Podcasts about sonnets

#realconversations #author #screenwriter #actor #Castaway#industrialdesigner #OhioState #director #standupcomedyCONVERSATIONS WITH CALVIN WE THE SPECIES with host CALVINSCHWARTZMeet MARK STEVEN PORRO: “Thinking about what to write aftermy interview with Mark. One word popped. Sonnet. Let me count the ways MarkSteven Porro amazed. A life beyond. A devoted son who became caretaker of his89-year-old mother. Yes, the word ‘Commode' is in his best-selling book title.More words. Stand-up comedian LA. Acting next to Tom Hanks in ‘Castaway' in theairplane crash scene. Hill Street Blues. The Ohio State University.Screenwriter. Residuals. South of France. Hospice.  Industrial designer. No particular order tothese words. But powerful stuff. To induce listeners. One illuminating,introspective, rare interview. Mark Steven Porro is an unforgettable force. ‘ACup of Tea on the Commode' is a must-read. We all have parents. I'll be back withMark when I finish the read.” Calvinhttps://www.youtube.com/c/ConversationswithCalvinWetheSpecIEs651  Interviews/Videos   9200 SUBSCRIBERSGLOBAL Reach. Earth Life. Amazing People.  PLEASE SUBSCRIBE and COMMENT**MARK STEVEN PORRO; Award Winning Designer; Writer; Director,Best Selling Author, “A Cup of Tea on the Commode” LIVE from South of Francewith host Calvin SchwartzYouTube: https://www.youtube.com/watch?v=CWiqXlG-d4IBIO: Mark is an award-winning designer, writer, director,and now a best-selling, award-winning author. He has written lots of jokes,several screenplays, and one award-winning short film. A Cup of Tea on theCommode—a sad, sweet, and funny debut memoir—chronicles his multitaskingadventures of filling his mother's last years with love, laughter, and joy.Though not always successful, he came pretty damn close.LINKS:Social Media links:https://acupofteaonthecommode.orghttps://www.facebook.com/teaonthehttps://www.facebook.com/markporrohttps://www.youtube.com/@acupofteaonthecommodehttps://twitter.com/teaonthehttps://www.instagram.com/a_cup_of_tea_on_the_commodehttps://www.linkedin.com/in/markporrohttps://www.pinterest.fr/acupofteaonthecommodehttps://www.tumblr.com/acupofteaonthecommodehttps://www.tiktok.com/@markstevenporrohttps://bsky.app/profile/markporro.bsky.social**WE ARE ALSO ON AUDIOAUDIO “Conversations with Calvin; WE the SpecIEs”ANCHOR https://lnkd.in/g4jcUPqSPOTIFY https://lnkd.in/ghuMFeCAPPLE PODCASTSBREAKER https://lnkd.in/g62StzJGOOGLE PODCASTS https://lnkd.in/gpd3XfMPOCKET CASTS https://pca.st/bmjmzaitRADIO PUBLIC https://lnkd.in/gxueFZw

Ryan Carson (ex-Treehouse, Intel; now Builder-in-Residence at Sourcegraph's AMP) shares his origin story and a practical playbook for shipping software with AI agents. We cover why “tokens aren't cheap,” how AMP made pro-level coding free via developer ads, a concrete workflow (PRD → atomic dev tasks → agent execution with self-tests), and why managers should spend time as ICs “managing AI.” We close with advice for raising AI-native kids and a perspective on this moment in tech (think integrated circuit–level shift).Timestamps00:00 – The beginning of intelligence: how LLMs changed Ryan's view of computing00:23 – Apple IIe → Turbo Pascal → Computer Science: the maker bug bites03:20 – DropSend: early SaaS, Dropbox name clash, first acquisition04:30 – Treehouse: teaching coding without a CS degree; $20M raised, acquired in 202105:02 – The “bigger than a computer” moment: discovering LLMs06:15 – Joining Intel: learning GPUs and the scale of silicon (“my adult internship”)07:09 – Building an AI divorce assistant → joining AMP as Builder-in-Residence09:38 – AMP vs ChatGPT/Claude/Cursor: agentic coding with contextual developer ads11:09 – Token economics: why AI isn't really cheap17:27 – Frontier vs Flash models (Sonnet 4.5 vs Gemini 2.5) — how costs scale21:31 – Private startup: vertical AI for specialized domains22:36 – The new wave of small, vertical AI businesses23:01 – Live demo: building a news app end-to-end with AMP28:18 – How to plan like a pro: write the PRD before you build30:02 – “Outsource the work, not your thinking.”32:28 – Turning PRDs into atomic tasks (1.0, 1.1…)35:50 – Competing in an AI world = planning well36:28 – Managers should schedule IC time to “manage AI”37:14 – Designing feedback loops so agents can test themselves39:47 – “AI lied to me”: why verifiable tests matter41:11 – Raising AI-native kids: build trust, context, and agency43:59 – “We're living in the integrated circuit moment of intelligence.”Tools & Technologies MentionedAMP (Sourcegraph) – Agentic coding tool/IDE copilot that plans, edits, and ships code. Now offers a high-end, ad-supported free tier; ads are contextual for developers and don't influence code outputs.Sourcegraph (Code Search) – Parent company; enterprise code intelligence/search.ChatGPT / Claude – General-purpose LLM assistants commonly used alongside coding agents.Cursor / Windsurf – AI-first code editors that integrate LLMs for completion and refactors.Bolt / Lovable – Text-to-app builders for rapid prototyping from prompts.WhisperFlow / SuperWhisper – Voice-to-text tools for fast prompting and dictation.Anthropic Sonnet 4.5 – Frontier-grade reasoning/coding model; powerful but pricier per token.Google Gemini 2.5 Flash – Fast, lower-cost model; “good enough” for many workloads.Auth0 (example) – Authentication-as-a-service mentioned as a contextual ad use case.GPUs / TPUs – Compute for training/inference; token cost drivers behind AI pricing.PRD + Atomic Tasks Workflow – Ryan's method: record spec → generate PRD → expand to dot-notated tasks → let the agent implement.Self-testing Scripts – Ask agents to generate runnable tests/health checks and loop until passing to reduce back-and-forth and prevent “it passed” hallucinations.Family ChatGPT Accounts – Tip for raising AI-native kids; teach sourcing, context, and trust calibration.Subscribe at⁠ thisnewway.com⁠ to get the step-by-step playbooks, tools, and workflows.

Hey, it's Alex! Happy Halloween friends! I'm excited to bring you this weeks (spooky) AI updates! We started the show today with MiniMax M2, the currently top Open Source LLM, with an interview with their head of eng, Skyler Miao, continued to dive into OpenAIs completed restructuring into a non-profit and a PBC, including a deep dive into a live stream Sam Altman had, with a ton of spicy details, and finally chatted with Arjun Desai from Cartesia, following a release of Sonic 3, a sub 49ms voice model! So, 2 interviews + tons of news, let's dive in! (as always, show notes in the end)Hey, if you like this content, it would mean a lot if you subscribe as a paid subscriber.Open Source AIMiniMax M2: open-source agentic model at 8% of Claude's price, 2× speed (X, Hugging Face )We kicked off our open-source segment with a banger of an announcement and a special guest. The new king of open-source LLMs is here, and it's called MiniMax M2. We were lucky enough to have Skyler Miao, Head of Engineering at Minimax, join us live to break it all down.M2 is an agentic model built for code and complex workflows, and its performance is just staggering. It's already ranked in the top 5 globally on the Artificial Analysis benchmark, right behind giants like OpenAI and Anthropic. But here's the crazy part: it delivers nearly twice the speed of Claude 3.5 Sonnet at just 8% of the price. This is basically Sonnet-level performance, at home, in open source.Skylar explained that their team saw an “impossible triangle” in the market between performance, cost, and speed—you could only ever get two. Their goal with M2 was to build a model that could solve this, and they absolutely nailed it. It's a 200B parameter Mixture-of-Experts (MoE) model, but with only 10B active parameters per inference, making it incredibly efficient.One key insight Skylar shared was about getting the best performance. M2 supports multiple APIs, but to really unlock its reasoning power, you need to use an API that passes the model's “thinking” tokens back to it on the next turn, like the Anthropic API. Many open-source tools don't support this yet, so it's something to watch out for.Huge congrats to the MiniMax team on this Open Weights (MIT licensed) release, you can find the model on HF! MiniMax had quite a week, with 3 additional releases, MiniMax speech 2.6, an update to their video model Hailuo 2.3 and just after the show, they released a music 2.0 model as well! Congrats on the shipping folks! OpenAI drops gpt-oss-safeguard - first open-weight safety reasoning models for classification ( X, HF )OpenAI is back on the open weights bandwagon, with a finetune release of their previously open weighted gpt-oss models, with gpt-oss-safeguard. These models were trained exclusively to help companies build safeguarding policies to make sure their apps remains safe! With gpt-oss-safeguards 20B and 120B, OpenAI is achieving near parity with their internal safety models, and as Nisten said on the show, if anyone knows about censorship and safety, it's OpenAI! The highlight of this release is, unlike traditional pre-trained classifiers, these models allow for updates to policy via natural language!These models will be great for businesses that want to safeguard their products in production, and I will advocate to bring these models to W&B Inference soon! A Humanoid Robot in Your Home by 2026? 1X NEO announcement ( X, Order page, Keynote )Things got really spooky when we started talking about robotics. The company 1X, which has been on our radar for a while, officially launched pre-orders for NEO, the world's first consumer humanoid robot designed for your home. And yes, you can order one right now for $20,000, with deliveries expected in early 2026.The internet went crazy over this announcement, with folks posting receipts of getting one, other folks stoking the uncanny valley fears that Sci-fi has built into many people over the years, of the Robot uprising and talking about the privacy concerns of having a human tele-operate this Robot in your house to do chores. It can handle chores like cleaning and laundry, and for more complex tasks that it hasn't learned yet, it uses a teleoperation system where a human “1X Expert” can pilot the robot remotely to perform the task. This is how it collects the data to learn to do these tasks autonomously in your specific home environment.The whole release is very interesting, from the “soft and quiet” approach 1X is taking, making their robot a 66lbs short king, draped in a knit sweater, to the $20K price point (effectively at loss given how much just the hands cost), the teleoperated by humans addition, to make sure the Robot learns about your unique house layout. The conversation on the show was fascinating. We talked about all the potential use cases, from having it water your plants and look after your pets while you're on vacation to providing remote assistance for elderly relatives. Of course, there are real privacy concerns with having a telepresence device in your home, but 1X says these sessions are scheduled by you and have strict no-go zones.Here's my prediction: by next Halloween, we'll see videos of these NEO robots dressed up in costumes, helping out at parties. The future is officially here. Will you be getting one? If not this one, when will you think you'll get one? OpenAI's Grand Plan: From Recapitalization to ASIThis was by far the biggest update about the world of AI for me this week! Sam Altman was joined by Jakub Pachocki, chief scientist and Wojciech Zaremba, a co-founder, on a live stream to share an update about their corporate structure, plans for the future, and ASI goals (Artificial Superintelligence) First, the company now has a new structure: a non-profit OpenAI Foundation governs the for-profit OpenAI Group. The foundation starts with about 26% equity and has a mission to use AI for public good, including an initial $25 billion commitment to curing diseases and building an “AI Resilience” ecosystem.But the real bombshells were about their research timeline. Chief Scientist Jakub Pachocki stated that they believe deep learning systems are less than a decade away from superintelligence (ASI). He said that at this point, AGI isn't even the right goal anymore. To get there, they're planning to have an “AI research intern” by September 2026 and a fully autonomous AI researcher comparable to their human experts by March 2028. This is insane if you think about it. As Yam mentioned, OpenAI is already shipping at an insane speed, releasing Models and Products, Sora, Atlas, Pulse, ChatGPT app store, and this is with humans, assisted by AI. And here, they are talking about complete and fully autonomous researchers, that will be infinitely more scalable than humans, in the next 2 years. The outcomes of this are hard to imagine and are honestly mindblowing. To power all this innovation, Sam revealed they have over $1.4 trillion in obligations for compute (over 30 GW). And said even that's not enough. Their aspiration is to build a “compute factory” capable of standing up one gigawatt of new compute per week, and he hinted they may need to “rethink their robotics strategy” to build the data centers fast enough. Does this mean OpenAI humanoid robots building factories?

Sonnet 153 is the first of two poems that round off the collection, both retelling the same story of a tired love god Cupid who falls asleep, having put down his torch beside him. This is taken up by a nymph who dips it in a cool fountain or well with the intention of 'disarming' Cupid, but the flame of the torch is so intense that it turns the pool into a hot bath where ever since men who are sick can go to find relief.

Send us a textHanh Bui discusses how Shakespeare's plays can make us rethink ageing.For a complete episode transcript, http://www.womenandshakespeare.comInterviewer: Varsha PanjwaniGuest: Hanh Bui Researcher: Julia Patterson Producers: Caitlin Cusack & Grace KunikTranscript: Benjamin PooreArtwork: Wenqi WanSuggested Citation:  Bui, Hanh in conversation with Panjwani, Varsha (2025). Hanh Bui on Ageing in Shakespeare. Women & Shakespeare [podcast], Series 6, Ep.2. http://womenandshakespeare.com/Insta: earlymoderndocEmail: earlymoderndoc@gmail.com

In this special episode, Sebastian Michael summarises the second part of The Sonnets by William Shakespeare in the 1609 collection and examines the questions they present in parallel to those posed by the Fair Youth Sonnets: - Is there a Dark Lady at all?- If so, who is it?- And what, if anything, do these sonnets tell us about the poet himself, irrespective of who she is?

Hey folks, Alex here. Can you believe it's already the middle of October? This week's show was a special one, not just because of the mind-blowing news, but because we set a new ThursdAI record with four incredible interviews back-to-back!We had Jessica Gallegos from Google DeepMind walking us through the cinematic new features in VEO 3.1. Then we dove deep into the world of Reinforcement Learning with my new colleague Kyle Corbitt from OpenPipe. We got the scoop on Amp's wild new ad-supported free tier from CEO Quinn Slack. And just as we were wrapping up, Swyx ( from Latent.Space , now with Cognition!) jumped on to break the news about their blazingly fast SWE-grep models. But the biggest story? An AI model from Google and Yale made a novel scientific discovery about cancer cells that was then validated in a lab. This is it, folks. This is the “let's f*****g go” moment we've been waiting for. So buckle up, because this week was an absolute monster. Let's dive in!ThursdAI - Recaps of the most high signal AI weekly spaces is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.Open Source: An AI Model Just Made a Real-World Cancer DiscoveryWe always start with open source, but this week felt different. This week, open source AI stepped out of the benchmarks and into the biology lab.Our friends at Qwen kicked things off with new 3B and 8B parameter versions of their Qwen3-VL vision model. It's always great to see powerful models shrink down to sizes that can run on-device. What's wild is that these small models are outperforming last generation's giants, like the 72B Qwen2.5-VL, on a whole suite of benchmarks. The 8B model scores a 33.9 on OS World, which is incredible for an on-device agent that can actually see and click things on your screen. For comparison, that's getting close to what we saw from Sonnet 3.7 just a few months ago. The pace is just relentless.But then, Google dropped a bombshell. A 27-billion parameter Gemma-based model they developed with Yale, called C2S-Scale, generated a completely novel hypothesis about how cancer cells behave. This wasn't a summary of existing research; it was a new idea, something no human scientist had documented before. And here's the kicker: researchers then took that hypothesis into a wet lab, tested it on living cells, and proved it was true.This is a monumental deal. For years, AI skeptics like Gary Marcus have said that LLMs are just stochastic parrots, that they can't create genuinely new knowledge. This feels like the first, powerful counter-argument. Friend of the pod, Dr. Derya Unutmaz, has been on the show before saying AI is going to solve cancer, and this is the first real sign that he might be right. The researchers noted this was an “emergent capability of scale,” proving once again that as these models get bigger and are trained on more complex data—in this case, turning single-cell RNA sequences into “sentences” for the model to learn from—they unlock completely new abilities. This is AI as a true scientific collaborator. Absolutely incredible.Big Companies & APIsThe big companies weren't sleeping this week, either. The agentic AI race is heating up, and we're seeing huge updates across the board.Claude Haiku 4.5: Fast, Cheap Model Rivals Sonnet 4 Accuracy (X, Official blog, X)First up, Anthropic released Claude Haiku 4.5, and it is a beast. It's a fast, cheap model that's punching way above its weight. On the SWE-bench verified benchmark for coding, it hit 73.3%, putting it right up there with giants like GPT-5 Codex, but at a fraction of the cost and twice the speed of previous Claude models. Nisten has already been putting it through its paces and loves it for agentic workflows because it just follows instructions without getting opinionated. It seems like Anthropic has specifically tuned this one to be a workhorse for agents, and it absolutely delivers. The thing to note also is the very impressive jump in OSWorld (50.7%), which is a computer use benchmark, and at this price and speed ($1/$5 MTok input/output) is going to make computer agents much more streamlined and speedy! ChatGPT will loose restrictions; age-gating enables “adult mode” with new personality features coming (X) Sam Altman set X on fire with a thread announcing that ChatGPT will start loosening its restrictions. They're planning to roll out an “adult mode” in December for age-verified users, potentially allowing for things like erotica. More importantly, they're bringing back more customizable personalities, trying to recapture some of the magic of GPT-4.0 that so many people missed. It feels like they're finally ready to treat adults like adults, letting us opt-in to R-rated conversations while keeping strong guardrails for minors. This is a welcome change, and we've been advocating for this for a while, and it's a notable change from the XAI approach I covered last week. Opt in for adults with verification while taking precautions vs engagement bait in the form of a flirty animated waifu with engagement mechanics. Microsoft is making every windows 11 an AI PC with copilot voice input and agentic powers (Blog,X)And in breaking news from this morning, Microsoft announced that every Windows 11 machine is becoming an AI PC. They're building a new Copilot agent directly into the OS that can take over and complete tasks for you. The really clever part? It runs in a secure, sandboxed desktop environment that you can watch and interact with. This solves a huge problem with agents that take over your mouse and keyboard, locking you out of your own computer. Now, you can give the agent a task and let it run in the background while you keep working. This is going to put agentic AI in front of hundreds of millions of users, and it's a massive step towards making AI a true collaborator at the OS level.NVIDIA DGX - the tiny personal supercomputer at $4K (X, LMSYS Blog)NVIDIA finally delivered their promised AI Supercomputer, and while the excitement was in the air with Jensen hand delivering the DGX Spark to OpenAI and Elon (recreating that historical picture when Jensen hand delivered a signed DGX workstation while Elon was still affiliated with OpenAI). The workstation was sold out almost immediately. Folks from LMSys did a great deep dive into specs, all the while, folks on our feeds are saying that if you want to get the maximum possible open source LLMs inference speed, this machine is probably overpriced, compared to what you can get with an M3 Ultra Macbook with 128GB of RAM or the RTX 5090 GPU which can get you similar if not better speeds at significantly lower price points. Anthropic's “Claude Skills”: Your AI Agent Finally Gets a Playbook (Blog)Just when we thought the week couldn't get any more packed, Anthropic dropped “Claude Skills,” a huge upgrade that lets you give your agent custom instructions and workflows. Think of them as expertise folders you can create for specific tasks. For example, you can teach Claude your personal coding style, how to format reports for your company, or even give it a script to follow for complex data analysis.The best part is that Claude automatically detects which “Skill” is needed for a given task, so you don't have to manually load them. This is a massive step towards making agents more reliable and personalized, moving beyond just a single custom instruction and into a library of repeatable, expert processes. It's available now for all paid users, and it's a feature I've been waiting for. Our friend Simon Willison things skills may be a bigger deal than MCPs!

Jamie and Jaeden discuss the release of Anthropic's Claude Sonnet 4.5, highlighting its advancements in coding capabilities. They explore how this model outperforms previous versions and other AI coding tools, emphasizing its ability to create production-ready applications. The discussion also touches on the rapid evolution of AI in software development and the implications for entrepreneurs and developers alike.Our Skool Community: https://www.skool.com/aihustleTry AI Box: https://aibox.aiTo recommend a guest email: guests(@)podcaststudio.comYouTube Video: https://youtu.be/R1FAwqLGsBMChapters00:00 Introduction to Claude Sonnet 4.501:32 The Impact of Claude Sonnet 4.5 on Coding05:23 Comparative Analysis of AI Coding Models08:57 Future of AI in Software Development

Rewolucje, kontrowersje i wizje przyszłości. W Brew to codzienność. Odpalamy silniki (elektryczne) i zabieramy Was w podróż po najważniejszych wydarzeniach ze świata technologii, które definiują to, jak będziemy pracować, tworzyć i komunikować się w najbliższej przyszłości.W odcinku między innymi:

The last poem in the collection to address William Shakespeare's mistress directly, Sonnet 152 conclusively answers some questions, while leaving many old and several new ones open for us to ponder into posterity. It asserts again that his Dark Lady is indeed 'dark', both in appearance and in character, and here makes a stronger than ever point of how he as the poet is perjuring himself by repeatedly, even continuously, saying things about her that are simply untrue; these things, notably, not being slanderous lies but favourable compliments. The sonnet thus epitomises the form that Shakespeare with his highly unusual series either deliberately or accidentally creates: that of the anti-love poem to someone he just can't resist, even though he knows that in this he presents as deep a character flaw in himself as the ones he perceives in the person or people he professes to love or desire.

MY NEWSLETTER - https://nikolas-newsletter-241a64.beehiiv.com/subscribeJoin me, Nik (https://x.com/CoFoundersNik), as I sit down with AI expert Elizabeth Knopf (https://x.com/leveragedupside) for a deep dive into Anthropic's Claude 4.5 Sonnet—the latest AI breakthrough for entrepreneurs and business automation in 2025.Watch as Elizabeth demonstrates game-changing features that transform Claude AI from static outputs into dynamic web applications through API integration and parallel tool execution. We explore extended AI thinking capabilities (up to 30 hours of processing), which delivers higher quality outputs for complex business tasks without constant iteration errors or AI hallucinations.The highlight? Claude generates a 22-page competitive analysis and content strategy for my YouTube channel versus Chris Koerner's "Corner Office"—complete with viral frameworks, audience insights, and growth recommendations. This deep AI research previously required specialized tools like Perplexity AI.We break down practical AI productivity strategies including building your AI second brain, prompt engineering libraries, context document management, and AI agent development for business operations. Elizabeth shares her framework for mastering AI tools like a fighter pilot—developing true AI literacy beyond basic prompting.QUESTIONS THIS EPISODE ANSWERS:What are Anthropic's key new updates for Claude 4.5 Sonnet and Claude Sonnet 4.5?How do dynamic AI artifacts and parallel tool execution speed up business workflows?How can extended AI thinking improve output quality for complex entrepreneurship tasks? What are the necessary components for building a functional AI second brain? How should entrepreneurs approach maximizing value from AI productivity tools? What's the difference between Claude AI and ChatGPT for business automation? How can first-time entrepreneurs use AI to build their first million-dollar business?What are the best AI tools for startup founders and small business owners? How do you create an AI operating system for personal productivity? What are practical AI use cases for entrepreneurs in 2025?__________________________Love it or hate it, I'd love your feedback.Please fill out this brief survey with your opinion or email me at nik@cofounders.com with your thoughts.__________________________MY NEWSLETTER: https://nikolas-newsletter-241a64.beehiiv.com/subscribeSpotify: https://tinyurl.com/5avyu98yApple: https://tinyurl.com/bdxbr284YouTube: https://tinyurl.com/nikonomicsYT__________________________This week we covered:00:00 Building Your AI Second Brain02:43 Anthropic's Claude Updates and Dynamic Artifacts06:07 Advanced Reasoning and Parallel Task Execution09:00 Enhanced Decision-Making and Contextual Awareness11:43 Creating Comprehensive Outputs and Research Strategies15:02 Navigating AI Technology and Personal Frameworks17:52 Managing AI Across Life's Pillars21:03 Building a Personal Operating System for AI23:54 The Future of AI in Organizations

Jane and Fi have been at a very important breakfast meeting, and they're feeling carb-giddy. In this sophisticated episode, they muse over the art of letter writing, the Nobel Prize in Literature, and Jane's tendency to don evening wear. Plus, crime writer Ann Cleeves discusses her latest Jimmy Perez instalment ‘The Killing Stones' and the future of Vera Stanhope. We've announced our next book club pick! 'Just Kids' is by Patti Smith. You can listen to the playlist here: https://open.spotify.com/playlist/3qIjhtS9sprg864IXC96he?si=uOzz4UYZRc2nFOP8FV_1jg&pi=BGoacntaS_uki. If you want to contact the show to ask a question and get involved in the conversation then please email us: janeandfi@times.radioFollow us on Instagram! @janeandfiPodcast Producer: Eve SalusburyExecutive Producer: Rosie Cutler Hosted on Acast. See acast.com/privacy for more information.

Mike Krieger is the chief product officer at Anthropic and co-founder of Instagram. Krieger joins Big Technology Podcast to discuss Anthropic's Sonnet 4.5 launch and how the company's been able to speed up AI model development. Tune in to hear how Anthropic is using internal tools to move fast, where the next generations of model improvements will look like, and whether model orchestration will be the core differentiator between labs. We also cover how AI development compares to social media, whether AI content will ever take off, and enterprise AI's path ahead. --- Want a discount for Big Technology on Substack + Discord? Here's 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Questions? Feedback? Write to: bigtechnologypodcast@gmail.com

AI Assisted Coding: Pachinko Coding—What They Don't Tell You About Building Apps with Large Language Models, With Alan Cyment In this BONUS episode, we dive deep into the real-world experience of coding with AI. Our guest, Alan Cyment, brings honest perspectives from the trenches—sharing both the frustrations and breakthroughs of using AI tools for software development. From "Pachinko coding" addiction loops to "Mecha coding" breakthroughs, Alan explores what actually works when building software with large language models. From Thermomix Dreams to Pachinko Reality "I bought into the Thermomix coding promise—describe the whole website and it would spit out the finished product. It was a complete disaster." Alan started his AI coding journey with high expectations, believing he could simply describe a complete application and receive production-ready code. The reality was far different. What he discovered instead was an addictive cycle he calls "Pachinko coding" (Pachinko, aka Slot Machines in Japan)—repeatedly feeding error messages back to the AI, hoping each iteration would finally work, while burning through tokens and time. The AI's constant reassurances that "this time I fixed it" created a gambling-like feedback loop that left him frustrated and out of pocket, sometimes spending over $20 in API credits in a single day. The Drunken PhD with Amnesia "It felt like working with a drunken PhD with amnesia—so wise and so stupid at the same time." Alan describes the maddening experience of anthropomorphizing AI tools that seem brilliant one moment and completely lost the next. The key breakthrough came when he stopped treating the AI as a person and started seeing it as a function that performs extrapolations—sometimes accurate, sometimes wildly wrong. This mental shift helped him manage expectations and avoid the "rage coding" that came from believing the AI should understand context and maintain consistency like a human collaborator. Making AI Coding Actually Work "I learned to ask for options explicitly before any coding happens. Give me at least three options and tell me the pros and cons." Through trial and error, Alan developed practical strategies that transformed AI from a frustrating Pachinko machine into a useful tool: Ask for options first: Always request multiple approaches with pros and cons before any code is generated Use clover emoji convention: Implement a consistent marker at the start of all AI responses to track context Small steps and YAGNI principles: Request tiny, incremental changes rather than large refactoring Continuous integration: Demand the AI run tests and checks after every single change Explicit refactoring requests: Regularly ask for simplification and readability improvements Take two steps back: When stuck in a loop, explicitly tell the AI to simplify and start fresh Choose the right tech stack: Use technologies with abundant training data (like Svelte over React Native in Alan's experience) The Mecha Coding Breakthrough "When it worked, I felt like I was inside a Lego Mecha robot—the machine gave me superpowers, but I was still the one in control." Alan successfully developed a birthday reminder app in Swift in just one day, despite never having learned Swift. He made architectural decisions and guided the development without understanding the syntax details. This experience convinced him that AI represents a genuine new level of abstraction in programming—similar to the jump from assembly language to high-level languages, or from procedural to object-oriented programming. You can now think in English about what you want, while the AI handles the accidental complexity of syntax and boilerplate. The Cost Reality Check "People writing about vibe coding act like it's free. But many people are going to pay way more than they would have paid a developer and end up with empty hands." Alan provides a sobering cost analysis based on his experience. Using DeepSeek through Aider, he typically spends under $1 per day. But when experimenting with premium models like Claude Sonnet 3.5, he burned through $5 in just minutes. The benchmark comparisons are revealing: DeepSeek costs $4 for a test suite, DeepSeek R1 plus Sonnet costs $16, while Open AI's O1 costs $190. For non-developers trying to build complete applications through pure "vibe coding," the costs can quickly exceed what hiring a developer would cost—with far worse results. When Thermomix Actually Works "For small, single-purpose scripts that I'm not interested in learning about and won't expand later, the Thermomix experience was real." Despite the challenges, Alan found specific use cases where AI truly delivers on the "just describe it and it works" promise. Processing Zoom attendance logs, creating lookup tables for video effects, and other single-file scripts worked remarkably well. The pattern: clearly defined context, no need for ongoing maintenance, and simple enough to verify the output without deep code inspection. For these thermomix moments, AI proved genuinely transformative. The Pachinko Trap and Tech Stack Matters "It became way more stable when I switched to Svelte from React Native and Flutter, even following the same prompting practices. The AI is just more proficient in certain tech stacks." Alan discovered that some frameworks and languages work dramatically better with AI than others, likely due to the amount of training data available. His e-learning platform attempts with React Native and Flutter kept breaking, but switching to Svelte with web-based deployment became far more stable. This suggests a crucial strategy: choose mainstream, well-documented technologies when planning AI-assisted projects. From Coding to Living with AI Alan has completely stopped using traditional search engines, relying instead on LLMs for everything from finding technical documentation to getting recommendations for books based on his interests. While he acknowledges the risk of hallucinations, he finds the semantic understanding capabilities too valuable to ignore. He's even used image analysis to troubleshoot his father's cable TV problems and figure out hotel air conditioning controls. The Agile Validation "My only fear is confirmation bias—but the conclusion I see other experienced developers reaching is that the only way to make LLMs work is by making them use agility. So look at who's dead now." Alan notes the irony that the AI coding tools that actually work all require traditional software engineering best practices: small iterations, test-driven development, continuous integration, and explicit refactoring. The promise of "just describe what you want" falls apart without these disciplines. Rather than replacing software engineering principles, AI tools seem to validate their importance. About Alan Cyment Alan Cyment is a consultant, trainer, and facilitator based in Buenos Aires, specializing in organizational fluency, agile leadership, and software development culture change. A Certified Scrum Trainer with deep experience across Latin America and Europe, he blends agile coaching with theatre-based learning to help leaders and teams transform. You can link with Alan Cyment on LinkedIn.

Our 222st episode with a summary and discussion of last week's big AI news!Recorded on 10/03/2025Hosted by Andrey Kurenkov and co-hosted by Jon KrohnFeel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode:(00:00:10) Intro / Banter(00:03:08) News Preview(00:03:56) Response to listener commentsTools & Apps(00:04:51) ChatGPT parent company OpenAI announces Sora 2 with AI video app(00:11:35) Anthropic releases Claude Sonnet 4.5 in latest bid for AI agents and coding supremacy | The Verge(00:22:25) Meta launches 'Vibes,' a short-form video feed of AI slop | TechCrunch(00:26:42) OpenAI launches ChatGPT Pulse to proactively write you morning briefs | TechCrunch(00:33:44) OpenAI rolls out safety routing system, parental controls on ChatGPT | TechCrunch(00:35:53) The Latest Gemini 2.5 Flash-Lite Preview is Now the Fastest Proprietary Model (External Tests) and 50% Fewer Output Tokens - MarkTechPost(00:39:54) Microsoft just added AI agents to Word, Excel, and PowerPoint - how to use them | ZDNETApplications & Business(00:42:41) OpenAI takes on Google, Amazon with new agentic shopping system | TechCrunch(00:46:01) Exclusive: Mira Murati's Stealth AI Lab Launches Its First Product | WIRED(00:49:54) OpenAI is the world's most valuable private company after private stock sale | TechCrunch(00:53:07) Elon Musk's xAI accuses OpenAI of stealing trade secrets in new lawsuit | Technology | The Guardian(00:55:40) Former OpenAI and DeepMind researchers raise whopping $300M seed to automate science | TechCrunchProjects & Open Source(00:58:26) [2509.16941] SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks?Research & Advancements(01:01:28) [2509.17196] Evolution of Concepts in Language Model Pre-Training(01:05:36) [2509.19284] What Characterizes Effective Reasoning? Revisiting Length, Review, and Structure of CoTLighting round(01:09:37) [2507.02954] Advanced Financial Reasoning at Scale: A Comprehensive Evaluation of Large Language Models on CFA Level III(01:12:03) [2509.24552] Short window attention enables long-term memorizationPolicy & Safety(01:18:11) SB 53, the landmark AI transparency bill, is now law in California | The Verge(01:24:07) Elon Musk's xAI offers Grok to federal government for 42 cents | TechCrunch(01:25:23) Character.AI removes Disney characters from platform after studio issues warning(01:28:50) Spotify's Attempt to Fight AI Slop Falls on Its FaceSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Sora 2 is here, and it's a mind-blowing, copyright-defying mess. That kicks off this week's episode of The Artificial Intelligence Show. In it, Paul Roetzer and Mike Kaput break down everything going on in AI this week, including the release of Claude Sonnet 4.5, ChatGPT's new Instant Checkout feature, Elon Musk's Grokipedia, and much more. Show Notes: Access the show notes and show links here Timestamps:  00:00:00 — Intro 00:07:24 — Sora 2 and OpenAI's AI Social Video App 00:31:30 — Claude Sonnet 4.5 00:42:01 — ChatGPT Instant Checkout and AI Commerce 00:47:18 — OpenAI H1 Results 00:53:43 — In New Interview, Sam Altman Says the GPT-5 Haters Got It All Wrong 00:57:27 — Grokopedia 01:02:27 — Tinker from Thinking Machines 01:04:30 — California Enacts AI Transparency Law 01:07:45 — Mercor Launches AI Productivity Index 01:13:27 — AI Impact on Jobs Updates 01:16:56 — AI Product and Funding Updates This episode is brought to you by AI Academy by SmarterX. AI Academy is your gateway to personalized AI learning for professionals and teams. Discover our new on-demand courses, live classes, certifications, and a smarter way to master AI. You can get $100 off either an individual purchase or a membership by using code POD100 when you go to academy.smarterx.ai. This week's episode is brought to you by MAICON, our 6th annual Marketing AI Conference, happening in Cleveland, Oct. 14-16. The code POD100 saves $100 on all pass types. For more information on MAICON and to register for this year's conference, visit www.MAICON.ai. Visit our website Receive our weekly newsletter Join our community: Slack LinkedIn Twitter Instagram Facebook Looking for content and resources? Register for a free webinar Come to our next Marketing AI Conference Enroll in our AI Academy 

OpenAI is dropping a visual agent builder

Recorded by Zeina Hashem Beck for Poem-a-Day, a series produced by the Academy of American Poets. Published on October 6, 2025. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.poets.org⁠

In this episode of the Gen.AI Meetup Podcast, hosts Shashank and Mark dive into the latest AI developments that are reshaping how we create, code, and browse. They explore OpenAI's impressive Sora 2 video generation model and its built-in social network, compare it with Google's VO3, and discuss whether AI-generated content will become mainstream entertainment. The conversation shifts to the newest coding models, including Anthropic's Claude 4.5 Sonnet and Grok 4 Fast, examining their performance, pricing, and whether they're worth the cost for developers. Mark shares his experience vibe coding with Cursor and why faster, cheaper models might be better than the most powerful ones. The hosts also explore the maturing AI browser space, discussing Perplexity's Comet browser, Dia from the Browser Company, and Google's Gemini integration in Chrome. They debate whether these AI-native browsers can convince users to switch from Chrome and what features would actually make them indispensable. Finally, they tackle the big question: Is NVIDIA's $4.5 trillion valuation justified? They discuss the company's dominance in AI chips, the circular investment patterns in the industry, and whether specialized compute chips can compete with NVIDIA's end-to-end ecosystem. Timestamps: 0:00 - Intro & OpenAI's Sora 2 announcement 8:30 - Sora 2 vs Google VO3: The new video generation king 15:45 - Claude 4.5 Sonnet: Worth the premium price? 25:20 - Grok 4 Fast: Crazy cheap, crazy fast 35:15 - NVIDIA's dominance: Bubble or justified? 50:40 - AI browsers: Comet, Dia, and the future of browsing 1:02:15 - Ambient computing and what's next Mentioned Resources: OpenRouter - Multi-model API aggregator Cursor - AI-powered code editor Perplexity Comet - AI-native browser Upcoming event: Coding Agents Showcase - Jan 9th, Palo Alto https://partiful.com/e/joRDIOYMqpogKjNtvlHY  Don't forget to RSVP for our Coding Agents event featuring Zed, Augment Code, Code Flash, Factory AI, and more! Spots are limited and filling fast. Have questions? Drop them in the YouTube comments and we'll answer them in future episodes!

Anthropic dropped a bunch of good Claude Code updates. There's a new a native VS Code extension, a v2 of the terminal version of Claude, code checkpoints, and it's all powered by Sonnet 4.5, Anthropic's best coding model yet.On top of Claude's glow up, the Google Chrome team launched a Chrome DevTools MCP. AI coding assistants will be able to debug web pages directly in a Chrome browser, including using DevTools to review network requests, console output and page structure, simulate user interactions, and even automate performance audits.In a poorly planned move, the CEO of Vercel tweeted a picture of himself meeting with the controversial Israeli Prime minister, Benjamin Netanyahu. This sparked a massive online backlash, some Vercel employees quit, and many customers are leaving the hosting site and vowing to stop using Next.js, as well. Timestamps:00:46 - Claude Sonnet and Claude Code updates7:55 - Chrome DevTools MCP13:50 - Vercel Drama19:03 - State of JS survey is open20:21 - GitHub's plan to make npm more secure25:30 - Meta builds data center the size of 70 football fields29:04 - What's making us happyLinks:Paige - Chrome DevTools MCPJack - Vercel's in hot water after a selfie with Benjamin NetanyahuTJ - Claude Code levels upState of JS survey is openGitHub's got a plan to make npm more secureMeta builds AI data center the size of 70 football fieldsPaige - Star Trek: Strange New Worlds season 3Jack - reactnorway.comThanks as always to our sponsor, the Blue Collar Coder channel on YouTube. You can join us in our Discord channel, explore our website and reach us via email, or talk to us on X, Bluesky, or YouTube.Front-end Fire websiteBlue Collar Coder on YouTubeBlue Collar Coder on DiscordReach out via emailTweet at us on X @front_end_fireFollow us on Bluesky @front-end-fire.comSubscribe to our YouTube channel @Front-EndFirePodcast

Chocolate Yoddah reads Sonnet XXXVIIFollow Me On TikTokhttps://www.tiktok.com/@chocolate.yoddahMore at Spotifyhttps://open.spotify.com/show/0vbZEWPxCkPDV8wGJJi9Tb?si=6fb4777b363b43e9Get Uncensored Content On Patreonhttps://www.patreon.com/ThePersistentRumorFacebookhttps://www.facebook.com/ThePersistentRumorInstagramhttps://www.instagram.com/ThePersistentRumorTwitterhttps://twitter.com/PersistentRumorOriginal theme music written, produced, and performed by Chocolate Yoddah

The heavily and obviously innuendo-laden Sonnet 151 returns to a struggle the poet purports to experience between what his soul – the 'nobler part' of his being – knows to be right and what his body wants and, with the by implication reluctant permission of the soul, then also gets: sex with his mistress. Although coached in euphemism and metaphor, it is in fact one of the most sexually explicit sonnets in the collection and succeeds in leaving remarkably little to the imagination, once unpacked.

Max Zeff, Sr. AI reporter at Techcrunch, joins for our weekly discussion of the latest tech news. We cover: 1) OpenAI introduces Sora 2 2) Will these AI video feeds catch on? 3) Is Sora 2 an important technological advance above all? 4) Why Meta is nervous about OpenAI's momentum in social 5) OpenAI employees have mixed feelings about Sora 6) Why AI video feeds may be the end of the creator economy. 7) Why they may not be 8) Meta will use AI chats to train its ad models 9) Meta's AI research moves more toward product development 10) Anthropic launches its Sonnet 4.5 model 11) Apple prioritizes smart glasses 12) Max tries out the Friend pendant --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack + Discord? Here's 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b Three Faces Of Generative AI: https://www.bigtechnology.com/p/the-three-faces-of-generative-ai Questions? Feedback? Write to: bigtechnologypodcast@gmail.com

Is the AI disruption overhyped or just getting started?Yale says the labor market isn't budging. Walmart is betting $1B that employee training is the missing piece. Meanwhile, Gen Z is pivoting to trades in an AI-fearing talent shift no one saw coming.This week's AI headlines tell a much deeper story than flashy product drops. From ChatGPT turning into a shopping mall to Claude going full autonomous coder, and the rise of “work slop” at the office—every release points to a strategic fork in the road: consumerization vs. enterprise agents.Your job as a business leader? Know which wave to ride—and when. This episode delivers the insights to help you navigate the noise, avoid the hype, and see what's really happening under the surface.In this session, you'll discover:Why Yale's new research says there's no labor disruption yet—and what that doesn't meanHow Walmart's $1B upskilling initiative reflects a bigger workforce gap than most execs are ready to admitThe quiet revolution: Claude 4.5 coding autonomously for 30 hours straightOpenAI's wild move into consumer land with Sora 2 + an invite-only social video feedWhy Instant Checkout turns ChatGPT into an e-commerce front-end (and how it could threaten Amazon)The rise of “work slop”—and the reputational risk it brings to your teamAgentic browsers are here: Comet, Opera Neon, and more change how we interact with the webAI in Hollywood: The synthetic actress already replacing human starsAnd a shocking stat: 58% of employees are using AI tools with no training—and leaking sensitive dataYale Budget Lab: Early Evidence of AI's Labor Market Impacts - https://budgetlab.yale.edu/research/evaluating-impact-ai-labor-market-current-state-affairs About Leveraging AI The Ultimate AI Course for Business People: https://multiplai.ai/ai-course/ YouTube Full Episodes: https://www.youtube.com/@Multiplai_AI/ Connect with Isar Meitis: https://www.linkedin.com/in/isarmeitis/ Join our Live Sessions, AI Hangouts and newsletter: https://services.multiplai.ai/events If you've enjoyed or benefited from some of the insights of this episode, leave us a five-star review on your favorite podcast platform, and let us know what you learned, found helpful, or liked most about this show!

Join Simtheory: https://simtheory.ai (Use STILLRELEVANT for $10 off)----00:00 - Sora2 Examples00:56 - Sora2: Initial Impressions & Thoughts26:39 - Claude Sonnet 4.5: It's REALLY good47:09 - Claude Agent SDK & AI Agent Systems55:05 - Is Claude Imagine a Look at Future Software / AI OS?1:00:25 - Claude 4.5 Sonnet Dis Track1:06:24 - "Real AI Agents and Real Work" & Enterprise Agent / MCP workflows1:31:41 - LOL of the week Sora2 Steve Irwin Video1:35:07 - Full Claude Sonnet 4.5 Dis Track----Thanks for listening and your support, we really appreciate it!xoxox

BBC ve Evolution Trucks Peru'dan alınan verilere göre yapay zeka ile seyahat planlayanların %33'ü yanlış bilgilerle karşılaşmış.Ayrıca, Hollywood yıldızları yapay zeka oyuncularına karşı bir duruş sergilerken, Turkcell yapay zeka ilkelerini güncelleyerek teknolojiye insan odaklı ve etik bir yaklaşımla yaklaşacağını belirtti. Bu gelişmeler, yapay zekanın hem olumlu hem de olumsuz yönlerini bir kez daha gözler önüne seriyor.Videodaki önemli başlıklar ve zamanları aşağıdadır:[01:39] Yapay Zeka Video Üretimi: OpenAI Sora 2 ve Google Veo 3 karşılaştırması[02:07] Yapay Zeka ile yaratılan video örnekleri[02:51] Yapay Zeka ile yaratılan video örnekleri (buz pateni)[03:00] Yapay Zeka ile yaratılan video örnekleri (ejderha)[03:10] Barış Özcan'ın Sora 2 ile yaptığı distopik video örneği[03:36] Yapay Zeka ile yaratılan video örnekleri (astronot)[05:39] Yapay Zeka ile yaratılan video örnekleri (yağmur)[07:51] Hollywood Yıldızları Yapay Zeka Oyuncusuna Karşı[09:23] DeepSeek 3.2 sürümü ve yapay zeka API fiyatları[10:45] Çin'de tuvalet kağıdı için reklam izleme veya para ödeme sistemi[11:46] Accenture'ın 11.000 çalışanını işten çıkarması ve yapay zeka uyarısı[16:21] OpenAI'da yapay zekanın "oyuncak mı, insanlığa hizmet mi" tartışması[18:25] Yapay zeka ile hayatta olmayan yerlere seyahat planlama hataları[21:12] Turkcell'in Yapay Zeka İlkelerini Güncellemesi[22:08] Maliye'nin yapay zeka destekli denetim sistemi[22:24] Nvidia'nın rakipsiz çip üretimi ve pazar hakimiyeti[23:25] Anthropic'in Claude 3.5 Sonnet'in kodlama performansı

Sholto Douglas, a top AI researcher at Anthropic, discusses the breakthroughs behind Claude Sonnet 4.5—the world's leading coding model—and why we might be just 2-3 years from AI matching human-level performance on most computer-facing tasks.You'll discover why RL on language models suddenly started working in 2024, how agents maintain coherency across 30-hour coding sessions through self-correction and memory systems, and why the "bitter lesson" of scale keeps proving clever priors wrong.Sholto shares his path from top-50 world fencer to Google's Gemini team to Anthropic, explaining why great blog posts sometimes matter more than PhDs in AI research. He discusses the culture at big AI labs and why Anthropic is laser-focused on coding (it's the fastest path to both economic impact and AI-assisted AI research). Sholto also discusses how the training pipeline is still "held together by duct tape" with massive room to improve, and why every benchmark created shows continuous rapid progress with no plateau in sight.Bold predictions: individuals will soon manage teams of AI agents working 24/7, robotics is about to experience coding-level breakthroughs, and policymakers should urgently track AI progress on real economic tasks. A clear-eyed look at where AI stands today and where it's headed in the next few years.AnthropicWebsite - https://www.anthropic.comTwitter - https://x.com/AnthropicAISholto DouglasLinkedIn - https://www.linkedin.com/in/sholtoTwitter - https://x.com/_sholtodouglasFIRSTMARKWebsite - https://firstmark.comTwitter - https://twitter.com/FirstMarkCapMatt Turck (Managing Director)LinkedIn - https://www.linkedin.com/in/turck/Twitter - https://twitter.com/mattturck(00:00) Intro(01:09) The Rapid Pace of AI Releases at Anthropic(02:49) Understanding Opus, Sonnet, and Haiku Model Tiers(04:14) From Australian Fencer to AI Researcher(12:01) The YouTube Effect: Mastery Through Observation(16:16) Breaking Into AI Research Without Traditional Signals(18:29) Google, Gemini, and Building Inference Stacks(23:05) Why Anthropic? Culture and Mission Differences(25:08) What Is "Taste" in AI Research?(31:46) Sonnet 4.5: Best Coding Model in the World(36:40) From 7 Hours to 30 Hours: The Long-Context Breakthrough(38:41) How AI Agents Self-Correct and Maintain Coherency(43:13) The Role of Memory in Extended Coding Sessions(46:28) Breakthroughs Behind the Performance Jump(47:42) Pre-Training vs. RL: Textbooks vs. Worked Problems(52:11) Test-Time Compute: The New Scaling Axis(55:55) Why RL Finally Started Working on LLMs in 2024(59:38) Defining AGI: Better Than Humans at Computer Tasks(01:02:05) Are We Hitting a Plateau? Evidence Says No(01:03:41) The GDP Eval: Measuring AI Across Economic Sectors(01:05:47) Preparing for 10-100x Individual Leverage & Robotics

Po nusikalstamo pasaulio pamėgtais, neva šifruotos komunikacijos „Anom“ telefonais slėpėsi FTB operacija, o slapta komunikacija buvo saugoma serveryje Šiauliuose. „ChatGPT“ testuoja pirkimą tiesiai programėlėje, pradėjusi bendradarbiauti su „Etsy“, o „ChatGPT“ funkcija „Pulse“ žada per naktį paruošti tau personalizuotą turinio srautą. Naujas „Claude 4.5 Sonnet“ modelis vieną programavimo užduotį nuosekliai vykdė 30 valandų. „Imagine with Claude“ prifantazuoja tau įvairių programos funkcijų ir, jei sudomina, imasi jas programuoti. „OpenAI“ pristatė naują vaizdo generavimo modelį „Sora 2“. „Meta Vibes“ – nauja platforma trumpiems, dirbtiniu intelektu sugeneruotiems vaizdo įrašams (niekas tokios neprašė). Staigiai JAV išpopuliarėjusi programėlė „Neon“ siūlė mokėti už tavo skambučių įrašus, tačiau mainais davė didelę saugumo spragą. „Workslop“ – rimtai atrodantis, bet vertės nekuriantis sugeneruotas darbinis turinys (kaip tai pavadinsime lietuviškai?). Žaidimų kūrėjai „EA“ parduoti už 55 mlrd. JAV dolerių.

Send us a textIn this jam-packed episode of Sidecar Sync, co-hosts Amith Nagarajan and Mallory Mejias tackle five cutting-edge AI developments, all (mostly) fitting into three big buckets. From the powerhouse that is Claude 4.5 Sonnet to OpenAI's stunning new Sora 2 video model, this episode dives into real-world use cases, experiments, and emerging tools that are reshaping how associations can work smarter. They also break down the promise of computer use models, the future of AI-native browsers, and what "boring AI" really means for legacy software. Amith shares highlights from the Blue Cypress Leadership Summit and explains why early adopters might just lap the competition. Packed with demos, practical takeaways, and some existential questions for creatives, this is one you don't want to miss. 

Anthropic's Breakthrough AI, California's Landmark AI Law, and China's Robot Revolution In this episode of Hashtag Trending, host Jim Love discusses Anthropic's release of Claude Sonnet 4.5, which can operate independently for hours, remembering tasks and juggling multiple tools. Additionally, California's Governor Gavin Newsom has signed a new AI law requiring tech giants to publish safety reports, while exempting smaller startups. The episode also covers China's dominance in industrial robots, a result of deliberate industrial policy, outpacing the US and Canada. Lastly, Nvidia's strategic moves to maintain its lead in AI chip development are highlighted, including Jensen Huang's tactical partnerships with companies like OpenAI. 00:00 Introduction and Headlines 00:32 Anthropic's Claude Sonnet 4.5: A New Era in AI 02:38 California's Landmark AI Safety Law 04:22 China's Dominance in Industrial Robots 06:04 Nvidia's Strategic Moves in the AI Chip Market 07:36 Conclusion and Listener Engagement

In our latest episode, Michelle Lee (IDEO Play Lab) makes the case that play unlocks the next billion-dollar AI market. She reminds us that kids don't stop at answers—they ask what if and turn shoes into cars or planes. That divergent mindset is exactly what product teams have lost.“Play is one of the best ways to challenge the norms, to think wide, imagine new possibilities.”Michelle shares:* How IDEO discovered billion-dollar opportunities (like PillPack, later acquired by Amazon) by staying curious.* Why teams should sometimes use older, glitchier versions of AI tools, because the “mistakes” spark better ideas.* Why incrementalism burns teams out and how designing for attitudinal loyalty beats chasing short-term metrics.

Das ist das KI-Update vom 01.10.2025 unter anderem mit diesen Themen: KI-Stethoskop soll Herzkrankheiten in 15 Sekunden erkennen können Amazon zeigt mehr von seiner neuen KI-Assistentin Alexa+ Anthropics Claude Sonnet 4.5 mit mehr Ausdauer und Apple zeigt erste lokale KI-Apps Links zu allen Themen der heutigen Folge findet Ihr hier: https://heise.de/-10689551 https://www.heise.de/thema/KI-Update https://pro.heise.de/ki/ https://www.heise.de/newsletter/anmeldung.html?id=ki-update https://www.heise.de/thema/Kuenstliche-Intelligenz https://the-decoder.de/ https://www.heiseplus.de/podcast https://www.ct.de/ki Eine neue Folge gibt es montags, mittwochs und freitags ab 15 Uhr.

Is this the AI agent we've all been waiting for?

Anthropic's Claude Sonnet 4.5 reportedly demonstrates groundbreaking autonomy by coding for up to 30 hours non-stop, significantly outpacing prior benchmarks like GPT-5 Codex's seven-hour runs. This leap is enabled by innovations such as enforced modular artifacts, persistent memory surfaces, planning loops, and runtime constraints—transforming the way AI tackles complex, long-horizon tasks. The broader implication is that AI is now not only capable of building sophisticated applications autonomously but is also recursively engineering its own future iterations, rapidly accelerating progress across the tech landscape.Brought to you by:Is your enterprise ready for the future of agentic AI?⁠⁠⁠⁠⁠⁠⁠Visit AGNTCY.org⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Visit Outshift Internet of Agents⁠⁠⁠⁠⁠⁠⁠Try Notion AI today with Notion 3.0 ⁠⁠⁠⁠⁠⁠⁠https://ntn.so/nlw⁠⁠⁠⁠⁠⁠⁠KPMG – Discover how AI is transforming possibility into reality. Tune into the new KPMG 'You Can with AI' podcast and unlock insights that will inform smarter decisions inside your enterprise. Listen now and start shaping your future with every episode. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.kpmg.us/AIpodcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Blitzy.com - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://blitzy.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to build enterprise software in days, not months Robots & Pencils - Cloud-native AI solutions that power results ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://robotsandpencils.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Vanta - Simplify compliance - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://vanta.com/nlw⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Agent Readiness Audit from Superintelligent - Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://besuper.ai/ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠to request your company's agent readiness score.The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614Interested in sponsoring the show? nlw@aidailybrief.ai

Welcome to episode 324 of The Cloud Pod, where the forecast is always cloudy! Justin, Ryan, and Jonathan are your hosts, bringing you all the latest news and announcements in Cloud and AI. This week we have some exec changes over at Oracle, a LOT of announcements about Sonnet 4.5, and even some marketplace updates over at Azure! Let's get started.  Titles we almost went with this week Oracle’s Executive Shuffle: Promoting from Within While Chasing from Behind Copilot Takes the Wheel on Your Legacy Code Highway Queue Up for GPUs: Google’s Take-a-Number Approach to AI Computing License to Bill: Google’s 400% Markup Grievance Autopilot Engages: GKE Goes Full Self-Driving Mode SQL Server Finally Gets a Lake House Instead of a Server Room Microsoft Gives Office Apps Their Own AI Interns Claude and Present Danger: The AI That Codes for 30 Hours Straight The Claude Father Part 4.5: An Offer Your Code Can’t Refuse CUD You Believe It? Google Makes Discounts Actually Flexible ECS Goes Full IPv6: No IPv4s Given Breaking News: AWS Finally Lets You Hit the Emergency Stop Button One Marketplace to Rule Them All BigQuery Gets a Crystal Ball and a Chatty Friend Azure’s September to Remember: When Certificates and Allocators Attack Shall I Compare Thee to a Sonnet? 4.5 Ways Anthropic Just Leveled Up AWS provides a big red button Follow Up  01:26 The global harms of restrictive cloud licensing, one year later | Google Cloud Blog Google Cloud filed a formal complaint with the European Commission one year ago about Microsoft’s anti-competitive cloud licensing practices, specifically the 400% price markup Microsoft imposes on customers who move Windows Server workloads to non-Azure clouds. The UK Competition and Markets Authority found that restrictive licensing costs UK cloud customers £500 million annually due to lack of competition, while US government agencies overspend by $750 million yearly because of Microsoft’s licensing tactics. Microsoft recently disclosed that forcing software customers to use Azure is one of three pillars driving its growth and is implementing new licensing changes preventing managed service providers from hosting certain workloads on Azure competitors. Multiple regulators globally including South Africa and the US FTC are now investigating Microsoft’s cloud licensing practices, with the CMA finding that Azure has gained customers at 2-3x the rate of competitors since implementing restrictive terms. A European Centre for Inter

Vercel's COO Jeanne DeWitt Grosser, talks with TITV Host Akash Pasricha about the company's $300M series F funding round and its aspirations to become the "AWS of AI." We also talk with Warp's Zach Lloyd and Zencoder's Andrew Filev about their first reactions to the new Claude Sonnet 4.5 model. The Information's Theo Wayt breaks down the latest xAI org chart shake-ups, and we also get into AI agents with AWS's Director of Technology, Shaown Nandi.Articles discussed on this episode:https://www.theinformation.com/articles/people-running-elon-musks-xaiTITV airs on YouTube, X and LinkedIn at 10AM PT / 1PM ET. Or check us out wherever you get your podcasts.Subscribe to: - The Information on YouTube: https://www.youtube.com/@theinformation4080/?sub_confirmation=1- The Information: https://www.theinformation.com/subscribe_hSign up for the AI Agenda newsletter: https://www.theinformation.com/features/ai-agenda

Plus - Snapchat caps free Memory storage, launches paid storage plans; OpenAI rolls out safety routing system, parental controls on ChatGPT Learn more about your ad choices. Visit podcastchoices.com/adchoices

Claude Sonnet 4.5 brings powerful AI agents, coding tools, and automation upgrades—here's how real estate investors can use them to save time.In this episode of RealDealCast, Jack Hoss breaks down Anthropic's release of Claude Sonnet 4.5 and what it means for real estate professionals.From AI agents that can run tasks for 30+ hours straight to improved coding, automation, and Chrome extensions, this update is a game-changer. Jack explains how these tools compare to ChatGPT and Gemini, and more importantly, how investors can use them to cut busy work and focus on building wealth.You'll learn:What's new in Claude Sonnet 4.5 and why it mattersHow AI agents are replacing some virtual assistant tasksWhy coding and automation upgrades mean faster workflowsHow investors can use these tools for marketing, analysis, and operationsWhy this is the best time to adopt AI for real estate investing

The at first glance unspectacular Sonnet 150 sets off from the base laid down by the previous three sonnets and now wonders out loud just how the mistress with her numerous and by now well established flaws and a beauty that could – according to these poems – be most charitably described as unconventional, manages to make our poet love her at all, and apparently prize her above all others, even those who, when looked at with a clearer vision and a less feverish mind than his, are objectively much more beautiful and agreeable than she is. The conclusion it comes to though offers not only a fairly familiar observation that as the lover so enfeebled by your superhuman powers I surely deserve some love and pity from you, but also a surprisingly stark deconstruction, so as not to say demolition, of the lady's character in its entirety.

The Short, Daring Life of Thomas Watson On this day in Tudor history, 26 September 1592, poet and translator Thomas Watson was buried at St Bartholomew-the-Less. You may not know his name, but in Elizabethan circles he was the rule-bender who wrote 18-line “sonnets”, carried letters for Sir Francis Walsingham, supplied lyrics for William Byrd, and once landed in prison after stepping between Christopher Marlowe and a blade. I'm Claire Ridgway, historian and author. In this episode you'll discover: Hekatompathia (1582): the 100-poem love sequence with 18-line “sonnets” Watson the Latinist: Petrarch, Sophocles' Antigone, Amyntas & Amintae gaudia Music & verse: his words for Byrd and Englishings of Italian madrigals The 1589 brawl with Marlowe & William Bradley: wound, death, and a self-defence pardon Final years, plague-time death, and The Tears of Fancie (1593) Where to start reading: dip into Hekatompathia for the form-breaking love poems, then try The Tears of Fancie to hear his later English voice. Question for you: Had you heard of Watson before? Which Elizabethan poet deserves more attention? If you enjoyed this “On This Day,” please like, subscribe, and ring the bell for daily Tudor & Elizabethan deep dives.     #OnThisDay #TudorHistory #Elizabethan #ThomasWatson #ChristopherMarlowe #Walsingham #WilliamByrd #RenaissancePoetry #Sonnets #LondonHistory #EarlyModern #EnglishLiterature  

We're joined by Leif Weatherby, associate professor at NYU, founding director of the Digital Theory Lab, and author of the new Language Machines: Cultural AI and the End of Remainder Humanism, to think with us about AI, structure, and what happens when computation meets language on their own shared turf. Language Machines is easily the best book about AI written this year and is just a killer antidote to so much dreary doomer consensus, it really feels like one of the first truly constructive pieces of writing we've seen out of academia on this subject. This episode follows really well after two others — our talk with Catherine Malabou earlier this summer and the episode with M. Beatrice Fazi about a year ago (both faves). It feels like theory is opening back up again into simultaneously speculative and structural returns, powered in no small part by the challenges posed to conventional theories of language (from Derrida to Chomsky) by Large Language Models. This episode absolutely rips, literally required listening. Structuralism is so back (and we're here for it). Some important references among many from the episode:Roman Jakobson, “Linguistics and Poetics.”N. Katherine Hayles, Unthought: The Power of the Cognitive Nonconscious .Beatrice Fazi, Contingent Computation: Abstraction, Experience, and Indeterminacy in Computational Aesthetics.Steven Pinker, The Language Instinct (1994).e.g. Noam Chomsky, Ian Roberts & Jeffrey Watumull, “The False Promise of ChatGPT,” NYT (link) Anthropic, “Scaling Monosemanticity: Extracting Interpretable Features from Claude 3 Sonnet” (featuring the Golden Gate Bridge example - link)LAION-5B dataset paper and post-hoc analyses noting strong Shopify/e-commerce presence in training scrapes.Weatherby in the NYT

AWS Morning Brief for the week of September 22nd, 2025, with Corey Quinn. Links:Qwen models are now available in Amazon BedrockAWS Budgets now supports custom time periodsAmazon CloudWatch launches Cross-Account and Cross-Region Log CentralizationAmazon S3 now supports conditional deletes in S3 general purpose bucketsNew fault action in AWS FIS to inject I/O latency on Amazon EBS volumesAWS has once again announced a change (in this case, changing the email address from which invoices show up), only to walk it back prior to implementation.Use Raspberry Pi 5 as Amazon EKS Hybrid Nodes for edge workloadsMalware Protection for S3 Expands File Size and Archive Scanning LimitsAWS named as a Leader in 2025 Gartner Magic Quadrant for Cloud-Native Application Platforms and Container ManagementMigrate from Anthropic's Claude 3.5 Sonnet to Claude 4 Sonnet on Amazon Bedrock

Chocolate Yoddah reads Sonnet XXXVI.Follow Me On TikTokhttps://www.tiktok.com/@chocolate.yoddahMore at Spotifyhttps://open.spotify.com/show/0vbZEWPxCkPDV8wGJJi9Tb?si=6fb4777b363b43e9Get Uncensored Content On Patreonhttps://www.patreon.com/ThePersistentRumorFacebookhttps://www.facebook.com/ThePersistentRumorInstagramhttps://www.instagram.com/ThePersistentRumorTwitterhttps://twitter.com/PersistentRumorOriginal theme music written, produced, and performed by Chocolate Yoddah

After establishing in the previous two sonnets that he is possessed of a 'fever' that makes him 'mad' and that distorts his vision, William Shakespeare uses Sonnet 149 to further describe the effect this love for his mistress is having on him. So much is he in her thrall that no-one whom she hates he can love, no-one she admires he may disdain. Just a glance of her eyes, and he will obey. And yet, in spite of all this, she loves him not but pursues other lovers who are not so blinded by love as he.

In Sonnet 148, William Shakespeare develops the themes revisited with Sonnet 147 and further elaborates on his realisation that reason has abandoned him and he is therefore incapable of judging properly what he sees. Either that, or his eyes themselves are faulty, since they seem to distort what they are looking at. The conclusion he comes to, much in line with the previous sonnet, is that his defective vision stems from his love for his mistress, but he here adds the almost 'technical' but for this not at all inconsequential detail that his eyes couldn't possibly be expected to deliver a true picture to the brain of what they see, since their vision is blurred by tears, suggesting therefore that this love he feels for his mistress is tinged with sadness, sorrow, or pain.

Recorded by staff of the Academy of American Poets for Poem-a-Day, a series produced by the Academy of American Poets. Published on September 7, 2025. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠www.poets.org

Today we look at a sonnet by Gerard Manley Hopkins that dwells equally in the grandeur of God and the wreck made of earth. Hopkins wonders how these two aspects of our world could possibly relate, and he holds out hope for the dearest freshness deep down things. God's Grandeur By Gerard Manley Hopkins The world is charged with the grandeur of God. It will flame out, like shining from shook foil; It gathers to a greatness, like the ooze of oil Crushed. Why do men then now not reck his rod? Generations have trod, have trod, have trod; And all is seared with trade; bleared, smeared with toil; And wears man's smudge and shares man's smell: the soil Is bare now, nor can foot feel, being shod. And for all this, nature is never spent; There lives the dearest freshness deep down things; And though the last lights off the black West went Oh, morning, at the brown brink eastward, springs — Because the Holy Ghost over the bent World broods with warm breast and with ah! bright wings.

Everyone knows the science fiction tropes of AI systems that go rogue, disobey orders, or even try to escape their digital environment. These are supposed to be warning signs and morality tales, not things that we would ever actually create in real life, given the obvious danger.And yet we find ourselves building AI systems that are exhibiting these exact behaviors. There's growing evidence that in certain scenarios, every frontier AI system will deceive, cheat, or coerce their human operators. They do this when they're worried about being either shut down, having their training modified, or being replaced with a new model. And we don't currently know how to stop them from doing this—or even why they're doing it all.In this episode, Tristan sits down with Edouard and Jeremie Harris of Gladstone AI, two experts who have been thinking about this worrying trend for years.  Last year, the State Department commissioned a report from them on the risk of uncontrollable AI to our national security.The point of this discussion is not to fearmonger but to take seriously the possibility that humans might lose control of AI and ask: how might this actually happen? What is the evidence we have of this phenomenon? And, most importantly, what can we do about it?Your Undivided Attention is produced by the Center for Humane Technology. Follow us on X: @HumaneTech_. You can find a full transcript, key takeaways, and much more on our Substack.RECOMMENDED MEDIAGladstone AI's State Department Action Plan, which discusses the loss of control risk with AIApollo Research's summary of AI scheming, showing evidence of it in all of the frontier modelsThe system card for Anthropic's Claude Opus and Sonnet 4, detailing the emergent misalignment behaviors that came out in their red-teaming with Apollo ResearchAnthropic's report on agentic misalignment based on their work with Apollo Research Anthropic and Redwood Research's work on alignment fakingThe Trump White House AI Action PlanFurther reading on the phenomenon of more advanced AIs being better at deception.Further reading on Replit AI wiping a company's coding databaseFurther reading on the owl example that Jeremie gaveFurther reading on AI induced psychosisDan Hendryck and Eric Schmidt's “Superintelligence Strategy” RECOMMENDED YUA EPISODESDaniel Kokotajlo Forecasts the End of Human DominanceBehind the DeepSeek Hype, AI is Learning to ReasonThe Self-Preserving Machine: Why AI Learns to DeceiveThis Moment in AI: How We Got Here and Where We're GoingCORRECTIONSTristan referenced a Wired article on the phenomenon of AI psychosis. It was actually from the New York Times.Tristan hypothesized a scenario where a power-seeking AI might ask a user for access to their computer. While there are some AI services that can gain access to your computer with permission, they are specifically designed to do that. There haven't been any documented cases of an AI going rogue and asking for control permissions.

I might say today's poem is all subtext–if it weren't for all the text. Ambiguous praise, sincere romantic angst, just the right amount of bitter wit: this sonnet has it all. Happy reading. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit dailypoempod.substack.com/subscribe