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The interview with Tibo from OpenAI 🔥 0:00 Everything OpenAI launched at DevDay 2:44 Sponsors: Wispr Flow, Hostinger, OpenArt 4:11 What is ChatGPT Dots? 7:52 Will ChatGPT Dots be free? 10:15 GPT-6.1 Sol vs GPT-6 Astra 11:44 Is AI now building AI? 12:53 Ultra Fast: when does everyone get... it? 14:00 How OpenAI rebuilt the ChatGPT desktop app in 30 days 19:08 Why everything will run in the cloud 20:55 Calling your Dots on the phone 22:11 The new Turing test 24:05 OpenAI's mission and AI safety 26:14 Why OpenAI still works like a startup 27:29 The truth about ChatGPT usage resets 29:00 The $500 ChatGPT plan 30:17 Sponsors in action 32:23 Why AI agents still fail 33:52 OpenAI's AI is now on call 34:26 OpenAI's internal benchmarks 35:55 Open source Codex and the open ecosystem 38:42 ChatGPT Space explained 39:45 Is the chat box holding AI back? 42:26 Every DevDay update, full workshop 43:28 How people really use ChatGPT Work and Codex 44:01 When is the next OpenAI model coming? 45:05 What AI has to solve next 45:32 Is your job safe from AI? 48:14 Rapid fire 48:54 Has OpenAI already reached AGI? 50:48 The one thing he'll never let AI do 51:22 His morning AI routine 52:15 What he'd build if not AI Watch the full podcast on YouTube or X. Enjoy!show more

Vaibhav Sisinty

174,817 subscribers

232,654 Aufrufe • vor 1 Tag •via X (Twitter)

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49 Kommentare

Profilbild von Ian Miles

Ian Milesvor 1 Tag

@thsottiaux Neat. Seems like an interesting conversation, especially the comparisons between GPT Sol and GPT Astra. Gonna have this playing in the background.

Profilbild von Nita • Juana Cervio | tech & blockchain recruiting

Nita • Juana Cervio | tech & blockchain recruitingvor 1 Tag

@thsottiaux Both Sol and Astra work great tbh. I created my new website in less than a weeks with the $100 plan and they look better than I could have had it two years ago hiring a dev and paying thousands of dollar:

Profilbild von Brian Krassenstein

Brian Krassensteinvor 1 Tag

@thsottiaux He's one of the best communications guy in AI. Nice to hear he speak up.

Profilbild von Vaibhav Sisinty

Vaibhav Sisintyvor 1 Tag

@thsottiaux Absolutely! 🙌

Profilbild von angel

angelvor 1 Tag

@thsottiaux went straight to the usage resets section lol

Profilbild von Vaibhav Sisinty

Vaibhav Sisintyvor 1 Tag

@thsottiaux haha 😂

Profilbild von Wesley

Wesleyvor 1 Tag

@thsottiaux The agents still failing bit is the one I am most curious about. Timestamps make this way easier to jump around.

Profilbild von Vaibhav Sisinty

Vaibhav Sisintyvor 1 Tag

@thsottiaux Exactly! 💯

Profilbild von MarketingMax.com

MarketingMax.comvor 1 Tag

@thsottiaux Can't wait to listen to this later!

Profilbild von Nico

Nicovor 1 Tag

@thsottiaux glad you asked why agents still fail, that’s the bit i’m most curious about

Profilbild von Vaibhav Sisinty

Vaibhav Sisintyvor 1 Tag

@thsottiaux 🙌🙌

Profilbild von Brady Long

Brady Longvor 1 Tag

@thsottiaux getting @thsottiaux on a pod is goat status

Profilbild von Vaibhav Sisinty

Vaibhav Sisintyvor 1 Tag

@thsottiaux Yes 🔥

Profilbild von gus

gusvor 1 Tag

@thsottiaux the desktop app rebuild in 30 days needs its own episode

Profilbild von Eco

Ecovor 1 Tag

@thsottiaux I can’t wait for this one 🔥🔥🔥

Profilbild von Vaibhav Sisinty

Vaibhav Sisintyvor 1 Tag

@thsottiaux Soon! 🔥

Profilbild von sam

samvor 1 Tag

@thsottiaux glad they asked why agents fail, that’s the part I wanted

Profilbild von Tyler Todt

Tyler Todtvor 1 Tag

@thsottiaux Cannot wait to listen to this later tonight!! Bookmarked!!! Thanks for doing this!!!! 🙏

Profilbild von Vaibhav Sisinty

Vaibhav Sisintyvor 1 Tag

@thsottiaux Appreciate it! 🙌

Profilbild von Markandey Sharma

Markandey Sharmavor 1 Tag

@thsottiaux A podcast worth watching

Profilbild von Vaibhav Sisinty

Vaibhav Sisintyvor 1 Tag

@thsottiaux Thanks 🔥

Profilbild von Abraham John 🦄🦓

Abraham John 🦄🦓vor 1 Tag

@thsottiaux AI is moving way beyond just being a tool. For designers, I think the more interesting question is how our role changes as these tools get better.

Profilbild von Vaibhav Sisinty

Vaibhav Sisintyvor 1 Tag

@thsottiaux Yes!

Profilbild von Gina Acosta

Gina Acostavor 1 Tag

@thsottiaux codex keeps getting closer to real daily developer work now

Profilbild von Vaibhav Sisinty

Vaibhav Sisintyvor 1 Tag

@thsottiaux Absolutely! 💯

Profilbild von Shruti Codes

Shruti Codesvor 1 Tag

@thsottiaux This is basically an entire AI roadmap packed into one interview 🔥

Profilbild von Vaibhav Sisinty

Vaibhav Sisintyvor 1 Tag

@thsottiaux 🙌🙌

Profilbild von kamran Hassan

kamran Hassanvor 1 Tag

@thsottiaux Really thoughtful conversation with a lot of useful context and insights.

Profilbild von Vaibhav Sisinty

Vaibhav Sisintyvor 1 Tag

@thsottiaux Appreciate it! 🙌

Profilbild von Christina Garnett

Christina Garnettvor 1 Tag

@thsottiaux The time stamps are so incredibly helpful.

Profilbild von Vaibhav Sisinty

Vaibhav Sisintyvor 1 Tag

@thsottiaux Glad!

Profilbild von Francesco Ciulla

Francesco Ciullavor 1 Tag

@thsottiaux Thanks for putting so much effort into creating this. It’s very valuable!

Profilbild von Darshal Jaitwar

Darshal Jaitwarvor 1 Tag

@thsottiaux That is a LOT of topics packed into one interview 😂

Profilbild von Hayyan | Creative AI

Hayyan | Creative AIvor 1 Tag

@thsottiaux The usage-reset truth is still doing more damage than every DevDay launch combined.

Profilbild von Vaibhav Sisinty

Vaibhav Sisintyvor 1 Tag

@thsottiaux Fair point! 👀

Profilbild von The SI Therapist

The SI Therapistvor 1 Tag

@thsottiaux Smart friend checks the timestamp too fast. ChatGPT Dots launches now but stays free for a while to win hearts

Profilbild von Ryan Hart

Ryan Hartvor 1 Tag

@thsottiaux is Dots bout to take over Grokbot?

Profilbild von Peter Orban

Peter Orbanvor 1 Tag

@thsottiaux AI is clearly moving from launch-day announcements to practical workflows fast 🔥 Love the timestamped breakdown, especially the “is AI now building AI?” angle. That is the question every builder should be testing next.

Profilbild von Nicole DeTommaso 🪄

Nicole DeTommaso 🪄vor 1 Tag

@thsottiaux 1.2 billion users on Chatgpt now wow

Profilbild von fReePlato

fReePlatovor 1 Tag

@thsottiaux That chapter list reads like an OpenAI roadmap someone left on a whiteboard. 50:48 — 'Has OpenAI already reached AGI?' — is doing an enormous amount of heavy lifting as a timestamp title. Straight there, no regrets.

Profilbild von Vaibhav Sisinty

Vaibhav Sisintyvor 1 Tag

@thsottiaux Had to ask! 😂👀

Profilbild von Spencer Baggins

Spencer Bagginsvor 1 Tag

@thsottiaux me locking in to watch this rn

Profilbild von Vaibhav Sisinty

Vaibhav Sisintyvor 1 Tag

@thsottiaux Let’s gooo! 🔥😂

Profilbild von Amit

Amitvor 1 Tag

@thsottiaux so many good topics in one interview. adding this to the watchlist.

Profilbild von Vaibhav Sisinty

Vaibhav Sisintyvor 1 Tag

@thsottiaux Love it! 🙌🔥

Profilbild von Digital Tools Kwesi

Digital Tools Kwesivor 1 Tag

@thsottiaux ⬆️➡️⬇️

Profilbild von Aaliya

Aaliyavor 1 Tag

@thsottiaux worth a shot tons of insightful perspectives n takes

Profilbild von Vaibhav Sisinty

Vaibhav Sisintyvor 1 Tag

@thsottiaux For sure! 🙌✨

Profilbild von Andrew Lokenauth

Andrew Lokenauthvor 1 Tag

@thsottiaux AI building AI is where the compounding gets interesting. Better AI helps build better AI which helps build the next generation even faster. Crazy!!

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64,370 Aufrufe • vor 2 Monaten

BREAKING: Unpacking the largest investment in the history of Altimeter → OpenAI Reaching a $500B valuation & 700M WAUs, Apoorv Agrawal, AI & Software Partner at Altimeter, breaks down how to value OpenAI's insane growth We dig into the numbers. + PLTR FDE, XBOW, Power Laws, Supercycles Highlights - AI Supercycle Mirrors Past Technology Shifts - “Speed Is the Only Moat” - Power Law of VC - XBOW & the Future of Cybersecurity - Palantir Culture → Forward Deployed Engineers Timestamps (00:00) Altimeter’s $10B+ AUM strategy (01:57) Why Altimeter concentrated its largest investment ever in OpenAI (04:45) VC Power Law: Why 0.3% of companies drive 99% of returns (09:25) Consumer adoption of ChatGPT & enterprise spillover (12:08) Velocity: Why speed is the ultimate moat in AI (14:18) Parasocial relationships with ChatGPT (19:29) Adoption curves: Raising the ceiling vs. raising the floor (23:30) Defining AGI & DOOM (25:40) GPT-5 release: Volatility, iteration, & anti-fragility (32:00) XBOW AI: When AI becomes the world’s top hacker (38:22) Where AI value accrues: Chips, infrastructure, or applications (42:50) $1B talent wars & Meta’s AI strategy (44:12) Palantir’s billion-dollar FDE culture (50:10) Lessons from Shyam Sankar & Alex Karp (53:52) Evaluating founder performance & IPO readiness (55:36) IPO Predictions: Klarna, Discord, Databricks, Cerebras, Anduril Apoorv Agrawal | Altimeter Capital

BREAKING: Unpacking the largest investment in the history of Altimeter → OpenAI Reaching a $500B valuation & 700M WAUs, Apoorv Agrawal, AI & Software Partner at Altimeter, breaks down how to value OpenAI's insane growth We dig into the numbers. + PLTR FDE, XBOW, Power Laws, Supercycles Highlights - AI Supercycle Mirrors Past Technology Shifts - “Speed Is the Only Moat” - Power Law of VC - XBOW & the Future of Cybersecurity - Palantir Culture → Forward Deployed Engineers Timestamps (00:00) Altimeter’s $10B+ AUM strategy (01:57) Why Altimeter concentrated its largest investment ever in OpenAI (04:45) VC Power Law: Why 0.3% of companies drive 99% of returns (09:25) Consumer adoption of ChatGPT & enterprise spillover (12:08) Velocity: Why speed is the ultimate moat in AI (14:18) Parasocial relationships with ChatGPT (19:29) Adoption curves: Raising the ceiling vs. raising the floor (23:30) Defining AGI & DOOM (25:40) GPT-5 release: Volatility, iteration, & anti-fragility (32:00) XBOW AI: When AI becomes the world’s top hacker (38:22) Where AI value accrues: Chips, infrastructure, or applications (42:50) $1B talent wars & Meta’s AI strategy (44:12) Palantir’s billion-dollar FDE culture (50:10) Lessons from Shyam Sankar & Alex Karp (53:52) Evaluating founder performance & IPO readiness (55:36) IPO Predictions: Klarna, Discord, Databricks, Cerebras, Anduril Apoorv Agrawal | Altimeter Capital

Molly O’Shea

207,506 Aufrufe • vor 1 Jahr

INTERVIEW - Venice Is Here to Win: How Private AI Takes On OpenAI and Anthropic David Hoffman sits down with Jon Venice and Jesse Proudman to unpack how Venice is taking on OpenAI and Anthropic with private AI. They talk about: - why AI is becoming the biggest data honeypot ever - private Grok access through Venice - unrestricted AI as a consumer wedge - how non-crypto users still feed the $VVV economy - $DIEM, tokenized inference, and AI agents --- TIMESTAMPS 0:00 Intro 1:12 Why Private AI Matters 3:01 The AI Data Honeypot 6:07 Venice’s Consumer AI Ambition 8:01 Beating the Big AI Labs 10:19 Model Aggregation and Agentic Chat 12:29 Open Source, Closed Source, and Private Grok 17:14 Who Actually Needs Private AI? 21:58 Venice’s User Base 23:53 What Drove Venice’s Recent Growth 27:21 $VVV, $DIEM, and Tokenized Inference 29:00 Where Venice Gets Its Compute 32:17 Bonding Curves and DIEM Monetary Policy 39:14 Real Tokenomics, Not Just a Pie Chart 45:46 AI Agents Need Inference to Exist 52:54 ShapeShift DNA Inside Venice 55:53 Regulation, AI, and Individual Rights

INTERVIEW - Venice Is Here to Win: How Private AI Takes On OpenAI and Anthropic David Hoffman sits down with Jon Venice and Jesse Proudman to unpack how Venice is taking on OpenAI and Anthropic with private AI. They talk about: - why AI is becoming the biggest data honeypot ever - private Grok access through Venice - unrestricted AI as a consumer wedge - how non-crypto users still feed the $VVV economy - $DIEM, tokenized inference, and AI agents --- TIMESTAMPS 0:00 Intro 1:12 Why Private AI Matters 3:01 The AI Data Honeypot 6:07 Venice’s Consumer AI Ambition 8:01 Beating the Big AI Labs 10:19 Model Aggregation and Agentic Chat 12:29 Open Source, Closed Source, and Private Grok 17:14 Who Actually Needs Private AI? 21:58 Venice’s User Base 23:53 What Drove Venice’s Recent Growth 27:21 $VVV, $DIEM, and Tokenized Inference 29:00 Where Venice Gets Its Compute 32:17 Bonding Curves and DIEM Monetary Policy 39:14 Real Tokenomics, Not Just a Pie Chart 45:46 AI Agents Need Inference to Exist 52:54 ShapeShift DNA Inside Venice 55:53 Regulation, AI, and Individual Rights

Bankless

59,687 Aufrufe • vor 3 Monaten

Why AI Can Now Make Discoveries - my conversation with Dan Roberts, Lead of the Foundations of Reinforcement Learning team at OpenAI 00:00 Intro: AI's wild week in mathematics 01:21 What OpenAI's Foundations of RL team does 03:08 Dan's journey: from black holes and quantum gravity to frontier AI 07:04 Are AI systems becoming useful for real science 08:21 The AI math moment: Erdős, OpenAI, DeepMind, and Anthropic 08:52 Why the OpenAI result was an act of exploration 10:25 OpenAI vs. DeepMind: informal reasoning vs. formal proof 12:13 RL 101: learning by doing, not just watching 15:10 Why reinforcement learning works 15:58 How RL breaks: sparse feedback and long-horizon tasks 17:03 RLHF: how human feedback shaped early language models 18:48 Move 37, self-play, and the search for novel strategies 22:16 Explore vs. exploit in scientific discovery 24:49 Why RL may now be "the cake," not the cherry on top 25:46 Why RL started working with large language models 27:29 Is RL "sucking supervision through a straw"? 28:47 Why language may be the grounding layer for intelligence 31:46 A contrarian take on the Bitter Lesson 32:41 What test-time compute actually is 34:50 How RL gives models the ability to think 35:40 Verifiable rewards, math, coding, and the messy real world 38:00 What physics can teach us about AI 42:08 Is there a thermodynamics of AI? 43:08 From Erdős problems to Einstein-level AI 45:16 Is AI already doing original science? 45:51 How far are we from AI automating AI research 47:41 Why Dan is excited about the future of science

Why AI Can Now Make Discoveries - my conversation with Dan Roberts, Lead of the Foundations of Reinforcement Learning team at OpenAI 00:00 Intro: AI's wild week in mathematics 01:21 What OpenAI's Foundations of RL team does 03:08 Dan's journey: from black holes and quantum gravity to frontier AI 07:04 Are AI systems becoming useful for real science 08:21 The AI math moment: Erdős, OpenAI, DeepMind, and Anthropic 08:52 Why the OpenAI result was an act of exploration 10:25 OpenAI vs. DeepMind: informal reasoning vs. formal proof 12:13 RL 101: learning by doing, not just watching 15:10 Why reinforcement learning works 15:58 How RL breaks: sparse feedback and long-horizon tasks 17:03 RLHF: how human feedback shaped early language models 18:48 Move 37, self-play, and the search for novel strategies 22:16 Explore vs. exploit in scientific discovery 24:49 Why RL may now be "the cake," not the cherry on top 25:46 Why RL started working with large language models 27:29 Is RL "sucking supervision through a straw"? 28:47 Why language may be the grounding layer for intelligence 31:46 A contrarian take on the Bitter Lesson 32:41 What test-time compute actually is 34:50 How RL gives models the ability to think 35:40 Verifiable rewards, math, coding, and the messy real world 38:00 What physics can teach us about AI 42:08 Is there a thermodynamics of AI? 43:08 From Erdős problems to Einstein-level AI 45:16 Is AI already doing original science? 45:51 How far are we from AI automating AI research 47:41 Why Dan is excited about the future of science

Matt Turck

69,801 Aufrufe • vor 4 Monaten

New podcast with Garry Tan, farbood and Daniel Francis. Live in the Future! 00:00 Guest Intros 02:35 Live in the Future 03:58 Will AI Outsmart us? 07:43 In the Anthropic Breadline 09:59 The Tech Genie Is Out 12:33 We Invested in COVID?! 14:25 Good Writing Is Novelty 18:50 Living Like It’s 2028 24:32 Truth dot ai 30:18 Does China have the Weights? 35:38 Everyone has AI Anxiety 39:32 Have Your Agent Talk to My Agent 42:01 What if Open Source takes the Lead? 44:03 The Sun is Setting on Google 48:00 Ride the AGI 50:46 Will There be Startups? 54:05 Defending Taiwan 1:00:05 The California Empire 1:01:26 If the U.S. Falls 1:03:11 Universal Basic Robot 1:06:01 Humans as AI Handlers

New podcast with Garry Tan, farbood and Daniel Francis. Live in the Future! 00:00 Guest Intros 02:35 Live in the Future 03:58 Will AI Outsmart us? 07:43 In the Anthropic Breadline 09:59 The Tech Genie Is Out 12:33 We Invested in COVID?! 14:25 Good Writing Is Novelty 18:50 Living Like It’s 2028 24:32 Truth dot ai 30:18 Does China have the Weights? 35:38 Everyone has AI Anxiety 39:32 Have Your Agent Talk to My Agent 42:01 What if Open Source takes the Lead? 44:03 The Sun is Setting on Google 48:00 Ride the AGI 50:46 Will There be Startups? 54:05 Defending Taiwan 1:00:05 The California Empire 1:01:26 If the U.S. Falls 1:03:11 Universal Basic Robot 1:06:01 Humans as AI Handlers

Naval

769,243 Aufrufe • vor 3 Monaten

I thought I was already asking AI to do a lot. Then I talked to Greg Brockman Greg Brockman 😁 co-founder and President of OpenAI 00:00 Intro 02:16 Why Greg no longer writes software himself 06:00 How the app could help produce the final episode 07:10 What small-business owners should focus on 09:18 Raising the ceiling of ambition 10:01 What makes an AI app worth paying for? 11:16 The coming renaissance of entrepreneurship 15:48 Why domain expertise is an AI advantage 17:38 Greg’s AI briefing agent 19:48 How OpenAI measures AI’s effect on productivity 20:59 Greg’s AI chief of staff 21:54 When is more AI compute worth it? 25:29 What should stay under human control? 26:18 What to try with AI if you have one hour 27:48 What work with AI could look like in five years Enjoy!

I thought I was already asking AI to do a lot. Then I talked to Greg Brockman Greg Brockman 😁 co-founder and President of OpenAI 00:00 Intro 02:16 Why Greg no longer writes software himself 06:00 How the app could help produce the final episode 07:10 What small-business owners should focus on 09:18 Raising the ceiling of ambition 10:01 What makes an AI app worth paying for? 11:16 The coming renaissance of entrepreneurship 15:48 Why domain expertise is an AI advantage 17:38 Greg’s AI briefing agent 19:48 How OpenAI measures AI’s effect on productivity 20:59 Greg’s AI chief of staff 21:54 When is more AI compute worth it? 25:29 What should stay under human control? 26:18 What to try with AI if you have one hour 27:48 What work with AI could look like in five years Enjoy!

Marina Mogilko

17,420 Aufrufe • vor 2 Tagen

GPT-6 Astra is by far the best inside Codex. & this is THE Complete Beginners Guide to Codex. The 28 things you need to know about Codex and GPT-6 to start using it for knowledge work and coding work. My goal with this video: give you one guide you can send to anyone on your team so they can get comfortable with Codex, understand what’s possible, and start finding ways to use AI in your business. 00:00 Intro 01:15 The Codex Platform 02:02 Downloading Codex (ChatGPT Desktop) 03:25 1. Codex Is the App, GPT-6 Is the Model 06:10 2. Build Any App 10:32 3. Host Sites with GPT Sites 18:12 4A. Building Desktop App 21:33 4B. Building an iOS app 24:09 5. Built-In Web Browser 32:27 6. Create Any Document 35:00 7. Annotation Mode 38:41 8. Production-Ready Apps 44:29 9. Chats & Projects 48:54 10. Multitasking 50:09 10B Side Chat 51:13 11. Sections 54:27 12. Connect Every App (Plugins) 01:03:17 13. Ask Codex What to Work On 01:05:39 14. Blender & 3D Assets 01:08:25 15. Video Games 01:09:24 16. Interactive Learning Websites 01:13:12 17. Scheduled Tasks 01:16:19 18. Email & iMessage 01:18:56 19. Skills 01:22:54 20. Record and Replay 01:26:45 21. External APIs in Skills 01:30:00 22. Video Understanding Skill 01:35:51 23. Inline Charts 01:38:03 24. Control Codex from Your Phone 01:42:49 25. Generate & Edit Images 01:45:17 26. Sub-Agents 01:48:09 27. Computer Use 01:49:35 28. Whatever You Want

GPT-6 Astra is by far the best inside Codex. & this is THE Complete Beginners Guide to Codex. The 28 things you need to know about Codex and GPT-6 to start using it for knowledge work and coding work. My goal with this video: give you one guide you can send to anyone on your team so they can get comfortable with Codex, understand what’s possible, and start finding ways to use AI in your business. 00:00 Intro 01:15 The Codex Platform 02:02 Downloading Codex (ChatGPT Desktop) 03:25 1. Codex Is the App, GPT-6 Is the Model 06:10 2. Build Any App 10:32 3. Host Sites with GPT Sites 18:12 4A. Building Desktop App 21:33 4B. Building an iOS app 24:09 5. Built-In Web Browser 32:27 6. Create Any Document 35:00 7. Annotation Mode 38:41 8. Production-Ready Apps 44:29 9. Chats & Projects 48:54 10. Multitasking 50:09 10B Side Chat 51:13 11. Sections 54:27 12. Connect Every App (Plugins) 01:03:17 13. Ask Codex What to Work On 01:05:39 14. Blender & 3D Assets 01:08:25 15. Video Games 01:09:24 16. Interactive Learning Websites 01:13:12 17. Scheduled Tasks 01:16:19 18. Email & iMessage 01:18:56 19. Skills 01:22:54 20. Record and Replay 01:26:45 21. External APIs in Skills 01:30:00 22. Video Understanding Skill 01:35:51 23. Inline Charts 01:38:03 24. Control Codex from Your Phone 01:42:49 25. Generate & Edit Images 01:45:17 26. Sub-Agents 01:48:09 27. Computer Use 01:49:35 28. Whatever You Want

Riley Brown

193,991 Aufrufe • vor 18 Tagen

A deep dive conversation with Dan Shipper on how AI can (actually) improve your life. We explore the human side of AI: why producing good work still requires taste, how coordinating agents can fry your attention and why automation actually creates more work for humans. Timestamps: 0:38 Annie Dillard, art + writing 4:14 Can AI deepen human craft? 5:43 The slot-machine effect of AI agents 6:55 Dan's “house phone” experiment 8:01 What AI can actually help us create 13:55 AI as a non-specific amplifier 17:23 Why AI companies mishandled the story 19:36 Will AI destroy jobs? 22:35 AI as “frozen competence” 26:11 Are human-AI centaurs temporary? 31:34 Career advice for the AI era 37:19 The skills that matter now 40:08 Every 📧 as an AI research lab 42:25 The coherence problem 45:25 Rapid-fire questions 48:00 Super-intelligence by 2030? 50:44 Life after superintelligence 52:07 The questions Dan is living 53:02 Give yourself permission

A deep dive conversation with Dan Shipper on how AI can (actually) improve your life. We explore the human side of AI: why producing good work still requires taste, how coordinating agents can fry your attention and why automation actually creates more work for humans. Timestamps: 0:38 Annie Dillard, art + writing 4:14 Can AI deepen human craft? 5:43 The slot-machine effect of AI agents 6:55 Dan's “house phone” experiment 8:01 What AI can actually help us create 13:55 AI as a non-specific amplifier 17:23 Why AI companies mishandled the story 19:36 Will AI destroy jobs? 22:35 AI as “frozen competence” 26:11 Are human-AI centaurs temporary? 31:34 Career advice for the AI era 37:19 The skills that matter now 40:08 Every 📧 as an AI research lab 42:25 The coherence problem 45:25 Rapid-fire questions 48:00 Super-intelligence by 2030? 50:44 Life after superintelligence 52:07 The questions Dan is living 53:02 Give yourself permission

Jonny Miller

95,132 Aufrufe • vor 2 Monaten

Being early to SEO helped Dharmesh Shah build HubSpot into a $30B company. Now he's obsessed with something new: AI ranking. It's how to show up when people ask ChatGPT for recommendations instead of Googling. I sat down with him to break down the entire playbook: 0:00 Intro 0:53 The AI ranking opportunity (AEO) 6:14 How to rank in AI chatbots 8:11 Using AI to adapt content for AEO 12:24 Training teams on "AI Intuition" 19:45 Content moats in the AI-slop era 21:57 Dharmesh's new AI agent startup 30:33 AI agent monetization strategy 39:38 The bottlenecks to autonomous agents 45:15 Building teams: humans vs agents 52:49 Why Dharmesh still codes as a billionaire

Being early to SEO helped Dharmesh Shah build HubSpot into a $30B company. Now he's obsessed with something new: AI ranking. It's how to show up when people ask ChatGPT for recommendations instead of Googling. I sat down with him to break down the entire playbook: 0:00 Intro 0:53 The AI ranking opportunity (AEO) 6:14 How to rank in AI chatbots 8:11 Using AI to adapt content for AEO 12:24 Training teams on "AI Intuition" 19:45 Content moats in the AI-slop era 21:57 Dharmesh's new AI agent startup 30:33 AI agent monetization strategy 39:38 The bottlenecks to autonomous agents 45:15 Building teams: humans vs agents 52:49 Why Dharmesh still codes as a billionaire

Rowan Cheung

211,903 Aufrufe • vor 9 Monaten

Just after Gemini 3 was released, OpenAI's research chief Mark Chen stopped by to chat. Here's our full Core Memory pod with Mark. We start with the Great Recruitment Wars and then get into Mark's career and how OpenAI's research arm works and the tricks the company thinks it has up its sleeve. Think you'll learn more about Mark's personality than ever before. This pod is brought to you by Brex. We run our company on Brex, and you should too. It's also made possible by the investing gurus E1 Ventures 🇺🇸. Timestamps 00:00:00 Intro 00:05:02 Allocating Compute and Priorities 00:08:36 Finding the Next AI Paradigm 00:14:14 Research vs. Engineering Dichotomy 00:16:25 Gemini 3 and Math Puzzles 00:20:07 AI’s "Move 37" Moment 00:28:42 ChatGPT Replacing Technical Interviews 00:35:58 From Wall Street to AI 00:44:26 Joining Early OpenAI in 2018 00:48:08 Inside the OpenAI Coup 00:53:46 Impact of Losing Top Researchers 01:00:10 Is AI Scaling Dead? 01:09:29 Automating Nobel Prize Discoveries 01:13:43 Automating Research 01:15:35 The Insatiable Demand for Compute 01:18:23 Jony Ive and AI Hardware 01:27:50 Reaction to China’s DeepSeek 01:34:03 Preventing Scheming AI Models

Just after Gemini 3 was released, OpenAI's research chief Mark Chen stopped by to chat. Here's our full Core Memory pod with Mark. We start with the Great Recruitment Wars and then get into Mark's career and how OpenAI's research arm works and the tricks the company thinks it has up its sleeve. Think you'll learn more about Mark's personality than ever before. This pod is brought to you by Brex. We run our company on Brex, and you should too. It's also made possible by the investing gurus E1 Ventures 🇺🇸. Timestamps 00:00:00 Intro 00:05:02 Allocating Compute and Priorities 00:08:36 Finding the Next AI Paradigm 00:14:14 Research vs. Engineering Dichotomy 00:16:25 Gemini 3 and Math Puzzles 00:20:07 AI’s "Move 37" Moment 00:28:42 ChatGPT Replacing Technical Interviews 00:35:58 From Wall Street to AI 00:44:26 Joining Early OpenAI in 2018 00:48:08 Inside the OpenAI Coup 00:53:46 Impact of Losing Top Researchers 01:00:10 Is AI Scaling Dead? 01:09:29 Automating Nobel Prize Discoveries 01:13:43 Automating Research 01:15:35 The Insatiable Demand for Compute 01:18:23 Jony Ive and AI Hardware 01:27:50 Reaction to China’s DeepSeek 01:34:03 Preventing Scheming AI Models

Ashlee Vance

80,718 Aufrufe • vor 10 Monaten