Podcasts about sonnets

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.

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!

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

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

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

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.

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.

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

AI Daily Rundown: September 30, 2025: Your daily briefing on the real world business impact of AI

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.

Sarah Spring (or “Dame Sarah” to those close to her!) is an actor, coach and Shakespeare enthusiast. She shares her knowledge of The Bard across Instagram, TikTok and even on Amazon with a link to her Storefront, full of recommendations of books to help sharpen your knowledge of Shakespeare. She trained at Interlochen Arts Academy and Fordham University at the Lincoln Center. As an actress she has tackled most of Shakespeare's cannon, a few of her favourites include:Beatrice, Much Ado About NothingIsabella, Measure for MeasureHermione, Winter's TaleViola, Twelfth NightRegan, King LearAnd Lady MacbethHer brand new film, now on the short film circuit in the states, “A King's Curtain”, starring Austin Pendleton, Stephen McKinley Henderson and Charles E.Gerber, just won Best Drama at the LA International Short Film Festival. There is no stone left unturned in Sarah's work. From the original pronunciation of possessive noun endings, the difference between you and thou, the meaning of character's names, trochaic tetrameter, verse vs prose, monologues vs soliloquies and how ultimately, Shakespeare belongs to you!Her various platforms (links below) are filled with helpful and accessible methods into the more complex and interesting areas of Shakespeare, especially those we didn't think to look at in the first place. Check out her socials and reading list for more facts and inspiring content. Also if you're looking for 1:1 sessions to help prepare for an audition or academic assignment you can book those via the link below. As well as follow her across her various platforms for regular updates, facts and topics. Helping you to ENJOY Shakespeare and see his work for what it is. Astonishing, vivid, timeless, beyond beautiful, beyond clever, just the best writing you will read and speak. Thanks so much Sarah! Here's to next time!Oliver GowerSpotlight Link: https://www.spotlight.com/9097-9058-5261Instagram: @ollietheuncensoredcriticFor enquiries and requests: olliegower10@gmail.comPlease Like, Download and Subscribe ✍️Thank you all for your support!Music from #InAudio: https://inaudio.org/ Track Name. Early Morning The Uncensored Critic Podcast was heard in over 34 countries in 2024. In the same year streams grew by 39%, listeners increased by 30%, brand new listeners were up by 88% and followers were up 136%. The show has an average rating of 5/5 Stars. Official stats from #SpotifyWrapped 2024. Sarah's Links:FREE GUIDE/Shakespeare's Verse:stan.store/ShakespeareMadeClear/p/get-my-free-guide-to-unlocking-shakespeares-verseTikTok:tiktok.com/@shakespearemadeclear?is_from_webapp=1&sender_device=pcBook One-on-One Coaching:stan.store/ShakespeareMadeClear/p/private-coaching-with-dame-sarahInstagram:instagram.com/shakespearemadeclearAmazon Storefront:amazon.com/shop/shakespearemadeclear?ref_=cm_sw_r_cp_ud_aipsfsho

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.

Chocolate Yoddah reads Sonnet XXXV by William Shakespeare.Follow Me On TikTokhttps://www.tiktok.com/@chocolate_yoddahGet 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

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

In Sonnet 147, William Shakespeare brings together two themes that have agitated him before: firstly the at the time fairly commonplace notion of love – and, more to the point, desire – as a disease that weakens the mind to the point of an irrational madness and afflicts the body in a similarly stark fashion, and secondly the ways in which his mistress deviates from the ordinarily praised ideal of beauty. The sonnet therefore returns the series firmly and identifiably to the 'Dark Lady' and the effect she is having on our poet in an unequivocally physical manner, leaving behind the reflections on the soul of the previous sonnet and concerning itself once more with his lust for someone he knows – or at the very least declares – to be neither traditionally beautiful nor morally sound.

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.

With his solemn, near pious, Sonnet 146, William Shakespeare for the first and only time speaks directly to his soul and entreats it to look after itself; to stop expending its energy on the pursuit of outward, physical adornments which are all doomed to swift decay – effectively starving and weakening itself whilst feeding and strengthening the gluttonous body that is only meant to house it and that will soon succumb to death – and to instead let go of material riches and with the 'return' from 'selling' them, 'purchase' something infinitely more valuable: eternal life in concord with, and on the terms ordained by, God.The poem makes no mention, nor does it allude to or reference indirectly, any lover, mistress, or wife, nor love itself, or sex. This, too, makes it unique in the collection. As does its close alignment with a Christian notion of redemption through spiritual nurture at the expense of, and in preference to, physical or material gratification. 

Sonnet 145 stands out in the collection for several reasons. Some factual, some conjectural, some somewhere in-between. Most obviously and beyond interpretation evident is the fact that it is the only poem composed in iambic tetrameter: it consists of 14 lines of eight syllables each, in contrast to the iambic pentameters present in all the other sonnets, giving each line of those ten or eleven syllables.Also still difficult to dispute, though already in the realm of opinion, is the observation, so as not to say contention, put forward by many scholars and commentators, that the sonnet is poetically, stylistically, literarily 'slight': it strikes a simple tone, uses some extremely familiar imagery and analogy, and is, as far as we can tell, mostly devoid of the high level compositional and rhetorical devices used in many of the other, 'regular', sonnets.Pure supposition, though intelligent and fully valid as a suggestion, is the idea that the sonnet puns on the name Hathaway and is therefore not about the Dark Lady or any other mistress, but about Shakespeare's wife, Anne; and even more adventurous is the conjecture drawn from it that therefore the poem be an early stab of Shakespeare's at as-yet-imperfect sonneteering: there is absolutely no proof that this is so, and it is just as conceivable that Shakespeare with Sonnet 145 deliberately and most intentionally not only employs a different format but also aims for a categorically different tone.

Start Artist Song Time Album Year 0:00:15 Majestica 0:46 0:01:02 Majestica Megatrue 5:34 Power Train 2025 0:06:36 Pentesilea Road 1:04 0:07:40 Pentesilea Road Solitary Walk 5:11 Sonnets from the Drowsiness 2025 0:12:51 Dream Theater 0:42 0:13:33 Dream Theater Night Terror 9:50 Parasomnia 2025 0:23:23 Gojira 0:46 0:24:09 Gojira The Chant 5:05 Fortitude 2021 0:29:14 Stratovarius […]

With his exceptionally explicit and startlingly revelatory Sonnet 144 William Shakespeare addresses head on the fact that his mistress and his lover are certainly friends, and that he suspects – rather strongly, we get the impression – them to be so with benefits.By identifying the man as 'right fair' and contrasting him with a woman who is 'coloured ill', he confirms what we have long thought to be the case: this is a constellation that has turned triangular, and it involves these precise three individuals, the poet, his younger male lover, the Fair Youth of the first 126 sonnets in the collection, and the Dark Lady around whom 25 of the remaining 28 sonnets revolve. This rather puts paid to the suggestion espoused by some scholars that these sonnets can or let alone should be read in isolation, that no narrative of any kind should ever be deduced from them, or that they may have been written to and about any number of lovers of any gender over the period of their composition. What Sonnet 144 shows beyond anything that might still be considered reasonable doubt, and much in line with Sonnets 33 through 42 in the Fair Youth section and Sonnets 133 and 134 in this, the Dark Lady section of the collection, is that these two groups of poems overlap, that they concern themselves with the same 'two loves' of Shakespeare's, and that our poet is profoundly disturbed by the fact that, as he sees and presents it, his mistress has seduced his young man.

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

With his uncharacteristically lighthearted Sonnet 143, William Shakespeare plants a picture in our minds of the poet as a crying toddler placed on the ground while his mother is running after a wayward chicken, and expresses his hope, not unreasonable in the imagined circumstances, that the mother, once she has caught the bird she's chasing, will come back to him and comfort him with her affection and her love.It's an unusual simile to say the least: not because it is complex or difficult to visualise – in fact the opposite – but because it departs from virtually all and any traditional or even just, one might argue, advisable comparison for a lover to invoke: rare is the Lothario who impresses his mistress by likening himself to her babe. And it continues to expressly accept the fact that this woman has other men whom she actively pursues. In this case, it would appear, one particular other man, who in this oddly farcical setup is assigned the role of the runaway cockerel.

Dans cet épisode, Christophe Paco et Lisa Kamen explorent les règles du sonnet, un poème de 14 vers. Ils discutent des quatrains et tercets, des rimes embrassées et de l'alternance entre rimes féminines et masculines. Clément Marot, qui a introduit le sonnet en France, est mentionné, ainsi que des poètes comme Baudelaire et Rimbaud qui ont défié ces règles. Retrouvez l'épisode sur RTL.fr et en podcast.Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

With Sonnet 142 William Shakespeare picks up on the notion of 'sin' employed in the last line of the previous sonnet, and now juxtaposes this sin or sinful love of his for his mistress with her supposed 'virtue' in rejecting this love for being sinful, while simultaneously undermining any suggestion that she is in fact virtuous by asking her to just take a long, hard look at herself and her own behaviour, from which she will readily recognise that it is just as bad, if not in fact much worse.The sonnet thus continues the poet's double-edged approach to wooing his mistress, by on the one hand expressing his wish to have sex with her, while on the other hand also mildly rebuking her for having sex with other men, or, to be more precise, while refusing to be rebuked by her for wanting to have sex with her, when she herself is liberally sleeping around.

Sonnet 141 is one of several poems in the collection that show William Shakespeare to be deeply ill at ease with his lust and his love for his mistress. It may easily be argued that all of the Dark Lady Sonnets come over with a greater or lesser degree of ambiguity, with her appearance, her comportment, her smell, her touch, her sound, and most certainly her fidelity, all having either been brought into question or downright decried. Sonnet 141 does all of the above, summarising these 'thousand errors' his mistress appears to possess and laying them out as a supposedly sensual feast, the like of which he has no appetite for. Yet he still finds his foolish heart drawn to her, and for this, he concludes, he must suffer the pain that he appears to accept as his – perhaps in a somewhat perverse way – due reward.

In this special episode, Phyllis Rackin, Professor Emerita of English from the University of Pennsylvania in Philadelphia and former president of the Shakespeare Association of America talks to Sebastian Michael about the position of women in Elizabethan society, about William Shakespeare's relationship with the women in his life, and about what we can and cannot know specifically of the Dark Lady in his Sonnets.

Our 215th episode with a summary and discussion of last week's big AI news! Recorded on 07/04/2025 Hosted by Andrey Kurenkov and Jeremie Harris. Feel free to email us your questions and feedback at contact@lastweekinai.com and/or hello@gladstone.ai Read out our text newsletter and comment on the podcast at https://lastweekin.ai/. In this episode: Cloudflare's new AI data scraper blocking feature, its potential implications, and technical challenges Meta's aggressive recruitment for its Super Intelligence Labs division is covered, highlighting key hires from OpenAI and other leaders in the field Anthropic loses significant talent to Cursor, with details on their new economic futures program focusing on AI's impact on the labor market Notable open-source AI model releases from Baidu and Tencent are also discussed, including their performance metrics and potential applications. Timestamps + Links: (00:00:11) Intro / Banter (00:01:43) News Preview Tools & Apps (00:02:55) Cloudflare Introduces Default Blocking of A.I. Data Scrapers (00:05:44) Runway is going to let people generate video games with AI (00:11:24) Google embraces AI in the classroom with new Gemini tools for educators, chatbots for students, and more (00:16:23) No one likes meetings. They're sending their AI note takers instead. (00:18:08) Google launches Doppl, a new app that lets you visualize how an outfit might look on you (00:19:14) Google's Imagen 4 text-to-image model promises 'significantly improved' boring images Applications & Business (00:22:18) Mark Zuckerberg announces his AI ‘superintelligence' super-group (00:29:35) Anthropic Revenue Hits $4 Billion Annual Pace as Competition With Cursor Intensifies (00:35:10) As job losses loom, Anthropic launches program to track AI's economic fallout (00:38:04) OpenAI says it has no plan to use Google's in-house chip (00:41:08) Nvidia stakes new startup that flips script on data center power (00:44:11) TSMC Arizona Chips Are Reportedly Being Flown Back to Taiwan For Packaging; U.S. Semiconductor Supply Chain Still Remains Dependent on Taiwan Projects & Open Source (00:46:57) Baidu releases open source model family ERNIE 4.5 (00:51:55) Tencent Open Sources Hunyuan-A13B: A 13B Active Parameter MoE Model with Dual-Mode Reasoning and 256K Context (00:57:09) Together AI Releases DeepSWE: A Fully Open-Source RL-Trained Coding Agent Based on Qwen3-32B and Achieves 59% on SWEBench (01:00:11) GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning (01:04:10) DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation Research & Advancements (01:06:21) Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search (01:13:07) The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements (01:18:04) Claude 4 Opus and Sonnet reach 50%-time-horizon point estimates of about 80 and 65 minutes, respectively (01:21:37) Performance Prediction for Large Systems via Text-to-Text Regression (01:25:38) Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning (01:26:33) Correlated Errors in Large Language Models Policy & Safety (01:29:04) Forecasting Biosecurity Risks from LLMs (01:36:06) AI Task Length Horizons in Offensive Cybersecurity (01:42:30) Inside Tech's Risky Gamble to Kill State AI Regulations for a Decade (01:52:56) Denmark to tackle deepfakes by giving people copyright to their own features

In this conversation, Sonnet Daymont, a licensed marriage and family therapist, discusses her journey into trauma therapy, the principles of feminist theory in psychotherapy, and her upcoming book, 'When Dangerous Feels Like Home.' She explores the importance of EMDR and CBT in healing trauma, the psychological patterns of cult hopping, and the significance of recognising red flags in relationships. Sonnet emphasises the role of shame and intimidation in coercive control and offers advice for trauma survivors, while also addressing how the media can better represent trauma and its survivors.HOME | Sonnet Daymont | Therapist near me | 1000 Fremont Ave, South Pasadena, CA 91030, USANORTH EAST TRUE CRIME FORUM - New Home | North East True CrimGet in Touch or Support: Patreon - patreon.com/thecultvaultCrimecon UK 2025 https://www.crimecon.co.uk - use code CULT for 10% off tickets!Instagram: https://www.instagram.com/cultvaultpod/Twitter: https://twitter.com/CultVaultPodReddit: https://www.reddit.com/user/Cult-VaultGmail: cultvaultpodcast@gmail.com

By Terrance Hayes

Apple's new AI paper says advanced AI thinking is an "illusion."Is this a groundbreaking scientific discovery?Or is it a cynical, weaponized piece of marketing dropped the weekend before WWDC to hide the fact that Apple is catastrophically behind in the AI race?We read the paper so you don't have to.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Have a question? Join the convo here.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:Apple's Viral Illusion of Thinking PaperCritique of Apple's AI Research MethodologyApple's AI Deception and Flawed LogicStrategic Corporate Propaganda in AI ResearchApple's $2 Trillion AI Market LossAI Reasoning Models Tool Use RestrictionsTower of Hanai and Token LimitationsApple Research's Industry Skepticism StrategyTimestamps:00:00 Daily AI Insights & Growth04:32 "Evaluating AI: Illusion of Thinking"08:30 "Apple's AI Papers: $2 Trillion Dilemma"11:23 Apple's Missed $2 Trillion Opportunity15:06 Apple's AI Oversight: Massive Blunder18:55 PhD AI Research: Industry Influence21:43 Apple Challenges AI Test Validity26:15 AI Model Testing Complexity29:16 "The Challenge of Complex Puzzles"33:10 AI Testing Limits: A Designed Failure36:45 Questioning Study Methodology37:54 iPhone SOS Satellite Test Fails41:29 Flawed Report Undermines Credibility46:18 "Corporate Strategy Masked as Research"50:25 Apple's Controversial Stance on ResearchKeyword:Apple's illusion of thinking, Apple's AI research paper, AI reasoning models, large reasoning models, strategic deception, cherry picked science, weaponized research, flawed logic, cherry picked testing, all or nothing grading, Apple's marketing tactics, Apple vs. Microsoft, Apple's AI failures, WWDC conference, Apple's intelligence, Ajax model, Apple's AI spending, Apple's competition, generative AI, Microsoft, Google, OpenAI, code usage restriction, token output limits, reasoning collapse, AI's reasoning limitations, Tower Of Hanai, reasoning lab, Claude 3.7 SONNET, DeepSeek, thinking models, chain of thought processing, corporate propaganda, premeditated media strike, fear, uncertainty, doubt, strategic media strike, data contamination, Apple's research credibility, research methodology, scientific integrity.Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info) Try Google Veo 3 today! Sign up at gemini.google to get started. Try Google Veo 3 today! Sign up at gemini.google to get started.