This Week in AI

Jason Calacanis
  • 5.0(7개의 평가)
  • 과학 기술
  • 매일 업데이트

An experts-only AI podcast: Think the 'All In' podcast for AI. Jason + 3 CEO-level experts breaking down the news & trends.

  1. Cursor's $60B Deal, DeepSeek V4 & the Death of the AI Moat | This Week in AI E11

    2일 전

    Cursor's $60B Deal, DeepSeek V4 & the Death of the AI Moat | This Week in AI E11

    This week Jason sits down with three founders at the frontier of AI infrastructure, software development, and vertical AI: Matan Grinberg, co-founder and CEO of Factory; Russ d'Sa, co-founder and CEO of LiveKit; and George Sivulka, founder and CEO of Hebbia. They break down why AI coding agents are more powerful than vibe coding, how voice became the default interface for AI, why LLMs are becoming commoditized like RAM, and what it actually takes to build a moat in 2026. Mentioned in the show: Factory: https://factory.aiLiveKit: https://livekit.ioHebbia: https://hebbia.comCursor: https://cursor.comDeepSeek V4: https://deepseek.comSpaceX / xAI: https://x.aiPolymarket (Cursor acquisition odds): https://polymarket.com/event/will-spacex-acquire-cursorLM Arena (model benchmarks): https://lmarena.aiSWE-bench (coding benchmarks): https://swebench.comSilicon Valley HBO clip (Son of Anton): https://www.youtube.com/watch?v=m0b_D2JgZgY This Week In AI is made possible by: PayPal Open - One Platform for all Business: https/:/paypalopen.com/ Timestamps: 00:00 Intro & AGI debate: where are we really? 02:26 Meet the guests: Matan Grinberg, Russ d'Sa, George Sivulka 03:30 Factory's mission: bringing autonomy to software engineering 04:29 LiveKit's origin: open source WebRTC to ChatGPT voice backbone 07:40 Learned helplessness and the raptor fence: a founder story 10:31 Hebbia: financial superintelligence for capital markets 13:21 SpaceX acquiring Cursor for $60B: the deal breakdown 17:28 Why enterprises can't standardize on one model provider 21:50 The Silicon Valley clip: when AI deletes all the software 23:09 How AI coding tools have changed internal dev workflows 26:28 Moats in the age of vibe coding: what actually protects you 30:12 The relentless iteration promise as a company's core moat 33:40 Slack example: the buy vs. build calculation in 2026 38:10 Deterministic agents and encoding institutional expertise 41:17 LLMs as commoditized infrastructure: where value pools 45:56 DeepSeek V4 drops mid-episode: $3.48 vs. Claude's $25 50:13 AI in financial markets: arbitrage, meme stocks, and ASI 56:58 China blocks Metas acquisition, OpenAI-Microsoft deal redux 58:41 AGI definitions and who wins the US vs. China model race 01:02:13 US open source embarrassment and the talent war 01:05:23 OpenAI's spend vs. revenue: risk of ruin or name of the game? 01:09:14 Apple's new CEO, M-series compute flood, and space data centers 01:12:08 P-doom scores and final thoughts Subscribe to This Week in AI on Apple: https://thisweekinai.ai/apple Subscribe to This Week in AI on Spotify: https://thisweekinai.ai/spotify Follow Jason: X: https://twitter.com/Jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis Follow Oliver: https://x.com/oliverkorzen Check out all our partner offers: https://partners.launch.co/

    1시간 14분
  2. Aravind Srinivas & Edwin Chen: The $1B Bootstrap, Apple's AI Edge, and Benchmarks | TWiAI E10

    4월 23일

    Aravind Srinivas & Edwin Chen: The $1B Bootstrap, Apple's AI Edge, and Benchmarks | TWiAI E10

    This week we sat down with Aravind Srinivas and Edwin Chen. Aravind is the co-founder and CEO of Perplexity, whose revenue has grown from $100M to $500M on the back of Perplexity Computer. Edwin is the co-founder and CEO of Surge AI, the data training company teaching frontier models how to think, which quietly bootstrapped past $1B in revenue without ever raising a dollar. This Week In AI is made possible by: PayPal Open - One Platform for all Business: https://paypalopen.com/ Timestamps: 00:00 Cold open 01:00 Welcome & intro to Aravind Srinivas and Edwin Chen 02:40 Why Perplexity Comet and Perplexity Max are taking off 05:25 Edwin on Surge AI and why "data labeling" is the wrong term 10:47 Tim Cook steps down — what Apple's new CEO should do 13:56 Owning your agent loops: why Apple wins 21:20 "The iPhone is not getting disrupted by AI at all" 23:09 $242B raised in Q1 2026 and the late-stage capital flood 23:55 Edwin on bootstrapping Surge past $1B without raising 25:09 The ChatGPT "one weird trick" story and clickbait models 30:58 Claude Code as a loss leader to dominate token collection 33:30 Are we in the endgame for coding? 35:35 Autocomplete to auto-diff to auto-outcomes 38:54 The death of the no-code movement 41:34 30% headcount growth, 5x revenue, the efficiency playbook 45:41 AI in Hollywood, Gal Gadot, and $70M movies that should cost $200M 50:29 "People don't buy models, they buy products" 57:20 Specialization vs commoditization — what actually accrues value58:00 "LM Arena is a cancer on AI" 63:34 Perplexity's heuristics for measuring user intent65:41 Model Council, Jensen Huang, and orchestrating frontier models 71:23 Most impressive AI experiences — WhisperFlow, Grok on X, Claude Design, and WHOOP 78:29 Hiring at Surge AI and Perplexity Subscribe to This Week in AI on Apple:https://thisweekinai.ai/apple Subscribe to This Week in AI on Spotify:https://thisweekinai.ai/spotify Follow Jason: X: @jason LinkedIn: /jasoncalacanis Check out all our partner offers: https://partners.launch.co/ Links Mentioned on the Show: Perplexity: https://perplexity.ai/ Surge AI: https://surge.ai/ Perplexity Comet: https://comet.perplexity.ai/ Perplexity Max: https://perplexity.ai/max Claude Code: https://claude.com/product/claude-code Claude Design: https://claude.com/claude-design OpenAI Codex: https://openai.com/codex GitHub Copilot: https://github.com/features/copilot Cursor: https://cursor.com/ LM Arena: https://lmarena.ai/ Kimi K2: https://www.kimi.com/ DeepSeek: https://www.deepseek.com/ Apple Silicon: https://www.apple.com/mac/m4/ WhisperFlow: https://wisprflow.ai/ WHOOP: https://www.whoop.com/

    1시간 20분
  3. The Future of AI: Personal Agents, Taste & Private Data | Lin Qiao & Demi Guo | E9

    4월 15일

    The Future of AI: Personal Agents, Taste & Private Data | Lin Qiao & Demi Guo | E9

    This week we sit down with Lin Qiao and Demi Guo on This Week in AI Episode 9. Lin is the co-founder and CEO of Fireworks AI, a frontier inference platform processing tens of trillions of tokens per day, built by seven ex-Meta engineers who created PyTorch. Demi is the co-founder and CEO of Pika, building humanized AI agents for creative work, agents you interact with like a person, not a prompt box. This Week In AI is made possible by: PayPalOpen - One Platform for all Business: https://paypalopen.com/ Timestamps: 00:00 Welcome & intro to Lin Qiao and Demi Guo 02:38 Lin's journey from Meta to Fireworks AI 05:13 Building PyTorch and bootstrapping AI infrastructure 06:58 Who Fireworks competes with and why enterprises need it 08:43 Activating the 95% of private data locked in enterprises 11:31 Demi's journey building Pika and the pivot to humanized agents 16:03 The best interface for creation is a human-like agent 16:42 The AI layoff trap — a prisoner's dilemma for firms 19:00 Cambrian explosion of startups and the hobbyist-to-inventor pipeline 22:07 Flattening organizations and the death of middle management 28:03 Taste, judgment, and why "slop" is the real risk 31:22 Why agents drift and the case for constant iteration 33:40 Rethinking agents: not tools, but children you raise 39:36 How close are open-source models to frontier? 43:20 Token usage and the economics of running agents 46:15 Toys becoming tools — the hobbyist signal 48:59 Public perception of AI: America vs. China vs. Silicon Valley 53:04 Agents as self-expression and identity creation 57:06 The expert vs. public perception gap on AI's impact 63:17 Meta's Muse model and the open-source debate 68:26 Data drought, synthetic data, and the next architecture leap 72:06 Hiring at Fireworks AI and Pika Subscribe to This Week in AI on Apple: https://thisweekinai.ai/spotify Subscribe to This Week in AI on Spotify: https://thisweekinai.ai/apple Follow Jason: X: https://twitter.com/Jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis Follow Oliver: https://x.com/oliverkorzen Check out all our partner offers: https://partners.launch.co/ Links Mentioned on the Show: Fireworks AI: https://fireworks.ai/ Pika: https://pika.art/ PyTorch: https://pytorch.org/ "The AI Layoff Trap" paper (UPenn & Boston University): https://arxiv.org/abs/2603.20617 Fortune: CFOs say AI cuts will be 9x bigger than reported: https://fortune.com/2026/03/24/cfo-survey-ai-job-cuts-productivity-paradox-2026/ HBR: Companies firing based on AI potential, not performance: https://hbr.org/2026/01/companies-are-laying-off-workers-because-of-ais-potential-not-its-performance New Yorker profile on Sam Altman (Ronan Farrow): https://techcrunch.com/2026/04/11/sam-altman-responds-to-incendiary-new-yorker-article-after-attack-on-his-home/ Sam Altman home attack: https://www.cnbc.com/2026/04/10/sam-altman-house-hit-with-molotov-cocktail-openai-office-threatened.html Block layoffs — Jack Dorsey cites AI: https://fortune.com/2026/02/27/block-jack-dorsey-ceo-xyz-stock-square-4000-ai-layoffs/ Pew Research — AI experts vs. public perception: https://www.pewresearch.org/internet/2025/04/03/how-the-us-public-and-ai-experts-view-artificial-intelligence/ Meta Muse Spark announcement: https://ai.meta.com/blog/introducing-muse-spark-msl/ DeepSeek V3: https://github.com/deepseek-ai/DeepSeek-V3 Bubble Pal AI toy (Shenzhen): https://www.prnewswire.com/news-releases/hugging-every-fun-thought-haivivi-unveils-the-worlds-first-aigc-toy-bubblepal-302209714.html Cursor (Composer): https://cursor.sh/ NVIDIA Nemotron: https://developer.nvidia.com/nemotron Qwen (Alibaba): https://qwenlm.github.io/ Mistral AI: https://mistral.ai/

    1시간 14분
  4. What's Left for Humans When AI Builds Everything?

    4월 8일

    What's Left for Humans When AI Builds Everything?

    This week on TWiAI, Jason sits down with three founders at the center of the AI stack: Kanjun Qiu (CEO of Imbue), Carina Hong (CEO of Axiom), and Jonathan Siddharth (CEO of Turing). They break down Anthropic's explosive $30B run rate, why it just overtook OpenAI in revenue, Meta's bizarre internal token-burning leaderboard, and what happens when every person on Earth has 100 AI agents running for them. Anthropic's Revenue Explosion: Anthropic hit a $30B run rate, up from $9B just six months ago, and appears to have overtaken OpenAI in token sales. The panel breaks down where the money is coming from and why Meta might be the biggest customer.Meta's Token-Burning Leaderboard: Reports surfaced of an internal Meta contest rewarding teams for burning the most tokens, with employees building bots that loop just to rack up usage. Is it brilliant adoption strategy or pure waste?Open Source Agents vs. Lock-In: Kanjun argues that handing your entire business, memories, and workflows to closed AI platforms is a recipe for lock-in. She's building open agent infrastructure so users can swap models freely and own their data.OpenAI's Identity Crisis: The panel dissects OpenAI's dropped Disney deal, its $100B+ raise, internal CFO tensions, and whether the company is doing too many side quests while Anthropic eats its lunch.The Commodification of Developers: A year ago, the debate was whether AI makes developers 5% or 15% more efficient. Now the question is whether everyone is a developer, and what that means for the industry.Why Open Source Must Win: From Apple Silicon to local models, the case for owning your AI stack and why Jason is going all-in on open source hardware and software. Learn more about Imbue: https://imbue.com Learn more about Axiom: https://axiommath.ai Learn more about Turing: https://www.turing.com This Week In AI is made possible by: PayPalOpen - One Platform for all Business: https://paypalopen.com/ Timestamps: 00:00 Cold open 01:03 Welcome and intro to this week's panel 01:31 Kanjun Qiu on open source agents and Imbue 05:10 Carina Hong on building an AI mathematician at Axiom 06:30 Formal verification and why superintelligence needs proof 09:52 Jonathan Siddharth on Turing's superintelligence accelerator 15:53 Anthropic's $30B run rate and overtaking OpenAI 22:27 OpenAI's strategy, Disney deal, and $100B raise 28:27 Meta's internal token-burning leaderboard 44:08 The commodification of developers 50:31 God mode for code: formal verification in practice 58:27 Superintelligence in 36 months: what happens next 01:08:41 Apple, Siri, and why Big Tech is failing at AI products Subscribe to This Week in AI on Apple: https://thisweekinai.ai/spotify Subscribe to This Week in AI on Spotify: https://thisweekinai.ai/apple Thanks for watching! 🤖 If you want to stay ahead of the curve on all things AI, make sure to join our community across all platforms: 📩 Get the Weekly Newsletter: https://thisweekinai.ai/ 📺 Subscribe on YouTube: https://www.youtube.com/channel/UCZo46NiqoWMnuJo1SxCnX0g 📸 Instagram: https://www.instagram.com/thisweekinaipodcast 📱 TikTok: https://www.tiktok.com/@thisweekinaipodcast ✖️X: https://x.com/ThisWeeknAI Follow Jason: https://x.com/jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis/ Follow Oliver: https://x.com/oliverkorzen Check out all our partner offers: https://partners.launch.co/

    1시간 27분
  5. How Focus Killed Sora and Saved Anthropic | This Week in AI with Victor Riparbelli, Nick Harris & Jeremy Fraenkel

    4월 1일

    How Focus Killed Sora and Saved Anthropic | This Week in AI with Victor Riparbelli, Nick Harris & Jeremy Fraenkel

    This Week in AI, JCal sits down with three CEOs building the infrastructure, intelligence, and interfaces for the next era of AI: Jeremy Fraenkel (CEO, Fundamental), Victor Riparbelli (CEO, Synthesia), and Nick Harris (CEO, Lightmatter). We break down what's actually happening beneath the AI hype: the data modality LLMs completely missed, why copper is the real bottleneck in AI data centers, OpenAI shutting down Sora, the build vs. buy debate for AI tools, and how close we really are to AGI. AI's Biggest Blind Spot, Tabular Data: LLMs transformed text, images, and code, but 70-80% of enterprise data lives in rows and columns.Copper Can't Keep Up: Nick explains why AI data centers are hitting a wall. GPUs compute faster than they can communicate. Lightmatter's photonic chips push 1.6 terabits per fiber and can 3x training speed.Why OpenAI Killed Sora & Anthropic's Focus is Winning: Victor breaks down why even OpenAI had to learn the lesson of focus, and why Claude Code has every founder talking.Vibe Coding Your Own CRM vs. Buying Salesforce: Jeremy reveals Fundamental built their own internal CRM using vibe coding. The panel debates when building beats buying and when it's a distraction.The Omnipresent CEO: Jason shares how he's using AI agents for root access to Slack, Gmail, and Notion, resurrecting former employees as AI personas, automating SDR workflows, and summarizing employee inboxes while they're on vacation.Are We Already at AGI?: Nick says the rate of progress is a double exponential. Jeremy argues AGI is a moving goalpost. Victor warns of "Future Shock" and societal disruption.🔗 Learn more about Fundamental: https://fundamental.tech🔗 Learn more about Synthesia: https://www.synthesia.io🔗 Learn more about Lightmatter: https://lightmatter.coThis Week In AI is made possible by:PayPal Open - One Platform for all Business: paypalopen.comTimestamps:00:00 Welcome & intro to Jeremy Fraenkel, Victor Riparbelli, and Nick Harris01:47 What is Fundamental? Large tabular models explained07:01 Victor Riparbelli on Synthesia & why OpenAI killed Sora11:09 Claude Code dominance & the Lightspeed founder retreat12:08 Nick Harris on Lightmatter, photonics & the new Moore's Law14:38 Copper vs. fiber: why AI data centers are hitting a wall18:44 Reinventing video: interactive, real-time, personalized21:32 The economics of a custom AI movie23:55 Why Amazon, Google & Meta are building their own chips28:06 Tables have a bandwidth problem too32:27 When will compute be as cheap as storage?36:10 The future of software: every company gets a custom stack38:06 Vibe coding your own CRM vs. buying Salesforce45:57 Jason's quest for root access to Slack50:18 The omnipresent CEO: Doctor Manhattan meets Jesus CEO52:13 Resurrecting former employees as AI personas53:25 Victor's executive changelog for a 650-person company55:07 Whisper Flow & the Plaud Pin1:00:03 AGI: is it already here?1:03:37 Jeremy: we've only solved half the brain1:06:30 70% of Americans fear AI will impact jobs1:08:47 Future Shock & keeping the rope tight*Mentioned in the show:* Wisper Flow: https://wisperflow.ai Plaud Pin: https://www.plaud.aiAthena Executive Assistants: https://www.athenawow.comWHOOP: https://www.whoop.com"Future Shock" by Alvin Toffler: https://www.amazon.com/Future-ShockAlvin-Toffler/dp/0394425863Victor on TWiST, E1776: https://youtu.be/jxET4fq_2eANick on TWiST, E1787: https://youtu.be/FPW2nnEqfMsSubscribe to This Week in AI on Apple: https://thisweekinai.ai/spotifySubscribe to This Week in AI on Spotify: https://thisweekinai.ai/appleThanks for watching!🤖 If you want to stay ahead of the curve on all things AI, make sure to join our community across all platforms:📩 Get the Weekly Newsletter: https://thisweekinai.ai/📺 Subscribe on YouTube: https://www.youtube.com/@ThisWeekinAIPodcast📸 Instagram: https://www.instagram.com/thisweekinaipodcast

    1시간 12분
  6. $2.5B Chip Heist, The Future of American AI, and Purpose-Built Robots | This Week in AI Ep 6

    3월 25일

    $2.5B Chip Heist, The Future of American AI, and Purpose-Built Robots | This Week in AI Ep 6

    This week Jason sat down with Jake Loosararian and Chris Lattner on Episode 6 of This Week in AI. Jake is the CEO and co-founder of Gecko Robotics, a company deploying purpose-built robots and AI for mission-critical infrastructure inspection across energy, defense, and manufacturing. Chris is the CEO and co-founder of Modular, building a universal software layer that lets developers run AI models across Nvidia, AMD, and Apple silicon without being locked into any single hardware vendor. We explore the GPU shortage, why China's chip smuggling reveals the stakes of the AI cold war, how purpose-built robotics are beating humanoids on ROI, the case for American reindustrialization, and why the next decade could be the best ever for private equity in capital-intensive industries. Purpose-Built Robots vs. Humanoids: Jake has been building mission-critical robots for 13 years. He explains why general-purpose humanoids still have too little ROI for industrial use, and why specialized robots that find and fix problems are winning in the field.The GPU Shortage Is Real: Chris breaks down why you can't just go buy 100 Blackwell chips today, why Nvidia's Cuda creates massive lock-in, and how Modular is building a unified software layer across all major chip architectures.Google TPUs Are the Sleeper: Chris ranks Google as the number one threat to Nvidia's dominance, ahead of Amazon's Trainium and AMD.China's Chip Smuggling & the AI Cold War: A Supermicro co-founder allegedly smuggled $2.5B in Nvidia chips to China using fake serial numbers and a hairdryer. The Best Decade for Private Equity: Jake makes the case that capital-intensive, commoditized infrastructure assets: waste-to-energy, water treatment, old power plants will all generate incredible returns.Self-Driving State of Play: Chris, a former Tesla Autopilot lead, gives his read on Waymo's lead, Tesla's small Austin pilot, and why the real signal is when Tesla starts filing for fully autonomous permits in California.Figure's New AI Lab, Hark: Breaking news mid-episode: Brett Adcock announces a new personal intelligence lab. Learn more about Gecko Robotics: https://www.geckorobotics.com Learn more about Modular: https://www.modular.com/ This Week In AI is made possible by: *PayPalOpen* - One Platform for all Business: paypalopen.com *Timestamps:* 00:00 Welcome & intro to Jake Lu (Gecko Robotics) and Chris Lattner (Modular) 01:34 Gecko's 13-year journey & the Cantilever platform 05:15 Chris Lattner on Modular: replacing Cuda & unifying AI hardware 11:10 Nvidia lock-in, AMD's Rock & why the software stack is broken 19:49 The GPU shortage: how real is it? 22:13 Who challenges Nvidia? Google TPUs, Amazon Trainium & AMD ranked 28:17 China chip smuggling: $2.5B in Nvidia GPUs & the AI cold war 37:43 Self-driving update: Waymo, Tesla's Austin pilot & Chris's Tesla history 42:20 Figure's humanoid package sorting — real or demo magic? 43:47 The best decade for private equity in capital-intensive assets 51:04 Reindustrialization, the trades boom & making manufacturing cool 58:39 Building tech companies outside Silicon Valley 1:06:46 Breaking news: Brett Adcock launches Hark from Figure 1:10:15 Closing thoughts: grit over hype, customers over valuations Subscribe to This Week in AI on Apple: https://thisweekinai.ai/spotify Subscribe to This Week in AI on Spotify: https://thisweekinai.ai/apple Thanks for watching! 🤖 If you want to stay ahead of the curve on all things AI, make sure to join our community across all platforms: 📩 Get the Weekly Newsletter: https://thisweekinai.ai/ 📺 Subscribe on YouTube: https://www.youtube.com/@ThisWeekinAIPodcast 📸 Instagram: https://www.instagram.com/thisweekinaipodcast 📱 TikTok: https://www.tiktok.com/@thisweekinaipodcast ✖️X: https://x.com/ThisWeeknAI Follow Jason: X: https://twitter.com/Jason Follow Oliver: https://x.com/oliverkorzen Check out all our partner offers: https://partners.launch.co/

    1시간 15분
  7. How Abridge Built A $5B AI Healthcare Unicorn | Shiv Rao, CEO - This Week in AI Ep 5

    3월 18일

    How Abridge Built A $5B AI Healthcare Unicorn | Shiv Rao, CEO - This Week in AI Ep 5

    This week, JCal sat down with Shiv Rao at LAUNCH Fest 2026. Shiv is a cardiologist, CEO, and co-founder of Abridge, a $5B+ company that's raised close to $1B to build vertical large language models for healthcare. Shiv breaks down why the US healthcare system is broken, how AI is already outperforming doctors on average, and what it took to build a unicorn in one of the most regulated industries on the planet. We explore how AI is transforming doctor-patient conversations, eliminating clinician burnout, and reshaping how care is delivered and paid for. Doctors Need 30 Hours a Day: An American Journal of General Internal Medicine study found physicians can't complete their daily workload in 24 hours. Shiv explains where all that time goes anAbridge is clawing it back.AI Has Better Bedside Manner Than Your Doctor: Research from Harvard and other institutions now shows AI delivers more consistent answers and patients actually prefer it. Shiv explains why that's not as scary as it sounds.The Healthcare Stakeholder Problem: Shiv invokes Conway's Law to explain why every player in the system, doctors, insurers & hospitals are pointing guns at each other instead of aligning around the patient.A Real-Time AI Copilot for Doctors: Abridge's live assistant listens to conversations, pulls context from years of patient data, and prompts doctors with follow-up questions mid-visit to unlock insurance approvals on the spot.The Self-Directed Patient Explosion: Nearly every patient walks in armed with ChatGPT research. Shiv explains why this is compounding the burnout crisis, not solving it.Go-To-Market in Regulated Industries: Why "start small and swim upstream" can be a death trap in healthcare, and how Abridge's decision to target large health systems early became a core part of their moat.Being Early Isn't Being Wrong: Abridge started three months after "Attention Is All You Need" and raised a $3M seed on a $12M pre. Shiv shares what it was like waiting years for the market to catch up.Robotics in Healthcare: From AI-powered suturing at Johns Hopkins to the case for humanoid EMTs, Shiv lays out what's coming and what's still far off. 🔗 Learn more about Abridge: https://www.abridge.com This Week In AI is made possible by: Quadratic - https://www.Quadratic.ai/twist Timestamps: 00:00 Welcome & intro to Shiv Rao, CEO & co-founder of Abridge 01:20 Rural hospital closures & the necessity of AI agents 03:33 Designing an AI intake process for primary care 06:01 Solving the 30-hour workday & clerical burnout 08:25 Conway’s Law & misaligned stakeholders in healthcare 10:07 Quadratic - Bringing the productivity boost of AI into your spreadsheets. Visit https://www.quadratic.ai/twist to sign up and use the code TWIST to get one free month of their pro tier subscription. 11:50 Why patients prefer AI models over average clinicians 14:27 Moving past the charade of the all-knowing doctor 17:01 How automated notes restore human clinical presence 21:00 The Joe Rogan crowd & consumer-driven healthcare 27:29 Advances in surgical robotics & AI precision 32:44 Surviving the Bert era to reach the AI inflection point Subscribe to This Week in AI on Apple: https://thisweekinai.ai/spotify Subscribe to This Week in AI on Spotify: https://thisweekinai.ai/apple Thanks for watching! 🤖 If you want to stay ahead of the curve on all things AI, make sure to join our community across all platforms: 📩 Get the Weekly Newsletter: https://thisweekinai.ai/ 📺 Subscribe on YouTube: / @thisweekinaipodcast 📸 Instagram: / thisweekinaipodcast 📱 TikTok: / thisweekinaipodcast ✖️X: https://x.com/ThisWeeknAI Follow Jason: X: / jason LinkedIn: / jasoncalacanis Follow Oliver: https://x.com/oliverkorzen Thank you to our partner: Quadratic - Bringing the productivity boost of AI into your spreadsheets. Visit https://www.quadratic.ai/twist to sign up and use the code TWIST to get one free month of their pro tier subscription.

    36분
  8. Data Centers in Space, AI Excavators & Fixing AI Slop | Philip Johnston, Boris Sofman, Spiros Xanthos

    3월 11일

    Data Centers in Space, AI Excavators & Fixing AI Slop | Philip Johnston, Boris Sofman, Spiros Xanthos

    This week we sit down with three founders building at the frontier of AI in space, autonomous hardware, and software reliability: Philip Johnston (StarCloud), Boris Sofman (Bedrock Robotics), and Spiros Xanthos (Resolve AI). We dig into why data centers are heading to orbit, how AI is taking the wheel on construction sites, and whether the industry is moving too fast for its own good. We explore how physical infrastructure, real-world autonomy, and AI trust are reshaping the industry from the ground up. Sam Altman vs. Space Data Centers: He said it won't matter "this decade." But Philip breaks down why the economics of space compute are about to flip.The Construction Labor Crisis: Half the skilled workforce is retiring in the next seven years while data center construction spend hits $700B this year alone. Boris explains why autonomous excavators aren't replacing workers, they're the only way to keep up.AI Broke Amazon's Code: Generative AI is shipping software faster than engineers can understand it. Spiros warns that accelerating code velocity without upgrading reliability is a disaster waiting to happen.Automation Bias & Skill Degradation: What aviation taught us about over-trusting autopilot, and what developers need to learn fast.Why Americans Don't Trust AI: A KPMG survey puts AI's favorability between ICE and Iran. The panel debates whether healthcare, education, and construction are the three wins that could turn the tide.Karpathy's AI Research Agent: A weekend project that fires off entire teams of AI grad students running experiments overnight. Is this what automating the scientific method actually looks like?Anthropic vs. the Pentagon: The U.S. government threatened to label a leading domestic AI company a supply chain risk. Who gets to decide how AI is used in warfare? Timestamps: 00:00 — Welcome to This Week in AI: Episode 4 01:22 — Philip Johnston (Star Cloud): Why data centers in space will dominate 03:35 — Boris Sofman (Bedrock Robotics): Autonomizing construction equipment with AI 08:44 — Spiros Santos (Resolve AI): Intro & AI-generated code's "high blast radius" problem at Amazon 09:31 — Squarespace: Turn your idea into a beautiful website! Go to http://www.squarespace.com/twist for a free trial. When you’re ready to launch, use offer code TWIST to save 10% off your first purchase of a website or domain. 10:35 — Deep dive: Amazon's code red meetings & trusting AI-generated code too much 13:20 — Automation bias & skill degradation: the aviation autopilot analogy 17:09 — Why Americans distrust AI: and what the industry should do about it 20:05 — Notion ad 21:29 — KPMG survey results: only 9% of large companies plan job cuts from AI, 55% plan to hire more; panel debates job displacement fears 31:43 — AI's PR fix: healthcare, education & construction as the big three wins 39:22 — World models & humanoid robots: LeCun's $1B bet & the Figure video controversy 47:59 — Star Cloud's 88,000-satellite constellation: economics of space compute 56:05 — Andrej Karpathy's AI research agent: automating the scientific method 1:01:04 — Anthropic vs. the military: supply chain risk, Dario's dilemma & the Iran strike claim 1:07:50 — Hiring pitches & outro: Star Cloud, Bedrock Robotics, Resolve AI Subscribe to This Week in AI on Apple: https://thisweekinai.ai/spotify Subscribe to This Week in AI on Spotify: https://thisweekinai.ai/apple 🤖 If you want to stay ahead of the curve on all things AI, make sure to join our community across all platforms: 📩 Get the Weekly Newsletter: https://thisweekinai.ai/ 📺 Subscribe on YouTube: https://www.youtube.com/@ThisWeekinAIPodcast 📸 Instagram: https://www.instagram.com/thisweekinaipodcast 📱 TikTok: https://www.tiktok.com/@thisweekinaipodcast ✖️X: https://x.com/ThisWeeknAI Follow Jason: X: https://twitter.com/Jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis Follow Oliver: https://x.com/oliverkorzen Check out all our partner offers: https://partners.launch.co/

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An experts-only AI podcast: Think the 'All In' podcast for AI. Jason + 3 CEO-level experts breaking down the news & trends.

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  • 제작진
    Jason Calacanis
  • 방송 연도
    2026년
  • 에피소드
    13
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    전체 연령 사용가
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    © Jason Calacanis
  • 웹사이트 보기
    This Week in AI

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