正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

👨‍🍳The longest continuous shot I have ever done🐻‍❄️ 2 clips: First: 909 frames in 12 context windows. Prompt executed in 00:39:25 Second: 2337 frames in 31 context windows. Prompt executed in 01:32:02 Max allocated VRAM=27.458 GB 720p resolution Need 260gb of System RAM though

A.I.Warper

36,024 subscribers

56,900 次观看 • 9 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

A Physics That Could Finally Unify Reality (Part 2/2) - James Ellias, DemystifySci #385 A quiet tremor sounds beneath the floorboards of physics, the still-living heartbeat of the forgotten search for the hidden substance that carries every wave and whisper of the universe. We walk through the fog of equations and theories of fundamental physics with James Ellias of James Ellias, and ask if there is a material truth lies beneath the symbols, or if we have to be satisfied with the short-sighted vision of mathematics alone. 00:00 Go! 00:04:37 Central Equations in Physics 00:08:20 The Importance of a Medium in Physics 00:10:00 Empowerment Through Understanding Physics 00:12:36 Rationality and Truth in Society 00:16:31 Existence vs Consciousness 00:20:30 Discussion on Existence and Consciousness 00:24:25 Role of Imagination in Existence 00:28:10 Properties and Entities in Physics 00:30:15 The Nature of Aether and Physical Mediums 00:36:08 Clarity and Understanding in Physics 00:40:26 Discussion on Force and Aether 00:44:57 Relationship of Entities and Actions 00:49:30 Theoretical Framework for Aether 00:58:04 Exploration of Aether Theories 01:00:40 Importance of Conciseness in Communication 01:02:00 Understanding Physics Before Proposing Hypotheses 01:05:15 Reevaluation of Flawed Theories 01:09:35 The Evolution of Key Physics Concepts 01:15:19 Context-Specific Nature of Constants 01:19:43 Historical Context in Physics 01:21:36 The Nature of Electrons 01:25:53 J.J. Thomson’s Evolving Perspective 01:29:24 Upcoming Work and Philosophical Frameworks 01:32:11 Collaborations

A Physics That Could Finally Unify Reality (Part 2/2) - James Ellias, DemystifySci #385 A quiet tremor sounds beneath the floorboards of physics, the still-living heartbeat of the forgotten search for the hidden substance that carries every wave and whisper of the universe. We walk through the fog of equations and theories of fundamental physics with James Ellias of James Ellias, and ask if there is a material truth lies beneath the symbols, or if we have to be satisfied with the short-sighted vision of mathematics alone. 00:00 Go! 00:04:37 Central Equations in Physics 00:08:20 The Importance of a Medium in Physics 00:10:00 Empowerment Through Understanding Physics 00:12:36 Rationality and Truth in Society 00:16:31 Existence vs Consciousness 00:20:30 Discussion on Existence and Consciousness 00:24:25 Role of Imagination in Existence 00:28:10 Properties and Entities in Physics 00:30:15 The Nature of Aether and Physical Mediums 00:36:08 Clarity and Understanding in Physics 00:40:26 Discussion on Force and Aether 00:44:57 Relationship of Entities and Actions 00:49:30 Theoretical Framework for Aether 00:58:04 Exploration of Aether Theories 01:00:40 Importance of Conciseness in Communication 01:02:00 Understanding Physics Before Proposing Hypotheses 01:05:15 Reevaluation of Flawed Theories 01:09:35 The Evolution of Key Physics Concepts 01:15:19 Context-Specific Nature of Constants 01:19:43 Historical Context in Physics 01:21:36 The Nature of Electrons 01:25:53 J.J. Thomson’s Evolving Perspective 01:29:24 Upcoming Work and Philosophical Frameworks 01:32:11 Collaborations

Anastasia

13,523 次观看 • 7 个月前

Exclusive: Google just released two upgraded Gemini 1.5 models, 1.5-Pro-002 and 1.5-Flash-002 — achieving new, state-of-the-art performance across math. I sat down with Logan Kilpatrick (Logan Kilpatrick) to discuss the models, AI agents, AGI, and more. Timestamps: 00:00 Intro 01:01 Google rolls out two new Gemini models 2:18 What makes the new models so unique 3:40 Math improvements 8:20 Examples of Gemini 1.5 in the real world 10:19 Future problems AI could solve 12:54 Advantages of Gemini 1.5 16:50 Where beginners can get started 19:01 Advice to thrive in the new age of AI 22:02 Turning notes into podcasts 26:30 AI agents: Definitions and what they can do 31:22 What’s the final form for agents? 33:26 Proactive AI agent systems 36:00 Context windows in the agent era 41:01 AGI’s definition in Logan’s eyes 42:05 The current bottlenecks towards AGI

Exclusive: Google just released two upgraded Gemini 1.5 models, 1.5-Pro-002 and 1.5-Flash-002 — achieving new, state-of-the-art performance across math. I sat down with Logan Kilpatrick (Logan Kilpatrick) to discuss the models, AI agents, AGI, and more. Timestamps: 00:00 Intro 01:01 Google rolls out two new Gemini models 2:18 What makes the new models so unique 3:40 Math improvements 8:20 Examples of Gemini 1.5 in the real world 10:19 Future problems AI could solve 12:54 Advantages of Gemini 1.5 16:50 Where beginners can get started 19:01 Advice to thrive in the new age of AI 22:02 Turning notes into podcasts 26:30 AI agents: Definitions and what they can do 31:22 What’s the final form for agents? 33:26 Proactive AI agent systems 36:00 Context windows in the agent era 41:01 AGI’s definition in Logan’s eyes 42:05 The current bottlenecks towards AGI

Rowan Cheung

269,830 次观看 • 1 年前

I'm joined on Complex Systems this week by Clara Collier, editor and publisher of Asterisk Magazine, to discuss the production function of print journalism/commentary, why our institutions have taken lumps recently and how to hopefully restore public trust, and the German roots of the research university. (00:00) Introduction: Bending towards truth (01:34) What is Asterisk Magazine? (03:47) Challenges of print media (05:31) The media landscape and Twitter's influence (07:21) Editing and copywriting in modern media (16:56) The role of style guides (26:14) AI in writing and editing (31:54) The origins of research universities (35:05) Challenges in academic promotions (37:17) Global influence of German universities (41:02) American vs. German university systems (41:39) Post-war scientific organization (43:31) The role of research universities today (46:08) Science communication and public trust (57:12) Vaccine hesitancy and institutional trust (01:07:32) Historical context of medical trust (01:12:05) Wrap

I'm joined on Complex Systems this week by Clara Collier, editor and publisher of Asterisk Magazine, to discuss the production function of print journalism/commentary, why our institutions have taken lumps recently and how to hopefully restore public trust, and the German roots of the research university. (00:00) Introduction: Bending towards truth (01:34) What is Asterisk Magazine? (03:47) Challenges of print media (05:31) The media landscape and Twitter's influence (07:21) Editing and copywriting in modern media (16:56) The role of style guides (26:14) AI in writing and editing (31:54) The origins of research universities (35:05) Challenges in academic promotions (37:17) Global influence of German universities (41:02) American vs. German university systems (41:39) Post-war scientific organization (43:31) The role of research universities today (46:08) Science communication and public trust (57:12) Vaccine hesitancy and institutional trust (01:07:32) Historical context of medical trust (01:12:05) Wrap

Patrick McKenzie

16,982 次观看 • 9 个月前

Looking for a BEGINNER-friendly gamedev vibe coding tutorial? I got you. Let's building this 2D pirate beat 'em up game from SCRATCH. → Codex App → GPT 5.5 → Images 2.0 → Phaser 4 → ElevenLabs Step-by-step... prompt-by-prompt... Starter project + resources in reply 👇 00:00 1. Intro 01:16 2. Project Structure 01:34 3. `public` folder 02:29 4. .Agent skills 03:00 5. Codex App 04:15 6. Running the game 05:32 7. Better Testing Setup 06:59 8. Generate Background Art 08:56 9. Use parallel sub-agents 10:22 10. Create an Asset Index 13:27 11. Adding the Pirate Player 15:58 12. Browser Testing in Codex 17:55 13. Add Skeleton Enemy 19:44 14. Collisions & Hitboxes 21:04 15. Adding Debug 22:12 16. Fixing Attack Frames 24:06 17. Fixing Hit Boxes and Bounds 26:10 18. Adding Health System & Bars 27:52 19. Game Over And Death Flow 28:46 20. Wave Progression System 31:38 21. Restarting The Game 33:49 22. Generated Sound & Music with AI 39:14 23. Adding juice and polish 41:54 Wrap Up

Looking for a BEGINNER-friendly gamedev vibe coding tutorial? I got you. Let's building this 2D pirate beat 'em up game from SCRATCH. → Codex App → GPT 5.5 → Images 2.0 → Phaser 4 → ElevenLabs Step-by-step... prompt-by-prompt... Starter project + resources in reply 👇 00:00 1. Intro 01:16 2. Project Structure 01:34 3. `public` folder 02:29 4. .Agent skills 03:00 5. Codex App 04:15 6. Running the game 05:32 7. Better Testing Setup 06:59 8. Generate Background Art 08:56 9. Use parallel sub-agents 10:22 10. Create an Asset Index 13:27 11. Adding the Pirate Player 15:58 12. Browser Testing in Codex 17:55 13. Add Skeleton Enemy 19:44 14. Collisions & Hitboxes 21:04 15. Adding Debug 22:12 16. Fixing Attack Frames 24:06 17. Fixing Hit Boxes and Bounds 26:10 18. Adding Health System & Bars 27:52 19. Game Over And Death Flow 28:46 20. Wave Progression System 31:38 21. Restarting The Game 33:49 22. Generated Sound & Music with AI 39:14 23. Adding juice and polish 41:54 Wrap Up

Chong-U

14,297 次观看 • 2 个月前

Some personal news - I am launching a podcast HD in HD Podcast to share what would normally be offline conversations with exceptional people online. Have had the great fortune of co-founding BRex which has led to several great relationships with other builders over the years. I find that the best way to learn anything is through conversations with brilliant people. To kick things off, listen in on a thoughtful conversation with Vlad Tenev. Hope you enjoy these off the script conversations. 00:00:00 Introduction 00:01:00 Decision to stop drinking 00:07:26 Day of the IPO feeling 00:12:37 How Vlad was as a kid 00:19:51 Raising kids 00:24:01 Source of motivation 00:24:48 Getting into Stanford 00:30:05 Time at Stanford 00:33:32 Grad school 00:42:25 First company 00:48:35 Second company 00:53:10 Beginning of Robinhood 00:59:54 Positioning of Robinhood 01:04:04 Being depicted in movies 01:12:06 Trader influencers 01:15:27 Serving active traders 01:20:26 Meeting wife 01:27:13 Downsides & upsides of being a CEO 01:31:30 Minimizing phone addiction 01:35:06 GameStop 01:49:02 Final learnings

Some personal news - I am launching a podcast HD in HD Podcast to share what would normally be offline conversations with exceptional people online. Have had the great fortune of co-founding BRex which has led to several great relationships with other builders over the years. I find that the best way to learn anything is through conversations with brilliant people. To kick things off, listen in on a thoughtful conversation with Vlad Tenev. Hope you enjoy these off the script conversations. 00:00:00 Introduction 00:01:00 Decision to stop drinking 00:07:26 Day of the IPO feeling 00:12:37 How Vlad was as a kid 00:19:51 Raising kids 00:24:01 Source of motivation 00:24:48 Getting into Stanford 00:30:05 Time at Stanford 00:33:32 Grad school 00:42:25 First company 00:48:35 Second company 00:53:10 Beginning of Robinhood 00:59:54 Positioning of Robinhood 01:04:04 Being depicted in movies 01:12:06 Trader influencers 01:15:27 Serving active traders 01:20:26 Meeting wife 01:27:13 Downsides & upsides of being a CEO 01:31:30 Minimizing phone addiction 01:35:06 GameStop 01:49:02 Final learnings

Henrique Dubugras

27,801 次观看 • 1 年前

Data Models - Better AI Code in 5 Minutes Your AI isn't consistent because you're missing one file. I had the same problem until I started using a data model file. In this video, I'm showing you the exact two prompts I use: one generates the data model, the second uses it to generate features without breaking my app. Testing this with AnimeLeak (my actual production app) adding an admin approval feature. Using Droid with Sonnet 4.5 in spec mode, but this works in Cursor, Claude, or whatever you're using. KEY TIMESTAMPS 00:00 - The One File Your AI is Missing 00:44 - Prompt 1: Generate a Data Model 01:12 - The Result: Data Model Documentation 02:12 - Prompt 2: Implement a New Feature 03:00 - Reviewing the AI-Generated Spec 04:17 - Why This Workflow is So Powerful 04:32 - Your 3-Step Action Plan 05:12 - Next Video: Live Code Generation

Data Models - Better AI Code in 5 Minutes Your AI isn't consistent because you're missing one file. I had the same problem until I started using a data model file. In this video, I'm showing you the exact two prompts I use: one generates the data model, the second uses it to generate features without breaking my app. Testing this with AnimeLeak (my actual production app) adding an admin approval feature. Using Droid with Sonnet 4.5 in spec mode, but this works in Cursor, Claude, or whatever you're using. KEY TIMESTAMPS 00:00 - The One File Your AI is Missing 00:44 - Prompt 1: Generate a Data Model 01:12 - The Result: Data Model Documentation 02:12 - Prompt 2: Implement a New Feature 03:00 - Reviewing the AI-Generated Spec 04:17 - Why This Workflow is So Powerful 04:32 - Your 3-Step Action Plan 05:12 - Next Video: Live Code Generation

Ray Fernando

15,479 次观看 • 8 个月前

EXPOSING Nux LIES On The US-Israel Iran War! Myron Gaines ⏰Time Stamps⏰ • 00:00 | Cold Open: The Callout Addressed • 00:25 | The Main Thesis of this Response 00:45 — Context & Motivation • 00:45 | Why I’m Responding Now • 02:15 | Initial Thoughts on Nuxanor’s Tone • 03:30 | The "Drama" vs. The "Truth" 04:30 — Nuxanor’s Video: The Breakdown • 04:30 | Playing the Main Accusations • 07:00 | Addressing Character Attacks • 09:45 | Identifying the Main "Drama" Claims 12:00 — Part 1: Initial Rebuttals • 12:00 | Correcting the First Misquote • 15:30 | Context Missing from Nuxanor’s Clips • 19:00 | Counter-Clips: What Really Happened • 22:15 | Proving a Lack of Evidence 25:00 — Part 2: Core Evidence Dismantling • 25:00 | Deep Dive into the Heaviest Claims • 29:00 | Exposing Logic Holes in the Callout • 34:30 | Refuting Specific Examples (Point-by-Point) • 38:45 | Further Evidence: Setting the Record Straight 42:00 — Patterns & Community Impact • 42:00 | Broader Criticism Patterns in the Space • 45:30 | Addressing Hypocrisy Claims • 49:00 | Chat & Audience Reaction Analysis

EXPOSING Nux LIES On The US-Israel Iran War! Myron Gaines ⏰Time Stamps⏰ • 00:00 | Cold Open: The Callout Addressed • 00:25 | The Main Thesis of this Response 00:45 — Context & Motivation • 00:45 | Why I’m Responding Now • 02:15 | Initial Thoughts on Nuxanor’s Tone • 03:30 | The "Drama" vs. The "Truth" 04:30 — Nuxanor’s Video: The Breakdown • 04:30 | Playing the Main Accusations • 07:00 | Addressing Character Attacks • 09:45 | Identifying the Main "Drama" Claims 12:00 — Part 1: Initial Rebuttals • 12:00 | Correcting the First Misquote • 15:30 | Context Missing from Nuxanor’s Clips • 19:00 | Counter-Clips: What Really Happened • 22:15 | Proving a Lack of Evidence 25:00 — Part 2: Core Evidence Dismantling • 25:00 | Deep Dive into the Heaviest Claims • 29:00 | Exposing Logic Holes in the Callout • 34:30 | Refuting Specific Examples (Point-by-Point) • 38:45 | Further Evidence: Setting the Record Straight 42:00 — Patterns & Community Impact • 42:00 | Broader Criticism Patterns in the Space • 45:30 | Addressing Hypocrisy Claims • 49:00 | Chat & Audience Reaction Analysis

Myron Gaines Clips

22,247 次观看 • 2 个月前

Anyone with 8GB or 12GB VRAM setups needs to understand that "-ncmoe" is the key flag to boost performance on llama.cpp Here are my results for Qwen3.6 35B A3B, with 64k q8_0 context on a 8GB RTX 3070Ti: ⚪️ no flag → 8.7 tok/s RAM: 13.6GB & VRAM: 7.8GB 🔴 -ncmoe 35 → 27.5 tok/s RAM: 12.1GB & VRAM: 4.3GB 🟢 -ncmoe 30 → 32.5 tok/s RAM: 12GB & VRAM: 5.6GB 🔵 -ncmoe 25 → 40.9 tok/s RAM: 12GB & VRAM: 6.9GB Please note the ram and vram usage you see are total usage of a windows pc, with the model running. My friend's setup: 8GB VRAM and 16GB RAM. You can boost performance by switching to Linux, just something to keep in mind. Basically, this flag keeps the MoE experts in the first X layers on your CPU + RAM, instead of eating all your VRAM straight away. This is a smart hybrid offload way that lets you run bigger models without OOM while keeping the rest on your GPU for speed. As we can see on the data, there's a sweet spot. When we lower it from 35 to 25, speed bumps +50% because there are more layers on your GPU (look at the VRAM usage). The key here is to play around with the number and fit as much as possible on your VRAM, goal is to have 1GB/800MB headroom to avoid stress. ↓ server flags below

Anyone with 8GB or 12GB VRAM setups needs to understand that "-ncmoe" is the key flag to boost performance on llama.cpp Here are my results for Qwen3.6 35B A3B, with 64k q8_0 context on a 8GB RTX 3070Ti: ⚪️ no flag → 8.7 tok/s RAM: 13.6GB & VRAM: 7.8GB 🔴 -ncmoe 35 → 27.5 tok/s RAM: 12.1GB & VRAM: 4.3GB 🟢 -ncmoe 30 → 32.5 tok/s RAM: 12GB & VRAM: 5.6GB 🔵 -ncmoe 25 → 40.9 tok/s RAM: 12GB & VRAM: 6.9GB Please note the ram and vram usage you see are total usage of a windows pc, with the model running. My friend's setup: 8GB VRAM and 16GB RAM. You can boost performance by switching to Linux, just something to keep in mind. Basically, this flag keeps the MoE experts in the first X layers on your CPU + RAM, instead of eating all your VRAM straight away. This is a smart hybrid offload way that lets you run bigger models without OOM while keeping the rest on your GPU for speed. As we can see on the data, there's a sweet spot. When we lower it from 35 to 25, speed bumps +50% because there are more layers on your GPU (look at the VRAM usage). The key here is to play around with the number and fit as much as possible on your VRAM, goal is to have 1GB/800MB headroom to avoid stress. ↓ server flags below

left curve dev

166,063 次观看 • 2 个月前

Is time an illusion? I sat down with physicist Julian Barbour to explore his radical theory: time is just how we interpret changing shapes. He explains why the universe might actually be increasing in order, challenging the second law of thermodynamics. Link in comments below. Timestamps: 00:00 - Introduction 02:12 - Working Outside of Academia 03:53 - Space, Time, Dimension 10:40 - Mach’s Principle 21:33 - Mach Confused Einstein 24:22 - Two Particle Universe 31:46 - Carlo Rovelli 35:02 - Julian’s Ontology 43:37 - Julian’s Theory ‘Shape Statistics’ 51:11 - Leinbiz’s Philosophical Writings 56:14 - Expansion of the Universe (Scale Invariance) 01:05:02 - Cosmological Principle 01:15:34 - Thermodynamics 01:17:15 - Entropy and Complexity 01:30:40 - Wave Function / Double Slit Experiment 01:39:21 - God 01:44:48 - The Role of Instruments 01:47:44 - Etymology of Pattern and Matter 01:51:25 - Join My Substack!

Is time an illusion? I sat down with physicist Julian Barbour to explore his radical theory: time is just how we interpret changing shapes. He explains why the universe might actually be increasing in order, challenging the second law of thermodynamics. Link in comments below. Timestamps: 00:00 - Introduction 02:12 - Working Outside of Academia 03:53 - Space, Time, Dimension 10:40 - Mach’s Principle 21:33 - Mach Confused Einstein 24:22 - Two Particle Universe 31:46 - Carlo Rovelli 35:02 - Julian’s Ontology 43:37 - Julian’s Theory ‘Shape Statistics’ 51:11 - Leinbiz’s Philosophical Writings 56:14 - Expansion of the Universe (Scale Invariance) 01:05:02 - Cosmological Principle 01:15:34 - Thermodynamics 01:17:15 - Entropy and Complexity 01:30:40 - Wave Function / Double Slit Experiment 01:39:21 - God 01:44:48 - The Role of Instruments 01:47:44 - Etymology of Pattern and Matter 01:51:25 - Join My Substack!

Curt Jaimungal

16,403 次观看 • 1 年前

Mika x Gata Full Podcast This episode was actually the second podcast I recorded. Gata and the show Dave have been major sources of inspiration for me. Whenever I find myself in a tough spot or face rejection, I think of Gata and Dave’s journey in the show, and it reminds me that it’s all part of the process 01:23 - The Beginning 02:04 - Working On Dave 02:57 - Who Is Gata? 05:10 - Connecting Through Relatability 07:10 - Consistency 12:54 - Falling Off 15:40 - Freedoms Of Crypto 18:12 - Therapeutic 20:10 - Most Emotional Scenes 24:20 - Going Against The Average 29:30 - "Only The Strong Survive" 31:02 - Following The Wrong People 32:35 - Mental Health/ Social Media 35:12 - Ancient Wisdom 36:36 - Believe in YOU 38:05 - Get Busy Living 39:20 - By Yourself 39:50 - Closing Thoughts

Mika x Gata Full Podcast This episode was actually the second podcast I recorded. Gata and the show Dave have been major sources of inspiration for me. Whenever I find myself in a tough spot or face rejection, I think of Gata and Dave’s journey in the show, and it reminds me that it’s all part of the process 01:23 - The Beginning 02:04 - Working On Dave 02:57 - Who Is Gata? 05:10 - Connecting Through Relatability 07:10 - Consistency 12:54 - Falling Off 15:40 - Freedoms Of Crypto 18:12 - Therapeutic 20:10 - Most Emotional Scenes 24:20 - Going Against The Average 29:30 - "Only The Strong Survive" 31:02 - Following The Wrong People 32:35 - Mental Health/ Social Media 35:12 - Ancient Wisdom 36:36 - Believe in YOU 38:05 - Get Busy Living 39:20 - By Yourself 39:50 - Closing Thoughts

Mika

121,890 次观看 • 1 年前

Here's my conversation with the founding team of Cursor, a popular code editor (based on VSCode) that specializes in AI-assisted programming. This is a super technical conversation that is bigger than just about one code editor. It's about the future of programming and, in general, the future of human-AI collaboration. It's here on X in full, and is up on everywhere else. Timestamps: 0:00 - Introduction 0:59 - Code editor basics 3:09 - GitHub Copilot 10:27 - Cursor 16:54 - Cursor Tab 23:08 - Code diff 31:20 - ML details 36:54 - GPT vs Claude 43:28 - Prompt engineering 50:54 - AI agents 1:04:51 - Running code in background 1:09:31 - Debugging 1:14:58 - Dangerous code 1:26:09 - Branching file systems 1:29:20 - Scaling challenges 1:43:32 - Context 1:48:39 - OpenAI o1 2:00:01 - Synthetic data 2:03:48 - RLHF vs RLAIF 2:05:34 - Fields Medal for AI 2:08:17 - Scaling laws 2:17:06 - The future of programming

Here's my conversation with the founding team of Cursor, a popular code editor (based on VSCode) that specializes in AI-assisted programming. This is a super technical conversation that is bigger than just about one code editor. It's about the future of programming and, in general, the future of human-AI collaboration. It's here on X in full, and is up on everywhere else. Timestamps: 0:00 - Introduction 0:59 - Code editor basics 3:09 - GitHub Copilot 10:27 - Cursor 16:54 - Cursor Tab 23:08 - Code diff 31:20 - ML details 36:54 - GPT vs Claude 43:28 - Prompt engineering 50:54 - AI agents 1:04:51 - Running code in background 1:09:31 - Debugging 1:14:58 - Dangerous code 1:26:09 - Branching file systems 1:29:20 - Scaling challenges 1:43:32 - Context 1:48:39 - OpenAI o1 2:00:01 - Synthetic data 2:03:48 - RLHF vs RLAIF 2:05:34 - Fields Medal for AI 2:08:17 - Scaling laws 2:17:06 - The future of programming

Lex Fridman

1,261,171 次观看 • 1 年前

In this episode, Beyang and Thorsten discuss strategies for effective agentic coding, including the 101 of how it's different from coding with chat LLMs, the key constraint of the context window, how and where subagents can help, and the new oracle subagent which combines multiple LLMs. 00:38 Intros 03:20 How coding with agents is very different from coding with prior AI tools 10:31 Example: fix a simple issue 14:13 Example: debugging an issue with an MCP server 21:50 Example: unifying two build scripts 25:09 How the context window is a key constraint 31:01 Why it's best to focus on one thing at a time 33:09 Subagents and context windows 33:49 The codebase search subagent 38:33 General-purpose subagents 44:05 When to use subagents 46:44 The oracle subagent and o3 51:32 Multi-model agents

In this episode, Beyang and Thorsten discuss strategies for effective agentic coding, including the 101 of how it's different from coding with chat LLMs, the key constraint of the context window, how and where subagents can help, and the new oracle subagent which combines multiple LLMs. 00:38 Intros 03:20 How coding with agents is very different from coding with prior AI tools 10:31 Example: fix a simple issue 14:13 Example: debugging an issue with an MCP server 21:50 Example: unifying two build scripts 25:09 How the context window is a key constraint 31:01 Why it's best to focus on one thing at a time 33:09 Subagents and context windows 33:49 The codebase search subagent 38:33 General-purpose subagents 44:05 When to use subagents 46:44 The oracle subagent and o3 51:32 Multi-model agents

Amp — Research Preview

24,534 次观看 • 1 年前

The Ethereum Bull Thesis in 2026 (Why Now) with Sharplink CEO Joseph Chalom Timestamps 00:00 ETH Is Not Dead 01:16 Second Largest ETH Holder 02:33 Ethereum Wins The Scoreboard 04:20 Step Function Moment Coming 04:45 The Jeff Bezos Analogy 06:42 EFF Not The Marketing Arm 10:04 Private Sector Must Step Up 12:39 Warren Buffett Capitulation Thesis 13:22 BlackRock Doubled Down At FTX 15:44 WTI Crude Predicts Bitcoin 16:49 Best Entry Point Right Now 22:01 160M Agent Payments Q1 24:50 Institutions Need Finality Not Speed 25:02 BlackRock Tokenizing $8B Fund 30:32 Fidelity Now Largest Investor 33:19 First DeFi In Public Company 35:41 Retail Capitulation Best Entry

The Ethereum Bull Thesis in 2026 (Why Now) with Sharplink CEO Joseph Chalom Timestamps 00:00 ETH Is Not Dead 01:16 Second Largest ETH Holder 02:33 Ethereum Wins The Scoreboard 04:20 Step Function Moment Coming 04:45 The Jeff Bezos Analogy 06:42 EFF Not The Marketing Arm 10:04 Private Sector Must Step Up 12:39 Warren Buffett Capitulation Thesis 13:22 BlackRock Doubled Down At FTX 15:44 WTI Crude Predicts Bitcoin 16:49 Best Entry Point Right Now 22:01 160M Agent Payments Q1 24:50 Institutions Need Finality Not Speed 25:02 BlackRock Tokenizing $8B Fund 30:32 Fidelity Now Largest Investor 33:19 First DeFi In Public Company 35:41 Retail Capitulation Best Entry

The Rollup

153,558 次观看 • 1 个月前

Uncovering Aboriginal Australia: A Conversation with Mungo Manic Detailed timestamps 👇 Origins and Early Human Migration 00:00 Introduction to Mungo Manic and early Australians 00:55 Who is Mungo Manic 03:41 Terminology and definitions of "Aboriginal" 04:47 Terminology preferences in scientific contexts 05:29 Origins of the word "Aboriginal" and its historical usage 07:32 The term "Aboriginal" losing a genetic or racial definition in the 1960s or 1970s 09:10 The three-part test of Aboriginal identity Early Human Settlement and Fossil Evidence 12:55 How and when humans first arrived in Australia 16:40 Early skeletons, including Mungo Man 21:00 The study of Mungo Man 23:35 Did Denisovans make it to Australia 25:20 Fossil degradation in Lake Mungo Isolation, Cultural Practices, and Environmental Adaptation 26:00 Isolation of pre-colonial Australia and the ancestry of dingoes 33:15 Aboriginal women breastfeeding dingoes and their importance as pets 36:35 The taboo against eating dog in Parsi culture Social Structures and Survival Practices 37:30 Infanticide in Aboriginal Australian culture 40:55 Cannibalism in Aboriginal Australian culture including endocannibalism and exocannibalism 42:14 Warfare and violence in early Australian life 42:48 The nature of warfare and violence in ancient Australian societies 44:20 Christophe Darmangeat's expertise on Aboriginal warfare 45:39 Capital and corporal punishment in Aboriginal Australia 49:28 The lack of rights for Aboriginal women 51:30 Sorcery and the practice of pointing the bone Technology, Environment, and Innovation 54:00 Technological development in Aboriginal Australia and Jared Diamond’s theory 56:23 Was Australia actually a harsh environment 58:43 Technological simplicity in Tasmania after separation from mainland Australia 01:02:00 Competition and innovation 01:03:45 Kimberley spear points, Sulawesi, and Macassan sailors 01:05:30 The oldest known rock art Cultural Practices and Initiation Rituals 01:06:45 Cultural practices and initiation rituals 01:07:30 Initiation practices including scarification, tooth evulsion, and circumcision 01:12:20 Subincision 01:14:00 Female circumcision and virginity in Aboriginal Australia 01:20:00 The Fatal Shore by Robert Hughes, wife-sharing, and sexual practices in Aboriginal culture 01:24:46 The practice of clubbing women 01:25:35 The resilience and immune system of Aboriginal Australians Impact of Humans on the Environment 01:27:08 Human impact on the Australian landscape and megafauna extinction 01:31:00 Boomerangs used in warfare 01:33:50 The film Ten Canoes Religious and Spiritual Beliefs 01:35:20 Religious beliefs and spiritual practices including the Dreaming 01:40:00 Aboriginal eschatology 01:42:00 The extinction of the people of Kangaroo Island 01:43:00 Mourning periods and mummification 01:45:42 The cultural practice of not mentioning the dead Modern Aboriginal Identity and Historical Debates 01:48:04 Are Tasmanian Aboriginals extinct Was it genocide The Henry Reynolds black armband theory vs Keith Windschuttle 01:53:53 Defining Aboriginal identity today racial definitions vs self-identification 01:56:55 Blue-eyed blonde-haired Aboriginal people vs Tasmanian Aboriginals 02:00:52 The importance of Tasmanian DNA research 02:03:22 A critique of Bruce Pascoe’s Dark Emu and its depiction of ancient Australians as agriculturalists Colonial Impact and Unanswered Questions 02:11:27 Kidnappings 02:15:40 The need for anonymity in controversial discussions 02:29:27 Biggest mysteries in Aboriginal history

Uncovering Aboriginal Australia: A Conversation with Mungo Manic Detailed timestamps 👇 Origins and Early Human Migration 00:00 Introduction to Mungo Manic and early Australians 00:55 Who is Mungo Manic 03:41 Terminology and definitions of "Aboriginal" 04:47 Terminology preferences in scientific contexts 05:29 Origins of the word "Aboriginal" and its historical usage 07:32 The term "Aboriginal" losing a genetic or racial definition in the 1960s or 1970s 09:10 The three-part test of Aboriginal identity Early Human Settlement and Fossil Evidence 12:55 How and when humans first arrived in Australia 16:40 Early skeletons, including Mungo Man 21:00 The study of Mungo Man 23:35 Did Denisovans make it to Australia 25:20 Fossil degradation in Lake Mungo Isolation, Cultural Practices, and Environmental Adaptation 26:00 Isolation of pre-colonial Australia and the ancestry of dingoes 33:15 Aboriginal women breastfeeding dingoes and their importance as pets 36:35 The taboo against eating dog in Parsi culture Social Structures and Survival Practices 37:30 Infanticide in Aboriginal Australian culture 40:55 Cannibalism in Aboriginal Australian culture including endocannibalism and exocannibalism 42:14 Warfare and violence in early Australian life 42:48 The nature of warfare and violence in ancient Australian societies 44:20 Christophe Darmangeat's expertise on Aboriginal warfare 45:39 Capital and corporal punishment in Aboriginal Australia 49:28 The lack of rights for Aboriginal women 51:30 Sorcery and the practice of pointing the bone Technology, Environment, and Innovation 54:00 Technological development in Aboriginal Australia and Jared Diamond’s theory 56:23 Was Australia actually a harsh environment 58:43 Technological simplicity in Tasmania after separation from mainland Australia 01:02:00 Competition and innovation 01:03:45 Kimberley spear points, Sulawesi, and Macassan sailors 01:05:30 The oldest known rock art Cultural Practices and Initiation Rituals 01:06:45 Cultural practices and initiation rituals 01:07:30 Initiation practices including scarification, tooth evulsion, and circumcision 01:12:20 Subincision 01:14:00 Female circumcision and virginity in Aboriginal Australia 01:20:00 The Fatal Shore by Robert Hughes, wife-sharing, and sexual practices in Aboriginal culture 01:24:46 The practice of clubbing women 01:25:35 The resilience and immune system of Aboriginal Australians Impact of Humans on the Environment 01:27:08 Human impact on the Australian landscape and megafauna extinction 01:31:00 Boomerangs used in warfare 01:33:50 The film Ten Canoes Religious and Spiritual Beliefs 01:35:20 Religious beliefs and spiritual practices including the Dreaming 01:40:00 Aboriginal eschatology 01:42:00 The extinction of the people of Kangaroo Island 01:43:00 Mourning periods and mummification 01:45:42 The cultural practice of not mentioning the dead Modern Aboriginal Identity and Historical Debates 01:48:04 Are Tasmanian Aboriginals extinct Was it genocide The Henry Reynolds black armband theory vs Keith Windschuttle 01:53:53 Defining Aboriginal identity today racial definitions vs self-identification 01:56:55 Blue-eyed blonde-haired Aboriginal people vs Tasmanian Aboriginals 02:00:52 The importance of Tasmanian DNA research 02:03:22 A critique of Bruce Pascoe’s Dark Emu and its depiction of ancient Australians as agriculturalists Colonial Impact and Unanswered Questions 02:11:27 Kidnappings 02:15:40 The need for anonymity in controversial discussions 02:29:27 Biggest mysteries in Aboriginal history

Quillette

83,061 次观看 • 1 年前

I still remember the first time I saw this game in the arcade. The stunning graphics and sound, along with the rally courses running in high resolution at 60 frames per second, were absolutely mind-blowing. The way the car slid so perfectly along the course delivered a refreshing driving feel that no previous rally game had ever given me. Of course, the home versions couldn’t quite match the arcade original, but the ports for the Sega Saturn and PC were still impressively well done and became very popular. And the sequel, Sega Rally 2, was absolutely amazing as well.

I still remember the first time I saw this game in the arcade. The stunning graphics and sound, along with the rally courses running in high resolution at 60 frames per second, were absolutely mind-blowing. The way the car slid so perfectly along the course delivered a refreshing driving feel that no previous rally game had ever given me. Of course, the home versions couldn’t quite match the arcade original, but the ports for the Sega Saturn and PC were still impressively well done and became very popular. And the sequel, Sega Rally 2, was absolutely amazing as well.

Gamer_lafan

13,554 次观看 • 1 个月前

I recently sat down with João Filipe and revealed my exact plan to build a $100M AI company. This is more than I've ever revealed publicly before. 0:00 Trailer 2:34 Credentials 5:56 Running multiple companies at once 11:45 Why I love content 13:33 My background 20:11 Don't quit your job *yet* 25:24 Opportunity cost 31:39 Self-reflection 36:07 Owning your AI memory 39:02 Using AI for content 52:22 Audit your life 55:39 The one AI system everyone should build 58:07 Traits > Skills 58:47 Founding AI Edge 1:01:00 How to spot trends early 1:14:00 Reinvesting in AI Edge 1:20:01 Spending $100k +/mo on AI 1:32:02 𝕏 vs. YouTube 1:49:32 My take on "AI influencers" 1:50:29 Biggest takeaway from the podcast 1:53:49 Health is the best investment

I recently sat down with João Filipe and revealed my exact plan to build a $100M AI company. This is more than I've ever revealed publicly before. 0:00 Trailer 2:34 Credentials 5:56 Running multiple companies at once 11:45 Why I love content 13:33 My background 20:11 Don't quit your job yet 25:24 Opportunity cost 31:39 Self-reflection 36:07 Owning your AI memory 39:02 Using AI for content 52:22 Audit your life 55:39 The one AI system everyone should build 58:07 Traits > Skills 58:47 Founding AI Edge 1:01:00 How to spot trends early 1:14:00 Reinvesting in AI Edge 1:20:01 Spending $100k +/mo on AI 1:32:02 𝕏 vs. YouTube 1:49:32 My take on "AI influencers" 1:50:29 Biggest takeaway from the podcast 1:53:49 Health is the best investment

Miles Deutscher

57,336 次观看 • 9 天前

My full conversation with Spencer, founder of Orange Cap Games & new CEO of Moonbirds. The first ever upload of Max Abstraction. Enjoy! Chapters: 00:00 – Intro & Spencer joins Max Abstraction 06:45 – Spencer’s Web3 & gaming background 17:08 – Vibes: early challenges & lessons 27:14 – Crypto vs traditional gamer culture 34:08 – Korea’s impact on crypto & NFTs 39:04 – Sneak peek: Legend of the Littles 42:42 – Vibes’ evolving art & quality focus 46:27 – Breaking silhouette fatigue 50:51 – Art integrity & QC obsession 56:34 – How the Moonbirds deal happened 57:32 – Why OCG bought Moonbirds, not SV 58:53 – Mythics art: the hidden gem 01:01:49 – Moonbirds vs Mythics 01:02:41 – Market reacts to the acquisition 01:04:30 – Why Moonbirds needed new hands 01:06:18 – Vibes proves what OCG can do 01:07:42 – Set 3 is already in motion 01:09:13 – Doing it right vs fast 01:10:44 – Product-first mindset 01:12:15 – The future of Moonbirds

My full conversation with Spencer, founder of Orange Cap Games & new CEO of Moonbirds. The first ever upload of Max Abstraction. Enjoy! Chapters: 00:00 – Intro & Spencer joins Max Abstraction 06:45 – Spencer’s Web3 & gaming background 17:08 – Vibes: early challenges & lessons 27:14 – Crypto vs traditional gamer culture 34:08 – Korea’s impact on crypto & NFTs 39:04 – Sneak peek: Legend of the Littles 42:42 – Vibes’ evolving art & quality focus 46:27 – Breaking silhouette fatigue 50:51 – Art integrity & QC obsession 56:34 – How the Moonbirds deal happened 57:32 – Why OCG bought Moonbirds, not SV 58:53 – Mythics art: the hidden gem 01:01:49 – Moonbirds vs Mythics 01:02:41 – Market reacts to the acquisition 01:04:30 – Why Moonbirds needed new hands 01:06:18 – Vibes proves what OCG can do 01:07:42 – Set 3 is already in motion 01:09:13 – Doing it right vs fast 01:10:44 – Product-first mindset 01:12:15 – The future of Moonbirds

Ely

24,797 次观看 • 1 年前

We don't know what most microbial genes do. Can genomic language models help? there's only one way to find out! this is a 1 hour and 42 minute interview with an MIT professor (the famous Yunha Hwang) chatting about these questions, her work in solving them at Tatta Bio, and more. zoomer captions are back too Links in reply! Timestamps: 00:00:00 - Clips + sponsor roll from the wonderful LatchBio 00:02:07 – Introduction 00:02:23 – Why do microbial genomes matter 00:04:07 – Deep learning acceptance in metagenomics 00:05:25 – The case for genomic “context” over sequence matching 00:06:43 – OMG: the only ML-ready metagenomic dataset 00:09:27 – gLM2: A multimodal genomic language model 00:11:06 – What do you do with the output of genomic language models? 00:17:41 – How will OMG evolve? 00:20:26 – Why train on only microbial genomes, as opposed to all genomes? 00:22:58 – Do we need more sequences or more annotations? 00:23:54 – Is there a conserved microbial genome ‘language’? 00:28:11 – What non-obvious things can this genomic language model tell you? 00:33:08 – Semantic deduplication and evaluation 00:37:33 – How does benchmarking work for these types of models? 00:41:31 – Gaia: A genomic search engine 00:44:18 – Even ‘well-studied’ genomes are mostly unannotated 00:50:51 – Using agents on Gaia 00:54:53 – Will genomic language models reshape the tree of life? 00:59:18 – Current limitations of genomic language models 01:08:54 – Directed evolution as training data 01:12:35 – What is Tatta Bio? 01:19:02 – Building Google for genomic sequences (SeqHub) 01:25:46 – How to create communities around scientific OSS 01:29:06 – What’s the purpose in the centralization of the software? 01:35:37 – How will the way science is done change in 10 years?

We don't know what most microbial genes do. Can genomic language models help? there's only one way to find out! this is a 1 hour and 42 minute interview with an MIT professor (the famous Yunha Hwang) chatting about these questions, her work in solving them at Tatta Bio, and more. zoomer captions are back too Links in reply! Timestamps: 00:00:00 - Clips + sponsor roll from the wonderful LatchBio 00:02:07 – Introduction 00:02:23 – Why do microbial genomes matter 00:04:07 – Deep learning acceptance in metagenomics 00:05:25 – The case for genomic “context” over sequence matching 00:06:43 – OMG: the only ML-ready metagenomic dataset 00:09:27 – gLM2: A multimodal genomic language model 00:11:06 – What do you do with the output of genomic language models? 00:17:41 – How will OMG evolve? 00:20:26 – Why train on only microbial genomes, as opposed to all genomes? 00:22:58 – Do we need more sequences or more annotations? 00:23:54 – Is there a conserved microbial genome ‘language’? 00:28:11 – What non-obvious things can this genomic language model tell you? 00:33:08 – Semantic deduplication and evaluation 00:37:33 – How does benchmarking work for these types of models? 00:41:31 – Gaia: A genomic search engine 00:44:18 – Even ‘well-studied’ genomes are mostly unannotated 00:50:51 – Using agents on Gaia 00:54:53 – Will genomic language models reshape the tree of life? 00:59:18 – Current limitations of genomic language models 01:08:54 – Directed evolution as training data 01:12:35 – What is Tatta Bio? 01:19:02 – Building Google for genomic sequences (SeqHub) 01:25:46 – How to create communities around scientific OSS 01:29:06 – What’s the purpose in the centralization of the software? 01:35:37 – How will the way science is done change in 10 years?

owl

44,279 次观看 • 7 个月前

Everything Gets Rebuilt: my conversation with Harrison Chase, CEO of LangChain about agent harnesses, evals, runtimes, sandboxes, MCP and the future of the agent stack 00:00 Intro - meet Harrison Chase - at the Chase Center for the Daytona Compute conference 01:32 What changed in agents over the last year 03:57 Why coding agents are ahead 06:26 Do models commoditize the framework layer? 08:27 Harnesses, in plain English 10:11 Why system prompts matter so much 13:11 The upside — and downside — of subagents 15:31 Why a useful agent needs a filesystem 18:13 Additional core primitives of modern agents 19:12 Skills: the new primitive 20:19 What context compaction actually means 23:02 How memory works in agents 25:16 One mega-agent or many specialized agents? 27:46 The future of MCP 29:38 Why agents need sandboxes 32:35 How sandboxes help with security 33:32 How Harrison Chase started LangChain 37:24 LangChain vs LangGraph vs Deep Agents 40:17 Why observability matters more for agents 41:48 Evals, no-code, and continuous improvement 44:41 What LangChain is building next 45:29 Where the real moat in AI lives

Everything Gets Rebuilt: my conversation with Harrison Chase, CEO of LangChain about agent harnesses, evals, runtimes, sandboxes, MCP and the future of the agent stack 00:00 Intro - meet Harrison Chase - at the Chase Center for the Daytona Compute conference 01:32 What changed in agents over the last year 03:57 Why coding agents are ahead 06:26 Do models commoditize the framework layer? 08:27 Harnesses, in plain English 10:11 Why system prompts matter so much 13:11 The upside — and downside — of subagents 15:31 Why a useful agent needs a filesystem 18:13 Additional core primitives of modern agents 19:12 Skills: the new primitive 20:19 What context compaction actually means 23:02 How memory works in agents 25:16 One mega-agent or many specialized agents? 27:46 The future of MCP 29:38 Why agents need sandboxes 32:35 How sandboxes help with security 33:32 How Harrison Chase started LangChain 37:24 LangChain vs LangGraph vs Deep Agents 40:17 Why observability matters more for agents 41:48 Evals, no-code, and continuous improvement 44:41 What LangChain is building next 45:29 Where the real moat in AI lives

Matt Turck

35,253 次观看 • 4 个月前