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From Semiconductors to Positron
OpenAI Going Open Source
OpenAI's upcoming open source model: Is it real or just PR? Nathan shares insider perspective on what to actually expect and why it matters.
Data is all you need: The Bitter Lesson Revisited - Ari Morcos
Ari tells us about how he learned The Bitter Lesson the hard way.
Maximizing Memory Bandwidth for AI
⚡️Launching Ona: Coding Agent with Fully Sandboxed Cloud Environment
Today we're taking a first look at Ona, a new agentic software development platform from the creators of Gitpod. Chris and Johannes from Gitpod explain their journey from a one-click web IDE to a p...
Transformers Memory Bound vs CNN
Local AI vs Cloud: The Hard Truth 💭
The surprising truth about local AI vs cloud APIs! Why running your own GPU might not be worth it, and the real economics behind AI infrastructure decisions
OpenAI's Secret Plan for GPT-5 Revealed! 🔥
OpenAI's strategy revealed! Why they're moving away from multiple models to a unified interface, and how this could change the future of AI. Essential insights for anyone following AI development
Better Data is All You Need — Ari Morcos, Datology
Our chat with Ari shows that *data curation is the most impactful and underinvested area in AI.* He argues that the prevailing focus on model architecture and compute scaling overlooks the "bitter ...
Why Hybrid AI Models Will Die Out 🤖
Nathan Lambert explains how ChatGPT-4 and Claude handle reasoning differently, and why hybrid reasoning models might become obsolete as compute gets cheaper. Key insights into the future of AI models!
Denoising Text with Transformers
AI Search Traditional Ranking Still Matters
Diffusion Models Faster Text Generation
Unveiling Business Insights
Long Live Context Engineering - with Jeff Huber of Chroma
Jeff Huber of Chroma joins us to talk about what actually matters in vector databases in 2025, why “modern search for AI” is different, and how to ship systems that don’t rot as context grows. Ful...
Composio Meta Tool Discovery
Greg Brockman on why OpenAI turned to Reinforcement Learning for o1/GPT5
⚡️Accelerators @ 3x NVIDIA H200 perf, Made in the USA - Thomas Sohmers + Mitesh Agrawal, Positron AI
*Mitesh and Thomas from Positron AI join us their journey building super efficient accelerators and taking on NVIDIA* : https://www.positron.ai/ They discuss the founding of their company, their b...
Greg Brockman on OpenAI's Road to AGI
Greg Brockman, co-founder and president of OpenAI, joins us to talk about GPT-5 and GPT-OSS, the future of software engineering, why reinforcement learning is still scaling, and how OpenAI is plann...
Energy & Data AI's Intelligence Denominators
We Don’t Teach Textbook Language
Why Speak teaches real-world slang and NOT textbook language. The team is on a mission to help users sound natural, not robotic
The Day Whisper Changed Everything
When Whisper and GPT-4 dropped, Speak’s founders realized their vision from 2016 was finally possible. Here's what it felt like to see the future arrive.
Will AI Kill Language Learning
Will AI translation kill language learning? Andrew explains why real-time translation won’t replace the desire to truly speak a language—and the surprising technical blocker in German.
Why We Went Premium Only Early
Why Speak ditched free users, built a premium-only model, and focused entirely on South Korea. The turning point that led to product-market fit and explosive growth.
Surviving AI Winter Before ChatGPT
Speak’s co-founder shares how they survived the long winter before LLMs and speech models like Whisper. Custom speech models, non-native speaker data, and a relentless belief in the vision kept the...
RAG Is a Mind Virus?!
RAG is dead. FastApply is dying. Why Klein bets on throwing the best model at the task instead of clever hacks. “Simplicity always wins,” they say.
Klein vs the Forks Real Beef
Twitter beef or friendly roast? Klein’s open-source model has been forked thousands of times—some even raised millions. Here’s how they really feel about the clones.
The AI Agenda: GPT5 leaks and the business of AI News — Steph Palazzolo, The Information
Today we are excited to feature our first ever professional journalist on the pod - Steph Palazzolo, who writes The AI Agenda at The Information (https://www.theinformation.com/features/ai-agenda/)...
Devs Are Monetizing AI Tools!
Is MCP the future of dev tooling? From magic UI components to Reddit scrapers, devs are monetizing and extending Klein through open-source MCP servers.
Dev Fixes Bug with Just One Prompt
Coding is just the start. One dev fixed a Cloudflare bug, closed a GitHub issue, and deployed—all inside VS Code using Klein. Natural language + MCP = next-level automation.
Klein’s Origin Story: Built in 10 Days
Klein was born just 10 days after Claude 3.5 dropped. Hear how one dev saw the future of agentic coding and built a tool that outpaced Copilot and Cursor in reasoning and long-context understanding
OpenCode: Claude Code but Open Source, with Any Model, and frontier TUI - with Dax Reed (@thdxr)
https://github.com/sst/opencode (https://github.com/sst/opencode#how-is-this-different-than-claude-code) We caught up with Dax of OpenCode and SST about his virally popular project, and his primary...
Why AI Writes BAD Code 🚫
The truth about AI code generation! Why current AI models write terrible defensive code and what this reveals about the limitations of reinforcement learning in programming
Plan & Act: How Devs Work with AI
Plan and Act"—Klein’s unique two-mode system that lets you guide your coding agent like a pro. Learn how devs use plan mode to brainstorm and act mode to execute, all while sipping coffee.
Klein The Agent That Codes for You
What is Klein? Discover how this open-source coding agent transforms your entire developer workflow. From VS Code to the browser, Klein takes over and gets the job done—so you can sit back and relax
⚡️Mercury: Ultra-Fast Diffusion LLMs — Estefano Ermon, CEO Inception Labs
https://arxiv.org/abs/2506.17298 We present Mercury, a new generation of commercial-scale large language models (LLMs) based on diffusion. These models are parameterized via the Transformer archit...
⚡️Composio: 10,000+ tools that evolve for Agents — Karan Vaidya and Soham Ganatra
We met with Karan and Soham, cofounders of Composio, to talk over their Series A announcement! https://composio.dev/blog/series-a AI agents today don't learn from experience. You can engineer prom...
AI Influencers Beauty Over Brain
The RLVR Revolution — with Nathan Lambert (AI2, Interconnects.ai)
00:00:00 Welcome and Guest Introduction 00:01:18 Tulu, OVR, and the RLVR Journey 00:03:40 Industry Approaches to Post-Training and Preference Data 00:06:08 Understanding RLVR and Its Impact 00:06:1...
Warp's Local Sandbox Advantage
Using RFT to Build Clinical Superintelligence
Brendan Fortuner, Head of Eng at Ambience AI, was one of the OpenAI RFT launch partner. Today we talk about how they used reinforcement fine tuning to help doctors spend less time taking notes in m...
🕰️ The Oral History of Windsurf (ft. Varun Mohan, Scott Wu, Jeff Wang, Kevin Hou, Anshul R)
*This is a recap episode that ends with a short fresh interview on the future of Windsurf + Cognition with Jeff Wang and Scott Wu at the end.* As the story of Windsurf as an independent company has...
Warp's Universal Input Auto Detecting Commands
⚡️Math Olympiad gold medalist explains OpenAI and Google DeepMind IMO Gold Performances
Math Olympiad gold medalist explains OpenAI and Google DeepMind IMO Gold Performances https://frontiermath-symposium.epoch.ai/ https://epoch.ai/frontiermath/tier-4 https://news.smol.ai/issue...
AI is Eating Search
ChatGPT handles 2.5B prompts/day and is on track to match Google's daily searches by end of 2026. AI agents don't browse like us—they crave queryable, chunkable data for tools like ChatGPT & Perple...
Beyond AlphaGo
The hidden flaws of minimax training, the myth of generalizable strategy, and designing AI for real-world complexity
AlphaZero vs. ChatGPT
What Strategic Games Taught Us About AI — and Why It Doesn’t Translate to Language
AI Agents That Pay for Their Own Tools? The Future of MCP Monetization
Wild vision from Cline: agents that pay themselves for MCP tools 🤯 Instead of juggling API keys for every service, imagine a unified payment layer where AI agents automatically handle transactio...
The Gathering Breaks AI
Noam explains why Magic: The Gathering is so hard for AI—and what it teaches us about hidden information and reasoning in games
Does AI Need Intuition First?
From Pokémon battles to chess, Noam dives into how much intuition (System 1) an AI needs before it can think deeply (System 2) about a game.