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Latent Space

@latentspacepod

The podcast & newsletter where 170,000+ AI Engineers gather to talk models, tools and ideas. Breaking news today you will use at work tomorrow! Full show notes and newsletter at https://latent.space

Channel created: June 19, 2023

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The $15B Physical AI Company: Simulation, Autonomy OS, Neural Sim, & 1K Engineers—Applied Intuition

From building Applied Intuition from YC-era autonomy tooling into a $15B physical AI company, Qasar Younis and Peter Ludwig have spent the last decade living through the full arc of autonomy: from ...

AI-Native Engineering: 100% adoption, 5x search throughput, unlimited tokens — Mikhail Parakhin

From running one of the most aggressive internal AI rollouts in tech to building systems that simulate customers, optimize ML pipelines, and rethink search latency from first principles, Mikhail Pa...

🔬 Training Transformers to solve 95% failure rate of Cancer Trials — Ron Alfa & Daniel Bear, Noetik

TL;DR: 95% of cancer treatments fail to pass clinical trials, but it may be a matching problem — if we better understood what patients have which tumors which will respond to which treatments, succ...

⚡️ How to turn Documents into Knowledge: Graphs in Modern AI — Emil Eifrem, CEO Neo4J

The core argument: AI systems need more than top-K chunks. They need structured context about entities, relationships, permissions, authorship, provenance, and history. GraphRAG combines vector sea...

⚡️ Competing with ChatGPT and Sierra, building a $10M ARR company — Yasser Elsaid, Founder, Chatbase

Resources: https://x.com/yasser_elsaid_/status/1632401916771590144 https://x.com/yasser_elsaid_/status/1878899512443379918 https://x.com/yasser_elsaid_/status/2039038515019997210 https://x.co...

Notion’s Sarah Sachs & Simon Last on Custom Agents, Evals, and the Future of Work

Sarah Sachs and Simon Last of Notion join us for a deep dive into how Notion built Custom Agents, why it took years and multiple rebuilds to get right, and what it means to turn a productivity tool...

⚡️ The best engineers don't write the most code. They delete the most code. — Stay Sassy

Anonymous tech writers Stay Sassy join swyx to talk about AI budgets, per-person token spend, build vs buy, and why code review matters more, not less, in the age of AI coding tools. https://stays...

Extreme Harness Engineering: 1M LOC, 1B toks/day, 0% human code or review — Ryan Lopopolo, OpenAI

We’re proud to release this ahead of Ryan’s keynote at AIE Europe. Hit the bell, get notified when it is live! Attendees: come prepped for Ryan’s AMA with Vibhu after. Move over, context engineeri...

Marc Andreessen introspects on Death of the Browser, Pi + OpenClaw, and Why "This Time Is Different"

From Mosaic and Netscape to cofounding @a16z, Marc Andreessen has lived through multiple computing platform shifts firsthand. In this episode, Marc joins swyx and Alessio in a16z’s original office ...

Moonlake: Interactive, Multimodal World Models — with Chris Manning and Fan-yun Sun

We’ve been on a bit of a mini World Models series over the last quarter: from introducing the topic with Yi Tay, to exploring Marble with World Labs’ Fei-Fei Li and Justin Johnson, to previewing Wo...