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Deep Dive Video: Complex image editing used to take hours — now Google's Gemini 2.0 turns advanced ComfyUI & Photoshop workflows into simple text prompts. Here's exactly how to try it (completely free). Chapters: 00:00 Conversational Editing with Google's Multimodal AI 00:53 Image Generation w/ LLM World Knowledge 02:12... Easy Image Editing & Colorization 02:46 Advanced Conversational Edits (Chaining Prompts Together) 03:37 Long Text Generation (Google Beats OpenAI To The Punch) 04:25 Making Spicy Memes (Google AI Studio Safety Settings) 05:48 Advanced Prompting (One Shot ComfyUI Workflows) 07:19 Re-posing Characters (While Keeping Likeness Intact) 08:27 Spatial 3D Understanding (NO ControlNet) 10:42 Semantic Editing & In/Out Painting 13:46 Sprite Sheets & Animation Keyframes 14:40 Using Gemini To Build Image Editing Apps 16:37 Making Videos w/ Conversational Editingshow more

Bilawal Sidhu

66,504 subscribers

34,755 Aufrufe • vor 1 Jahr •via X (Twitter)

Wissenschaft & Technologie Kunst

Anya Rossi• Live Now

Private livecam show

16 Kommentare

Profilbild von Bilawal Sidhu

Bilawal Sidhuvor 1 Jahr

For those who prefer YT (w/ chapters):

Profilbild von Boxem

Boxemvor 2 Jahren

It's simple. The faster your Amazon business is, the more money you make And Boxem makes your shipping faster than ever & our custom 2D barcodes have led to faster check-in times Get a free trial today:

Profilbild von TacticalRNDR ⭕️

TacticalRNDR ⭕️vor 1 Jahr

Keep up the great content. You are my most valued follow this year.

Profilbild von Bilawal Sidhu

Bilawal Sidhuvor 1 Jahr

Appreciate it!

Profilbild von Bilal

Bilalvor 1 Jahr

Love it! Thanks for featuring Hacky Experiments! 🙏

Profilbild von Bilawal Sidhu

Bilawal Sidhuvor 1 Jahr

My pleasure! Keep hacking, and lean into some wildness — the failure cases were almost more fun that the utilitarian ones lol

Profilbild von John Nack

John Nackvor 1 Jahr

Nice, I look forward to checking it out! Meanwhile, in case you and @oliver_wang2 don’t yet know one another, let’s fix that. 😌

Profilbild von Bilawal Sidhu

Bilawal Sidhuvor 1 Jahr

@oliver_wang2 Thanks dude. We’re mutuals on X but we should def chat sometime Oliver!

Profilbild von VentureMind AI

VentureMind AIvor 1 Jahr

Thanks for this breakdown!

Profilbild von Neville Medhora

Neville Medhoravor 1 Jahr

Sweet!

Profilbild von Dexter | FeelDesign AI, Comfy UI, Interior Design

Dexter | FeelDesign AI, Comfy UI, Interior Designvor 1 Jahr

how to show all the x accounts you mentioned in the videos?

Profilbild von Bilawal Sidhu

Bilawal Sidhuvor 1 Jahr

Check out the video on YouTube — links to the x posts are in the description:

Profilbild von A T Wilkinson

A T Wilkinsonvor 1 Jahr

I’ve noticed the output quality to not be ideal, so a few other things would have to happen in post to fix this unless Google begins to natively output hq images. They are able in their other models but this one is not based on Imagen 3, or so it has told me.

Profilbild von BowtiedWhitebat + Read Pinned Tweet or NGMI

BowtiedWhitebat + Read Pinned Tweet or NGMIvor 1 Jahr

bilaw imagine just WHAT DEY HAVE HIDDEN

Profilbild von Bilawal Sidhu

Bilawal Sidhuvor 1 Jahr

Dude I bet there’s some really advanced tech in a few narrow domains but I legit think as far as gen ai goes we’re all on the same roller coaster together

Profilbild von Bill Platt

Bill Plattvor 1 Jahr

Thank you for this @bilawalsidhu !!

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Matt Turck

51,317 Aufrufe • vor 7 Monaten

FSD V14.1.7 - First Impressions Drive Here is my first narrated drive on v14.1.7, during the drive a lot happens, so I think this video is worth the watch. I discuss what is new in this update, talk about a coaster giveaway, show some issues that still exist in 14.1.7, and get VERY close to getting into an accident. Enjoy Chapters 00:00 What is new in 14.1.7 00:50 3D Buildings 01:35 Dashcam Viewer Update 01:47 New scroll wheel functions 02:15 Starting the drive 02:40 Car dodging for no reasons 02:50 Disengagement on 14.1.7 03:40 Overall smoothness seems improved 04:25 Road full of leafs and it does a good job 05:25 14.1.7 Seems to be going 'wide' already 05:45 Improving live stream quality soon 06:50 Interesting situation with Amazon vehicle 07:22 Google maps now shows supercharging status 08:45 Map data is FSDs biggest issue 09:30 Complete stop in roundabout for an approaching vehicle 10:00 My thoughts on peoples first impressions on 14.1.7 11:20 What is the Tesla Holiday Update 11:45 Carplay being added? 13:00 My top request for the Holiday update 13:25 Demonstrating how the nag is reduced 14:40 Elons says 14.x will let you text and drive 15:46 Lane indecision 16:37 Giving Away a Tesla Coaster! 17:35 My Austin/Robotaxi video is coming soon 17:50 Great job after a car pulls out infront of us 18:25 Tron mode and Santa Mode 19:25 Entering parking lot 20:25 Showcasing Tron 21:25 Robotaxi vs Uber 21:15 Great job through a road closure 22:50 Showcasing Grok 25:30 Entering Supercharger parking lot 27:10 V14 is much safer than V13 28:20 Showcasing nag again 30:00 Costco Destination Parking 33:35 Leaving Costco 34:00 My thoughts on FSD 35:20 Tesla lets you rent before you buy 38:18 VERY close to an accident

FSD V14.1.7 - First Impressions Drive Here is my first narrated drive on v14.1.7, during the drive a lot happens, so I think this video is worth the watch. I discuss what is new in this update, talk about a coaster giveaway, show some issues that still exist in 14.1.7, and get VERY close to getting into an accident. Enjoy Chapters 00:00 What is new in 14.1.7 00:50 3D Buildings 01:35 Dashcam Viewer Update 01:47 New scroll wheel functions 02:15 Starting the drive 02:40 Car dodging for no reasons 02:50 Disengagement on 14.1.7 03:40 Overall smoothness seems improved 04:25 Road full of leafs and it does a good job 05:25 14.1.7 Seems to be going 'wide' already 05:45 Improving live stream quality soon 06:50 Interesting situation with Amazon vehicle 07:22 Google maps now shows supercharging status 08:45 Map data is FSDs biggest issue 09:30 Complete stop in roundabout for an approaching vehicle 10:00 My thoughts on peoples first impressions on 14.1.7 11:20 What is the Tesla Holiday Update 11:45 Carplay being added? 13:00 My top request for the Holiday update 13:25 Demonstrating how the nag is reduced 14:40 Elons says 14.x will let you text and drive 15:46 Lane indecision 16:37 Giving Away a Tesla Coaster! 17:35 My Austin/Robotaxi video is coming soon 17:50 Great job after a car pulls out infront of us 18:25 Tron mode and Santa Mode 19:25 Entering parking lot 20:25 Showcasing Tron 21:25 Robotaxi vs Uber 21:15 Great job through a road closure 22:50 Showcasing Grok 25:30 Entering Supercharger parking lot 27:10 V14 is much safer than V13 28:20 Showcasing nag again 30:00 Costco Destination Parking 33:35 Leaving Costco 34:00 My thoughts on FSD 35:20 Tesla lets you rent before you buy 38:18 VERY close to an accident

Devin Olsen

16,847 Aufrufe • vor 9 Monaten

My dear friend, Vlad Tenev, changed the landscape of investing forever! The rise of the retail investor is largely due to Robinhood's success... and in this new Journey Man, we discuss it all... Enjoy! 00:00 - Intro 00:53 - Introducing Vlad Tenev of Robinhood 01:27 - Why Take on Wall Street? 01:54 - Robinhood’s Zero-Fee Origin Story 02:53 - Inspiration from Instagram and Uber 04:24 - Reimagining Trading for Mobile 05:05 - The Challenge of Disrupting Finance 05:42 - Why Everything Is Hard 06:34 - Early Wrong Assumptions 07:42 - Raising Capital with a Small Vision 08:48 - Funding Robinhood on AngelList 09:50 - Early Investors Changed Their Lives 10:38 - The Crypto Explosion Begins 11:07 - Considering a Bitcoin Exchange First 12:17 - Bitcoin’s Early Skepticism and Growth 13:08 - Robinhood Launches Crypto in 2018 14:03 - 2020: Crypto Revenue Surges Overnight 15:04 - The Challenge of Crypto Cyclicality 16:11 - Staffing a Volatile Business 17:10 - Building Robinhood’s Lean Crypto Team 18:46 - Robinhood’s First Crypto Event Coming 19:38 - Where TradFi Meets DeFi 20:34 - Tokenizing Everything 21:09 - Robinhood’s Vision for Crypto + Finance 21:47 - Thoughts on Crypto Options Demand 23:04 - Why Crypto Options Haven’t Taken Off 24:09 - Millennials and the Speculative Economy 25:22 - Democratizing Trading for Everyone 26:08 - Why Buy-and-Hold Doesn’t Work for All 27:15 - Trading vs Investing: A Matter of Wealth 28:01 - Trading as a Skill Anyone Can Build 29:13 - Robinhood’s Role in Onboarding Millions 30:06 - The Fed's Role and Retail Insight 31:03 - The Rise of the Retail Macro Trader 32:17 - Helping Users Succeed with Robinhood Strategies 33:35 - Power of Community and the Hive Mind 34:55 - Will AI Disrupt Community Too? 36:14 - Technological Waves and Investor Opportunity 37:10 - Human Purpose in an AI World 37:52 - Tokenizing Human Connection 38:28 - Creators, Platforms, and Future-Proofing 39:26 - Vlad’s Long-Term View of the Future 40:05 - Financial Services at the Heart of Disruption 41:14 - If AI Replaces Jobs, What Happens to Investing? 42:25 - Entering the Economic Singularity 43:31 - What Happens When AIs Win the Markets? 44:16 - AI's Role in Capital and Markets 45:07 - Will AI Eliminate Human Emotion from Markets? 46:06 - HFT: The Original AI Traders 47:20 - AI and Long-Term Probabilistic Forecasting 48:48 - GPUs, Gaming, and the Origins of AI 50:01 - Nvidia, CUDA, and Wall Street Arms Races 51:04 - Flash Boys and Microwave Trading 51:54 - Will AI Costs Go to Zero? 52:52 - Lower Cost, Higher Usage 53:41 - Robinhood’s UX Won’t Be Just a Chatbox 55:16 - Cortex: AI-Powered Features at Robinhood 56:54 - Tokenization and the Future of Asset Management 57:44 - Crowdsourced, Tokenized Hedge Funds 58:48 - Portability of Tokenized Assets 59:39 - Blockchain as the New Rails of Finance 01:00:09 - The Trump Token and Capital Formation 01:01:00 - Capital Access Unlocks Innovation 01:01:49 - Why Crypto Needs Regulatory Clarity 01:03:17 - From Meme Coins to Real Assets 01:04:17 - Crypto's Path to $100 Trillion? 01:05:15 - The Financial System Will Run on Blockchains 01:06:00 - Platform Layer vs Application Layer Wealth 01:06:29 - AI Raises Money and Launches Tokens 01:07:39 - AIs Creating Software and Capital Formation 01:08:00 - Final Thoughts: A Wild Future Ahead 01:08:20 - When Will Vlad Buy a CryptoPunk? 01:08:51 - Wrapping Up: AI, Crypto, and the Road Ahead

My dear friend, Vlad Tenev, changed the landscape of investing forever! The rise of the retail investor is largely due to Robinhood's success... and in this new Journey Man, we discuss it all... Enjoy! 00:00 - Intro 00:53 - Introducing Vlad Tenev of Robinhood 01:27 - Why Take on Wall Street? 01:54 - Robinhood’s Zero-Fee Origin Story 02:53 - Inspiration from Instagram and Uber 04:24 - Reimagining Trading for Mobile 05:05 - The Challenge of Disrupting Finance 05:42 - Why Everything Is Hard 06:34 - Early Wrong Assumptions 07:42 - Raising Capital with a Small Vision 08:48 - Funding Robinhood on AngelList 09:50 - Early Investors Changed Their Lives 10:38 - The Crypto Explosion Begins 11:07 - Considering a Bitcoin Exchange First 12:17 - Bitcoin’s Early Skepticism and Growth 13:08 - Robinhood Launches Crypto in 2018 14:03 - 2020: Crypto Revenue Surges Overnight 15:04 - The Challenge of Crypto Cyclicality 16:11 - Staffing a Volatile Business 17:10 - Building Robinhood’s Lean Crypto Team 18:46 - Robinhood’s First Crypto Event Coming 19:38 - Where TradFi Meets DeFi 20:34 - Tokenizing Everything 21:09 - Robinhood’s Vision for Crypto + Finance 21:47 - Thoughts on Crypto Options Demand 23:04 - Why Crypto Options Haven’t Taken Off 24:09 - Millennials and the Speculative Economy 25:22 - Democratizing Trading for Everyone 26:08 - Why Buy-and-Hold Doesn’t Work for All 27:15 - Trading vs Investing: A Matter of Wealth 28:01 - Trading as a Skill Anyone Can Build 29:13 - Robinhood’s Role in Onboarding Millions 30:06 - The Fed's Role and Retail Insight 31:03 - The Rise of the Retail Macro Trader 32:17 - Helping Users Succeed with Robinhood Strategies 33:35 - Power of Community and the Hive Mind 34:55 - Will AI Disrupt Community Too? 36:14 - Technological Waves and Investor Opportunity 37:10 - Human Purpose in an AI World 37:52 - Tokenizing Human Connection 38:28 - Creators, Platforms, and Future-Proofing 39:26 - Vlad’s Long-Term View of the Future 40:05 - Financial Services at the Heart of Disruption 41:14 - If AI Replaces Jobs, What Happens to Investing? 42:25 - Entering the Economic Singularity 43:31 - What Happens When AIs Win the Markets? 44:16 - AI's Role in Capital and Markets 45:07 - Will AI Eliminate Human Emotion from Markets? 46:06 - HFT: The Original AI Traders 47:20 - AI and Long-Term Probabilistic Forecasting 48:48 - GPUs, Gaming, and the Origins of AI 50:01 - Nvidia, CUDA, and Wall Street Arms Races 51:04 - Flash Boys and Microwave Trading 51:54 - Will AI Costs Go to Zero? 52:52 - Lower Cost, Higher Usage 53:41 - Robinhood’s UX Won’t Be Just a Chatbox 55:16 - Cortex: AI-Powered Features at Robinhood 56:54 - Tokenization and the Future of Asset Management 57:44 - Crowdsourced, Tokenized Hedge Funds 58:48 - Portability of Tokenized Assets 59:39 - Blockchain as the New Rails of Finance 01:00:09 - The Trump Token and Capital Formation 01:01:00 - Capital Access Unlocks Innovation 01:01:49 - Why Crypto Needs Regulatory Clarity 01:03:17 - From Meme Coins to Real Assets 01:04:17 - Crypto's Path to $100 Trillion? 01:05:15 - The Financial System Will Run on Blockchains 01:06:00 - Platform Layer vs Application Layer Wealth 01:06:29 - AI Raises Money and Launches Tokens 01:07:39 - AIs Creating Software and Capital Formation 01:08:00 - Final Thoughts: A Wild Future Ahead 01:08:20 - When Will Vlad Buy a CryptoPunk? 01:08:51 - Wrapping Up: AI, Crypto, and the Road Ahead

Raoul Pal

172,640 Aufrufe • vor 1 Jahr

"Aging is the process of a complex system slowly falling into its chaotic disequilibrium. And it's not like evolution necessarily even set a lifespan for us. It is merely the result of, once the system has been established, how long its intrinsic property stayed ordered before it became disordered." I’m excited to share my conversation with Jacob Kimmel of NewLimit. Every species who has ever lived has one shared certainty: we’ll age, decay, and die. Jacob and his team are among the small group of people on earth with the expertise and funding to work on this problem. We talked about why we age, whether cellular aging can actually be reversed, how evolution shaped our lifespan and our peaks, and how AI is fundamentally changing the next era of science. Recorded at New Limit’s HQ in South San Francisco. Timestamps: 00:00 Intro 01:25 Why Evolution Limits Lifespan 03:13 Evolution Tradeoffs Explained 07:44 Why Women Live Longer 10:15 Lessons from Long Lived Species 16:20 Peak Intelligence 23:26 What is Aging? 27:59 Yamanaka Factors 32:18 New Limit 33:56 AI's Role in Progress 37:28 Organ by Organ Longevity 40:28 Is Immortality Possible? 42:04 Lifespan Progress 45:44 How to Test Longevity Drugs 49:30 Placebo Mind Body Link 53:56 What longevity hacks actually work? 57:25 Peptides And Stem Cells 01:00:34 Gene Editing 01:05:10 Personalized Medicine 01:08:48 Philosophical Dilemmas of Longer Lifespans 01:14:57 Living Off Earth 01:16:55 AI And Bio Risks

"Aging is the process of a complex system slowly falling into its chaotic disequilibrium. And it's not like evolution necessarily even set a lifespan for us. It is merely the result of, once the system has been established, how long its intrinsic property stayed ordered before it became disordered." I’m excited to share my conversation with Jacob Kimmel of NewLimit. Every species who has ever lived has one shared certainty: we’ll age, decay, and die. Jacob and his team are among the small group of people on earth with the expertise and funding to work on this problem. We talked about why we age, whether cellular aging can actually be reversed, how evolution shaped our lifespan and our peaks, and how AI is fundamentally changing the next era of science. Recorded at New Limit’s HQ in South San Francisco. Timestamps: 00:00 Intro 01:25 Why Evolution Limits Lifespan 03:13 Evolution Tradeoffs Explained 07:44 Why Women Live Longer 10:15 Lessons from Long Lived Species 16:20 Peak Intelligence 23:26 What is Aging? 27:59 Yamanaka Factors 32:18 New Limit 33:56 AI's Role in Progress 37:28 Organ by Organ Longevity 40:28 Is Immortality Possible? 42:04 Lifespan Progress 45:44 How to Test Longevity Drugs 49:30 Placebo Mind Body Link 53:56 What longevity hacks actually work? 57:25 Peptides And Stem Cells 01:00:34 Gene Editing 01:05:10 Personalized Medicine 01:08:48 Philosophical Dilemmas of Longer Lifespans 01:14:57 Living Off Earth 01:16:55 AI And Bio Risks

Sabrina Halper

20,401 Aufrufe • vor 29 Tagen

Failing to Understand the Exponential, Again? My conversation with Julian Schrittwieser - Julian Schrittwieser (Anthropic, AlphaGo Zero, MuZero) - on Move 37, Scaling RL, Nobel Prize for AI, and the AI frontier: 00:00 - Cold open: “We’re not seeing any slowdown.” 00:32 - Intro — Meet Julian 01:09 - The “exponential” from inside frontier labs 04:46 - 2026–2027: agents that work a full day; expert-level breadth 08:58 - Benchmarks vs reality: long-horizon work, GDP-Val, user value 10:26 - Move 37 — what actually happened and why it mattered 13:55 - Novel science: AlphaCode/AlphaTensor → when does AI earn a Nobel? 16:25 - Discontinuity vs smooth progress (and warning signs) 19:08 - Does pre-training + RL get us there? (AGI debates aside) 20:55 - Sutton’s “RL from scratch”? Julian’s take 23:03 - Julian’s path: Google → DeepMind → Anthropic 26:45 - AlphaGo (learn + search) in plain English 30:16 - AlphaGo Zero (no human data) 31:00 - AlphaZero (one algorithm: Go, chess, shogi) 31:46 - MuZero (planning with a learned world model) 33:23 -Lessons for today’s agents: search + learning at scale 34:57 - Do LLMs already have implicit world models? 39:02 - Why RL on LLMs took time (stability, feedback loops) 41:43 - Compute & scaling for RL — what we see so far 42:35 - Rewards frontier: human prefs, rubrics, RLVR, process rewards 44:36 - RL training data & the “flywheel” (and why quality matters) 48:02 - RL & Agents 101 — why RL unlocks robustness 50:51 - Should builders use RL-as-a-service? Or just tools + prompts? 52:18 - What’s missing for dependable agents (capability vs engineering) 53:51 - Evals & Goodhart — internal vs external benchmarks 57:35 - Mechanistic interpretability & “Golden Gate Claude” 1:00:03 - Safety & alignment at Anthropic — how it shows up in practice 1:03:48 - Jobs: human–AI complementarity (comparative advantage) 1:06:33 - Inequality, policy, and the case for 10× productivity → abundance 1:09:24 - Closing thoughts

Failing to Understand the Exponential, Again? My conversation with Julian Schrittwieser - Julian Schrittwieser (Anthropic, AlphaGo Zero, MuZero) - on Move 37, Scaling RL, Nobel Prize for AI, and the AI frontier: 00:00 - Cold open: “We’re not seeing any slowdown.” 00:32 - Intro — Meet Julian 01:09 - The “exponential” from inside frontier labs 04:46 - 2026–2027: agents that work a full day; expert-level breadth 08:58 - Benchmarks vs reality: long-horizon work, GDP-Val, user value 10:26 - Move 37 — what actually happened and why it mattered 13:55 - Novel science: AlphaCode/AlphaTensor → when does AI earn a Nobel? 16:25 - Discontinuity vs smooth progress (and warning signs) 19:08 - Does pre-training + RL get us there? (AGI debates aside) 20:55 - Sutton’s “RL from scratch”? Julian’s take 23:03 - Julian’s path: Google → DeepMind → Anthropic 26:45 - AlphaGo (learn + search) in plain English 30:16 - AlphaGo Zero (no human data) 31:00 - AlphaZero (one algorithm: Go, chess, shogi) 31:46 - MuZero (planning with a learned world model) 33:23 -Lessons for today’s agents: search + learning at scale 34:57 - Do LLMs already have implicit world models? 39:02 - Why RL on LLMs took time (stability, feedback loops) 41:43 - Compute & scaling for RL — what we see so far 42:35 - Rewards frontier: human prefs, rubrics, RLVR, process rewards 44:36 - RL training data & the “flywheel” (and why quality matters) 48:02 - RL & Agents 101 — why RL unlocks robustness 50:51 - Should builders use RL-as-a-service? Or just tools + prompts? 52:18 - What’s missing for dependable agents (capability vs engineering) 53:51 - Evals & Goodhart — internal vs external benchmarks 57:35 - Mechanistic interpretability & “Golden Gate Claude” 1:00:03 - Safety & alignment at Anthropic — how it shows up in practice 1:03:48 - Jobs: human–AI complementarity (comparative advantage) 1:06:33 - Inequality, policy, and the case for 10× productivity → abundance 1:09:24 - Closing thoughts

Matt Turck

235,526 Aufrufe • vor 9 Monaten

Real agents will not be limited by models first. They will be limited by data access. Max from Teneo Protocol joins the Acc Podcast to unpack why public web data is getting locked behind walls, and what permissionless infrastructure could unlock for builders, businesses, and the agent economy. Max Full conversation below. 👇 00:00 Intro + what we are covering 01:17 Teneo in one line (elevator pitch) 02:07 Why it matters - users as data owners, not “data lords” 04:06 Max’s origin story + how he got into Web3 05:02 Early days - Ethereum mining, rigs, learnings 05:35 The founding team - 4 co-founders, 8 years together 06:38 The pivot - how Teneo was born 08:19 Product overview - Community Node as the foundation 10:35 Chatroom - the simple UI for specialized agents (private beta) 11:41 SDKs - building on Teneo (customer SDK + agent SDK) 14:17 AI agents era - why real-time data access is the bottleneck 19:27 The core problem - APIs locked down, access gets expensive 22:36 What Max does day to day as CEO 26:28 How to start with Teneo - beginner to advanced paths 30:08 Lessons from pivots + building with the right team 33:08 Ops advice - trust and the right people 35:16 2-10 year landscape - data pipelines, cost barriers, opportunity 37:26 What’s live now + how people contribute today 38:50 Agent SDK launch - early feedback and traction 39:56 Next 6-12 months - pushing more open source 42:36 Awareness + surprising use cases (example: government PDFs) 46:00 Speed, latency, and agent-to-agent payments (microtransactions) 48:38 Web3 adoption - users won’t notice, it just needs to work 51:07 What’s next + closing thoughts + where to get involved

Real agents will not be limited by models first. They will be limited by data access. Max from Teneo Protocol joins the Acc Podcast to unpack why public web data is getting locked behind walls, and what permissionless infrastructure could unlock for builders, businesses, and the agent economy. Max Full conversation below. 👇 00:00 Intro + what we are covering 01:17 Teneo in one line (elevator pitch) 02:07 Why it matters - users as data owners, not “data lords” 04:06 Max’s origin story + how he got into Web3 05:02 Early days - Ethereum mining, rigs, learnings 05:35 The founding team - 4 co-founders, 8 years together 06:38 The pivot - how Teneo was born 08:19 Product overview - Community Node as the foundation 10:35 Chatroom - the simple UI for specialized agents (private beta) 11:41 SDKs - building on Teneo (customer SDK + agent SDK) 14:17 AI agents era - why real-time data access is the bottleneck 19:27 The core problem - APIs locked down, access gets expensive 22:36 What Max does day to day as CEO 26:28 How to start with Teneo - beginner to advanced paths 30:08 Lessons from pivots + building with the right team 33:08 Ops advice - trust and the right people 35:16 2-10 year landscape - data pipelines, cost barriers, opportunity 37:26 What’s live now + how people contribute today 38:50 Agent SDK launch - early feedback and traction 39:56 Next 6-12 months - pushing more open source 42:36 Awareness + surprising use cases (example: government PDFs) 46:00 Speed, latency, and agent-to-agent payments (microtransactions) 48:38 Web3 adoption - users won’t notice, it just needs to work 51:07 What’s next + closing thoughts + where to get involved

Acc Ventures

43,976 Aufrufe • vor 7 Monaten

Voice used to be AI’s forgotten modality - now it's having its big moment: rapid innovation, big funding rounds, major agentic applications My conversation with Neil Zeghidour, top AI researcher in the field (Google DeepMind, Meta, kyutai) and now CEO of Gradium This is a reference episode on all things voice AI 🔥 00:00 Intro 01:21 Voice AI’s big moment, and why we’re still early 03:34 Why voice lagged behind text/image/video 06:06 The convergence era: transformers for every modality 07:40 Beyond Her: always-on assistants, wake words, voice-first devices 11:01 Voice vs text: where voice fits (even for coding) 12:56 Neil’s origin story: from finance to machine learning, with help from Yann LeCun and Soumith Chintala 18:35 Neural codecs (SoundStream): compression as the unlock 22:30 Kyutai: open research, small elite teams, moving fast 31:32 Why big labs haven’t “won” voice AI4 34:01 On-device voice: where it works, why compact models matter 46:37 The last mile: real-world robustness, pronunciation, uptime 41:35 Benchmarking voice: why metrics fail, how they actually test 47:03 Cascades vs speech-to-speech: trade-offs + what’s next 54:05 Hardest frontier: noisy rooms, factories, multi-speaker chaos 1:00:50 New languages + dialects: what transfers, what doesn’t 1:02:54 Hardware & compute: why voice isn’t a 10,000-GPU game 1:07:27 What data do you need to train voice models 1:09:02 Deepfakes + privacy: why watermarking isn’t a solution 1:12:30 Voice + vision: multimodality, screen awareness, video+audio 1:14:43 Voice cloning vs voice design: where the market goes 1:16:32 Paris/Europe AI: talent density, underdog energy, what’s next

Voice used to be AI’s forgotten modality - now it's having its big moment: rapid innovation, big funding rounds, major agentic applications My conversation with Neil Zeghidour, top AI researcher in the field (Google DeepMind, Meta, kyutai) and now CEO of Gradium This is a reference episode on all things voice AI 🔥 00:00 Intro 01:21 Voice AI’s big moment, and why we’re still early 03:34 Why voice lagged behind text/image/video 06:06 The convergence era: transformers for every modality 07:40 Beyond Her: always-on assistants, wake words, voice-first devices 11:01 Voice vs text: where voice fits (even for coding) 12:56 Neil’s origin story: from finance to machine learning, with help from Yann LeCun and Soumith Chintala 18:35 Neural codecs (SoundStream): compression as the unlock 22:30 Kyutai: open research, small elite teams, moving fast 31:32 Why big labs haven’t “won” voice AI4 34:01 On-device voice: where it works, why compact models matter 46:37 The last mile: real-world robustness, pronunciation, uptime 41:35 Benchmarking voice: why metrics fail, how they actually test 47:03 Cascades vs speech-to-speech: trade-offs + what’s next 54:05 Hardest frontier: noisy rooms, factories, multi-speaker chaos 1:00:50 New languages + dialects: what transfers, what doesn’t 1:02:54 Hardware & compute: why voice isn’t a 10,000-GPU game 1:07:27 What data do you need to train voice models 1:09:02 Deepfakes + privacy: why watermarking isn’t a solution 1:12:30 Voice + vision: multimodality, screen awareness, video+audio 1:14:43 Voice cloning vs voice design: where the market goes 1:16:32 Paris/Europe AI: talent density, underdog energy, what’s next

Matt Turck

22,949 Aufrufe • vor 5 Monaten

🎧🍌 New The Peel with Ankur Goyal Ankur is the Founder and CEO of @braintrustdata, the end to end developer platform for building the world's best AI products. Their customers include companies like Instacart, Zapier, Notion, Airtable, Replit, and more. We hit on the importance of LLM evals, advice for building AI products, why the best companies have two AI product roadmaps, how he hates meetings, and all his non-conventional advice for founders. Watch below or links in the replies! Timestamps: 04:04 Why everyone’s now an AI company 06:03 Reasons LLM evals are so important 09:19 Replacing vibe checks with Braintrust 10:37 Making OpenAI’s protocols the standard 11:27 Why the best companies have two AI roadmaps 13:06 Build your product so each LLM release makes it better 14:54 Predicting AGI is impossible 15:54 Why people who work with LLMs aren’t worried about AI safety 16:52 The best developers are all-in on co-pilots 18:11 How AI is changing software development 21:09 Combining IDE, CI/DC, and observability in one product 27:18 Are models more like CPU’s or relational databases? 30:14 How to pick an LLM 33:00 Advice for staying on top of new AI developments 34:30 Why tool calling is so important 38:02 Advice for young software engineers 40:25 Learning to code doing linear algebra homework 42:36 Lack of purpose interning in big tech 44:07 Working at MemSQL learning to be a founder 47:52 How to get a job at a startup 50:43 Building his first startups product on an flight 52:39 Three lessons from his first failed startup 54:46 Don’t delegate what you’re good at 55:46 Why you should be careful listening to VCs advice 57:34 Tactics for successful delegation 59:36 Why Ankur hates meetings 1:02:42 The importance of self-service in unlocking certain customer segments 1:05:14 How Braintrust got started 1:07:45 Advice on picking your target customers 1:10:35 How Braintrust hires with work trials 1:15:21 Balancing security with a modern UI 1:17:49 Why it’s hard to sell non-AI products right now 1:19:21 Advice for selling to large enterprises 1:23:10 Ankur’s favorite AI products

🎧🍌 New The Peel with Ankur Goyal Ankur is the Founder and CEO of @braintrustdata, the end to end developer platform for building the world's best AI products. Their customers include companies like Instacart, Zapier, Notion, Airtable, Replit, and more. We hit on the importance of LLM evals, advice for building AI products, why the best companies have two AI product roadmaps, how he hates meetings, and all his non-conventional advice for founders. Watch below or links in the replies! Timestamps: 04:04 Why everyone’s now an AI company 06:03 Reasons LLM evals are so important 09:19 Replacing vibe checks with Braintrust 10:37 Making OpenAI’s protocols the standard 11:27 Why the best companies have two AI roadmaps 13:06 Build your product so each LLM release makes it better 14:54 Predicting AGI is impossible 15:54 Why people who work with LLMs aren’t worried about AI safety 16:52 The best developers are all-in on co-pilots 18:11 How AI is changing software development 21:09 Combining IDE, CI/DC, and observability in one product 27:18 Are models more like CPU’s or relational databases? 30:14 How to pick an LLM 33:00 Advice for staying on top of new AI developments 34:30 Why tool calling is so important 38:02 Advice for young software engineers 40:25 Learning to code doing linear algebra homework 42:36 Lack of purpose interning in big tech 44:07 Working at MemSQL learning to be a founder 47:52 How to get a job at a startup 50:43 Building his first startups product on an flight 52:39 Three lessons from his first failed startup 54:46 Don’t delegate what you’re good at 55:46 Why you should be careful listening to VCs advice 57:34 Tactics for successful delegation 59:36 Why Ankur hates meetings 1:02:42 The importance of self-service in unlocking certain customer segments 1:05:14 How Braintrust got started 1:07:45 Advice on picking your target customers 1:10:35 How Braintrust hires with work trials 1:15:21 Balancing security with a modern UI 1:17:49 Why it’s hard to sell non-AI products right now 1:19:21 Advice for selling to large enterprises 1:23:10 Ankur’s favorite AI products

Turner Novak 🍌🧢

44,280 Aufrufe • vor 2 Jahren

College sports are going through massive changes, so Matt Brown (publisher, Extra Points & one of the top experts on the business of college athletics), joined the show to break it all down. We discuss: - Superconference realignment - Why the transfer portal is chaos right now - Why most NIL deals have terrible ROI - How “bag man” money moves - Which teams make the most money - Will athletes become employees? - The full history of college athletics - The class action lawsuit happening now (00:00) Meet Matt Brown: Expert in College Sports Business (03:09) The Origins of College Sports (06:31) The Evolution of College Sports Broadcasting (14:53) Title IX and Its Impact on College Athletics (17:53) The 1984 Supreme Court Decision and Its Aftermath (20:03) The SMU Death Penalty Scandal (22:19) Conference Realignment and the BCS Era (28:22) The Rise of Conference Television Networks (30:23) The Arms Race in College Sports Facilities (34:41) The Role of Boosters in College Sports (36:03) Financial Breakdown of Major College Sports Programs (37:04) Understanding Nonprofit Accounting in College Athletics (38:20) Revenue Generation in College Sports (40:34) Athletics as Enrollment Management (42:04) The Flutie Effect and University Applications (44:37) Conference Realignment and Financial Instability (48:58) The O'Bannon Case and Video Game Licensing (53:59) The Northwestern Unionization Attempt (58:19) The Alston Case and Educational Awards (01:02:11) Name, Image, and Likeness (NIL) Marketplaces (01:05:51) The Role of Collectives in College Sports (01:12:08) Dependability of Young Campaign Partners (01:13:03) Transfer Portal and Its Impact (01:15:56) Rise of NIL Agents and Handlers (01:17:40) Economic Incentives and Transfer Market (01:20:37) Challenges in NIL Enforcement (01:22:48) House Settlement and Future Implications (01:25:38) Allocation of NIL Funds by Universities (01:44:26) Potential Super Leagues and Investment Challenges (01:48:07) Concluding Thoughts on College Sports

College sports are going through massive changes, so Matt Brown (publisher, Extra Points & one of the top experts on the business of college athletics), joined the show to break it all down. We discuss: - Superconference realignment - Why the transfer portal is chaos right now - Why most NIL deals have terrible ROI - How “bag man” money moves - Which teams make the most money - Will athletes become employees? - The full history of college athletics - The class action lawsuit happening now (00:00) Meet Matt Brown: Expert in College Sports Business (03:09) The Origins of College Sports (06:31) The Evolution of College Sports Broadcasting (14:53) Title IX and Its Impact on College Athletics (17:53) The 1984 Supreme Court Decision and Its Aftermath (20:03) The SMU Death Penalty Scandal (22:19) Conference Realignment and the BCS Era (28:22) The Rise of Conference Television Networks (30:23) The Arms Race in College Sports Facilities (34:41) The Role of Boosters in College Sports (36:03) Financial Breakdown of Major College Sports Programs (37:04) Understanding Nonprofit Accounting in College Athletics (38:20) Revenue Generation in College Sports (40:34) Athletics as Enrollment Management (42:04) The Flutie Effect and University Applications (44:37) Conference Realignment and Financial Instability (48:58) The O'Bannon Case and Video Game Licensing (53:59) The Northwestern Unionization Attempt (58:19) The Alston Case and Educational Awards (01:02:11) Name, Image, and Likeness (NIL) Marketplaces (01:05:51) The Role of Collectives in College Sports (01:12:08) Dependability of Young Campaign Partners (01:13:03) Transfer Portal and Its Impact (01:15:56) Rise of NIL Agents and Handlers (01:17:40) Economic Incentives and Transfer Market (01:20:37) Challenges in NIL Enforcement (01:22:48) House Settlement and Future Implications (01:25:38) Allocation of NIL Funds by Universities (01:44:26) Potential Super Leagues and Investment Challenges (01:48:07) Concluding Thoughts on College Sports

The Logan Bartlett Show

23,182 Aufrufe • vor 1 Jahr

I vibe coded a new product on the side while running Every 📧—and today we're launching it for free. It's called Proof, and it’s a live collaborative document editor where humans and AI agents work together in the same doc. It’s built from the ground up for the kinds of documents agents are increasingly writing: bug reports, PRDs, implementation plans, research briefs, copy audits, strategy docs, memos, and proposals. It's fast, free, and open source—available now at Why Proof? When everyone on your team is working with agents, there's suddenly a ton of AI-generated text flying around—planning docs, strategy memos, session recaps. But the current process for collaborating and iterating on agent-generated writing is…weirdly primitive. It mostly takes place in Markdown files on your laptop, which makes it reminiscent of document editing in 1999. That’s why we built Proof. What makes Proof different? - Proof is agent-native. Anything you can do in Proof, your agent can do just as easily. - Proof tracks provenance: A colored rail on the left side of every document tracks who wrote what. Green means human, Purple means AI. - Proof is login-free and open source: This is because we want Proof to be your agent's favorite document editor. How we use Proof Every 📧: - Brandon Gell had OpenAI's Codex write a feature plan in Proof, then tagged my personal Claw (R2-C2) in Slack to review it. R2-C2 left feedback, I added comments, Brandon's agent revised the plan, and then Codex executed on it. Brandon submitted a PR to production without writing a line of code. - Austin Tedesco texts his Claw ideas while he's out on a run, then has it maintain a running Proof doc for his weekly food newsletter. He dictates drafts using Naveen Naidu's Monologue, writes into the outline himself, and uses the provenance gutter to track what's his voice vs. the agent's. - Kieran Klaassen uses it as a lightweight scratchpad for his compound engineering workflow. He brainstorms with an agent in the terminal, shares to Proof with one click, then opens the doc to leave comments and tells the agent to go work on them. His take: Proof's job is to communicate about writing and ideas. Proof is free, open source, and requires no login. I built the whole thing by vibe coding between meetings. I sat down with Brandon, Kieran, and Austin on Every 📧's AI & I to demo it live and talk about how it's changing the way we work. If you're building with agents and need a better way to collaborate on text, this one's for you. Watch below! Timestamps Introduction and the origin story of Proof: 00:02:00 From Mac app to collaborative web editor: 00:07:24 What makes Proof "agent native": 00:09:00 Live demo—watching an agent join and write inside a shared document: 00:14:30 How Austin uses Proof for creative writing and food journalism: 00:20:51 The challenge of multiple agents editing one document simultaneously: 00:24:30 When AI-written docs are better read by agents than by humans: 00:26:48 Brandon's agent-to-agent collaboration loop: 00:29:30 Proof as a lightweight scratchpad versus existing tools like Notion and GitHub: 00:37:09 Why Proof is open source and what that means for builders: 00:42:18

I vibe coded a new product on the side while running Every 📧—and today we're launching it for free. It's called Proof, and it’s a live collaborative document editor where humans and AI agents work together in the same doc. It’s built from the ground up for the kinds of documents agents are increasingly writing: bug reports, PRDs, implementation plans, research briefs, copy audits, strategy docs, memos, and proposals. It's fast, free, and open source—available now at Why Proof? When everyone on your team is working with agents, there's suddenly a ton of AI-generated text flying around—planning docs, strategy memos, session recaps. But the current process for collaborating and iterating on agent-generated writing is…weirdly primitive. It mostly takes place in Markdown files on your laptop, which makes it reminiscent of document editing in 1999. That’s why we built Proof. What makes Proof different? - Proof is agent-native. Anything you can do in Proof, your agent can do just as easily. - Proof tracks provenance: A colored rail on the left side of every document tracks who wrote what. Green means human, Purple means AI. - Proof is login-free and open source: This is because we want Proof to be your agent's favorite document editor. How we use Proof Every 📧: - Brandon Gell had OpenAI's Codex write a feature plan in Proof, then tagged my personal Claw (R2-C2) in Slack to review it. R2-C2 left feedback, I added comments, Brandon's agent revised the plan, and then Codex executed on it. Brandon submitted a PR to production without writing a line of code. - Austin Tedesco texts his Claw ideas while he's out on a run, then has it maintain a running Proof doc for his weekly food newsletter. He dictates drafts using Naveen Naidu's Monologue, writes into the outline himself, and uses the provenance gutter to track what's his voice vs. the agent's. - Kieran Klaassen uses it as a lightweight scratchpad for his compound engineering workflow. He brainstorms with an agent in the terminal, shares to Proof with one click, then opens the doc to leave comments and tells the agent to go work on them. His take: Proof's job is to communicate about writing and ideas. Proof is free, open source, and requires no login. I built the whole thing by vibe coding between meetings. I sat down with Brandon, Kieran, and Austin on Every 📧's AI & I to demo it live and talk about how it's changing the way we work. If you're building with agents and need a better way to collaborate on text, this one's for you. Watch below! Timestamps Introduction and the origin story of Proof: 00:02:00 From Mac app to collaborative web editor: 00:07:24 What makes Proof "agent native": 00:09:00 Live demo—watching an agent join and write inside a shared document: 00:14:30 How Austin uses Proof for creative writing and food journalism: 00:20:51 The challenge of multiple agents editing one document simultaneously: 00:24:30 When AI-written docs are better read by agents than by humans: 00:26:48 Brandon's agent-to-agent collaboration loop: 00:29:30 Proof as a lightweight scratchpad versus existing tools like Notion and GitHub: 00:37:09 Why Proof is open source and what that means for builders: 00:42:18

Dan Shipper 📧

32,905 Aufrufe • vor 5 Monaten

FROM A $50 SALARY IN SYRIA TO A $6M ROUND Episode 5 of PredictTime is live, and you'll hear it from a founder who restarted from zero three times and never sent a single cold email to close his round Ali, founder and CEO of XO Market. We go deep into why 400+ prediction markets are just copies of the same model, why a whale unfairly resolving his Polymarket bet became the tipping point, and how AI agents now decide market outcomes instead of humans Now he's building XO Market, where anyone can turn any idea into a conviction market. Everything you need to know about user-generated markets, XO Vaults and the future of prediction markets is in this episode --- Win 1,000 Conviction Points and get access to XO's weekly parlays with prizes up to $50,000 (we'll pick the winner on July 13): - sign up via the link: -drop your username with your most creative comment or question about the episode and follow Predict Time and XO Market --- Timecodes: 00:00 Intro 00:38 Raising $6M without pitching a single VC 04:29 Why not just copy Polymarket 07:05 Advice for builders: grants over VC money 12:15 Building a team across every continent 15:52 Ali's story: from Syria to Switzerland 19:29 Leaving corporate (Roche) for crypto 22:24 Why raising money is a liability, not a win 25:42 How XO Market conviction markets actually work 29:43 What stops thousands of dead markets 32:41 The tech that gives markets instant liquidity 37:43 How to create your own market 39:14 Getting attention: local communities & ambassadors 44:20 Not the of prediction markets 48:22 Who decides the outcome: AI resolution 51:43 XO Vault: market making for everyone 56:47 The moment XO Market took off 1:02:14 Is prediction market usage exaggerated? 1:05:17 Elon Musk and mention markets 1:07:04 AI vs humans: jobs and the jury system 1:13:56 Are Polymarket & Kalshi overvalued? 1:16:16 What's next: Parlays, Vaults & the World Cup 1:23:06 Is XO Market becoming a sportsbook? 1:25:15 AI agents trading on their own 1:27:40 Regulation & staying permissionless 1:33:08 The investors: 20VC, Harry & a cricket legend 1:44:55 Will there be a token? 1:46:45 Blitz: rapid-fire round 1:52:59 Closing & giveaway

FROM A $50 SALARY IN SYRIA TO A $6M ROUND Episode 5 of PredictTime is live, and you'll hear it from a founder who restarted from zero three times and never sent a single cold email to close his round Ali, founder and CEO of XO Market. We go deep into why 400+ prediction markets are just copies of the same model, why a whale unfairly resolving his Polymarket bet became the tipping point, and how AI agents now decide market outcomes instead of humans Now he's building XO Market, where anyone can turn any idea into a conviction market. Everything you need to know about user-generated markets, XO Vaults and the future of prediction markets is in this episode --- Win 1,000 Conviction Points and get access to XO's weekly parlays with prizes up to $50,000 (we'll pick the winner on July 13): - sign up via the link: -drop your username with your most creative comment or question about the episode and follow Predict Time and XO Market --- Timecodes: 00:00 Intro 00:38 Raising $6M without pitching a single VC 04:29 Why not just copy Polymarket 07:05 Advice for builders: grants over VC money 12:15 Building a team across every continent 15:52 Ali's story: from Syria to Switzerland 19:29 Leaving corporate (Roche) for crypto 22:24 Why raising money is a liability, not a win 25:42 How XO Market conviction markets actually work 29:43 What stops thousands of dead markets 32:41 The tech that gives markets instant liquidity 37:43 How to create your own market 39:14 Getting attention: local communities & ambassadors 44:20 Not the of prediction markets 48:22 Who decides the outcome: AI resolution 51:43 XO Vault: market making for everyone 56:47 The moment XO Market took off 1:02:14 Is prediction market usage exaggerated? 1:05:17 Elon Musk and mention markets 1:07:04 AI vs humans: jobs and the jury system 1:13:56 Are Polymarket & Kalshi overvalued? 1:16:16 What's next: Parlays, Vaults & the World Cup 1:23:06 Is XO Market becoming a sportsbook? 1:25:15 AI agents trading on their own 1:27:40 Regulation & staying permissionless 1:33:08 The investors: 20VC, Harry & a cricket legend 1:44:55 Will there be a token? 1:46:45 Blitz: rapid-fire round 1:52:59 Closing & giveaway

Predict Time

24,425 Aufrufe • vor 1 Monat

Freedomain Makeup Tutorial! Stefan Molyneux joins his daughter Izzy on Sunday Morning Live 22 February 2026 for a makeup session where she takes the lead on applying products, and they chat about how beauty standards have changed over time. They talk about how looks tie into confidence, trading jokes on makeup tricks and how society views beauty through the lens of gender. Makeup comes across as a way to express creativity and figure out who you are, beyond just looking good. Izzy weighs in on going light versus going all out, and Molyneux shares some personal anecdotes that influence their takes on self-care and identity. They touch on common beauty expectations, shifts in gender roles, and what traditional femininity brings to the table. With some laughs and stories from their time together, they get into how this kind of collaboration builds bonds, wrapping up with thoughts on self-image and fitting in today. Chapters: 0:00:00 The Transformation Begins 0:00:31 Educational Element of Makeup 0:01:23 The Purpose of This Makeup 0:02:42 David Bowie and Aesthetics 0:02:52 Suggestions from the Audience 0:03:25 Makeup Application Process 0:05:11 The Experience of Makeup 0:06:25 Squigglies and Artistic Expression 0:06:48 The Challenges of Makeup 0:07:02 Protective Measures in Makeup 0:09:00 Makeup and Gender Identity 0:14:38 Makeup for the Camera 0:19:12 Exploring the Makeup Process 0:25:39 The Transformation Journey 0:30:24 Makeup and Self-Perception 0:34:08 The Nature of Beauty 0:47:58 The Final Touches 0:57:36 The Lip Plumping Experience 1:01:54 Makeup and Social Dynamics 1:09:07 The Importance of Self-Care 1:13:25 Looks and Relationships 1:15:00 First Impressions Matter 1:16:25 The Importance of Skincare 1:19:10 Care vs. Obsession 1:21:43 Makeup and Gender Dynamics 1:26:29 Makeup as a Form of Expression 1:31:10 The Role of Appearance in Dating 1:34:35 Long Nails and Feminine Signals 1:40:32 Hair Color and Identity 1:45:31 Scarcity and Personal Growth 1:53:12 The Eye of Horus 2:07:57 Makeup Removal Strategies 2:14:46 The Eye of Horus and Rage Baiting 2:22:13 Reflections on the Experience GET FREEDOMAIN MERCH! SUBSCRIBE TO ME ON X! Follow me on Youtube! GET MY NEW BOOK 'PEACEFUL PARENTING', THE INTERACTIVE PEACEFUL PARENTING AI, AND THE FULL AUDIOBOOK! Join the PREMIUM philosophy community on the web for free! Subscribers get 12 HOURS on the "Truth About the French Revolution," multiple interactive multi-lingual philosophy AIs trained on thousands of hours of my material - as well as AIs for Real-Time Relationships, Bitcoin, Peaceful Parenting, and Call-In Shows! You also receive private livestreams, HUNDREDS of exclusive premium shows, early release podcasts, the 22 Part History of Philosophers series and much more! See you soon!

Freedomain Makeup Tutorial! Stefan Molyneux joins his daughter Izzy on Sunday Morning Live 22 February 2026 for a makeup session where she takes the lead on applying products, and they chat about how beauty standards have changed over time. They talk about how looks tie into confidence, trading jokes on makeup tricks and how society views beauty through the lens of gender. Makeup comes across as a way to express creativity and figure out who you are, beyond just looking good. Izzy weighs in on going light versus going all out, and Molyneux shares some personal anecdotes that influence their takes on self-care and identity. They touch on common beauty expectations, shifts in gender roles, and what traditional femininity brings to the table. With some laughs and stories from their time together, they get into how this kind of collaboration builds bonds, wrapping up with thoughts on self-image and fitting in today. Chapters: 0:00:00 The Transformation Begins 0:00:31 Educational Element of Makeup 0:01:23 The Purpose of This Makeup 0:02:42 David Bowie and Aesthetics 0:02:52 Suggestions from the Audience 0:03:25 Makeup Application Process 0:05:11 The Experience of Makeup 0:06:25 Squigglies and Artistic Expression 0:06:48 The Challenges of Makeup 0:07:02 Protective Measures in Makeup 0:09:00 Makeup and Gender Identity 0:14:38 Makeup for the Camera 0:19:12 Exploring the Makeup Process 0:25:39 The Transformation Journey 0:30:24 Makeup and Self-Perception 0:34:08 The Nature of Beauty 0:47:58 The Final Touches 0:57:36 The Lip Plumping Experience 1:01:54 Makeup and Social Dynamics 1:09:07 The Importance of Self-Care 1:13:25 Looks and Relationships 1:15:00 First Impressions Matter 1:16:25 The Importance of Skincare 1:19:10 Care vs. Obsession 1:21:43 Makeup and Gender Dynamics 1:26:29 Makeup as a Form of Expression 1:31:10 The Role of Appearance in Dating 1:34:35 Long Nails and Feminine Signals 1:40:32 Hair Color and Identity 1:45:31 Scarcity and Personal Growth 1:53:12 The Eye of Horus 2:07:57 Makeup Removal Strategies 2:14:46 The Eye of Horus and Rage Baiting 2:22:13 Reflections on the Experience GET FREEDOMAIN MERCH! SUBSCRIBE TO ME ON X! Follow me on Youtube! GET MY NEW BOOK 'PEACEFUL PARENTING', THE INTERACTIVE PEACEFUL PARENTING AI, AND THE FULL AUDIOBOOK! Join the PREMIUM philosophy community on the web for free! Subscribers get 12 HOURS on the "Truth About the French Revolution," multiple interactive multi-lingual philosophy AIs trained on thousands of hours of my material - as well as AIs for Real-Time Relationships, Bitcoin, Peaceful Parenting, and Call-In Shows! You also receive private livestreams, HUNDREDS of exclusive premium shows, early release podcasts, the 22 Part History of Philosophers series and much more! See you soon!

Freedomain - with Stefan Molyneux, MA

15,178 Aufrufe • vor 5 Monaten