Podcasts about openai gpt

In 2025, seven-month-old startup Axiom solved all 12 of the problems Putnam exam (scoring 8/12 in the time limit) a prestigious undergraduate math exam. The 12/12 score is better than the top undergraduates (110/120) and the closest AI system that reported a result (DeepSeek 103/120), although it is unclear what the people and other systems would have scored with more time. Nonetheless, the Putnam exam is legendary for its difficulty, with the median score typically being 0 or 1 points. Taken by itself, this seems like a minor feather in the cap of AI; one of a long series of accomplishments by AI systems in elite competitions with humans, starting with Deep Blue beating Kasparov.Fast forward to mid-2026, and Claude Code is eating the world. In 2024 Anthropic's bet on code and enterprise looked like a more pragmatic niche play vs. OpenAI's better models and massive consume scale. Today, Amodei's all in bet on acceleration via code (images and video be damned) seems prescient.Despite Anthropic's growing momentum, however, Axiom CEO Carina Hong sees coding ability as a necessary but not sufficient milestone on the path to AGI. Code arguably pushes the jagged frontier to the point of super intelligence in some domains outside of coding, but there are surprising gaps (link) that Carina believes will bottleneck AI progress. (Stats on math benchmarks).The informal bottleneck“Verified AI” sounds like eating broccoli (footnote: I actually love broccoli, but then again, I also believe strongly in Test Driven Development, so ¯(ツ)/¯ ) and paying taxes, but to Axiom it means something very different. “Verification to me is about scaling brilliance, compounding brilliance,” Carina told us.It actually took a while for me to understand what she means by this. It sounded like marketing-speak to me, until it clicked. Carina emphasizes an story about legendary mathematician Srinivasa Ramanujan to illustrate the point. When G.H. Hardy finally persuaded Ramanujan to formally prove theorems instead of relying on his (formidable) intuition, it reportedly improved his own capabilities. This is presumably because formally proving things forced Ramanujan to articulate the details in a way that open up new lines of thinking, etc. This is one part of “compounding.”But formally proving things also allowed others to benefit from his intuition: the proofs are way of communicating an intuition and persuading others that the intuition is correct. This is scaling (more people use the result) and compounding (people can learn from and build on his work).This is the analogy that Carina wants us to focus on.Verified GenerationThere are two ways that Verified AI shows up: in training and in inference.But a quick detour: to a first approximation, “Formal Verification” means using type checkers (like for TypeScript, C++ or Rust, but more capable) to verify mathematical proofs that are meticulously specified using a language like Lean (footnote: Formal verification also includes model checking (TLA+, SPIN), SMT-based tools (Dafny, F*, Why3), and refinement-type systems (Liquid Haskell) — many of which don't look much like “type checking a proof” from the user's perspective even when there's a similar logical core underneath. It also gets applied to software and hardware correctness, not only pure mathematics.). It takes a lot of work to translate an “informal” proof (albeit one that most people would not remotely call “informal”) in to a Lean proof (footnote: This is an understatement. Most theorems remain informal because formalization is so hard to do. There has been a great deal of effort to formalize the most important proofs, with mixed results)You can imagine how this would be (very) useful during Reinforcement Learning: instead of relying on best guesses based on statistics (GRPO, RLHF, etc.), you can just verify the proof is correct using a Lean verifier. This is obviously a much stronger reward signal, akin to compiling code and testing it (which is what is typically done with RL on coding).The catch: LLM are not (currently) very good at proving things with Lean.Enter Axiom: While they have not officially reported benchmark numbers besides the 12/12 Putnam result, Carina reports that they have achieved a very impressive 99% (187/189) ProofGen on the Verina benchmark. This benchmark is to generate code and proof of correctness for a series of problems. For context, OpenAI o3 (the last known OpenAI run) achieved 4.9% on this benchmark.Based on the sparse benchmarking, it's hard to say what the frontier labs are currently doing, but Carina suggests that they still are not training to generate Lean proofs directly, rather relying on informal proofs.Time will tell if the frontier labs' current approaches will close this gap.Scaling and compoundingCarina's Ramanujan analogy is pretty direct. Better proofs → better Lean generation → better RL. A stronger signal means higher sample efficiency and higher maximum performance. Great!Scaling is pretty clear too: once I have proved something in Lean, the quality of the output is basically (footnote: one might argue that its a bit lower because the proof is in distribution for the LLM) as high as if it came from a human, so my high quality training set has grown in a way that an informal rollout corpus cannot. I can trust my Lean proofs.Compounding is also clear: now all of future inference and training can build upon those proofs.On the other hand, a model trained only using statistical signals like GRPO during RL lacks the sample efficiency, maximum performance and compounding corpus that a system that uses formal verification benefits from.All roads lead to verificationBroccoli and taxes notwithstanding, “verification” has shown up in a lot of conversations recently. In the in physical system control:“I think [verifiability] is probably the hardest problem right now, because the as the models get better, it can be harder and harder to find the faults on the system. And so the problem of doing proper eval to find those faults, that problem also keeps getting harder as the models get better.” -In theoretical physics:“…now that we're in this regime where you can just get ChatGPT to tackle thousands of questions at the same time, it will return proofs for a significant fraction of them. Now actually the onus is back on the humans to verify all the outputs. And so, yeah, as that becomes a bottleneck, I think formalizing math and automating verification will become more valuable.” -Verification is, in fact, the key differences between AI for science and AI for computation: in science you to have to actually test (verify) your hypothesis by performing physical experiments. Lab in the loop systems like Radical AI and Lila build around exactly this premise (we have recorded episodes with both of these teams and will release them soon!)And yes, formally verifying critical systems such as flight control, nuclear power plants and pacemakers is a growing focus as the software and hardware that run them becomes more complex.Carina believes so strongly that AGI requires verified generation that she makes the unqualified claim that “We do not believe there is any other possible future.”Expensive to produce, cheap to verifyLean proofs are hard generate, but they can be easily shown to be correct or incorrect. But how do you know that the proof you created maps correctly to the problem you care about? As Carina puts it: “Anything that can be specified can be proven. Humans are bad at specifying everything we want.”Are we now in the specification business? Check out the episode to hear Carina's take, as well as:* Why hardware verification is a killer app* Details on the AXLE open API and recently released Discovery toolkit* The Erdos debacle* The OpenAI GPT-f diaspora This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.latent.space/subscribe

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You'll need a map, compass and legend to understand all the new AI Google announced at its I/O conference last week. (They literally wrote a blog post called, "100 things we announced at I/O 2026” and most of them were AI based.) Luckily for you, we spend hours each day going through the latest in AI to cut the fluff from the real. So on today's ‘AI Working Wednesdays' series, we break down 3 of Google's biggest AI updates you can use today: Google Omni, Gemini 3.5 Flash and Antigravity 2.0. What's new and how do they work? We'll show you the ins and outs live. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageToday's Episode on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Gemini 3.5 Flash Model Hands-On DemoGemini 3.5 Flash Pricing and Token UsageBenchmarks: Gemini 3.5 Flash vs. 3.1 ProIntelligence vs. Cost in Gemini 3.5 FlashGemini 3.5 Flash for API and DevelopersGoogle Gemini Omni Flash Video Model ReviewOmni Anything-to-Anything Multimodal FeaturesGoogle Omni vs. Video Model CompetitorsAnti Gravity 2.0 Agent Desktop App OverviewAnti Gravity 2.0 Pros, Cons, and Use CasesUsage Limits in Google Gemini and Anti GravityChain of Thought Transparency in Gemini ModelsCanvas Mode Interactive Web App DemonstrationsTimestamps:00:00 Key AI updates from Google IO04:58 New Google AI updates discussed08:57 Google's anti gravity desktop use10:01 Touring Google's Anti Gravity App14:40 Testing a new AI prompt18:06 Critiquing vibe coding aesthetics21:28 Discussing Google's Gemini 3.1 Pro Model24:40 Comparing AI model performances and costs29:13 Google's advancements in video AI30:13 Future of Google's AI Technology33:58 Exploring Google Gemini features36:51 Google Gemini chain of thought feature42:02 Google Gemini's new model features44:23 River crossing puzzle gameplay48:25 Discussing Google Gemini 3.5 flash drawbacks51:10 Feedback on an AI releaseKeywords: Gemini 3.5 Flash, Google Gemini, AI updates, Google I/O 2026, Gemini Omni, Gemini Omni Flash, anti gravity 2.0, AI video model, hands-on AI demo, agentic coding, desktop AI app, benchmarking, AI model comparison, Gemini Spark, Gemini Pro 3.5, Gemini 3.1 Pro, token usage, API users, Google Workspace, always-on agent, AI cost efficiency, intelligent agents, world model, multimodal AI, generative video creation, video editing, scheduled tasks, Google Daily Brief, model usage limits, thinking steps, chain of thought, artificial analysis intelligence index, token inefficiency, cost to run AI, OpenAI GPT-5.5, Claude Sonnet, Claude Opus, open source AI models, AI-powered creativity, robotics, embodied AI, front-end AI tools, Canvas mode, conversational editing, interactive website builder, AI-powered app creation.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Start Here ▶️Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and all episodes: StartHereSeries.com Also, here's a link to the entire series on a Spotify playlist. 

Сегодня разбираемся, как Anthropic сорвал куш в $40 млрд от Google и SpaceX, а Claude стал новым стандартом для кодинга и дизайна. Обсуждаем GPT-5.5 Instant от OpenAI, их секретный смартфон и планы заработать $100 млрд на рекламе в чате. Выясняем, зачем Google тайно ставит Gemini Nano в ваш Chrome и зачем вешать дата-центры на стены жилых домов. Также в выпуске: релиз Mistral Medium 3.5, Grok 4.3, мобильный агент Trae Solo и китайские хитрости вокруг Manus. Залетаем в мир ИИ-музыки от Spotify и ElevenLabs, смотрим на завод роботов Figure AI и тестируем модель, обученную на данных 1930-х годов. В конце — юридические баталии Маска с OpenAI и важные новости для тех, кто хочет купить Mazda в Минске!

OpenAI の GPT-5.5 に関する記事を眺めて，今回のモデルでは何がアップデートされているかを二人で話しました．episode note: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠第118回（2026/05/13）: GPT-5.5のアップデート情報を眺めてみる⁠⁠⁠⁠-----------このPodcastは @navitacion と @asteriam_fp の2人の機械学習エンジニアが気になる話題・興味のあるトピックをお届けするPodcastです．ご意見・ご感想・お便り・ご質問は Twitter DM(@double_m2ml)，からお待ちしております．Keywords: 機械学習/データサイエンス/統計学/Kaggle/MLOps/行動経済学/キャリア...etc

У свіжому дайджесті DOU News обговорюємо оновлення від OpenAI: реліз GPT-5.5 Instant та появу ШІ-улюбленців в Codex для «вайбового» кодингу. Поки одні додають тамагочі в IDE, Cloudflare скорочує 20% штату через масштабну ШІ-реструктуризацію. Також у випуску: нові ліміти Claude від Anthropic, автоматичне підвищення зарплати як ліки проти токсичності та плани Spotify щодо персоналізованих ШІ-подкастів. Дивіться ці та інші новини українського та світового тек-сектору. Таймкоди 00:00 Інтро 00:24 Anthropic збільшує ліміти для користувачів Claude 03:51 Чи можна довіряти Claude у питаннях про колишніх та суперечки? 05:40 Твіт про Apple та Claude 06:28 Курс «Multi-Agent Systems» від robot_dreams 07:41 Жорстке звільнення 700 співробітників криптокомпанії о 7 ранку 10:14 Cloudflare скорочує 20% штату через ШІ-реструктуризацію 11:46 Meta змушує інженерів розмічати дані перед звільненням 13:52 DOU Day 2026 — останні квитки! 14:43 Чи врятує токсичну культуру автоматичне підвищення зарплати на 10%? 16:51 OpenAI випустила GPT-5.5 Instant 17:45 ШІ-улюбленці в OpenAI Codex: компаньйони для вайбового кодингу 19:23 Повідомлення Маска стали доказами у суді проти OpenAI 23:18 Spotify планує стати платформою для персональних згенерованих подкастів 24:50 Що рекомендує Женя: фільм «Король Річард: Виховуючи чемпіонок» та джаз

本期嘉宾：彭林、十天、森森、蓝白、恺伦本期节目的主要内容有：· 00:01:08 -- 苹果内置摄像头 AirPods 或 9 月发布· 00:09:18 -- 苹果因 AI Siri 延迟赔偿 2.5 亿美元，每台 iPhone 最高可获赔 95 美元· 00:14:38 -- 三星宣布在中国大陆停售所有家电产品· 00:26:16 -- 一加、realme 合并· 00:34:53 -- Valve 新一代 Steam 手柄宣布发售· 00:52:43 -- OpenAI 发布 GPT-5.5 Instant、扩容广告平台和实时语音助手· 01:09:15 -- 豆包付费订阅价格曝光，官方回应：始终提供免费服务· 01:24:46 -- 阿里发布「数字员工」QoderWake· 01:31:13 -- 阿里巴巴发布视频生成模型 HappyHorse 1.0· 01:37:11 -- 宇树 G1 人形机器人在韩国佛门「受戒」：法名「迦悲」· 01:46:23 -- 时代的眼泪：开播 24 年的星空卫视 5 月 8 日起暂停卫星传输服务· 01:57:32 -- 中方禁止外资收购 Manus 项目· 02:19:39 -- 闲聊环节我们的二手线下店位置在深圳·坂田北·吉华路·展誉公馆，离地铁站很近目前已经开业了，试营业期间活动也走起来了，具体可以听播客，感谢大家的支持~还有众多观众朋友的热心提问~每周五晚 8 点，爱否直播间，我们一起开心聊天

Сегодня обсуждаем громкий релиз GPT-5.5 и GPT-5.5 Pro от OpenAI, радуемся прокачанным ChatGPT Images 2.0 и корпоративным Workspace Agents, смеемся над эпичным фейлом Anthropic со сливом модели Mythos и оцениваем новый инструмент Claude Design. Также исследуем открытый стандарт DESIGN.md и новые процессоры TPU 8-го поколения от Google, вникаем в сделку века между SpaceX и Cursor, удивляемся цифровому бессмертию Марка Цукерберга и тестируем Open Source монстра DeepSeek V4. В конце выпуска поговорим про китайских вооруженных робособак, локальные модели ElevenLabs, использование Claude в АНБ, священников-"разметчиков" и бенчмарк на выживание человечества - KillBench.

Der bekannte und beliebte "AI Talk" heißt jetzt anders - nämlich "Wasner + Steinschaden", ganz so wie die beiden Hosts. Inhaltlich bleibt alles beim Alten - also Besten.In dieser Folge geht es um die großen Releases von OpenAI:

Hey everyone, Alex here

夏日暑假快到了，提早規劃下一檔出國旅遊吧！ 在國外上網也不用再那麼麻煩了 由 NordVPN 所推出的 Saily eSIM 服務，真的方便好用 下載 Saily eSIM 的 APP，在裡面購買並且啟用，eSIM 就可以開始作用 超過 200 個地區可使用，還可以幫你追蹤網路使用量 立刻點及專屬連結下載 Saily APP，並在結帳時使用優惠代碼 [miula]，立即享有專屬 eSIM 方案 85 折優惠！ M觀點 X Saily eSIM - https://saily.com/miula #SailyeSIM --- EP298. 英特爾突然爆紅、OpenAI GPT-5.5、創作者該如何用 AI | M觀點 --- (00:40) EP298 預告 (02:57) 業配時間：Saily eSIM (06:13) 川普週末遭到槍擊 + 台積電狂漲 (09:36) 第一個話題：英特爾突然爆紅 (50:07) 第二個話題：OpenAI GPT-5.5 (56:46) 第三個話題：創作者該如何用 AI --- M觀點資訊 --- 科技巨頭解碼: https://bit.ly/3koflbU M觀點 Telegram - https://t.me/miulaviewpoint M觀點 IG - https://www.instagram.com/miulaviewpoint/ M觀點Podcast - https://bit.ly/34fV7so M報: https://bit.ly/345gBbA M觀點YouTube頻道訂閱 https://bit.ly/2nxHnp9 M觀點粉絲團 https://www.facebook.com/miulaperspective/ 任何合作邀約請洽 miula@outlook.com -- Hosting provided by SoundOn

У свіжому дайджесті DOU News обговорюємо кінець епохи: Тім Кук залишає посаду CEO Apple. Разом з тим OpenAI несподівано релізить GPT-5.5, а SpaceX готує рекордну угоду з викупу ШІ-стартапу Cursor за $60 млрд. Також у випуску: уряд все ж відмовився від ПДВ для ФОП, масовий витік даних у Vercel та програма «добровільних звільнень» від Microsoft. Дивіться ці та інші новини українського та світового тек-сектору. Таймкоди 00:00 Інтро 00:22 ПДВ для ФОП не запроваджуватимуть: уряд шукає інші рішення 01:49 Інтеграція: інвестиції в нерухомість з Green Rest 03:04 Claude Code більше не входить у Pro підписку? 05:55 На війні загинув тестувальник зі SQUAD Олексій Іолтухівський 06:24 Злам Mythos: до секретної моделі Anthropic отримали доступ 10:25 DOU Day 2026 — третій день події 11:31 Дочекались! OpenAI випустили GPT-5.5 14:08 Тім Кук залишає посаду CEO Apple 16:33 Розіграш трьох маків та збори разом з KOLO 17:41 SpaceX готується викупити Cursor за $60 млрд 20:43 Vercel повідомляє про масовий витік даних користувачів 23:49 Amazon змінює назви посад: тепер усі — «builders» 26:02 КПІ відкрив другий набір на курс для ветеранів 26:41 Meta скорочує штат на 10% 28:43 Microsoft пропонує програму «добровільних звільнень» 30:38 Google інвестує $40 млрд в Anthropic 32:32 Deezer: ШІ-музика майже наздогнала людську за кількістю завантажень 34:33 Що рекомендує Женя: The Procrastination Matrix та Laws of Software Engineering

We Like Shooting - Ep 659 This episode of We Like Shooting is brought to you by: Midwest Industries (Code: WLSISLIFE) Die Free Co. (Code: WLSISLIFE) Bowers Group (Code: WLS) Otis Technology (Code: WELIKESHOOTING15) Flatline Fiber Co (Code: WLS15) Text Dear WLS or Reviews +1 743 500 2171  Public   Show Titles   GOA GOALS Aug 1-2 in Iowa. https://goals.goa.org/ GunCon.net Tickets on sale now. Use code AGENCY171 GEAR CHAT Note Butt PUMP – https://x.com/Guns_com/status/2045565654690922951 [PTR] The Jack PTR's The Jack is a pump action 12 gauge shotgun offered in SBS or AOW format, based on a cutdown Mossberg Maverick 88. It features a 7-inch barrel and includes a sidesaddle shell carrier. The SBS model comes with both a stock and pistol grip for swapping. [Heckler & Koch] SP7 (Nick) The Heckler & Koch SP7 is a compact, civilian-legal semi-automatic pistol derived from the MP7 personal defense weapon. Chambered in 4.6 × 30 mm, it features a gas-operated rotary bolt system, low recoil, and exceptional accuracy with modern ergonomics including a full-length Picatinny rail and ambidextrous controls. Designed for professional security, tactical use, collectors, and sport shooters where legal. [Active Safety Designs] ARHK (Nick) The ARHK is a fully self-contained drop-in cassette trigger unit built on ARC-Fire technology, designed specifically for HK roller-delayed platforms including MP5, MP5K, and others. It installs directly into factory OEM polymer housings without modifications, featuring a pre-installed ejector and compatibility with all bolt carrier types. The trigger offers a three-position selector: Safe, Semi (standard pull), and Active Reset. [Beecher Tactical] NP-04 Plate Carrier (Nick) The NP-04 Plate Carrier by Beecher Tactical is designed from the ground up for additive manufacturing using fiber reinforced TPU and high strength cordage. It features a modular, user serviceable design with a structural, armor optional cummerbund and a padded liner of lightweight foaming PEBA for sweat wicking. Weight is around 3lbs dry, tested to hold 23lbs total load including plates. [OpenClaw] OpenClaw AI Agent (Savage) OpenClaw is an open-source AI agent platform that runs locally on macOS, Linux, or Windows, integrating with chat apps like WhatsApp, Telegram, and Discord to execute tasks such as managing emails, calendars, and shell commands. It supports various LLMs including Anthropic Claude, OpenAI GPT, and local models via Ollama. The software is free to install via a one-liner script but incurs costs for API usage and hosting hardware. BULLET POINTS SDS Arms Inglis 2035 The Inglis 2035 from SDS Arms is a modernized Hi-Power style pistol featuring a straight slide with lightening cuts, optics-ready configuration with suppressor-height sights, single-slot rail, aggressive serrations, extended beavertail, crisp flat trigger without magazine disconnect, G10 grips with palm swell, large ambidextrous safeties, and 15-round magazine capacity. It incorporates contemporary enhancements like a massive slide stop and magazines that drop free. The design is positioned for personal defense and close quarters, with potential military or police applications. FN PureView Holographic Pistol Sight The FN PureView from FN America is the world's first holographic pistol sight utilizing ImageGuide technology to project a 3 MOA dot that remains aligned with the user's line of sight for reduced distortion and improved accuracy. It features a compact aluminum and titanium construction with a DeltaPoint Pro footprint, automatic brightness adjustment, and motion-sensing auto-on/off. Battery life is 800 hours continuous with a CR2032, and it operates from -40°F to 126°F while being waterproof and fog-resistant. GUN FIGHTS No one stepped into the arena this week. THE AGENCY BRIEF Agency Update  Agency Update  THE HOOK (COLD OPEN) THE INTEL (THE STORY) Why? The Play-by-Play The Reality Check (Hidden Incentives) Rumors THE 2A ANGLE (LEGAL & IMPACT) The Threat Bruen Test Regulatory Creep THE TALKING POINTS (ON-AIR READY) WLS IS LIFESTYLE Parametric OWB Holster for Handguns using TLR-1 This is a universal parametric 3D-printable OWB holster designed for handguns equipped with Streamlight TLR-1 or Harbor Freight Braun weapon-mounted lights. Retention is based on the light body, allowing customization of dimensions to fit various guns via parametric files, with options for TEK LOK or Safariland mounting patterns and standard or metric hardware. Recommended for printing in PETG, it addresses limited aftermarket holster support for certain firearms. Explaining Bail in the Myrtle Beach Self-Defense Shooting Case On June 12, 2025, Tequarius Barrett, 19, was charged with first-degree assault and battery after allegedly firing a gun in a late-night altercation near North Ocean Boulevard in Myrtle Beach, South Carolina, claiming self-defense under the state's stand-your-ground law. His bond was reduced from $200,000 to $20,000 with strict conditions including GPS monitoring and firearm prohibition, highlighting bail challenges in self-defense cases. A stand-your-ground immunity hearing is set for April 17, 2026. THE ALLEY Pauls Valley High School Shooting Incident: Principal Tackles Armed Intruder On April 8, 2026, 20-year-old Victor Lee Hawkins entered Pauls Valley High School armed with two loaded pistols. One pistol malfunctioned when he attempted to shoot a student, allowing principal Kirk Moore to tackle him despite being shot in the leg. No specific manufacturer, model, or technical details of the firearms are provided. Note Are you ready to do what needs to be done? Prepare yourself today, the body can't go where the mind has never been. https://www.breitbart.com/2nd-amendment/2026/04/14/video-high-school-principal-tackles-wouldbe-mass-shooter/ Not Stated The article describes an incident at Old Dominion University where a pro-ISIS shooter named Mohamed Jalloh opened fire, but no specific manufacturer, model, or technical details about the firearm are provided. Army ROTC cadets, including Cadet Louis Ancheta, subdued the attacker using a pocket-knife, with no details on its make or model. No technical gear matching the required criteria (firearms with manufacturer and model) is explicitly detailed. GOING BALLISTIC Professor Jens Ludwig Pushes Behavioral Training and Public Space Improvements for Gun Violence Reduction (Savage) University of Chicago Professor Jens Ludwig advocates alternatives to uncertain gun control measures, proposing behavioral training programs like ‘Becoming A Man' in Chicago public schools to teach de-escalation of conflicts and urban design changes such as converting empty lots to pocket parks. These interventions target intuitive human thinking patterns (95% of brain activity) and environmental factors in high-violence areas to prevent escalation to gun violence. Detailed in his 2025 book ‘Unforgiving Places: The Unexpected Origins of American Gun Violence,' the approach focuses on low-income U.S. neighborhoods without restricting firearms ownership. GOA Demands Investigation into ATF's Leaking of Personal Information in Silencer Shop Found. v. BATFE (Savage) Gun Owners of America (GOA) is demanding a U.S. Department of Justice Office of the Inspector General investigation after DOJ attorneys representing the ATF publicly disclosed sensitive NFA tax returns and personal details of a GOA member on a court docket without redaction during the Silencer Shop Found. v. BATFE litigation. The filings included unredacted ATF Forms 1 and a declaration detailing the member's firearm collection, with the error repeated even after being alerted. GOA cites potential violations of 26 U.S.C. § 6103 prohibiting public disclosure of such information. Shreveport, Louisiana: Convicted Felon Kills 8 Children in Mass Shooting (Savage) A convicted felon in Shreveport, Louisiana, fatally shot eight children aged 3 to 11 across three homes and injured two adult women on April 19, 2026, before being killed by police after a chase. The perpetrator violated federal law by possessing a firearm due to his prior felony conviction for shooting at a vehicle. The incident has sparked political commentary on gun control, with critics like California Gov. Gavin Newsom blaming the NRA and calling for restrictions. 13 U.S. Senators Demand ATF Stop Enforcing Vacated Biden-Era ‘Pistol Brace' Final Rule (Savage) Thirteen Republican U.S. Senators, led by Sen. Bill Cassidy (R-LA), sent a letter to the ATF on April 15 demanding an end to enforcement of the vacated 2023 ‘Factoring Criteria for Firearms with an Attached Stabilizing Brace' rule, which classified most pistols with stabilizing braces as short-barreled rifles under the National Firearms Act. They urge the ATF to issue an interpretive rule clarifying that braced firearms are not SBRs and to seek a permanent injunction via ongoing litigation by Texas and Gun Owners of America. The rule was vacated by courts in August 2024, but ATF signals intent to continue its legal theory. REVIEWS Review: Brown guy 78 from Iowa Review from Brown guy 78, Solid gun knowledge, Shawn is deeply dove into giving the listeners knowledge, Jeremy is usually sick and snotty, but his knowledge is endless, Nick is the sharpest edge, maybe because he's silent most of the time. Aaron is absent . So yeah, great podcast! (Intentionally left Savage out.. fuck him.) 5 stars! Love this show! Review: Anonymous Coward from Florida PooP Review: Anonymous Coward from OR Hilarious that this guy is offended by Trump's actions where was he when Biden was falling down stairs tripping over chords calling out for a dead person in the crowd. Confused walking down the White House lawn passing the door He's supposed to be entering. Not sure where to go on stage....

“The technology we’re working with today really makes a lot of those best practices and mental models and the whole toolkit more accessible than ever to more people.” –Marshall Kirkpatrick About Marshall Kirkpatrick Marshall Kirkpatrick is founder of sustainabilty consultancy Earth Catalyst and AI thinking tool What's Up With That. His many previous roles include founder of influence network analysis tool Little Bird, which was acquired by Sprinklr, where he was last Vice President Market Research. Website: whatsupwiththat.app LinkedIn Profile: Marshall Kirkpatrick What you will learn How generative AI transforms cognitive tools and lowers barriers to advanced thinking Techniques to combine human and AI-powered sensemaking for richer insights Practical strategies for filtering and extracting value from infinite information The importance and application of diverse mental models in modern decision-making Methods to balance manual cognitive work with AI assistance for optimal outcomes The role of adaptive interfaces in enhancing individual cognitive capacity Metacognitive approaches to networks and how AI can foster organizational awareness Ethical and societal implications of democratizing access to AI-powered cognitive enhancements Episode Resources Transcript Ross Dawson: Marshall, it is awesome to have you back on the show. Marshall Kirkpatrick: Oh, thank you, Ross. It’s such a pleasure to be reconnecting with you here. Thanks for having me on. Ross Dawson: So back you were very, very early on in the podcast when it was Thriving on Overload, and it was interviews with the book, and you got incorporated—some of the wonderful things you were doing in Thriving on Overload. So I think today, in this world of generative AI, which has transformed everything, including the way in which we think, the Thriving on Overload themes are still super, super relevant, and in a way, we need to be talking about them more. That theme at the time was finite cognition, infinite information. How do we work well with it? I don’t know if our cognition has become more finite, but the information has become more infinite, and there’s just more and more. But also, it cuts two ways, as in, what is the source of all the information? AI is also a tool. So anyway, let’s segue from some of your cognitive thinking tools, technology-enabled cognitive thinking tools and so on, which we looked at. So how do you—where are we? 2026, what do you think about human cognition in our current universe? Marshall Kirkpatrick: Well, especially when you frame it up in Thriving on Overload terms. I mean, those were four, five long years ago that we last spoke, and the book that came out of it was just fantastic. I think it has some timeless qualities, and I think that the technology we’re working with today really makes a lot of those best practices and mental models and the whole toolkit more accessible than ever to more people. That’s what I hope. I think that, yeah, between individuals and organizations, there’s so much that, historically, someone like you or me or the people closest in our networks were willing and able to do and excited to do, that many other people said, “That sounds like a lot of work.” The bar is lower now, because a lot of just the raw cognitive processing can be outsourced into a technology that serves as a lever. Ross Dawson: Well, I mean, that idea of levers for these cognitive tools is interesting. I guess, the very crude way of saying it is, we’ve got inputs into our human brain, and then we are processing information. I’m just thinking out loud a bit here, but it’s like, okay, we have tools to be able to filter, to present, to find what is most relevant, to present it to us in the ways which are most useful—very obvious, like summarization, visualization. Then as we are processing it ourselves, we have dialog, or we can have interlocutors who we can engage with and be able to refine and help our thinking. Does that sort of make sense, or how would you flesh that out? Marshall Kirkpatrick: Yeah, I mean, when you put it that way, it makes me think about Harold Jarche and his Seek, Sense, Share model, right? I think that AI, especially when connected to things like search and syndication and other traditional technologies, can impact all three of those stages. It can hypercharge our search. I think the archetypal example of that, on some level, feels like the combinatorial drug research being done, where just an otherwise cognitively uncontainable quantity of combinatorial possibilities between molecules can be sought out and experimented with for a desirable reaction. And then that sensing, or the pattern recognition that AI is so good at, is something that we do as humans—some of us better than others—and it’s a lifelong muscle to build and what have you. But the AI is really, really good at it, and so it’s a ladder to climb up in some of that sensing. And then the sharing component becomes so much easier with the rewriting capabilities—turn A into B, reformat something into a summary or a set of bullet points, or ideas and words into code. AI is just so excellent for that translation that makes new levels of sharing possible. Ross Dawson: That’s fantastic. Yeah, I had Harold on the show again in the Thriving on Overload days. But you’re right, that’s extremely relevant. Let’s dig into that. I love that you brought up that combinatorial search, which is so important. As opposed to going into Perplexity to do a search, it’s far more interesting to find the uncovered connections between things, which are relevant to what you’re doing. And that’s— Marshall Kirkpatrick: Absolutely. I remember reading, years ago, Dan Pink’s book “A Whole New Mind,” which preceded the generative AI era. But he said, if your kind of work is something that’s easily reproducible by computers, good luck to you. You really are going to need uniquely human practices in the future, and what exactly those are, I’m not sure, because the one that he identified, I don’t think has proven to be uniquely human. But I really appreciated learning about it from him, and that was what he called symphonic thinking, or the ability to draw connections between seemingly unconnected phenomena. So for many years, I have been doing a personal exercise with pen and paper that I call triangle thinking, where I’ll take three different phenomena—maybe that’s the owl outside my window, one of the notes that I’ve taken on paper, and something I come upon on the internet, or maybe it’s three very deliberately related things. I label them A, B, and C, and I ask, what might A have to say about B? What might B offer to A, and vice versa? I write out the six unidirectional connections between those things. And without fail, one, two, or three of those end up being real keepers, where I say, “Aha, that’s a really interesting idea. I’m going to take action on that.” And now, by the time I’ve got the letter B written out, an AI has done that ten times over. I like to do it both ways—still both AI and with my naked brain—but that combinatorial ideation, the generative combinatorial ideation, is, yeah. I’m curious what your thoughts and experience and hope for that might be. Ross Dawson: Well, there’s a prompt I use called “Apply Diverse Thinking,” where it generates extremely diverse perspectives on a topic—who might those very unusual people to think about something be, and then what would they think about this particular situation? Of course, there are a whole array of different thinking tools. There’s Marshall McLuhan’s tetrad, which is a little bit similar to your thing where, again, you can and should do it—well, not manually. What’s the manual equivalent of brain? Marshall Kirkpatrick: Thoughtfully, perhaps. Yeah, good one—deliberately, manually. I mean, Azeem Azhar over at Exponential View uses a fountain pen and paper and will sometimes have his team come online and they’ll do two-hour thinking sessions with no AI allowed. They just get on, I believe, Zoom, and just think through things with pen and paper, individually and together. And then they’ll kick off OpenAI or what have you, and use all the tools afterwards. Ross Dawson: Yeah, well, a couple of things. Actually, research has shown that in brainstorming, it is better for everyone to ideate individually before doing it collectively. And of course, that’s unaided. I think there are analogs there where—actually, one of the frameworks I just released last week was basically to say, think it through for yourself before you ask the AI, because then you have a reference point. If not, you don’t have a reference point to say, “Well, what am I expecting it to do? Let me think it through for myself,” even if it’s just a little bit, as opposed to just going in blank—”All right, give me an answer.” Just that simple thing of thinking through for yourself first is enormous. What it does is, obviously, give you a reference point for that. And I’m going on a lot about appropriate trust at the moment—as in, trust the AI enough, but not too much, which I think is absolutely critical capability. And part of it is being able to say, “Well, this is what I think it should be giving me.” Now you have a reference point for what it gives you. Marshall Kirkpatrick: Yeah, that sounds great in many cases. I do think that’s the right tool for the job in a lot of places, but not necessarily all. I’m thinking of the Iron Triangle of product management—fast, cheap, good, pick two. On some level, just handing the AI the keys for certain decisions is uniquely fast and cheap, right? And maybe it’s good enough. Ross Dawson: Oh yeah. Well, you’ve got to choose your battles, because if you’re now doing ten times what you were doing last week, then maybe for a tenth of those you can do some thinking before you delegate it to the AI. Marshall Kirkpatrick: Yeah, a strategy for how to do that. I think, well, that sounds important—some checkpoints along the way, some random selection of testing things. Ross Dawson: Well, that’s interesting. One of the critical things people talk about with AI model oversight is sampling. As they say, “Okay, I’ve got 1,000 outputs—I’m going to take 20 of them and check how good they are.” You’re not checking every output, but you’re doing some kind of ongoing sampling. Marshall Kirkpatrick: Are you checking with your own deliberate brain, or are you checking with another AI? Ross Dawson: It could be either, depends on the case—how critical it is. This comes back, of course, to the fact that accountability is only human, and so the human who is accountable has to make that decision: “All right, I’m happy for another AI to check it,” or, “Actually, I want to go in myself to see.” And that’s a judgment call. Marshall Kirkpatrick: Totally. And it feels like a process design issue and a personal accountability matter. I mean, “The AI made me do it” is not a viable excuse. Ross Dawson: Let’s hope it remains that way. So, good for those Seek, Sense, Share stages. Sense is one of your superpowers, both in the way you think and also the way you use the tools. It’s probably worth introducing—now you’ve just released this wonderful product called What’s Up With That. So just tell us about the product, but also, I want to go to the bigger context of sense—sensemaking, how we use it generally, how AI can use that, and your role with the tool in that. Marshall Kirkpatrick: Yeah, you know, I think there are so many different ways that sense can be made of anything, so many different ways that anything you read or think about or do can be put into context. It’s just overwhelming. I think we all have our favorite—not all of us, but those of us who are into this have our favorite tools, our favorite ways to—you know, a lot of people will think about something in terms of its past, its present, and its future, or they will break it down in analysis into parts, or they’ll synthesize it together with other phenomena and see how to understand. I think sometimes of the famous Donella Meadows quote, the mother of systems thinking, who said, “Systems thinking isn’t any better than analytical linear thinking than a telescope is better than a microscope.” So there’s just a superabundance of fascinating, powerful tools that all provide different views on anything we’re trying to make sense of. One of the things that I’ve always found a lot of joy and usefulness and power in is learning about new lenses and processes and tools. Now that generative AI has put the ability to develop software into my hands—instead of having to go and hire someone else to build that software—I have built a system that takes as many of those different models and lenses and processes for making sense of something as I can. I mean, it would be trivial to pull up a list of 200 mental models. I might go visit Shane Parrish’s website and The Knowledge Project. I think of ones that would be particularly useful, like, “Tell me who the intellectual predecessors are of this thing I’m reading,” or one of the other capabilities inside of What’s Up With That—my favorite, probably, is a combinatorial one called Fertile Edges. That says, “Take what I’m reading right now, identify the topic that it is a constituent of, and then find other adjacent topics where innovative people have built bridges between those adjacent topics and what I’m reading about, and tell me who those people are.” And that’s really fun. So I have built this sensemaking system, and that’s a part of What’s Up With That. There are really three parts to it. The first is, it analyzes whatever you’re reading or watching, and it pulls out the net new, truly novel, most notable elements. Yesterday, I was telling you, it was a little bit inspired by the US military intelligence guideline that says, when you’re writing up a report about something, focus on what’s new in that situation—tell us what we don’t already know. That’s the first thing that What’s Up With That does. It says, “All right, here’s what’s new in this document relative to its field,” because we just drew a real-time map of the state of the art, and we say, “Okay, here’s what’s really novel there.” The second thing that it does is that toolbox full of all the different mental models and lenses, and it recommends a sequence. One of my favorite books I ever read was “On Grand Strategy,” about strategic thinkers throughout history, who talks about the significance of thinking in terms of sequences of actions. So now, What’s Up With That will say, “Here’s a sequence of analytical lenses we recommend that you subject this document to,” and with a click, it’ll go and do that for you—it’ll do that cognition for you and then just give you a report. The third thing that it does is probably—it, the shorthand for it is compound learning. You don’t have to remember all the things that you read anymore, because our system extracts the causal claims from everything you read, archives them, and then compares everything you read in the future that you analyze with our system to your library of causal connections in the past, to say, “Whoa, we just found a chain of claims that could surface a multi-step risk or opportunity that’s relevant to your work.” We do that both for your data exhaust—your history of things you’ve analyzed—and we do persistent monitoring of the web to detect anything that could be relevant to a project or chain by that same kind of symphonic synthesis and connection. So those are the categories that it has. Ross Dawson: Yeah, I think you’re only scratching the surface of what your tool actually does, and obviously, more generally, these are just pointing in wonderful ways to how you can go beyond saying, “Tell me about this, ChatGPT,” to some far more nuanced ways of getting AI to do it. Marshall Kirkpatrick: People have had the same challenge with Google, historically. Google has struggled with that, to figure out—”I’m feeling lucky” was probably the first intervention in a novice, beginner’s mind, coming to a hyper-complex opportunity space. Even still, now, 20 years since Google launched, I feel like you can tell people that they can search for “site:domain keyword” to find instances of that keyword not in the web at large, just inside that specific domain, and most people don’t know that. It’s a simple power, and there’s a bunch of things like that. So figuring out how to unlock—and I don’t know how much they’ve even worried about it, because they’ve got that cash cow of advertising—but people don’t even recognize, sometimes, whether they’re clicking on an ad or a search result. In polls, when people are asked, they say, “No,” even if they put the ads at the top or mark them as ads, or a bunch of stuff they do do, but nobody notices. So that interface of complexity and accessibility and scale—we’re in it again here now, in this generative AI era. There’s so much more that could be done than is immediately obvious. It’s a real challenge. So I’ve taken the approach that I have, which is to roll up a bunch of that and turn them into buttons and recommend them automatically and try to recommend them just in time, and stuff like that. But I’m sure lots of different people are going to try to respond to that gap of simplicity and complexity in different ways. Ross Dawson: Yeah, that’s—which comes back, I think, a little bit to, you know, I firmly believe that the heart of the future is interfaces. We have these extraordinary capabilities—against finite cognition and infinite capabilities, let’s call them. That’s very much to the individual. The adaptive interface, I think, is going to be absolutely critical. All right, well, it’s after lunch and I’m not feeling so—the interface adapts to you. Marshall Kirkpatrick: So I heard you say that. Ross Dawson: The interface adapts again. Marshall Kirkpatrick: Right? I heard you say that in a conversation with Ramez Naam some time ago. I was listening to that interview that the two of you did together while I was playing hacky sack out in front of my house. I grabbed my hacky sack and I said, “I’ve got to go inside and do something about this idea of Ross—yes, interface variability.” In that case, I did a little experiment that I didn’t implement because I decided not to, but the general idea I want to pursue further, and I’ll tell you what that experiment was. One of the capabilities inside of What’s Up With That is that you can get a reading review synthesized, so that instead of just a list of links, you can get a narrative document exploring the themes, weaving together the last ten articles that you’ve read, and it’s easier to remember and to think about. I decided to hit the Nanonets API and have an image put up at the top that illustrated the themes. Now, maybe it’s just because I read a lot of dystopian AI, authoritarian politics type of stuff, but the images were terrifying, and they’re kind of expensive and slow, and they also look kind of repetitive. I was like, “All right, Ross, I haven’t cracked that nut quite yet in the variable interface, but I think you’re really on to something there.” Ross Dawson: I’ll try to work on that too, a little bit. So coming back to this wonderful thing we laid out, alluding to some of the wonderful ways we can use for really rich investigation of ideas and how to think. It comes back to this frame of mental models. All of us get our mental models from the moment we’re born—we get this understanding of the world, which is hopefully useful. Sometimes, some people’s mental models are not very effective in guiding them in how they work. Our role is to continue evolving, getting better. I call it enriching mental models. Back in my first book, I talked about that, and of course, that’s in the context of the world changing, so mental models can’t be static anyway. In a way, what you’re pointing to is the many, many ways in which we can, at one point, improve our mental models. All right, I understand this linear lineage of thinking, and I can see the strands between that, and these neurons are connecting in my brain in some form. But how can we pull to that bigger picture of all of this lattice of things to be able to say, “All right, I am actually thinking better through these interactions”? Marshall Kirkpatrick: You know, I think that there is a visceral sense—a sense of safety that can come sometimes when a new mental model illuminates a risk that you hadn’t considered before, and you breathe a sigh of relief and say, “Oh, thank goodness, I can now account for that.” And there’s an excitement with opportunity. There is something about a collective greater-than-individual opportunity here, because it’s tempting to—I’m not sure what that looks like, but I feel like there’s some social and interpersonal and network-based. One of the other things I do is build systems for network self-awareness, to build metacognitive network monitoring kinds of systems. I feel like there are mental models on that level as well. Ross Dawson: So I’ve got to dig into that—metacognitive network monitoring. Explain Marshall Kirkpatrick: Yeah. So every one of us, and our organizations, exists in a network of customers, suppliers, competitors, regulators, thought leaders, with orbits that extend out. The signals are strongest in the closest ones, and perhaps they are weaker and harder to hear, but really significant coming from outer orbits—even from other industries or other topics. It is overwhelming. It is cognitively uncontainable for any of us to keep up with all the work being done, all the thoughts being shared, all the new developments and opportunities from all the different entities that we’re interconnected with. One of the other offerings that I build for organizations is a system where I go out and map as many of those as possible with people. Those might be your target accounts you’re wanting to sell to, or your peers in a community of practice. Then I set up systems, basically using RSS, email newsletters, web page change notification—the technical underpinnings—to say, especially when organizations are—there are some forms of communication that organizations do naturally by default, and those tend to be speaking to their own customers. If you can listen to what organizations are saying to their own customers at scale, you can pull in a large quantity of signal, and then the challenge is to winnow that down into just the filtered signals that are most relevant to your priorities. I’ve got a system that uses AI to do that. Then there are combinatorial possibilities as well. I’ve started merging that in with What’s Up With That now, for example, where when we’re watching your broader network and a signal gets picked up on the back end, we’re generating hundreds of possible scenarios for that signal to intersect with your work and projects and priorities, and then we’re filtering to say, “Yeah, but tell me just the subset of these that are most significant and imminent and actionable and interesting.” If there’s something, then we will alert you and tell you what’s going on. Otherwise, you never hear from us, and you just go about your business. But a couple times a day, I get alerts. Yesterday I got an alert that said, “Hey, one of the founders of Manus, the AI platform that Meta just acquired for $2 billion, just got detained in China trying to go back to Singapore. Given your interests in AI and anti-authoritarian politics and the infrastructure battles around AI, we thought you might want to know about this.” I said, “Thanks, What’s Up With That, I really appreciate it.” That’s an example of the sort of thing—so that’s how I do it. Other customers will take that and use it to populate a podcast or a newsletter, and do both an intake and an output as a conduit of that kind of network self-awareness. Ross Dawson: Yeah, well, as you know, my kind of—my metacognition is my mantra. I think one of the key points is this simple question: How can AI assist me in getting to a point of metacognition? I would argue, if we use AI even vaguely well, it’s already doing that, because you’re saying, “Okay, well, let me think about what I can do and what the AI can do,” and you’re starting to think of that system. The only thing that enables this humans plus AI is metacognition, because you can actually see above and see your role and the AI’s role. I think this broader question of saying, many of the things you’ve been talking about are how AI is helping us to get to a point in metacognition. Marshall Kirkpatrick: Ross, can I ask you a question adjacent to that? I think I am not the only one who wants to know, perhaps—and maybe this is a trade secret, I don’t know—but how you think about your analysis and sharing of scientific research papers online? You’re so good at that, and you do a lot of it, and it’s really valuable. It comes to my mind when you talk about metacognition—what role does that function, what are you doing there, what role do you see that playing in this bigger conversation? Ross Dawson: Well, I’ll just tell you the mechanics of it, which might partly answer your question. I go into, often, three or four of the AI engines, including Grok, actually, because it’s very good at search. I say, “Tell me the most interesting research papers in the last few weeks,” whatever—on, I might say, human-AI collaboration or AI and strategy, whatever it might be, just different frames. Then I go and look at them. To be frank, I probably should do some more filtering with AI and tell them, “Only from reputable authors,” etc., because I have to just look at a lot of stuff, but that’s useful in its own right. Then I start to see, okay, this is a paper which is not only interesting, but actually would be useful to summarize for other people. I do a lot of surfacing—a lot. I’m very quick at scanning, so that’s just a mental process. At that point, when I found the paper, I’ve got a Gemini gem and an OpenAI GPT, both of which I call Insight Distiller. Basically, I stick the paper in there, it comes out, and I always rewrite it. I will either prompt the AI to improve it in various ways, and then always just rewrite or choose which of the points I put in, and so on. So there’s actually a fairly manual process, but very, very AI-assisted. To your point, there’s so much extraordinary research going on, and people don’t look at it. The function, I think, is what you’re alluding to—it’s just like saying, “This is the essence of a paper, and you can read it in a few minutes and get some really good insights, and hopefully that will inspire you to go have a proper look at the paper, because there’s a lot more in there.” To myself, of course, going through all that is enormous and valuable to me, but it’s useful to others too. Marshall Kirkpatrick: Absolutely, wow. That is a high-touch. That’s great. I bet you really have a lot of compounding learning as a result of it. Ross Dawson: Yeah, it’s kind of this thing where, just the nature of how my brain works and my immersion in stuff, I think it somehow gets me to some decent understanding of what’s going on. So to round out, what’s the next phase? I think this is an extraordinary time, but in the frame of what we’re talking about—AI and cognition—from your perspective, or just the world’s perspective, where do we go from here? Marshall Kirkpatrick: Well, I think that it comes down, in part, to values. I can’t help but think about this K-shaped future that we risk moving towards, where some people are using all kinds of augmented capabilities and building on top of past experience and education and what have you, and income inequality just gets more and more intense. The gap between people who are excited about this stuff and can use it, and everyone else, just gets all the bigger. That’s not good for anybody. I really hope that isn’t the case. I’d love to get the J of exponential change without too much of the K of increasing inequality. I think that’s the direction we’re pointed in, but I do hope that we can democratize access to a lot of these capabilities and figure out how to use them in partnership with other ways of thinking—like Azeem and his team, writing on paper, like some of the indigenous traditional knowledge practices around the world that are very place-based and around ecosystem balance and recognizing humans as a part of nature, working with AI and technologies. I’d love to see this be an additive experience, more than a destructive experience for humanity and the rest of the planet. Ross Dawson: Yeah and that’s why you and I both working on is doing whatever we can to nudge things in those directions. So where can people go to find out more about your wonderful work? Marshall Kirkpatrick: Well, these days, I am pointing people mostly to whatsupwiththat.app. That’s kind of my home these days for all the different work. Ross Dawson: I’ll recommend it. Marshall Kirkpatrick: Oh, thank you so much, Ross. Ross Dawson: Very useful, and I’ve only just begun to use it so— Marshall Kirkpatrick: Awesome, well, let’s stick some of those papers in there and red team it and hit “Find Science” and get other scientific reviews of the claims in the paper, etc. Thanks—it’s so great to be back in touch with you here and not just watch from a distance, but to get to put our heads together like this is a real pleasure. Ross Dawson: Thanks so much, Marshall. The post Marshall Kirkpatrick on cognitive levers, combinatorial possibilities, symphonic thinking, and compound learning (AC Ep39) appeared first on Humans + AI.

Our 236th episode with a summary and discussion of last week's big AI news!Recorded on 03/06/2026Hosted by Andrey Kurenkov and Jeremie HarrisFeel free to email us your questions and feedback at andreyvkurenkov@gmail.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode:* OpenAI released GPT-5.4 Pro with a 1M-token context window, mid-response course correction, native computer-use capabilities, improved tool use, higher GPT-VAL performance (83%), and “high cyber capability” safety measures; OpenAI also launched GPT-5.3 Instant with a less “preachy” tone and a claimed 26.8% hallucination reduction.* Google upgraded Gemini 3.1 Flash Lite with faster time-to-first-token and higher throughput, released a CLI for integrating agents with Gmail/Drive/Docs, and discussion highlighted real-world agent failure risks (including an example of an AI-driven mass email deletion).* Luma launched unified multimodal models and Luma Agents for end-to-end creative work across text, image, video, and audio, including a reported ad localization use case completed in 40 hours for under $20,000.* Defense-contract controversy escalated: Anthropic was labeled a supply chain risk (later narrowed), OpenAI's DoD contract language emphasized “all lawful uses,” consumer cancellations boosted Claude's app rankings, OpenAI saw departures and announced a $110B raise at a $730B valuation, Alibaba lost key Qwen leaders, a lawsuit alleged Gemini contributed to a suicide, Anthropic warned of major labor disruption, and METR corrected its AI time-horizon estimates.A thank you to our current sponsors:Box - visit Box.com/AI to learn moreODSC AI - go to odsc.ai/east and use promo code LWAI for an additional 15% off your pass to ODSC AI East 2026.Factor - head to factormeals.com/lwai50off and use code lwai50off to get 50 percent off and free breakfast for a yearTimestamps:(00:00:10) Intro / Banter(00:01:19) News PreviewTools & Apps(00:02:10) OpenAI launches GPT-5.4 with Pro and Thinking versions | TechCrunch(00:12:31) OpenAI GPT-5.3 Instant less likely to beat around the bush • The Register(00:16:07) Google releases Gemini 3.1 Flash Lite at 1/8th the cost of Pro | VentureBeat(00:19:23) Google makes Gmail, Drive, and Docs 'agent-ready' for OpenClaw | PCWorld(00:27:02) Luma launches creative AI agents powered by its new ‘Unified Intelligence' models | TechCrunchApplications & Business(00:30:05) Anthropic CEO Dario Amodei calls OpenAI's messaging around military deal 'straight up lies,' report says | TechCrunch(00:41:56) No ethics at all': the 'cancel ChatGPT' trend is growing after OpenAI signs a deal with the US military | TechRadar(00:45:54) OpenAI raises $110B in one of the largest private funding rounds in history | TechCrunch(00:56:07) Alibaba scrambles after sudden departure of Qwen tech leadPolicy & Safety(01:00:12) Pentagon approves OpenAI safety red lines after dumping Anthropic + Where things stand with the Department of War Anthropic + Microsoft says Anthropic's products remain available to customers after Pentagon blacklist(01:09:11) A new lawsuit claims Gemini assisted in suicide | Semafor(01:15:24) Anthropic just mapped out which jobs AI could potentially replace. A 'Great Recession for white-collar workers' is absolutely possible | Fortune(01:21:54) We're correcting a mistake in our modeling that inflated recent 50%-time horizons by 10-20%See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

「NordVPN X M觀點」: https://nordvpn.com/miula 專屬優惠碼「miula」 透過專屬優惠連結購買兩年方案加贈4個月好禮，還有30天內退款保證，完全零風險！ --- EP284. OpenAI GPT-5.4、再談 Anthropic 爭議、Robotaxi 的擴張速度 | M觀點 --- (00:40) EP284 預告 (02:29) 業配時間： NordVPN (04:51) 閒聊時間：經典賽贏韓國 & 台股大跌 (17:28) 第一個話題：OpenAI GPT-5.4 (41:15) 第二個話題：再談 Anthropic 爭議 (01:11:34) 第三個話題：Robotaxi 的擴張速度 --- M觀點資訊 --- 科技巨頭解碼: https://bit.ly/3koflbU M觀點 Telegram - https://t.me/miulaviewpoint M觀點 IG - https://www.instagram.com/miulaviewpoint/ M觀點Podcast - https://bit.ly/34fV7so M報: https://bit.ly/345gBbA M觀點YouTube頻道訂閱 https://bit.ly/2nxHnp9 M觀點粉絲團 https://www.facebook.com/miulaperspective/ 任何合作邀約請洽 miula@outlook.com -- Hosting provided by SoundOn

The dominant structural shift identified centers on liability allocation and governance in the context of agentic AI deployment across IT and managed services. The episode underscores how automation is moving beyond content generation to direct operational and security actions, referencing technology from OpenAI (GPT-5.3 Instant), Anthropic (Claude Marketplace), Google Workspace CLI, Microsoft's SharePoint AI features, and Hexnode's Genie AI. Vendors are embedding AI deeper into productivity and endpoint infrastructure, increasing both operational efficiency and the risk footprint—making governance, reliability, and accountability the new competitive differentiators. The most consequential development highlighted is the industry-wide disconnect between rapid AI remediation adoption and lagging governance. According to Omdia, 88% of organizations are using AI-driven remediation, but only 44% have implemented it for most exposure types, and nearly half (49%) of security teams lack trust in these systems. IBM data shows that 63% of organizations lack formal AI incident response policies, meaning deployment often outpaces the development of auditability and risk management. This creates a landscape where automated decisions are taken at scale without clear accountability structures or incident protocols. Supporting developments reinforce these governance and risk concerns. Reports of cognitive fatigue—termed “AI brain fry”—affecting over 14% of users (Boston Consulting Group/UC Riverside) and a 39% increase in error rates among those affected, point to compounding human and system risk when automation outpaces oversight. Market analysis from Accenture, Wharton, and the Dallas Fed notes that AI has shifted skill demand, displaced younger tech workers, and pressured traditional fixed-fee business models. Meanwhile, vendors are migrating from predictable per-seat pricing to variable token-based consumption, passing operational uncertainty onto MSPs and their clients. For MSPs, IT service providers, and technology leaders, the practical implications are clear. Failure to implement explicit governance, contract clauses, and incident protocols exposes providers to unpredictable liability. Passing through ungoverned consumption costs under fixed-contracts damages margins as AI use expands. The increasing cognitive load on staff supervising partially trusted automation further compounds operational risk. As the pricing model shifts, providers must negotiate new contract terms, institute AI incident playbooks, audit tool autonomy, and manage the blast radius of AI with the same rigor as legacy security controls. 00:00 Platform Land Grab 03:56 Who Owns Failure 07:27 Skills Over Titles 09:52 Why Do We Care?  Supported by: JumpCloud  

У свіжому дайджесті DOU News обговорюємо появу нового українського deftech єдинорога — компанію UFORCE, та нові правила ППО для критичних підприємств. Розбираємо масштабний реліз від OpenAI: моделі GPT-5.3 Instant та GPT-5.4 Thinking. Також дивіться про приліт по дата-центру AWS, новинки від Apple та рахунок на $82 000 через вкрадений ключ Gemini. Таймкоди 00:00 Інтро 00:26 UFORCE — новий єдиноріг українського дефтеку 03:20 Власна ППО для критичних підприємств 04:34 Курс «AI Engineering» 05:34 Приліт в ОАЕ: дата-центр AWS призупинив роботу 08:45 Падіння Claude: як це вплинуло на розробників 10:44 Розіграш EcoFlow DELTA 3 Max та збори з KOLO 12:05 Google знижує комісію в Play Store до 20% 13:27 Новий інструмент Google для OpenClaw 15:48 Позов проти Google через поради Gemini 18:29 Новинки Apple: MacBook Neo та iPhone 17e 22:43 OpenAI випустила GPT-5.3 Instant 23:15 Реліз моделей GPT-5.4 Thinking та Pro 24:58 Маск програв суд щодо розкриття даних у Каліфорнії 29:14 Позов проти Meta через приватність розумних окулярів 31:09 Крадіжка API-ключа Gemini: рахунок на $82 000 33:30 Що рекомендує Женя: MOMENT // SWARM та BullshitBench Explorer

ChatGPT 的 GPT4o 模型雖然深受全球不少用戶愛戴，但由於其表現被指過於諂媚，加上與現實世界中多宗傷害個案有所牽連，最終引發了極大爭議。OpenAI 隨即宣佈，將於 2026 年 2 月 13 日正式將這款備受爭議的 ChatGPT4o AI 模型永久下架。面對心愛的 AI 模型即將消失，一眾忠實用戶究竟該如何面對這項殘酷的現實？華爾街日報原文：https://www.wsj.com/tech/ai/chatgpt-4o-openai-315138b8Patreon : https://www.patreon.com/posts/yi-zhou-ai-ke-ji-150845272

У свіжому дайджесті DOU News аналізуємо свіжий звіт про зарплати Data Science та обговорюємо мега-угоду Ілона Маска. Також у випуску: обов'язкова реєстрація Starlink в Україні через «Дію» та ЦНАПи, український стартап Swarmer іде на IPO, та анонс серіалу за мотивами Baldur's Gate 3 від творця «The Last of Us». Дивіться ці та інші новини українського та глобального тек-сектору. Таймкоди 00:00 Інтро 00:21 Зарплати дата-фахівців: у AI Engineer знижуються, у Product Analyst зростають 04:32 Обов'язкова верифікація Starlink 09:13 Український дефтек-стартап Swarmer готується до IPO 11:02 Столи з електрорегулюванням висоти, зручні крісла та аксесуари STIYSTIL 12:15 ПДВ для ФОПів: мінімальний поріг на дохід можуть підняти 13:18 Збір DOU та KOLO для НГУ 14:33 SpaceX купує xAI за $1,25 трлн 17:46 Злам Notepad++: як хакери підмінили систему оновлень популярного редактора 19:31 OpenClaw та «жахи» безпеки: чому ШІ-скіли можуть вкрасти ваші дані 23:42 ЄС проти TikTok: алгоритми нескінченної стрічки визнали незаконними 26:16 Рекордний продаж домену AI.com за $70 млн 27:58 Битва на Super Bowl: OpenAI Codex проти Anthropic Claude 30:14 Релізи тижня: Claude Opus 4.6 та OpenAI GPT-5.3-Codex 34:06 Xcode 26.3: Apple додає підтримку «vibe coding» 35:53 Valve відкладає Steam Machine через дефіцит пам'яті 37:23 HBO анонсувала серіал Baldur's Gate 3 38:44 Що рекомендує Женя: AI 2027 та відео «I shipped code I don't understand»

Welcome back to another episode of Upside where Dan Bowyer, Mads Jensen of SuperSeed and Lomax Ward of Outsized Ventures go behind the headlines shaping European tech, capital, and power.This week is a high-velocity sprint through the AI model wars, hyperscaler capex, and the growing sense that SaaS is about to be structurally repriced by agents. Anthropic and OpenAI go toe-to-toe with flagship model releases just 20 minutes apart, while China quietly ships open models that are starting to look dangerously close to frontier performance at a fraction of the cost.The panel also digs into the so-called SaaSpocalypse, the early signs of a European “uncoupling” from US big tech, and why Spain's crackdown on social media is being reframed as a public health issue rather than a free speech fight.And then there's Muskanomics: the $1.5T SpaceX/xAI logic, the data-centers-in-space narrative, and whether any of it survives contact with physics.What's covered:02:10 AI model arms race: Anthropic Opus 4.6 vs OpenAI GPT 5.3 (20 minutes apart)10:45 China's open-source push: Kimi K 2.5, Qwen3 Max, and swarm capabilities14:05 Alphabet's $180B capex signal and Wall Street's “infraspend” panic22:35 SaaSpocalypse: $300B wiped off software and the seat-based SaaS collapse narrative30:05 US–EU uncoupling: France bans Zoom/Teams, Germany moves off Microsoft, sovereignty vibes36:35 Spain's social crackdown: CEO liability, under-16 bans, and the censorship slippery slope43:30 Muskanomics: xAI + SpaceX, “data centers in space,” and why it feels like PR on steroids56:30 Anthropic Super Bowl ads vs OpenAI: brand war and the ad-monetization fault line59:25 Critical minerals: EU set to miss 2030 targets and China's grip on rare earths1:02:20 Deal of the week + Europe unicorn shout-outs + the new €1B growth fund

一週 AI 科技消息： (08/02/2026)001:  OpenAI 推出 GPT 5.3 Codex：唔止寫 Code 咁簡單？002: Anthropic 推出 Claude Opus 4.6：1M Token 上下文過目不忘，仲有埋代理團隊！003: Samsung Galaxy S26 私隱防護：唔驚隔離位偷睇，搭地鐵睇 Message 都放心晒004: Galaxy S26 相機功能大曝光005: 一秒生圖唔係夢？Galaxy S26 引入由 Nota AI 開發嘅 EdgeFusion 技術006: AI 搶走啲 RAM？Qualcomm 警告記憶體加價，手機業可能要勒緊褲頭007: 美國 Open Source 尊嚴保衛戰？Arcee AI 融資硬撼中國模型 DeepSeek008: Uber 香港引入 Robotaxi：拍住百度蘿蔔快跑技術，無人駕駛的士殺到嚟！

Anthropic drops Opus 4.6. Twenty minutes later, OpenAI fires back with GPT-5.3 Codex. This is the AI agentic coding arms race and it's moving fast. Both AI models are writing code that can write itself now. OpenAI is using 5.3 to improve its own tooling. Opus 4.6 is "voicing discomfort with being a product." We tested both and break down what actually matters for people building stuff.  Plus Kling 3.0 is out (and harder to prompt than you think), OpenClaw bots are hiring humans on rent-a-human.ai, Roblox launches prompt-to-3D creation, and robots are now doing 130K step challenges in negative 47 degree weather. THE MODELS ARE IMPROVING THEMSELVES NOW. EVERYTHING IS FINE. Come to our Discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/ // Show Links // Anthropic's Claude Opus 4.6 https://www.anthropic.com/news/claude-opus-4-6 Orchestrating Agents in Claude Code https://x.com/lydiahallie/status/2019469032844587505?s=20 Opus 4.6 Beats Humans at analyzing complex human science docs https://x.com/_simonsmith/status/2019502742209769540?s=20 OpenAI GPT-5.3 Codex https://openai.com/index/introducing-gpt-5-3-codex/ 5.3 Codex First model instrumental in creating itself https://x.com/deredleritt3r/status/2019475360438493597 OpenAI Frontier https://openai.com/index/introducing-openai-frontier/ Anthropic's Superbowl Ads https://x.com/tomwarren/status/2019039874771550516?s=20 GPT-5 connected to an autonomous lab to do experiments https://x.com/OpenAI/status/2019488071134347605?s=20 OpenClaw https://openclaw.ai/ Rent-A-Human https://rentahuman.ai/bounties Kling 3.0 = Really good model https://x.com/Kling_ai/status/2019064918960668819?s=20 Kling 3.0 Moonlanding Mockumentary https://x.com/Kling_ai/status/2019228615775604784?s=20 PJ Ace's Way of Kings Intro https://x.com/PJaccetturo/status/2019072637192843463?s=20  We Are The Art | Brandon Sanderson's Keynote Speech https://youtu.be/mb3uK-_QkOo?si=EgKBjxZf4GE4DYIJ Gavin's Kling Fail https://x.com/gavinpurcell/status/2019436331999588371?s=20 FIGMA VECTOR AI https://x.com/moguzbulbul/status/2019106665732403708?s=20 Grok Imagine 1.0 Officially Launches https://x.com/xai/status/2018164753810764061?s=20 Roblox Launches 4D Creation https://x.com/Roblox/status/2019221624604750238 Unitree Robot Walks Across The Tundra (-47C!!) https://x.com/War_Radar2/status/2018315065414635813?s=20 KinectIQ's Humanoid Framework https://youtu.be/Y2DhzLPGdwY?si=iWibCGoc_h53yZz3 The LooksMaxxor https://x.com/Gossip_Goblin/status/2018362969025884282?s=20 Midi-Survivor https://x.com/measure_plan/status/2019082789379858577?s=20

The games begin early in the AI space. In this emergency episode of Mixture of Experts, guest host Aili McConnon is joined by Chris Hay and Mihai Criveti to break down yesterday's back-to-back bombshells: Anthropic's Claude Opus 4.6 and OpenAI's GPT-5.3-Codex, released within an hour of each other. Our experts dissect both models. Which one actually performs better for coding tasks? Then, we unpack what these releases reveal about the intensifying battle for enterprise AI. Finally, Chris and Mihai share their real-world workflows—why use one model when you can leverage both? Plus, we discuss the vibe shift: multi-agent workflows aren't coming; they're already here. 00:00 – Introduction 00:14 – Claude Opus 4.6 and GPT-5.3-Codex releases 02:49 – Model comparison 06:00 – Battle for enterprise AI 10:03– Multi-agent workflows The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. Read more about the Anthropic vs OpenAI showdown → https://ibm.biz/BdpEkv Visit Mixture of Experts podcast page to get more AI content → https://www.ibm.com/think/podcasts/mixture-of-experts #ClaudeOpus4.6, #GPT-5.3-Codex #EnterpriseAI, #AIAgents, #DeveloperTools

上一期没聊完的本期继续，量大管饱。因为AI新闻出得太快我们都想改变“科技快乐星球”这个系列的节奏了。

Weird week in AI.

У свіжому дайджесті DOU News говоримо про цифрових офіцерів у ЗСУ та оновлення у «Резерв+», а також судові позови українців проти Intel і AMD. А ще — про Claude Code у Slack, запуск GPT-5.2, угоду Disney з OpenAI та інші теми українського ІТ та світового тек-сектору. 00:00 Інтро 00:24 У ЗСУ з'явиться понад 7 тисяч цифрових офіцерів 01:42 Електронний документ у «Резерв+» стане основним для військовозобов'язаних 03:07 Курс «Engineering Manager» 04:03 Українці подали позови проти Intel та AMD у США 05:55 На війні загинув айтівець StartupSoft Володимир Сапужак 06:34 Пройдіть зарплатне опитування DOU 07:25 Clair Obscur: Expedition 33 тріумфує на ігрових преміях 10:21 Claude Code з'явиться у Slack 13:53 Disney уклала угоду з OpenAI щодо Sora 16:41 OpenAI запустила GPT-5.2 19:23 Adult Mode для ChatGPT запланований на 2026 рік 21:20 ChatGPT — найпопулярніший застосунок Apple у 2025 році 22:37 Повільний темп Apple у ШІ став її перевагою 24:27 У США заборонили шрифт Calibri в держструктурах 26:22 Valve заборонила рекламу гемблінгу на своїх турнірах 27:53 Що цього тижня рекомендує Женя: Patterns.dev та топ-5 ігор — Expedition 33, KCD II, Split Fiction, Hades II, Death Stranding 2

In this episode of Hashtag Trending, host Jim Love covers the latest in AI technology and innovation. OpenAI quietly launched GPT-5.2, focusing on real-world work performance and introducing a new evaluation method, GDPVal. This model significantly outperforms its predecessors and competitors. Meanwhile, Google is enhancing its AI capabilities, embedding AI into creative tools, hardware, and a potentially new operating system, Aluminum. Disney has signed an agreement with OpenAI to use its animated characters for fan-generated content and made a significant investment in the company. Additionally, a Canadian company set a world record in fusion energy, showcasing advancements in the field. The episode concludes with thanks to Meter for their support. Hashtag Trending would like to thank Meter for their support in bringing you this podcast. Meter delivers a complete networking stack, wired, wireless and cellular in one integrated solution that's built for performance and scale. You can find them at Meter.com/htt 00:00 Introduction and Sponsor Message 00:21 OpenAI Launches ChatGPT 5.2 04:21 Google's Gemini Updates 06:59 Disney's Multi-Year Agreement with OpenAI 08:54 Canadian Fusion Energy Breakthrough 09:58 Conclusion and Sponsor Message

OpenAI GPT-5.2 is here! The new model shows improvements, but the bigger news might be the deal Sam Altman made with Disney to bring characters to Sora. We dive into the implications for AI & Hollywood, plus Google's Deep Research & Android XR, Runway Gen-4.5, Gemini 2.5, & WAY more AI News. HARSH, THE GUARDRAILS WILL BE. FUN, YOU MIGHT STILL HAVE. Get notified when AndThen launches: https://andthen.chat/ Come to our Discord to try our Secret Project: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow To book us for speaking, please visit our website: https://www.aiforhumans.show/   // Show Links // OpenAI's GPT-5.2 https://openai.com/index/introducing-gpt-5-2/ Disney OpenAI Deal For Sora & Investment https://openai.com/index/disney-sora-agreement/ https://www.wsj.com/business/media/disney-to-invest-1-billion-in-openai-license-characters-for-use-in-chatgpt-sora-3a4916e2?st=y8EdTr&reflink=article_copyURL_share Bob Iger Talks Deal on CNBC https://x.com/MorePerfectUS/status/1999162796966051953?s=20 Cease & Desist letter sent to Google day before this deal https://www.wsj.com/business/media/disney-to-invest-1-billion-in-openai-license-characters-for-use-in-chatgpt-sora-3a4916e2?st=d74Bcx&reflink=desktopwebshare_permalink Google's New AR XREAL Android Glasses (Demo starts at 12:19) https://www.youtube.com/live/a9xPC_FoaG0?si=7X4wC-x3lTu18WYk&t=739 Google Deep Research Agent (in API) https://blog.google/technology/developers/deep-research-agent-gemini-api New Updates To Google Gemini 2.5 Flash Audio https://x.com/googleaidevs/status/1998874506912538787?s=20 Runway 4.5 Launches + Lots Of New Stuff https://www.youtube.com/live/OnXu-6xecxM?si=YIzZO5egj4m_SJgV Gavin's First Runway 4.5 Output https://x.com/gavinpurcell/status/1999171408979509322?s=20 Design Within Cursor Now https://x.com/cursor_ai/status/1999147953609736464?s=20 Glif's Agent Getting Really Good https://x.com/heyglif/status/1998493507615600696?s=20 Gavin's 'fashion' shoot with GLIF Agent https://x.com/gavinpurcell/status/1998560308873527454?s=20 McDonald's Pulls AI Ad After Getting Dragged Across The Coals https://futurism.com/artificial-intelligence/mcdonalds-ai-generated-commercial Video of the T-800 From Last Week Kicking Their CEO https://x.com/CyberRobooo/status/1997290129506148654?s=20 Nano Banana Pro Five Minutes Earlier / One Hour Later / Ten Hours Later Prompt https://x.com/gizakdag/status/1998501408098668983?s=20 Making Crowds In of Famous Images https://www.reddit.com/r/aiArt/comments/1pifspt/crowded/ Duck Season / Rabbit Season By lkcampbell in our Discord https://sora.chatgpt.com/p/s_6936b1cadd008191b1042ff7f0bb913f  

Send us a textInvest in pre-IPO stocks with AG Dillon & Co. Contact aaron.dillon@agdillon.com to learn more. Financial advisors only. www.agdillon.com00:00 - Intro00:06 - SpaceX Tender Offer & IPO Plans00:43 - SpaceX Revenue Outlook01:54 - Airwallex $330M Raise02:54 - Disney $1B OpenAI Investment03:53 - OpenAI Enterprise Adoption Surge04:54 - OpenAI GPT-5.2 Launch05:54 - OpenAI Hires Slack CEO as CRO06:28 - Meta Acquires Limitless07:50 - Harvey $160M Round08:44 - Cohere Enterprise Momentum09:38 - Overtone AI Dating Launch10:29 - Boom Supersonic Turbine Pivot11:38 - Revolut Employee Buyback12:42 - 1X Technologies EQT Deal13:42 - Port $100M Series C14:42 - Harness $240M Series E15:50 - Anthropic $21B Broadcom Orders16:48 - World Updates App with New Features

Das Time Magazine kürt die "Architects of AI" zur Person of the Year 2025. OpenAI kontert Googles Gemini-Erfolg mit GPT 5.2 und übertrifft in vielen Benchmarks wieder die Konkurrenz. Disney investiert eine Milliarde Dollar in OpenAI und bringt 200 Charaktere auf Sora. OpenAI holt sich eine Salesforce-Veteranin als Chief Revenue Officer. SpaceX peilt beim IPO jetzt 1,5 Billionen Dollar an. Meta gibt Open Source auf und baut ein geschlossenes Modell namens "Avocado". DeepSeek nutzt trotz Sanktionen Nvidia Blackwell Chips. Das Pentagon stattet Mitarbeiter mit Google Gemini aus. Die USA fordern bei Einreise künftig fünf Jahre Social Media History. Berliner Zahnärzte verzocken eine Milliarde Euro Rentengelder in Venture Deals. Palantir-Gründer fordert öffentliches Erhängen von Straftätern. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) Intro (00:01:23) Time Person of the Year: The Architects of AI (00:09:34) OpenAI GPT 5.2: Neues Flagship-Modell schlägt Benchmarks (00:15:58) OpenAI wird zum Attention-Grabber wie Social Media (00:20:00) OpenAI holt Slack-CEO als Chief Revenue Officer (00:23:19) Disney investiert $1 Mrd. in OpenAI für Sora-Charaktere (00:32:21) OpenAI plant Adult Content für 2026 (00:38:23) SpaceX IPO: Bewertung jetzt bei $1,5 Billionen (00:41:31) Margin Debt verdoppelt: Bubble-Indikator? (00:48:11) Pentagon nutzt Google Gemini (genai.mil) (00:55:04) Venture Capital Fundraising kollabiert auf $60 Mrd. (00:56:04) Meta gibt Open Source auf: Neues Modell "Avocado" (00:56:55) DeepSeek nutzt Nvidia Blackwell Chips trotz Sanktionen (00:58:30) Oracle Earnings (01:02:04) USA fordern 5 Jahre Social Media History bei Einreise (01:05:39) Berliner Zahnärzte verzocken 1 Mrd. Euro Rentengelder (01:08:56) Palantir Gründer fordert Erhängen (01:14:36) El Salvador kauft Grok für Schulbildung (01:15:30) KI-Hacker besser als 9 von 10 Menschen (01:17:00) Russische Schiffe und Drohnen über Deutschland Shownotes KI-Architekten: Personen des Jahres 2025 - time.com GPT5.2- wired Einführung von GPT-5.2 - openai.com Denise Dresser: Von Slack-CEO zur Chief Revenue Officer bei OpenAI - wired.com Disney und Sora einigen sich - openai.com Disney Google - variety ChatGPTs Erwachsenenmodus kommt 2026 - gizmodo.com SpaceX plant Börsengang 2026 mit über 30 Milliarden Dollar Bewertung - bloomberg.com Zeitpunkt der platzenden Aktienmarktblase bestimmen - linkedin.com Pentagon wählt Google AI-Plattform für Millionen von Mitarbeitern - bloomberg.com Pip Tweet VC- x.com Metas Wandel: Vom Open-Source-Projekt zum profitablen KI-Modell - bloomberg.com DeepSeek verwendet verbotene Nvidia-Chips für nächstes Modell. - theinformation.com Oracle Q2-Gewinnbericht 2026 - wsj.com Grenzkontrollen: Einfluss von Social Media auf Touristenvisa - nytimes.com Zahnärzte - tagesspiegel US Marine enthüllt "ShipOS" mit Palantir zur Beschleunigung des Schiffbaus - axios.com Joe Lonsdale von Palantir äußert sich zu öffentlichen Hinrichtungen - independent.co.uk Elon Musk: Grok-Initiative in El Salvador - theguardian.com KI-Hacker kommen gefährlich nah daran, Menschen zu übertreffen - wsj.com Iron Man - instagram.com Drohnen - digitaldigging.org Google Deepmind - ft.com

Gemini Pro 3 and Nano Banana Pro push Google into the lead in the race for AGI. Meanwhile, OpenAI isn't far behind with GPT-5.1 Pro & Codex Max. The AI news is relentless! Nano Banana Pro's ability to make infographics and edit images is nearly unprecedented and, combined with Gemini 3's analytical abilities, makes us feel all tingly inside. Web design, vibe coded games, there is so much cool stuff to get into. Plus, OpenAI's updates GPT-5.1 and a cool new tool from Meta called Segment Anything 3. And, of course, who could forget the cutest lil robots. No terminators today folks! TIME TO NANO BANANA OURSELVES INTO OBLIVION. WAIT, THAT SOUNDED BAD. Come to our Discord: https://discord.gg/muD2TYgC8f Join our Patreon: https://www.patreon.com/AIForHumansShow AI For Humans Newsletter: https://aiforhumans.beehiiv.com/ Follow us for more on X @AIForHumansShow Join our TikTok @aiforhumansshow Show Links Google Nano Banana Pro https://blog.google/technology/ai/nano-banana-pro/ Gavin's Futurama-style Image https://x.com/gavinpurcell/status/1991525928049230170?s=20 14 Inputs on Nano Banana Pro Image https://x.com/nickfloats/status/1991531506397741156 Sims Expansion Packs https://x.com/sinanhelv/status/1991530277974253871 Rowan Atkinson (Mr. Bean) in Total Recall https://x.com/TomLikesRobots/status/1991548219428663586 Gemini 3 Pro https://youtu.be/98DcoXwGX6I?si=Fwd83wo5vRHPb78d https://blog.google/products/gemini/gemini-3/#note-from-ceo Demis Hassabis Talks About Trajectory on Hard Fork https://x.com/slow_developer/status/1990998467611705344?s=20 Crazy Gemini 3 Pro benchmarks https://x.com/OfficialLoganK/status/1990813077172822143?s=20 Google AntiGravity  https://x.com/antigravity/status/1990813606217236828?s=20 3js interactive webdesign https://x.com/EHuanglu/status/1990967259775570262?s=20 Huge improvements on DesignArena benchmark: https://x.com/grx_xce/status/1990815340893245481?s=20 Replit's new tool for webdesign powered by Gemini 3.0 https://x.com/amasad/status/1990859423942893816?s=20 Gavin's quick website test https://gemini.google.com/share/a1e8d50a3d69 Bouncing Ball Test https://x.com/OfficialLoganK/status/1990819310072443340?s=20 Voxel Art https://x.com/goodfellow_ian/status/1990839056331337797?s=20 Demis Recreates ThemePark https://x.com/demishassabis/status/1990818894177513831?s=20 Playables on YouTube:  https://x.com/GoogleDeepMind/status/1991192012691808472?s=20 Updating My Bear Jump Game https://x.com/gavinpurcell/status/1990832098131763340?s=20 OpenAI: GPT-5.1 Codex MAX https://x.com/polynoamial/status/1991212955250327768?s=20 https://openai.com/index/gpt-5-1-codex-max/ GPT 5.1 Pro https://x.com/OpenAI/status/1991266192905179613?s=20 Matt Shumer GPT-5.1 Pro Review https://x.com/mattshumer_/status/1991263717820948651?s=20 Meta Segment Anything 3 Playground  https://aidemos.meta.com/segment-anything Sunday Robotic's Memo Robot https://www.sunday.ai/ Gemini 3 Pro 3D Lego Editor https://x.com/skirano/status/1990813093727789486?s=20 Realistic Water Test From MattVideoPro https://x.com/MattVidPro/status/1990880204760252834?s=20 Power Plant Recreation https://x.com/sebkrier/status/1990814567820058641?s=20 Sourcey: Open Source Robot https://x.com/sourccey/status/1990903761187828199  

The latest In Touch With iOS with Dave he is joined by Jill McKinley, Chuck Joiner, Jeff Gamet, Eric Bolden, Marty Jencius.In Episode 396, the panel covers a packed week of Apple updates including VisionOS 26.2 beta 3, iOS/iPadOS 26.2 features, and AirPods Pro firmware changes. Jill and Eric share their joint Vision Pro demo adventure, the team debates macOS Tahoe instability and Apple's controversial liquid-glass icon redesign, everyone weighs in latest AI news from OpenAI (GPT-5.1) Google Gemini 3. We explore digital driver's licenses arriving in Illinois, MLB's new broadcast deals with ESPN & Netflix, and a surprising new cross-platform file-sharing capability between iPhone and Android. The show notes are at InTouchwithiOS.com  Direct Link to Audio  Links to our Show Give us a review on Apple Podcasts! CLICK HERE we would really appreciate it! Click this link Buy me a Coffee to support the show we would really appreciate it. intouchwithios.com/coffee  Another way to support the show is to become a Patreon member patreon.com/intouchwithios Website: In Touch With iOS YouTube Channel In Touch with iOS Magazine on Flipboard Facebook Page BlueSky Mastodon X Instagram Threads Summary This week's episode dives into an unusually busy stretch across Apple hardware, software, AI, and ecosystem services. The show opens with Vision Pro news as visionOS 26.2 beta 3 arrives days after the other platform betas. Marty reports improvements like developer cable speed fixes and faster 2D-to-3D photo conversion. Jill and Eric recount their in-person meetup where Jill experienced a fully guided Vision Pro demo — including immersive video, spatial room exploration, and plenty of curious stares from coffee-shop onlookers wondering why Jill was "peering into invisible walls." The group then turns to iOS/iPadOS 26.2, covering new AirDrop temporary-share capabilities, privacy notice updates, hypertension notification APIs, new Japanese voice-assistant options, improvements to Liquid Glass UI effects, and multitasking enhancements like the return of Slide Over on iPad. AirPods Pro 3 beta firmware triggers a discussion on instability, unwanted auto-switching, and how firmware installs appear to now proactively ask users whether they want to participate. The episode shifts to macOS Tahoe 26.2, where Jeff vents about daily crashes, memory leaks, and wake-from-sleep failures — while others report fewer issues, sparking a possible exploration of third-party apps as the culprit. The panel also critiques Apple's polarizing icon redesign in Tahoe, agreeing that many icons look bland, boxed-in, and violate Apple's own historical Human Interface Guidelines. A major section of the show covers AI developments: • OpenAI GPT-5.1 — faster, more conversational, new tone presets (professional, candid, quirky), and "thinking mode" for deeper answers. • Google Gemini 3 Pro — improved multimodal reasoning, search integrations, and cloud-based inference. Jeff notes concerns about AI systems becoming overly anthropomorphic, while Jill admits she set her GPT tone to "nerdy" and likes it. Next, Apple's rollout of driver's licenses in Wallet hits Illinois, making it one of the largest states to adopt the feature. Dave describes server delays on launch day, and the panel discusses TSA compatibility, app differences between states, privacy details displayed, and state-by-state rollout inconsistencies. Sports streaming news surfaces as MLB renews contracts with ESPN, Netflix, and NBCUniversal, while also confirming Friday Night Baseball stays on Apple TV through 2028. The group reflects on the chaos of watching live sports across too many services and whether future licensing will simplify or worsen the landscape. The episode closes with Google's surprising announcement that iPhone ↔ Android file transfers via AirDrop/Quick Share are now possible on Pixel 10 devices. The panel predicts Apple will likely break this "for security reasons," especially considering regulatory scrutiny in the EU. Topics and Links

У свіжому дайджесті DOU News обговорюємо викрадення даних співробітників GlobalLogic, свіжий GPT-5.1 від OpenAI та новий VR-шолом і міні-ПК від Valve. А ще — неймовірний раунд фінансування для Cursor, дивний в'язаний чохол для iPhone та інші теми українського ІТ та світового тек-сектору. Таймкоди 00:00 Інтро 00:23 Дані 10 тисяч співробітників GlobalLogic викрали хакери 02:32 EPAM обмежить бенефіти для ФОПів 04:28 United Tech створює майбутнє сошуал нетворкінгу і стрімінгу 05:13 Google запускає перевірку Android-розробників але дозволить «досвідченим користувачам» завантажувати неперевірені програми 08:38 OpenAI представила GPT-5.1 — теплішу й «людянішу» модель 13:50 Valve анонсувала серію Steam Hardware: VR-шолом і міні-ПК 20:03 Стартап Cursor залучив $2,3 млрд інвестицій 22:38 Apple і Issey Miyake створили в'язаний чохол для iPhone 24:04 Apple відклала реліз iPhone Air 2 24:59 Blue Origin повернула ракету New Glenn після польоту 28:28 Chad: The Brainrot IDE — новий продукт від Y Combinator 32:00 Пісня, створена ШІ, очолила кантрі-чарт 33:00 Для українців тимчасово відкрили безплатний доступ до профкурсів 34:32 Що цього тижня рекомендує Женя: Space DJ та статтю про роботу в Cursor

Go behind the curtain at OpenAI as bestselling author Karen Hao shares stories of infighting, ego, and shifting agendas. Find out why even OpenAI's security had her face on alert during her investigation. Karen Hao reveals OpenAI's secretive culture and early ambitions OpenAI's shifting leadership and transparency: from nonprofit roots to Big Tech power Defining AGI: moving goalposts, internal rifts, and philosophy debates OpenAI's founders dissected: Altman, Brockman, and Sutskever's styles and motives Critiquing the AI industry's resource grabs and "AI imperialism" How commercialization narrowed AI research and the dominance of transformers China's AI threat as Silicon Valley's favorite justification, debunked Karen Hao details reporting process and boardroom chaos at OpenAI GPT-5 skepticism: raised expectations, lackluster reality, and demo fatigue Karen Hao's bottom line: AI's current trajectory isn't inevitable — pushback is needed Harper Reed shares vibe coding workflows using Claude Code
 AI commoditization—why all major models start to feel the same
 Western vs. Chinese open-source models and global AI power shifts
 Google antitrust ruling: AI's rise dissolves traditional search monopoly "Algorithm movies" spark debate over art, entertainment, and AI's creative impact
 Meta's AI talent grab backfires amid exits and cash-fueled drama Anthropic's "historic" author settlement likely cements fair use for AI training
 DIY facial recognition: Citizen activists unmask ICE using AI tools
 Picks: Byte Magazine's 50th, AI werewolf games, Berghain bouncer AI test, and arthouse film "Perfect Days" Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Co-Host: Harper Reed Guest: Karen Hao Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit monarchmoney.com with code IM helixsleep.com/twit pantheon.io

Go behind the curtain at OpenAI as bestselling author Karen Hao shares stories of infighting, ego, and shifting agendas. Find out why even OpenAI's security had her face on alert during her investigation. Karen Hao reveals OpenAI's secretive culture and early ambitions OpenAI's shifting leadership and transparency: from nonprofit roots to Big Tech power Defining AGI: moving goalposts, internal rifts, and philosophy debates OpenAI's founders dissected: Altman, Brockman, and Sutskever's styles and motives Critiquing the AI industry's resource grabs and "AI imperialism" How commercialization narrowed AI research and the dominance of transformers China's AI threat as Silicon Valley's favorite justification, debunked Karen Hao details reporting process and boardroom chaos at OpenAI GPT-5 skepticism: raised expectations, lackluster reality, and demo fatigue Karen Hao's bottom line: AI's current trajectory isn't inevitable — pushback is needed Harper Reed shares vibe coding workflows using Claude Code
 AI commoditization—why all major models start to feel the same
 Western vs. Chinese open-source models and global AI power shifts
 Google antitrust ruling: AI's rise dissolves traditional search monopoly "Algorithm movies" spark debate over art, entertainment, and AI's creative impact
 Meta's AI talent grab backfires amid exits and cash-fueled drama Anthropic's "historic" author settlement likely cements fair use for AI training
 DIY facial recognition: Citizen activists unmask ICE using AI tools
 Picks: Byte Magazine's 50th, AI werewolf games, Berghain bouncer AI test, and arthouse film "Perfect Days" Get "Empire of AI" (Amazon Affiliate): https://amzn.to/4lRra9h Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Co-Host: Harper Reed Guest: Karen Hao Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit monarchmoney.com with code IM helixsleep.com/twit pantheon.io

Go behind the curtain at OpenAI as bestselling author Karen Hao shares stories of infighting, ego, and shifting agendas. Find out why even OpenAI's security had her face on alert during her investigation. Karen Hao reveals OpenAI's secretive culture and early ambitions OpenAI's shifting leadership and transparency: from nonprofit roots to Big Tech power Defining AGI: moving goalposts, internal rifts, and philosophy debates OpenAI's founders dissected: Altman, Brockman, and Sutskever's styles and motives Critiquing the AI industry's resource grabs and "AI imperialism" How commercialization narrowed AI research and the dominance of transformers China's AI threat as Silicon Valley's favorite justification, debunked Karen Hao details reporting process and boardroom chaos at OpenAI GPT-5 skepticism: raised expectations, lackluster reality, and demo fatigue Karen Hao's bottom line: AI's current trajectory isn't inevitable — pushback is needed Harper Reed shares vibe coding workflows using Claude Code
 AI commoditization—why all major models start to feel the same
 Western vs. Chinese open-source models and global AI power shifts
 Google antitrust ruling: AI's rise dissolves traditional search monopoly "Algorithm movies" spark debate over art, entertainment, and AI's creative impact
 Meta's AI talent grab backfires amid exits and cash-fueled drama Anthropic's "historic" author settlement likely cements fair use for AI training
 DIY facial recognition: Citizen activists unmask ICE using AI tools
 Picks: Byte Magazine's 50th, AI werewolf games, Berghain bouncer AI test, and arthouse film "Perfect Days" Get "Empire of AI" (Amazon Affiliate): https://amzn.to/4lRra9h Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Co-Host: Harper Reed Guest: Karen Hao Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit monarchmoney.com with code IM helixsleep.com/twit pantheon.io

Go behind the curtain at OpenAI as bestselling author Karen Hao shares stories of infighting, ego, and shifting agendas. Find out why even OpenAI's security had her face on alert during her investigation. Karen Hao reveals OpenAI's secretive culture and early ambitions OpenAI's shifting leadership and transparency: from nonprofit roots to Big Tech power Defining AGI: moving goalposts, internal rifts, and philosophy debates OpenAI's founders dissected: Altman, Brockman, and Sutskever's styles and motives Critiquing the AI industry's resource grabs and "AI imperialism" How commercialization narrowed AI research and the dominance of transformers China's AI threat as Silicon Valley's favorite justification, debunked Karen Hao details reporting process and boardroom chaos at OpenAI GPT-5 skepticism: raised expectations, lackluster reality, and demo fatigue Karen Hao's bottom line: AI's current trajectory isn't inevitable — pushback is needed Harper Reed shares vibe coding workflows using Claude Code
 AI commoditization—why all major models start to feel the same
 Western vs. Chinese open-source models and global AI power shifts
 Google antitrust ruling: AI's rise dissolves traditional search monopoly "Algorithm movies" spark debate over art, entertainment, and AI's creative impact
 Meta's AI talent grab backfires amid exits and cash-fueled drama Anthropic's "historic" author settlement likely cements fair use for AI training
 DIY facial recognition: Citizen activists unmask ICE using AI tools
 Picks: Byte Magazine's 50th, AI werewolf games, Berghain bouncer AI test, and arthouse film "Perfect Days" Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Co-Host: Harper Reed Guest: Karen Hao Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free shows, a members-only Discord, and behind-the-scenes access. Join today: https://twit.tv/clubtwit Sponsors: threatlocker.com/twit monarchmoney.com with code IM helixsleep.com/twit pantheon.io

Nano Banana is no longer a mystery.Google officially released Gemini 2.5 Flash Image on Tuesday (AKA Nano Banana), revealing it was the company behind the buzzy AI image model that had the internet talking. But... what does it actually do? And how can you put it to work for you? Find out in our newish weekly segment, AI at Work on Wednesdays.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:Gemini 2.5 Flash Image (Nano Banana) RevealBenchmark Scores: Gemini 2.5 Flash Image vs. CompetitionMultimodal Model Capabilities ExplainedCharacter Consistency in AI Image GenerationAdvanced Image Editing: Removal and Object ControlIntegration with Google AI Studio and APIReal-World Business Use Cases for Gemini 2.5Live Demos: Headshots, Mockups, and InfographicsGemini 2.5 Flash Image Pricing and LimitsIterative Prompting for AI Image CreationTimestamps:00:00 "AI Highlights: Google's Gemini 2.5"06:17 "Nano Banana AI Features"09:58 "Revolutionizing Photo Editing Tools"12:31 "Nano Banana: Effortless Video Updating"14:39 "Impressions on Nano Banana"19:24 AI Growth Strategies Unlocked20:58 Turning Selfie into Professional Headshot24:48 AI-Enhanced Headshots and Team Photos29:51 "3D AI Logo Mockups"32:22 Improved Logo Design Review35:41 Photoshop Shortcut Critique38:50 Deconstructive Design with Logos44:01 "Transform Diagrams Into Presentations"46:12 "Refining AI for Jaw-Dropping Results"Keywords:Gemini 2.5, Gemini 2.5 Flash Image, Nano Banana, Google AI, Google DeepMind, AI image generation, multimodal model, AI photo editing, image manipulation, text-to-image model, image editing AI, large language model, character consistency, AI headshot generator, real estate image editing, product mockup generator, smart image blending, style transfer AI, Google AI Studio, LM Arena, Elo score, AI watermarks, synthID fingerprint, Photoshop alternative, AI-powered design, generative AI, API integration, Adobe integration, AI for business, visual content creation, creative AI tools, professional image editing, iterative prompting, interior design AI, infographic generator, training material visuals, A/B test variations, marketing asset creation, production scaling, image benchmark, AI output watermark, cost-effective AI images, scalable AI infrastructure, prompt-based editing, natural language image editing, OpenAI GPT-4o image, benchmarking leader, visSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

OpenAI 發表了 GPT-5，距離上一代 GPT-4 已經超過兩年，但這次的主角，其實是個「備胎」。原本的旗艦模型 Orion 沒練起來，OpenAI 乾脆改走「混搭流」：把幾個模型組在一起，配上一個會神預測的自動選模型 Router，讓 GPT-5 不只更聰明、更省錢，連免費用戶都能用。它是有史以來 OpenAI 寫程式最強的模型，能讀懂大型 repo、解 GitHub issue，寫作更懂語氣和節奏，幻覺比 GPT-4 少了 45%。但背後，也是一段旗艦模型失敗、備胎逆襲的故事。這集我們就來聊聊：

Apple's record Q3 earnings and commitment to invest heavily in AI, upcoming launch of OpenAI GPT-5, Ghost 6.0 launches with fediverse support, and we roast each other's iPhone Home Screens!Bonus Episode: Stephen's secret project, Tim Cook's 24K gold gift to Trump. Listen here!------------------------------Sponsored by:1Password: 1Password Extended Access Management is the first security solution that brings all those unmanaged devices, apps, and identities under your control. Learn more at: 1password.com/primarytech------------------------------Show Notes via EmailSign up to get exactly one email per week from the Primary Tech guys with the full episode show notes for your perusal. Click here to subscribe.------------------------------Watch on YouTube!Subscribe and watch our weekly episodes plus bonus clips at: youtube.com/@primarytechshow------------------------------Join the CommunityDiscuss new episodes, start your own conversation, and join the Primary Tech community here: social.primarytech.fm------------------------------Support the showGet ad-free versions of the show plus exclusive bonus episodes every week! Subscribe directly in Apple Podcasts or here if you want chapters: primarytech.memberful.com/join------------------------------Reach out:Stephen's YouTube Channel@stephenrobles on ThreadsStephen on BlueskyStephen on Mastodon@stephenrobles on XJason's Inc.com Articles@jasonaten on Threads@JasonAten on XJason on BlueskyJason on Mastodon------------------------------We would also appreciate a 5-star rating and review in Apple Podcasts and SpotifyPodcast artwork with help from Basic Apple Guy.Those interested in sponsoring the show can reach out to us at: podcast@primarytech.fm------------------------------Links from the showStephen and Jason's Home ScreensPerplexity Comet Changed How I Use My Mac - YouTubeWith Just 4 Words, Tim Cook Reset Apple's AI Narrative and Reminded Everyone Why You Shouldn't Count Them OutApple Q3 2025 results and charts: $95B revenue – Six ColorsTim Cook: Apple just sold its three-billionth iPhone - 9to5MacCEO Tim Cook says Apple ready to open its wallet to catch up in AI | ReutersApple CEO Tim Cook Tells Staff AI Is ‘Ours to Grab' in Pep Talk - BloombergTim Cook says Apple ‘must' figure out AI and ‘will make the investment to do it' | The VergeApple exec says Siri will get ‘much bigger upgrade than we envisioned' - 9to5MacGoogle dunks on Apple Intelligence in new Pixel 10 ad | The VergeSam Altman Teases OpenAI DeviceApple increases U.S. commitment to $600 billion, announces ambitious program - AppleApple, Corning to manufacture all iPhone, Apple Watch cover glass in Kentucky - AppleOpenAI teases GPT-5 launch event this Thursday | The VergeHow to set up and run OpenAI's 'gpt-oss-20b' open weight model locally on your Mac - 9to5MacInstagram adds two familiar social media features to its app - 9to5MacPerplexity is using stealth, undeclared crawlers to evade website no-crawl directivesAgents or Bots? Making Sense of AI on the Open WebOne of the biggest newsletter platforms now syndicates to Bluesky and Mastodon | The VergeHulu App to Be Phased Out; 'Fully Integrating' Into Disney+OpenAI in Talks for Share Sale at $500 Billion Valuation - BloombergOpenAI's ChatGPT to hit 700 million weekly users, up 4x from last year (00:00) - Intro (03:31) - Apple Q3 Earnings (07:37) - Apple's Secret AI All-Hands (12:41) - Samsung vs iPhone Camera (19:53) - Tim Cook on Apple AI (30:38) - Apple's AI Strategy (36:30) - Sponsor: 1Password (38:40) - Apple's U.S. Manufacturing (40:07) - ChatGPT-5 Launch (43:55) ...

There's a new most powerful AI model in townApple is trying to make a ChatGPT competitor.And OpenAI? Well.... they're in a capacity crunch.Big Tech made some BIG moves in AI this week. And you probably missed them. Don't worry. We gotchyu. On Mondays, Everyday AI brings you the AI News that Matters. No B.S. No marketing fluff. Just what you need to know to be the smartest person in AI at your company. Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Thoughts on this? Join the convo and connect with other AI leaders on LinkedIn.Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:OpenAI Study Mode in ChatGPT LaunchGoogle Gemini 2.5 Deep Think ReleaseGemini 2.5 Parallel Thinking and Coding BenchmarksGoogle AI Mode: PDF and Canvas FeaturesNotebook LM Video Overviews CustomizationMicrosoft Edge Copilot Mode Experimental RolloutOpenAI GPT-5 Model Launch DelaysApple Building In-House ChatGPT CompetitorMicrosoft and OpenAI Partnership RenegotiationAdditional AI Tool Updates: Runway, Midjourney, IdeogramTimestamps:00:00 AI Industry Updates and Competition03:22 ChatGPT's Study Mode Promotes Critical Thinking09:02 "Google AI Search Mode Enhancements"10:21 Google AI Enhances Learning Tools16:14 Microsoft Edge Introduces Copilot Mode20:18 OpenAI GPT-5 Delayed Speculation22:42 Apple Developing In-House ChatGPT Rival27:06 Microsoft-OpenAI Partnership Renegotiation30:51 Microsoft-OpenAI Partnership Concerns Rise33:23 AI Updates: Video, Characters, AmazonKeywords:Microsoft and OpenAI renegotiation, Copilot, OpenAI, GPT-5, AI model, Google Gemini 2.5, Deep Think mode, Google AI mode, Canvas mode, NotebookLM, AI browser, Agentic browser, Edge browser, Perplexity Comet, Sora, AI video tool, AI image editor, Apple AI chatbot, ChatGPT competitor, Siri integration, Artificial General Intelligence, AGI, Large Language Models, AI education tools, Study Mode, Academic cheating, Reinforcement learning, Parallel thinking, Code Bench Competition, Scientific reasoning, Chrome, Google Lens, Search Live, AI-powered search, PDF upload, Google Drive integration, Anthropic, Meta, Superintelligent labs, Amazon Alexa, Fable Showrunner, Ideogram, Midjourney, Luma Dream Machine, Zhipu GLM 4.5, Runway Alif, Adobe Photoshop harmonize, AI funding, AI product delays, AI feature rollout, AI training, AI onboarding, AI-powered presentations, AI-generated overviews, AI in business, AI technology partnership, AI investment, AI talent acqSend Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Ready for ROI on GenAI? Go to youreverydayai.com/partner

In Episode 262 of the House of #EdTech, Chris Nesi explores the timely and necessary topic of creating a responsible AI policy for your classroom. With artificial intelligence tools becoming more integrated into educational spaces, the episode breaks down why teachers need to set clear expectations and how they can do it with transparency, collaboration, and flexibility. Chris offers a five-part framework that educators can use to guide students toward ethical and effective AI use. Before the featured content, Chris reflects on a growing internal debate: is it time to step back from tech-heavy classrooms and return to more analog methods? He also shares three edtech recommendations, including tools for generating copyright-free images, discovering daily AI tool capabilities, and randomizing seating charts for better classroom dynamics. Topics Discussed: EdTech Thought: Chris debates the “Tech or No Tech” question in modern classrooms EdTech Recommendations: https://nomorecopyright.com/ - Upload an image to transform it into a unique, distinct version designed solely for inspiration and creative exploration. https://www.shufflebuddy.com/ - Never worry about seating charts again Foster a strong classroom community by frequently shuffling your seating charts while respecting your students' individual needs. https://whataicandotoday.com/ - We've analysed 16362 AI Tools and identified their capabilities with OpenAI GPT-4.1, to bring you a free list of 83054 tasks of what AI can do today. Why classrooms need a responsible AI policy A five-part framework to build your AI classroom policy Define What AI Is (and Isn't) Clarify When and How AI Can Be Used Promote Transparency and Attribution Include Privacy and Tool Approval Guidelines Make It Collaborative and Flexible The importance of modeling digital citizenship and AI literacy Free editable AI policy template by Chris for grades K–12 Mentions: Mike Brilla – The Inspired Teacher podcast Jake Miller – Educational Duct Tape podcast // Educational Duct Tape Book

The 2025 generative AI image market is a trade-off between aesthetic quality, instruction-following, and user control. This episode analyzes the key platforms, comparing Midjourney's artistic output against the superior text generation and prompt adherence of GPT-4o and Imagen 4, the commercial safety of Adobe Firefly, and the total customization of Stable Diffusion. Links Notes and resources at ocdevel.com/mlg/mla-25 Try a walking desk - stay healthy & sharp while you learn & code Build the future of multi-agent software with AGNTCY. The State of the Market The market is split by three core philosophies: The "Artist" (Midjourney): Prioritizes aesthetic excellence and cinematic output, sacrificing precise user control and instruction following. The "Collaborator" (GPT-4o, Imagen 4): Extensions of LLMs that excel at conversational co-creation, complex instruction following, and integration into productivity workflows. The "Sovereign Toolkit" (Stable Diffusion): An open-source engine offering users unparalleled control, customization, and privacy in exchange for technical engagement. Table 1: 2025 Generative AI Image Tool At-a-Glance Comparison Tool Parent Company Access Method(s) Pricing Core Strength Best For Midjourney v7 Midjourney, Inc. Web App, Discord Subscription Artistic Aesthetics & Photorealism Fine Art, Concept Design, Stylized Visuals GPT-4o OpenAI ChatGPT, API Freemium/Sub Conversational Control & Instruction Following Marketing Materials, UI/UX Mockups, Logos Google Imagen 4 Google Gemini, Workspace, Vertex AI Freemium/Sub Ecosystem Integration & Speed Business Presentations, Educational Content Stable Diffusion 3 Stability AI Local Install, Web UIs, API Open Source Ultimate Customization & Control Developers, Power Users, Bespoke Workflows Adobe Firefly Adobe Creative Cloud Apps, Web App Subscription Commercial Safety & Workflow Integration Professional Designers, Agencies, Enterprise Core Platforms Midjourney v7: Premium choice for artistic quality. Features: Web UI with Draft Mode, user personalization, emerging video/3D. Weaknesses: Poor text generation, poor prompt adherence, public images on cheap plans, no API/bans automation. OpenAI GPT-4o: An intelligent co-creator for controlled generation. Features: Conversational refinement, superior text rendering, understands uploaded image context. Weaknesses: Slower than competitors, generates one image at a time, strict content filters. Google Imagen 4: Pragmatic tool focused on speed and ecosystem integration. Features: High-quality photorealism, fast generation, strong text rendering, multilingual. Weaknesses: Less artistic flair; value is dependent on Google ecosystem investment. Stable Diffusion 3: Open-source engine for maximum user control. Features: MMDiT architecture improves prompt/text handling, scalable models, vast ecosystem (LoRAs/ControlNet). Weaknesses: Steep learning curve, quality is user-dependent. Adobe Firefly: Focused on commercial safety and professional workflow integration. Features: Trained on Adobe Stock for legal indemnity, Generative Fill/Expand tools. Weaknesses: Creative range limited by training data, requires Adobe subscription/credits. Tools and Concepts In-painting: Modifying a masked area inside an image. Out-painting: Extending an image beyond its original borders. LoRA (Low-Rank Adaptation): A small file that applies a fine-tuned style, character, or concept to a base model. ControlNet: Uses a reference image (e.g., pose, sketch) to enforce the composition, structure, or pose of the output. A1111 vs. ComfyUI: Two main UIs for Stable Diffusion. A1111 is a beginner-friendly tabbed interface; ComfyUI is a node-based interface for complex, efficient, and automated workflows. Workflows "Best of Both Worlds": Generate aesthetic base images in Midjourney, then composite, edit, and add text with precision in Photoshop/Firefly. Single-Ecosystem: Work entirely within Adobe Creative Cloud or Google Workspace for seamless integration, commercial safety (Adobe), and convenience (Google). "Build Your Own Factory": Use ComfyUI to build automated, multi-step pipelines for consistent character generation, advanced upscaling, and video. Decision Framework Choose by Goal: Fine Art/Concept Art: Midjourney. Logos/Ads with Text: GPT-4o, Google Imagen 4, or specialist Ideogram. Consistent Character in Specific Pose: Stable Diffusion with a Character LoRA and ControlNet (OpenPose). Editing/Expanding an Existing Photo: Adobe Photoshop with Firefly. Exclusion Rules: If you need legible text, exclude Midjourney. If you need absolute privacy or zero cost (post-hardware), Stable Diffusion is the only option. If you need guaranteed commercial legal safety, use Adobe Firefly. If you need an API for a product, use OpenAI or Google; automating Midjourney is a bannable offense.