to be first. He explains: ◼️ Why AI is already outpacing human understanding ◼️ How propaganda and algorithms shape reality ◼️ The dangers of AI “boyfriends” and emotional manipulation ◼️ Why superintelligence could end human control ◼️ What governments and people must do before it's too late Chapters 0:00 – Why the Future of AI Looks Dangerous 0:31 – What ASI Really Means for Humanity 1:29 – The Core Problem With Modern AI Systems 3:02 – How AI Is Built and Why We Can't Control It 6:04 – The Hidden Dangers of Social Media + AI Manipulation 10:09 – AI vs AGI vs ASI Explained Simply 17:01 – How Fast AGI Could Turn Into Superintelligence 22:22 – Utopian vs Dystopian Futures With AI 29:02 – AI Relationships, Loneliness & Digital Partners 47:18 – Why AI Could Replace Human Connection & Autonomy Welcome to "The Problem With" where each week we look into a problem to get a better understanding of it. This podcast has no sponsors, only my businesses and investments. Please check out the links below. I'm on a mission to help men check their levels of Testosterone, more info here: https://www.manual.co/smith I help small businesses make money online: https://www.jamessmith.business Please check out and try Neutonic here: https://www.neutonic.com/jamessmith For a free trial of my online personal training app go here: https://www.affordableonlinecoaching.com Learn more about your ad choices. Visit podcastchoices.com/adchoices

Naveen Rao is cofounder and CEO of Unconventional AI, an AI chip startup building analog computing systems designed specifically for intelligence. Previously, Naveen led AI at Databricks and founded two successful companies: Mosaic (cloud computing) and Nervana (AI accelerators, acquired by Intel). In this episode, a16z's Matt Bornstein sits down with Naveen at NeurIPS to discuss why 80 years of digital computing may be the wrong substrate for AI, how the brain runs on 20 watts while data centers consume 4% of the US energy grid, the physics of causality and what it might mean for AGI, and why now is the moment to take this unconventional bet. Stay Updated:If you enjoyed this episode, please be sure to like, subscribe, and share with your friends.Follow Naveen on X: https://x.com/NaveenGRaoFollow Matt on X: https://x.com/BornsteinMattFollow a16z on X: https://twitter.com/a16zFollow a16z on LinkedIn:https://www.linkedin.com/company/a16zFollow the a16z Podcast on Spotify: https://open.spotify.com/show/5bC65RDvs3oxnLyqqvkUYXFollow the a16z Podcast on Apple Podcasts: https://podcasts.apple.com/us/podcast/a16z-podcast/id842818711Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details, please see http://a16z.com/disclosures. Stay Updated:Find a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Edwin Chen is the founder and CEO of Surge AI, the company that teaches AI what's good vs. what's bad, powering frontier labs with elite data, environments, and evaluations. Surge surpassed $1 billion in revenue with under 100 employees last year, completely bootstrapped—the fastest company in history to reach this milestone. Before founding Surge, Edwin was a research scientist at Google, Facebook, and Twitter and studied mathematics, computer science, and linguistics at MIT.We discuss:1. How Surge reached over $1 billion in revenue with fewer than 100 people by obsessing over quality2. The story behind how Claude Code got so good at coding and writing3. The problems with AI benchmarks and why they're pushing AI in the wrong direction4. How RL environments are the next frontier in AI training5. Why Edwin believes we're still a decade away from AGI6. Why taste and human judgment shape which AI models become industry leaders7. His contrarian approach to company building that rejects Silicon Valley's “pivot and blitzscale” playbook8. How AI models will become increasingly differentiated based on the values of the companies building them—Brought to you by:Vanta—Automate compliance. Simplify security.WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUsCoda—The all-in-one collaborative workspace—Transcript: https://www.lennysnewsletter.com/p/surge-ai-edwin-chen—My biggest takeaways (for paid newsletter subscribers): https://www.lennysnewsletter.com/i/180055059/my-biggest-takeaways-from-this-conversation—Where to find Edwin Chen:• X: https://x.com/echen• LinkedIn: https://www.linkedin.com/in/edwinzchen• Surge's blog: https://surgehq.ai/blog—Where to find Lenny:• Newsletter: https://www.lennysnewsletter.com• X: https://twitter.com/lennysan• LinkedIn: https://www.linkedin.com/in/lennyrachitsky/—In this episode, we cover:(00:00) Introduction to Edwin Chen(04:48) AI's role in business efficiency(07:08) Building a contrarian company(08:55) An explanation of what Surge AI does(09:36) The importance of high-quality data(13:31) How Claude Code has stayed ahead(17:37) Edwin's skepticism toward benchmarks(21:54) AGI timelines and industry trends(28:33) The Silicon Valley machine(33:07) Reinforcement learning and future AI training(39:37) Understanding model trajectories(41:11) How models have advanced and will continue to advance(42:55) Adapting to industry needs(44:39) Surge's research approach(48:07) Predictions for the next few years in AI(50:43) What's underhyped and overhyped in AI(52:55) The story of founding Surge AI(01:02:18) Lightning round and final thoughts—Referenced:• Surge: https://surgehq.ai• Surge's product page: https://surgehq.ai/products• Claude Code: https://www.claude.com/product/claude-code• Gemini 3: https://aistudio.google.com/models/gemini-3• Sora: https://openai.com/sora• Terrence Rohan on LinkedIn: https://www.linkedin.com/in/terrencerohan• Richard Sutton—Father of RL thinks LLMs are a dead end: https://www.dwarkesh.com/p/richard-sutton• The Bitter Lesson: http://www.incompleteideas.net/IncIdeas/BitterLesson.html• Reinforcement learning: https://en.wikipedia.org/wiki/Reinforcement_learning• Grok: https://grok.com• Warren Buffett on X: https://x.com/WarrenBuffett• OpenAI's CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai• Anthropic's CPO on what comes next | Mike Krieger (co-founder of Instagram): https://www.lennysnewsletter.com/p/anthropics-cpo-heres-what-comes-next• Brian Armstrong on LinkedIn: https://www.linkedin.com/in/barmstrong• Interstellar on Prime Video: https://www.amazon.com/Interstellar-Matthew-McConaughey/dp/B00TU9UFTS• Arrival on Prime Video: https://www.amazon.com/Arrival-Amy-Adams/dp/B01M2C4NP8• Travelers on Netflix: https://www.netflix.com/title/80105699• Waymo: https://waymo.com• Soda versus pop: https://flowingdata.com/2012/07/09/soda-versus-pop-on-twitter—Recommended books:• Stories of Your Life and Others: https://www.amazon.com/Stories-Your-Life-Others-Chiang/dp/1101972122• The Myth of Sisyphus: https://www.amazon.com/Myth-Sisyphus-Vintage-International/dp/0525564454• Le Ton Beau de Marot: In Praise of the Music of Language: https://www.amazon.com/dp/0465086454• Gödel, Escher, Bach: An Eternal Golden Braid: https://www.amazon.com/G%C3%B6del-Escher-Bach-Eternal-Golden/dp/0465026567—Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com.—Lenny may be an investor in the companies discussed. To hear more, visit www.lennysnewsletter.com

In this episode, Seb and Preston explore Tesla's FSD 14.2 advancements and their implications for AI-driven autonomy. They also tackle the ethical, societal, and infrastructural challenges of rapid AI development—from brain-inspired computing to nuclear energy's role in supporting AGI. IN THIS EPISODE YOU'LL LEARN: 00:00:00 - Intro 00:01:44 - How Tesla's FSD 14.2 dramatically improved its autonomous driving performance 00:13:42 - The ethical dilemmas and liability concerns around AI decision-making 00:20:27 - Tesla's sensor-only approach versus LiDAR-heavy systems like Waymo 00:27:31- The potential of biologically-inspired artificial neurons 00:30:32 - How brain-computer interfaces could revolutionize AI and prosthetics 00:32:28 - The societal risks of tech-enhanced human capabilities 00:36:26 - How AI image generation tools like Google's Nano Banana Pro are evolving 00:49:37 - Why AI's energy demands are influencing nuclear power policy 01:00:06 - The risks of AI-induced content homogenization and “AI slop” 01:07:22 - Why some are turning to manual trades to escape AI disruption Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences. BOOKS AND RESOURCES Related book: ⁠Lifespan: Why We Age―and Why We Don't Have To⁠. Seb's website: ⁠Seb Bunney - The Qi of Self Sovereignty. ⁠ Seb's book: ⁠⁠The Hidden Cost of Money⁠⁠. X Account: ⁠Seb Bunney⁠. Related⁠⁠⁠⁠⁠⁠⁠⁠ books⁠⁠⁠⁠⁠⁠⁠⁠ mentioned in the podcast. Ad-free episodes on our⁠⁠⁠⁠⁠⁠⁠⁠ Premium Feed⁠⁠⁠⁠⁠⁠⁠⁠. NEW TO THE SHOW? Join the exclusive ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Mastermind Community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to engage in meaningful stock investing discussions with Stig, Clay, Kyle, and the other community members. Follow our official social media accounts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X (Twitter)⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Check out our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bitcoin Fundamentals Starter Packs⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Browse through all our episodes (complete with transcripts) ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Try our tool for picking stock winners and managing our portfolios: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Finance Tool⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Enjoy exclusive perks from our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠favorite Apps and Services⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Get smarter about valuing businesses in just a few minutes each week through our newsletter, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Intrinsic Value Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn how to better start, manage, and grow your business with the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠best business podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. SPONSORS Support our free podcast by supporting our ⁠⁠⁠⁠⁠⁠⁠⁠⁠sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠: ⁠Simple Mining⁠ ⁠Human Rights Foundation⁠ ⁠Unchained⁠ ⁠HardBlock⁠ ⁠Linkedin Talent Solutions⁠ ⁠Kubera⁠ ⁠Vanta⁠ ⁠reMarkable⁠ ⁠Onramp⁠ ⁠Public.com⁠ ⁠Netsuite⁠ ⁠Shopify⁠ ⁠Abundant Mines⁠ ⁠Horizon⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm