This Week in AI – Details, episodes & analysis

Welcome to the very first episode of This Week in AI! Host Oliver Korzen kicks things off with an exclusive interview featuring Aaron Walls (CEO) and Andrius Useckas (CTO), the founders of ZioSec. Together, they dive deep into the world of OpenClaw security—exposing the vulnerabilities they've discovered in the wild, breaking down real attack vectors, and revealing the essential steps you need to take to protect your agent from exploitation.🔒 Key Takeaways:1. Why Mac Mini might be your safest local setup2. The "Lethal Trifecta" that makes AI agents vulnerable3. How indirect prompt injections hijack your agent through email & documents4. Why 26% of OpenClaw skills contain vulnerabilities5. Input sanitation & judge models as defensive layersZioSec: AI agent assisting in penetration testing | https://ziosec.comTimestamps:00:00 - Why Mac Mini isn't the right setup for everyone12:30 - The right way to host OpenClaw (hint: not AWS)16:11 - Understanding your attack surface27:33 - Why third-party skills are a security risk36:30 - Start with sandboxes & read-only permissions40:03 - Career advice for college students

Google released Gemini 3.0 this week, and I’ve been hands-on with it every day since launch. After diving into all the new capabilities, performance upgrades, and quality-of-life improvements, I’ve distilled the most important updates you should know. In this breakdown, I walk through the biggest feature changes, what they mean in real-world use, and how Gemini 3.0 stacks up against the other frontier models.

Jason Calacanis sits down with three CEOs building at the bleeding edge of the agentic revolution: Mitesh Agrawal (Positron AI), Alex Elias (Qloo), and Kash Ali (TaxGPT). They discuss the rapid rise of Open Claw, an open-source platform that is fundamentally changing work by allowing users to create autonomous agents. "Saving 30 minutes a day... that’s like getting three more weeks a year back." "I don't need a technical recruiter today." We explore how autonomous agents are moving beyond "Copilots" to become independent teammates:

• The AI Executive Assistant: How Mitesh Agrawal uses agents to automate inbox filtering and Slack drafts, recapturing 6% of his year.
• The Hiring Hiatus: Kash Ali screened 1,000 job applications in two hours with "flawless" accuracy, replacing 40+ hours of manual labor.
• The $1M One-Person Firm: How AI is solving the shortage of 340,000 accountants by allowing a single person to command an "army of agents".
• Democratizing Luxury: Scaling the "chauffeur and concierge" experience to everyone through taste-based AI and structured inference.
• Autonomous Media: A demo of an agent that transcribes, clips, and captions viral content in five minutes, a process that previously took an hour.The agent era is here. Are you building your replicant, or are you being left behind by a 10x more efficient workforceThis Week In Startups is made possible by:Notion - https://www.notion.com/twistQuadratic - https://www.Quadratic.ai/twistTimestamps: 00:00 Welcome to This Week in AI!03:17 How are CEO’s using OpenClaw?09:25 Notion - Notion brings all your notes, docs, and projects into one connected space that just works with AI built right in. Try Notion, with Notion Agent, at notion.com/twist00:19:09 — Automating the "Great Hiring Hiatus”00:19:20 Quadratic - Bringing the productivity boost of AI into your spreadsheets. Visit [quadratic.ai/twist](https://www.quadratic.ai/twist) to sign up and use the code TWIST to get one free month of their pro tier subscription.00:27:11 — Saving Independent Film with AI Extras00:33:04 — Solving the Global Accounting Crisis00:36:36 — The $1 Million One-Person Tax Advisory00:43:05 — Demo: The Autonomous Content Clipper0:00 Making Clips with OpenClaw01:07:39 — Micro-Agents vs. "Ultron”01:10:23 — The Developer, the CEO, and the AI Joke (Outro)Subscribe to This Week in AI on Apple: https://podcasts.apple.com/us/podcast...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  ](   / @thisweekinaipodcast  )📸 Instagram: [www.instagram.com/thisweekinaipodcast](  / thisweekinaipodcast  )📱 TikTok: [www.tiktok.com/@thisweekinaipodcast](  / thisweekinaipodcast  )✖️X:https://x.com/ThisWeeknAIFollow Jason:X:   / jason  LinkedIn: [  / jasoncalacanis  ](  / jasoncalacanis  )*Thank you to our partners:09:25 Notion - Notion brings all your notes, docs, and projects into one connected space that just works with AI built right in. Try Notion, with Notion Agent, at notion.com/twist00:19:20 Quadratic - Bringing the productivity boost of AI into your spreadsheets. Visit [quadratic.ai/twist](https://www.quadratic.ai/twist) to sign up and use the code TWIST to get one free month of their pro tier subscription.Check out all our partner offers: https://partners.launch.co/

This week we sit down with three founders building at the frontier of AI infrastructure, evaluation, and hardware: Chase Lochmiller (Crusoe), Naveen Rao (Unconventional AI), and Anastasios Angelopoulos (Arena). We dig into the real bottlenecks slowing down the AI buildout, how to standout in the job market as AI matures, and the explosive government standoff between Anthropic and the Pentagon.

We explore how AI infrastructure, open source models, and policy are reshaping the industry from the ground up.

• The Anthropic-Pentagon Standoff: The U.S. government blacklisted a leading domestic AI company for the first time. Who sets the rules for AI in warfare?
• Jevons Paradox & AI: Every efficiency gain in intelligence-per-watt creates more demand, not less. AI infra is positioned to capture the largest market humanity has ever built.
• OpenClaw & Open Source Mania: The open-source AI agent that just became GitHub's most-starred project. It now runs locally on your phone.
• Should You Learn to Code?: Yes, but not as a trade skill. Bootcamp-style training is dead. Understanding how machines work is what separates leaders from everyone else.
• Rethinking the Computer from Scratch: Naveen's team is building chips that mimic biology, targeting 1,000x efficiency gains.
• The Coming Labor Crisis: Anastasios argues most valuable work is just training humans for repeatable tasks, and that work is disappearing. Chase counters that digital labor is a new variable in the GDP equation.

This Week In Startups is made possible by:

Notion - https://www.notion.com/twist

Quadratic - https://www.Quadratic.ai/twist

Timestamps:

00:38 — Welcome to This Week in AI

01:21 — Show intro and guest introductions (Chase from Crusoe and Anastasius from Arena)

02:22 — Crusoe's Stargate partnership: 1.2GW campus for Oracle and OpenAI in Abilene, Texas

03:09 — Rethinking computing from first principles for 1,000x efficiency

06:53 — How Arena went from a Berkeley side project to half a billion conversations

09:28 — 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.

12:01 — Open source AI explosion: On-device models, token costs, and adoption

15:31 — Defining AGI: Clay Math millennium problems, moving goalposts, and what AI still can't do

22:08 — Notion - Notion brings all your notes, docs, and projects into one connected space that just works with AI built right in. Try Notion, with Notion Agent, at https://www.notion.com/twist

23:07 — System 1 vs. System 2 thinking and where compute actually happens

26:31 — Crusoe Spark: Modular data centers that go where the power is

34:33 — Model compression is moving faster than anyone predicted

36:51 — Jevons Paradox, the employment question, and the coming labor crisis

45:53 — Abundance, advice for young people, and the importance of learning to code

64:41 — AI in warfare: Corporate responsibility, inevitability, and national obligations

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Jason Calacanis sits down with two founders building at the frontier of AI products and infrastructure: Tanay Kothari (Wispr Flow) and Richard Socher (You.com & AIX Ventures). They dig into the Citrini "doom post" that rattled markets, the real economics of automation waves, and how AI-first teams are being rebuilt from the ground up.

We explore how the agentic shift is reshaping companies, costs, and careers:

• The AI Doom Post Debunked: Why the viral Citrini Substack predicting 10% unemployment and an S&P crash is completely wrong.
• AI-First Hiring: How Wispr Flow shipped their #1 Android voice app with one engineer running ten Claude agents simultaneously — and stopped hiring junior developers entirely.
• Customer Support at Scale: How Wispr went from needing 200 support agents to 4 by automating 15 distinct support loops, from bug tickets to product feedback.
• The Cognitive Surplus: Why automation doesn't destroy jobs, it creates the next wave of businesses nobody has predicted yet.
• Open Source vs. Closed Models: Why DeepSeek forced every major lab to innovate faster, and how Wispr built its own 90% gross margin voice model by starting on open source.
• Taiwan & the Chip Risk: Apple's Mac Mini onshoring, the 2027 CCP military warning, and the five contingency plans the world is quietly building around TSMC.
• OpenClaw Mania: Producer Oliver joins the show to talk about how he is using OpenClaw to do his tasks for him.

This Week In Startups is made possible by:

Notion - https://www.notion.com/twist

Quadratic - https://www.Quadratic.ai/twist

Timestamps:

00:01:16 - Welcome & Guest Introductions: Tanay Kothari (Wispr Flow) and Richard Socher (You.com)

00:03:33 - Why Voice Dictation Finally Works: How Wispr turns rambling speech into send-ready messages

00:05:43 - Foot Pedals, Rings & the Future of Voice Input Modalities

00:09:32 - The Citrini "Doom Post": The viral Substack predicting 10% unemployment and an S&P crash

00:11:52 - 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.

00:14:28 - Debunking the Doom: Cognitive Surplus, the Lump of Labor Fallacy & Why People Adapt

00:22:08 Notion ****- Notion brings all your notes, docs, and projects into one connected space that just works with AI built right in. Try Notion, with Notion Agent, at https://www.notion.com/twist

00:26:18 - Open Source vs. Closed Models: How DeepSeek Forced Innovation & Who Wins the Cost Race

00:38:05 - Building AI-First Teams: Certifications, Agent Management & the New Skill Stack

00:43:42 - Customer Support Reinvented: How Wispr Went from 200 Agents to 4

01:16:29 - Breaking News: Apple Onshores Mac Mini to Houston & The Taiwan Chip Risk Explained

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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

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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

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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.

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

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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/

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

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Follow Jason:

X: https://twitter.com/Jason

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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/

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

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