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Get the inside story on the development of Gemini's coding capabilities. Listen as the product and research leads for Gemini share their philosophy on what makes a great coding model, the impact of "vibe coding," and the future of programming languages with Logan Kilpatrick, Connie Fan and Danny Tarlow....

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Google AI Developers

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65,474 görüntüleme • 1 yıl önce •via X (Twitter)

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@OfficialLoganK Ayyy its Logan

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snoopy191 yıl önce

@OfficialLoganK This is nice! Can you consider also enhancing formatting generally speaking? Especially on mobile app that would be great!

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Prime Domains (for Startups 🏆)1 yıl önce

@OfficialLoganK This is great. Integrate flutter vibe coding app deployment directly to Google Play Store 🏆 though firebase studio

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IAM + Mike1 yıl önce

@OfficialLoganK Love hearing the “inside story” on #AI and coding models. But out here, the real work is being done by folks adapting on the fly, solving in production, and teaching others without the mic. Theory is cool. Practice builds the runway. 👁️‍🗨️

Benzer Videolar

New podcast on vibe coding - A Return to Code. A Return to Coding 00:20 The Personal App Store 03:17 Vibe Coding Is a Video Game with Real-World Rewards 06:22 Pure Software Is Uninvestable 10:33 A Place for Each Model 14:22 AI Is Eager to Please 17:57 Why Math and Coding? 22:10 The Beginning of the End of Apple’s Dominance 24:17 Coding Agents As Customer Service Reps 27:55
29:36

New podcast on vibe coding - A Return to Code. A Return to Coding 00:20 The Personal App Store 03:17 Vibe Coding Is a Video Game with Real-World Rewards 06:22 Pure Software Is Uninvestable 10:33 A Place for Each Model 14:22 AI Is Eager to Please 17:57 Why Math and Coding? 22:10 The Beginning of the End of Apple’s Dominance 24:17 Coding Agents As Customer Service Reps 27:55

Naval

617,723 görüntüleme • 2 ay önce

The end of coding? *Epic* conversation with Guillermo Rauch of Vercel on vibe coding, MCP, agents and building products in the AI era. (00:00) - Intro: Guillermo's Story (02:08) - What is v0 and Why Did It Take Off So Fast? (04:10) - Building a hit product with < people (07:51) - Cursor, Replit, etc: v0 vs Other AI Coding Tools (10:35) - Everyone can cook - What is Vibe Coding? (17:05) - Is v0 Just Frontend? Moving Toward Full Stack 19:40 - How to Become a Great Vibe Coder (23:35) - A GUI for AI: The Future of Interfaces (29:46) - Developer Love vs Agent Love (33:41) - The Importance of Taste in the AI Era (39:10) - MCP: The Protocol for AI-to-AI Communication (43:11) - Security and the Risks of Agentic Web (45:25) - Are Enterprises Ready for the Agentic Future? (49:42) - Building a Data Flywheel (56:06) - The Vercel AI Cloud: From Pixels to Tokens (1:10:14) - Adapting to a Non-Developer Persona (1:13:47) - Retention, Margins, and the Business of AI (1:16:51) - The Secret Behind Vercel Last Year Growth (1:24:15) - The importance of Online Presence (1:30:49) - Everything, Everywhere, All at Once: Keeping your Sanity as a CEO (1:34:59) - Guillermo's Advice to Younger Self
1:45:40

The end of coding? *Epic* conversation with Guillermo Rauch of Vercel on vibe coding, MCP, agents and building products in the AI era. (00:00) - Intro: Guillermo's Story (02:08) - What is v0 and Why Did It Take Off So Fast? (04:10) - Building a hit product with < people (07:51) - Cursor, Replit, etc: v0 vs Other AI Coding Tools (10:35) - Everyone can cook - What is Vibe Coding? (17:05) - Is v0 Just Frontend? Moving Toward Full Stack 19:40 - How to Become a Great Vibe Coder (23:35) - A GUI for AI: The Future of Interfaces (29:46) - Developer Love vs Agent Love (33:41) - The Importance of Taste in the AI Era (39:10) - MCP: The Protocol for AI-to-AI Communication (43:11) - Security and the Risks of Agentic Web (45:25) - Are Enterprises Ready for the Agentic Future? (49:42) - Building a Data Flywheel (56:06) - The Vercel AI Cloud: From Pixels to Tokens (1:10:14) - Adapting to a Non-Developer Persona (1:13:47) - Retention, Margins, and the Business of AI (1:16:51) - The Secret Behind Vercel Last Year Growth (1:24:15) - The importance of Online Presence (1:30:49) - Everything, Everywhere, All at Once: Keeping your Sanity as a CEO (1:34:59) - Guillermo's Advice to Younger Self

Matt Turck

86,153 görüntüleme • 1 yıl önce

Claude Code is causing millions of people to ask the same question... Why should we pay for this software if I can build it in less than an hour? In this video > Build vs Buy Dilemma > The power of vibe coding > The skills of vibe coding > Real world examples of vibe coded internal tools > Ideas for getting started. TIMESTAMPS: 00:00 Intro 00:54 Quote from Vercel Founder 02:04 The Build vs. Buy Dilemma 05:08 The Traditional Software Development Process 06:39 The Power of Vibe Coding 07:09 Skills of Vibe Coding 08:46 Real-World Examples of Vibe Coding 15:52 Ideas for apps to get started 19:15 Future Trends and Conclusion
22:00

Claude Code is causing millions of people to ask the same question... Why should we pay for this software if I can build it in less than an hour? In this video > Build vs Buy Dilemma > The power of vibe coding > The skills of vibe coding > Real world examples of vibe coded internal tools > Ideas for getting started. TIMESTAMPS: 00:00 Intro 00:54 Quote from Vercel Founder 02:04 The Build vs. Buy Dilemma 05:08 The Traditional Software Development Process 06:39 The Power of Vibe Coding 07:09 Skills of Vibe Coding 08:46 Real-World Examples of Vibe Coding 15:52 Ideas for apps to get started 19:15 Future Trends and Conclusion

Riley Brown

36,464 görüntüleme • 5 ay önce

Honored to have interviewed GitHub CEO Thomas Dohmke about everything AI and programming. Full interview below: 0:00 - Intro 0:36 - First Time Seeing GPT 1:58 - Software Development Changing 4:51 - Tab Completion UX 8:48 - Should You Learn to Code Still? 15:08 - GitHub Copilot going Open Source 20:03 - Community Contribution to GitHub 23:00 - Future of Software (AI vs. Traditional) 26:22 - AI-based Operating System 31:27 - Vibe Coding 36:11 - How to Make Vibe Coding Better 40:09 - Optimal Kind of Coding Assistant 44:20 - AI Anxiety
47:17

Honored to have interviewed GitHub CEO Thomas Dohmke about everything AI and programming. Full interview below: 0:00 - Intro 0:36 - First Time Seeing GPT 1:58 - Software Development Changing 4:51 - Tab Completion UX 8:48 - Should You Learn to Code Still? 15:08 - GitHub Copilot going Open Source 20:03 - Community Contribution to GitHub 23:00 - Future of Software (AI vs. Traditional) 26:22 - AI-based Operating System 31:27 - Vibe Coding 36:11 - How to Make Vibe Coding Better 40:09 - Optimal Kind of Coding Assistant 44:20 - AI Anxiety

Matthew Berman

18,262 görüntüleme • 1 yıl önce

My conversation with Amjad Masad, CEO of Replit. 0:00 Intro 1:05 Who is Replit for? 3:00 What's New from Replit 9:05 How Vibe Coding has Progressed 11:58 Vibe Coding Reliability Issues 13:02 The Edges of Vibe Coding 18:36 What Makes the Best Model 21:24 How Replit Stands Out 26:40 Platform Risk 29:24 Should You Still Learn to Code 33:21 The Agentic Future 37:57 End to End Neural Networks 39:58 White Collar Work 46:58 Permanent Underclass 51:42 10 Year Overnight Success
56:44

My conversation with Amjad Masad, CEO of Replit. 0:00 Intro 1:05 Who is Replit for? 3:00 What's New from Replit 9:05 How Vibe Coding has Progressed 11:58 Vibe Coding Reliability Issues 13:02 The Edges of Vibe Coding 18:36 What Makes the Best Model 21:24 How Replit Stands Out 26:40 Platform Risk 29:24 Should You Still Learn to Code 33:21 The Agentic Future 37:57 End to End Neural Networks 39:58 White Collar Work 46:58 Permanent Underclass 51:42 10 Year Overnight Success

Matthew Berman

32,165 görüntüleme • 9 ay önce

Claude Code is a major (and accidental!) hit for Anthropic that surprised even its creator, Boris Cherny. Claude Code, an Agentic AI coding product that lives in the terminal. Most of the new code at Anthropic is created through it today. And in the last 5 months since it was launched publicly, Claude Code went from $0 to $400M in revenue run rate (as per The Information). 00:00 – Intro 01:15 – Did You Expect Claude Code’s Success? 04:22 – How Claude Code Works and Origins 08:05 – Command Line vs IDE: Why Start Claude Code in the Terminal? 11:31 – The Evolution of Programming: From Punch Cards to Agents 13:20 – Product Follows Model: Simple Interfaces and Fast Evolution 15:17 – Who Is Claude Code For? (Engineers, Designers, PMs & More) 17:46 – What Can Claude Code Actually Do? (Actions & Capabilities) 21:14 – Agentic Actions, Subagents, and Workflows 25:30 – Claude Code’s Awareness, Memory, and Knowledge Sharing 33:28 – Model Context Protocol (MCP) and Customization 35:30 – Safety, Human Oversight, and Enterprise Considerations 38:10 – UX/UI: Making Claude Code Useful and Enjoyable 40:44 – Pricing for Power Users and Subscription Models 43:36 – Real-World Use Cases: Debugging, Testing, and More 46:44 – How Does Claude Code Transform Onboarding? 49:36 – The Future of Coding: Agents, Teams, and Collaboration 54:11 – The AI Coding Wars: Competition & Ecosystem 57:27 – The Future of Coding as a Profession 58:41 – What’s Next for Claude Code
1:00:16

Claude Code is a major (and accidental!) hit for Anthropic that surprised even its creator, Boris Cherny. Claude Code, an Agentic AI coding product that lives in the terminal. Most of the new code at Anthropic is created through it today. And in the last 5 months since it was launched publicly, Claude Code went from $0 to $400M in revenue run rate (as per The Information). 00:00 – Intro 01:15 – Did You Expect Claude Code’s Success? 04:22 – How Claude Code Works and Origins 08:05 – Command Line vs IDE: Why Start Claude Code in the Terminal? 11:31 – The Evolution of Programming: From Punch Cards to Agents 13:20 – Product Follows Model: Simple Interfaces and Fast Evolution 15:17 – Who Is Claude Code For? (Engineers, Designers, PMs & More) 17:46 – What Can Claude Code Actually Do? (Actions & Capabilities) 21:14 – Agentic Actions, Subagents, and Workflows 25:30 – Claude Code’s Awareness, Memory, and Knowledge Sharing 33:28 – Model Context Protocol (MCP) and Customization 35:30 – Safety, Human Oversight, and Enterprise Considerations 38:10 – UX/UI: Making Claude Code Useful and Enjoyable 40:44 – Pricing for Power Users and Subscription Models 43:36 – Real-World Use Cases: Debugging, Testing, and More 46:44 – How Does Claude Code Transform Onboarding? 49:36 – The Future of Coding: Agents, Teams, and Collaboration 54:11 – The AI Coding Wars: Competition & Ecosystem 57:27 – The Future of Coding as a Profession 58:41 – What’s Next for Claude Code

Matt Turck

82,161 görüntüleme • 11 ay önce

A conversation with Claude Code's creator Boris Cherny on the future of agentic coding, the evolution of coding models, and how he uses Claude Code to build Claude Code.
20:20

A conversation with Claude Code's creator Boris Cherny on the future of agentic coding, the evolution of coding models, and how he uses Claude Code to build Claude Code.

Alex Albert

81,455 görüntüleme • 10 ay önce

🎙️ State of Agentic Coding with Armin Ronacher ⇌ returns for Episode 7 In this pre-Fable 5 episode: - looping? - no more human-designed programming languages? - the state of local coding models - the marketing of token-maxing, and more
1:34:31

🎙️ State of Agentic Coding with Armin Ronacher ⇌ returns for Episode 7 In this pre-Fable 5 episode: - looping? - no more human-designed programming languages? - the state of local coding models - the marketing of token-maxing, and more

Ben Vinegar

71,783 görüntüleme • 25 gün önce

A masterclass from Jeremy Howard on why AI coding tools can be a trap -- and what 45 years of programming taught him that most vibe coders will never learn. - AI coding tools exploit gambling psychology - The difference between typing code and software engineering - Enterprise coding AND prompt-only vibe coding are "inhumane" i.e. disconnecting humans from understanding-building - AI tools remove the "desirable difficulty" you need to build deep mental models. Out on MLST now!
7:21

A masterclass from Jeremy Howard on why AI coding tools can be a trap -- and what 45 years of programming taught him that most vibe coders will never learn. - AI coding tools exploit gambling psychology - The difference between typing code and software engineering - Enterprise coding AND prompt-only vibe coding are "inhumane" i.e. disconnecting humans from understanding-building - AI tools remove the "desirable difficulty" you need to build deep mental models. Out on MLST now!

Machine Learning Street Talk

169,851 görüntüleme • 4 ay önce

Ex-DeepMind researcher Misha Laskin on building superintelligence, coding as a shortcut, reinforcement learning, launching Reflection AI's first product, Asimov, and competing with the big AI labs 00:00 - Intro 01:42 - Reflection AI: Company Origins and Mission 04:14 - Making Superintelligence Concrete 06:04 - ASI vs. AGI: Why the Goalposts Moved 07:55 - Organizational Superintelligence as an Oracle 12:05 - Coding as Shortcut: Hands, Legs & Brain for AI 20:55 - Capturing Tribal Knowledge in Organizations 26:31 - Introducing Asimov: Deep Research for Code 28:44 - Team-Wide Memory 33:07 - Multi-Agent Design 34:48 - Data Retrieval and Integration in Asimov 39:41 - Reinforcement Learning in Asimov 41:04 - Misha's Journey: From Physics to AI 42:06 - Growing Up in a Science-Driven Desert Town 53:03 - Building General Agents at DeepMind 56:57 - Founding Reflection AI After DeepMind 58:54 - Product vs tech in AI 1:02:22 - The State of Autonomous Coding Agents 1:04:26 - What's Next for Reflection AI
1:06:29

Ex-DeepMind researcher Misha Laskin on building superintelligence, coding as a shortcut, reinforcement learning, launching Reflection AI's first product, Asimov, and competing with the big AI labs 00:00 - Intro 01:42 - Reflection AI: Company Origins and Mission 04:14 - Making Superintelligence Concrete 06:04 - ASI vs. AGI: Why the Goalposts Moved 07:55 - Organizational Superintelligence as an Oracle 12:05 - Coding as Shortcut: Hands, Legs & Brain for AI 20:55 - Capturing Tribal Knowledge in Organizations 26:31 - Introducing Asimov: Deep Research for Code 28:44 - Team-Wide Memory 33:07 - Multi-Agent Design 34:48 - Data Retrieval and Integration in Asimov 39:41 - Reinforcement Learning in Asimov 41:04 - Misha's Journey: From Physics to AI 42:06 - Growing Up in a Science-Driven Desert Town 53:03 - Building General Agents at DeepMind 56:57 - Founding Reflection AI After DeepMind 58:54 - Product vs tech in AI 1:02:22 - The State of Autonomous Coding Agents 1:04:26 - What's Next for Reflection AI

Matt Turck

11,971 görüntüleme • 11 ay önce

Part 2 of the Naval Podcast with Guillermo Rauch, Max Hodak, and Blake Scholl 🛫. Vibe Coding Hardware 00:35 Vibe Coding a Turbine Blade 04:04 Open Source AI Compounds China’s Advantage 06:12 You Always Want the Smartest Model 08:41 Software Still Needs Hands 10:40 Humans Are Becoming Verifiers
13:56

Part 2 of the Naval Podcast with Guillermo Rauch, Max Hodak, and Blake Scholl 🛫. Vibe Coding Hardware 00:35 Vibe Coding a Turbine Blade 04:04 Open Source AI Compounds China’s Advantage 06:12 You Always Want the Smartest Model 08:41 Software Still Needs Hands 10:40 Humans Are Becoming Verifiers

Naval

129,076 görüntüleme • 1 ay önce

.@replit CEO Amjad Masad on vibe coding: "We started our company even 10 years ago before vibe coding, with the express mission of creating a billion new software developers. Now, with the rise of AI, what happened is AI turned out to be really good at coding." #AxiosAISummit
1:43

.@replit CEO Amjad Masad on vibe coding: "We started our company even 10 years ago before vibe coding, with the express mission of creating a billion new software developers. Now, with the rise of AI, what happened is AI turned out to be really good at coding." #AxiosAISummit

Axios

32,814 görüntüleme • 3 ay önce

Introducing GLM-5V-Turbo: Vision Coding Model - Native Multimodal Coding: Natively understands multimodal inputs including images, videos, design drafts, and document layouts. - Balanced Visual and Programming Capabilities: Achieves leading performance across core benchmarks for multimodal coding, tool use, and GUI Agents. - Deep Adaptation for Claude Code and Claw Scenarios: Works in deep synergy with Agents like Claude Code and OpenClaw. Try it now: API: Coding Plan trial applications:
1:17

Introducing GLM-5V-Turbo: Vision Coding Model - Native Multimodal Coding: Natively understands multimodal inputs including images, videos, design drafts, and document layouts. - Balanced Visual and Programming Capabilities: Achieves leading performance across core benchmarks for multimodal coding, tool use, and GUI Agents. - Deep Adaptation for Claude Code and Claw Scenarios: Works in deep synergy with Agents like Claude Code and OpenClaw. Try it now: API: Coding Plan trial applications:

Z.ai

1,963,470 görüntüleme • 3 ay önce

Caught up with Andrej Karpathy for a new No Priors: on the phase shift in engineering, AI psychosis, claws, AutoResearch, the opportunity for a SETI-at-Home like movement in AI, the model landscape, and second order effects 02:55 - What Capability Limits Remain? 06:15 - What Mastery of Coding Agents Looks Like 11:16 - Second Order Effects of Coding Agents 15:51 - Why AutoResearch 22:45 - Relevant Skills in the AI Era 28:25 - Model Speciation 32:30 - Collaboration Surfaces for Humans and AI 37:28 - Analysis of Jobs Market Data 48:25 - Open vs. Closed Source Models 53:51 - Autonomous Robotics and Atoms 1:00:59 - MicroGPT and Agentic Education 1:05:40 - End Thoughts
1:06:31

Caught up with Andrej Karpathy for a new No Priors: on the phase shift in engineering, AI psychosis, claws, AutoResearch, the opportunity for a SETI-at-Home like movement in AI, the model landscape, and second order effects 02:55 - What Capability Limits Remain? 06:15 - What Mastery of Coding Agents Looks Like 11:16 - Second Order Effects of Coding Agents 15:51 - Why AutoResearch 22:45 - Relevant Skills in the AI Era 28:25 - Model Speciation 32:30 - Collaboration Surfaces for Humans and AI 37:28 - Analysis of Jobs Market Data 48:25 - Open vs. Closed Source Models 53:51 - Autonomous Robotics and Atoms 1:00:59 - MicroGPT and Agentic Education 1:05:40 - End Thoughts

sarah guo

2,965,984 görüntüleme • 3 ay önce

i tested a fully local ai coding setup: gemma4 from Google DeepMind running through LM Studio, paired with pi which is a minimal open source coding harness this is part 1 of a two part series. here we cover the why and the complete hands-on setup 0:00 - Running a coding agent fully local 0:47 - Why Pi as the coding agent harness 1:39 - Why Gemma 4 and which variant to pick 2:44 - Architecture: Pi, LM Studio and Gemma 4 3:45 - LM Studio setup and model download 5:01 - Starting the local server 5:19 - API sanity check with curl 6:08 - Installing the Pi coding agent 6:20 - Configuring models.json for local models 8:20 - First run: selecting the model in Pi 8:58 - Fixing the context length error 10:16 - Testing the working setup 10:50 - What is coming in Part 2
11:32

i tested a fully local ai coding setup: gemma4 from Google DeepMind running through LM Studio, paired with pi which is a minimal open source coding harness this is part 1 of a two part series. here we cover the why and the complete hands-on setup 0:00 - Running a coding agent fully local 0:47 - Why Pi as the coding agent harness 1:39 - Why Gemma 4 and which variant to pick 2:44 - Architecture: Pi, LM Studio and Gemma 4 3:45 - LM Studio setup and model download 5:01 - Starting the local server 5:19 - API sanity check with curl 6:08 - Installing the Pi coding agent 6:20 - Configuring models.json for local models 8:20 - First run: selecting the model in Pi 8:58 - Fixing the context length error 10:16 - Testing the working setup 10:50 - What is coming in Part 2

Nidhi Singh

16,289 görüntüleme • 26 gün önce

New Benchtalks with John Yang: on ProgramBench (0% frontier models at launch) and the lineage/future of coding benchmarks, from SWE-bench/InterCode to now 01:29 ProgramBench launch and reception 03:41 Why artifact-level evaluation, not code-level 06:03 Why models love Python 08:29 ProgramBench as a research tool 12:45 From SWE-bench & InterCode to ProgramBench 17:47 How to grade a coding model 21:53 The position paper & humans in the loop 25:01 Managing quality with agents-in-the-loop 28:40 Internet access and benchmark integrity 35:26 Where models may surpass human abilities 38:56 When a model hits 80% on ProgramBench 43:55 Benchmarks worth paying attention to 46:24 What benchmark do you wish existed 49:32 Will benchmarks still look like benchmarks in 5 years 52:02 How to contribute to ProgramBench
54:13

New Benchtalks with John Yang: on ProgramBench (0% frontier models at launch) and the lineage/future of coding benchmarks, from SWE-bench/InterCode to now 01:29 ProgramBench launch and reception 03:41 Why artifact-level evaluation, not code-level 06:03 Why models love Python 08:29 ProgramBench as a research tool 12:45 From SWE-bench & InterCode to ProgramBench 17:47 How to grade a coding model 21:53 The position paper & humans in the loop 25:01 Managing quality with agents-in-the-loop 28:40 Internet access and benchmark integrity 35:26 Where models may surpass human abilities 38:56 When a model hits 80% on ProgramBench 43:55 Benchmarks worth paying attention to 46:24 What benchmark do you wish existed 49:32 Will benchmarks still look like benchmarks in 5 years 52:02 How to contribute to ProgramBench

vincent sunn chen

26,490 görüntüleme • 1 ay önce

Vibe Coding: The act of using only your voice in Cursor Composer to build apps, forgetting the code even exists Complete Video Tutorial Some people are skeptical about this new method of programming so why don't we build a ChatGPT clone with real time voice ( Andrej Karpathy 's voice) without typing, using Whispr Flow. For me "vibe coding" is my only option. Because i've never written a line of code. Time Stamps: 00:00 Intro to Vibe Coding (pretty corny) 03:02 Opening Cursor 04:07 Starting Your First Project from Template Link (Pinned to bio of @senior_swc ) 05:12 Building a ChatGPT Clone, Getting Started 06:38 Prompting, API's and Documentation Explanation 08:49 Using Perplexity (Input output custom spaces for coding) 12:07 Vibe Code Prompt 1 13:58 Result of Vibe Coding Prompt 1 15:22 Seeing Prompt 2 15:43 Managing Cursor Composer Context Length 16:25 Designing 17:21 Debugging with Inspect on Web View 18:20 Fixing Formatting 19:04 More Vibing, Lol 20:51 Saving and Uploading Projects to GitHub 21:59 Enhancing the User Experience 22:33 Honoring Andrej Karpathy 26:26 Implementing Real Time Karpathy Voice 28:30 Getting Karpathys Voice (Don't Do this It's Illegal) don't ban me i love you
33:47

Vibe Coding: The act of using only your voice in Cursor Composer to build apps, forgetting the code even exists Complete Video Tutorial Some people are skeptical about this new method of programming so why don't we build a ChatGPT clone with real time voice ( Andrej Karpathy 's voice) without typing, using Whispr Flow. For me "vibe coding" is my only option. Because i've never written a line of code. Time Stamps: 00:00 Intro to Vibe Coding (pretty corny) 03:02 Opening Cursor 04:07 Starting Your First Project from Template Link (Pinned to bio of @senior_swc ) 05:12 Building a ChatGPT Clone, Getting Started 06:38 Prompting, API's and Documentation Explanation 08:49 Using Perplexity (Input output custom spaces for coding) 12:07 Vibe Code Prompt 1 13:58 Result of Vibe Coding Prompt 1 15:22 Seeing Prompt 2 15:43 Managing Cursor Composer Context Length 16:25 Designing 17:21 Debugging with Inspect on Web View 18:20 Fixing Formatting 19:04 More Vibing, Lol 20:51 Saving and Uploading Projects to GitHub 21:59 Enhancing the User Experience 22:33 Honoring Andrej Karpathy 26:26 Implementing Real Time Karpathy Voice 28:30 Getting Karpathys Voice (Don't Do this It's Illegal) don't ban me i love you

Riley Brown

73,838 görüntüleme • 1 yıl önce

Sonnet 4.5 & the AI Plateau Myth — epic conversation with Sholto Douglas of Anthropic 0:00 - Intro 1:09 - What's Behind The Rapid Pace of AI Releases at Anthropic 2:49 - Opus, Sonnet, and Haiku Model Tiers 4:14 - Sholto's Story: From Australian Fencer to AI Researcher 12:01 - The YouTube Effect: Mastery Through Observation 16:16 - Breaking Into AI Research Without Traditional Academic Signals 18:29 - DeepMind, Gemini, and Building Inference Stacks 23:05 - Why Anthropic? Culture and Mission Differences Amongst AI Research Labs 25:08 - What Is "Taste" in AI Research? 31:46 - This Week's Big Launch: Sonnet 4.5, Best Coding Model in the World 36:40 - From 7 Hours to 30 Hours: The Long-Running AI Agent Breakthrough 38:41 - How AI Agents Self-Correct and Maintain Coherence 43:13 - The Role of Memory in Extended Coding Sessions 47:42 - Pre-Training vs. RL: Textbooks vs. Worked Problems 52:11 - Test-Time Compute & Reinforcement Learning 55:55 - Why RL Finally Started Working on LLMs in 2024 59:38 - The Path to AGI 1:02:05 - Are We Hitting a Plateau in AI? So Many Low Hanging Fruits 1:03:41 - Beyond Coding: GDPVal & Impact Economic Sectors 1:05:47 - Preparing for 10-100x Individual Leverage & The Upcoming Robotics Explosion
1:10:03

Sonnet 4.5 & the AI Plateau Myth — epic conversation with Sholto Douglas of Anthropic 0:00 - Intro 1:09 - What's Behind The Rapid Pace of AI Releases at Anthropic 2:49 - Opus, Sonnet, and Haiku Model Tiers 4:14 - Sholto's Story: From Australian Fencer to AI Researcher 12:01 - The YouTube Effect: Mastery Through Observation 16:16 - Breaking Into AI Research Without Traditional Academic Signals 18:29 - DeepMind, Gemini, and Building Inference Stacks 23:05 - Why Anthropic? Culture and Mission Differences Amongst AI Research Labs 25:08 - What Is "Taste" in AI Research? 31:46 - This Week's Big Launch: Sonnet 4.5, Best Coding Model in the World 36:40 - From 7 Hours to 30 Hours: The Long-Running AI Agent Breakthrough 38:41 - How AI Agents Self-Correct and Maintain Coherence 43:13 - The Role of Memory in Extended Coding Sessions 47:42 - Pre-Training vs. RL: Textbooks vs. Worked Problems 52:11 - Test-Time Compute & Reinforcement Learning 55:55 - Why RL Finally Started Working on LLMs in 2024 59:38 - The Path to AGI 1:02:05 - Are We Hitting a Plateau in AI? So Many Low Hanging Fruits 1:03:41 - Beyond Coding: GDPVal & Impact Economic Sectors 1:05:47 - Preparing for 10-100x Individual Leverage & The Upcoming Robotics Explosion

Matt Turck

93,678 görüntüleme • 9 ay önce

“the best programmers are using AI already.” here is what a senior programmer who’s been coding for decades thinks about the future of programming:
1:25

“the best programmers are using AI already.” here is what a senior programmer who’s been coding for decades thinks about the future of programming:

ℏεsam

248,375 görüntüleme • 5 ay önce