Latent Space - Videos

Back to Channel

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 ...

2,339 views • 61 likes • 2 comments • April 27, 2026

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...

8,515 views • 184 likes • 7 comments • April 22, 2026

🔬 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...

906 views • 24 likes • 2 comments • April 20, 2026

⚡️ 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...

5,089 views • 99 likes • 6 comments • April 18, 2026

⚡️ 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...

1 views • 1 likes • 0 comments • April 15, 2026

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...

8,408 views • 160 likes • 8 comments • April 15, 2026

⚡️ 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...

2,520 views • 45 likes • 8 comments • April 13, 2026

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...

35,441 views • 875 likes • 47 comments • April 07, 2026

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 ...

92,257 views • 2,537 likes • 216 comments • April 03, 2026

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...

5,868 views • 140 likes • 10 comments • April 02, 2026

The Stove Guy: Sam D'Amico Shows New AI Cooking Features on America's Most Powerful Stove at Impulse

In this episode, we visit Impulse with founder and CEO Sam D’Amico for a tour of the office, a live demo of the most powerful induction stove on the market, and a cooking session with new AI featur...

1,018 views • 24 likes • 3 comments • March 31, 2026

Mistral: Voxtral TTS, Forge, Leanstral, & Mistral 4 — w/ Pavan Kumar Reddy & Guillaume Lample

Mistral is one of the world's leading frontier model labs, and has just raised $900m to build their European data center hub. Last year marked their first ventures into multimodal models, with Pixt...

4,116 views • 62 likes • 16 comments • March 30, 2026

🔬There Is No AlphaFold for Materials — AI for Materials Discovery with Heather Kulik

Materials science is the unsung hero of the science world. Behind every physical product you interact was decades of research into getting the properties of materials just right. Your gym clothes c...

2,837 views • 71 likes • 12 comments • March 24, 2026

Dreamer: the Agent OS for Everyone — David Singleton

David Singleton, the longtime former CTO of Stripe, has now launched Dreamer, a new consumer-focused platform to discover, build, and use AI agents and “agentic apps,” centered on a customizable pe...

5,871 views • 94 likes • 10 comments • March 20, 2026

Anthropic’s Felix Rieseberg on AI Coworkers, Local-First Agents, and the Future of Knowledge Work

From building Electron and helping ship the Slack desktop app to now shaping Claude Cowork at Anthropic, Felix Rieseberg has spent years working at the interface layer. In this episode, Felix joins...

23,211 views • 429 likes • 31 comments • March 17, 2026

⚡️Monty: the ultrafast Python interpreter by Agents for Agents — Samuel Colvin, Pydantic

https://github.com/pydantic/monty

4,059 views • 71 likes • 3 comments • March 14, 2026

Retrieval After RAG: Hybrid Search, Agents, and Database Design — Simon Eskildsen of Turbopuffer

From spending nearly a decade scaling Shopify’s infrastructure to doing “angel engineering” for companies like Readwise and Replicate, Simon Hørup Eskildsen went through the arc of getting haunted ...

6,520 views • 104 likes • 11 comments • March 12, 2026

⚡️ OpenClaw's Memory Sucks and the fix is simple — Dhravya Shah, Supermemory

https://github.com/supermemoryai/openclaw-supermemory https://x.com/DhravyaShah/status/2023630749065228364 Timestamps 0:00 - The Evolution of Supermemory: Dhravya explains how his project starte...

3,318 views • 60 likes • 4 comments • March 09, 2026

Agent Inference at the "Speed of Light" — How NVIDIA moves like a $4.3 Trillion Startup

Swyx and Vibhu chat with Nader Khalil (https://x.com/naderlikeladder) and Kyle Kranen (https://x.com/KranenKyle) from NVIDIA about NVIDIA'S DX mission - Brev’s origin as a one-click way to access G...

6,100 views • 119 likes • 9 comments • March 08, 2026

Why Your AI Agents Don’t Work with Dex Horthy of HumanLayer | In-Context Cooking

In this episode, we have Dex Horthy, founder and CEO of Humanlayer and the mind behind “context engineering,” joining us to recreate restaurant-style Dan Dan noodles. From his first internship at N...

2,101 views • 36 likes • 8 comments • March 06, 2026

Cursor's Third Era: Cloud Agents — ft. Sam Whitmore, Jonas Nelle, Cursor

https://cursor.com/blog/third-era Cursor Cloud Agents: Tested PRs, Demo Videos, Parallel Model Swarms, and the Future of Agentic Coding swyx catches up with Jonas and Sam in the beautiful new Cur...

5,136 views • 72 likes • 2 comments • March 06, 2026

Why Every Agent Needs a Box — Aaron Levie, Box

swyx and guest host Jeff Huber (CEO of Chroma, past guest!) chat with Aaron Levie, CEO of Box, on how AI agents will transform enterprise knowledge work and why companies must adapt workflows to ma...

5,670 views • 99 likes • 11 comments • March 05, 2026

⚡️ Polsia: Solo Founder Tiny Team from 0 to 1m ARR in 1 month & the future of Self-Running Companies

https://x.com/bencera_/status/2027825976261111966?s=20

6,706 views • 124 likes • 14 comments • March 01, 2026

Measuring Exponential Trends Rising (in AI) — Joel Becker, METR

Joel Becker explains METR’s focus on Model Evaluation and Threat Research to assess whether AI could pose enormous or catastrophic risks. Becker discusses METR’s publicized work such as the time ho...

5,584 views • 96 likes • 6 comments • February 27, 2026

Dylan Patel Explains the AI War While Cooking | In-Context Cooking

In this episode, we have Dylan Patel founder and CEO of SemiAnalysis joining us to recreate restaurant-style chicken fried rice. From semiconductor bottlenecks and Nvidia’s paranoia, to $200B hyper...

12,392 views • 285 likes • 48 comments • February 26, 2026

‘You guys are so inefficient’ #substack #shorts

This is a clip from https://www.latent.space/p/paid-anthropic-distillation-and-how?utm_source=youtube_shorts See the full video: https://www.youtube.com/watch?v=7EBQ04OL-is #shorts #substack

1,201 views • 11 likes • 0 comments • February 26, 2026

Privacy or policing? #substack #shorts

This is a clip from https://www.latent.space/p/paid-anthropic-distillation-and-how?utm_source=youtube_shorts See the full video: https://www.youtube.com/watch?v=7EBQ04OL-is #shorts #substack

713 views • 2 likes • 0 comments • February 26, 2026

How models memorize from one pass #substack #shorts

This is a clip from https://www.latent.space/p/paid-anthropic-distillation-and-how?utm_source=youtube_shorts See the full video: https://www.youtube.com/watch?v=7EBQ04OL-is #shorts #substack

655 views • 5 likes • 1 comments • February 26, 2026

🔬Max Welling: Materials Underlie Everything

In this episode recorded at NeurIPS 2025, Max Welling traces the intellectual thread connecting quantum gravity, equivariant neural networks, diffusion models, and climate-focused materials discove...

2,315 views • 52 likes • 2 comments • February 25, 2026

Claude Code for Finance + The Global Memory Shortage: Doug O'Laughlin, SemiAnalysis

A special double pod on the 1 year anniversary of Claude Code: we chat with one of its most vocal fans, who thinks it will write 25-50% of all code on GitHub, plus get a breakdown on the memory cru...

7,250 views • 125 likes • 14 comments • February 24, 2026

The End of SWE-Bench Verified — Mia Glaese & Olivia Watkins, OpenAI Frontier Evals

Olivia Watkins (Frontier Evals team) and Mia Glaese (VP of Research at OpenAI, leading the Codex, human data, and alignment teams) discuss a new blog post (https://openai.com/index/why-we-no-longer...

4,033 views • 88 likes • 6 comments • February 23, 2026

Inside AI’s $10B+ Capital Flywheel — Martin Casado & Sarah Wang of a16z

From pioneering software-defined networking to backing many of the most aggressive AI model companies of this cycle, Martin Casado and Sarah Wang sit at the center of the capital, compute, and tale...

4,929 views • 81 likes • 6 comments • February 19, 2026

The AI Frontier: from Gemini 3 Deep Think distilling to Flash — Jeff Dean

From rewriting Google’s search stack in the early 2000s to reviving sparse trillion-parameter models and co-designing TPUs with frontier ML research, Jeff Dean has quietly shaped nearly every layer...

51,419 views • 1,069 likes • 59 comments • February 12, 2026

🔬Generating Molecules, Not Just Models

This episode traces the remarkable journey from AlphaFold2’s landmark achievement in protein structure prediction to the broader landscape of molecular interaction modeling and protein design. The ...

2,473 views • 64 likes • 8 comments • February 12, 2026

⚡️ Reverse Engineering OpenAI's Training Data — Pratyush Maini, Datology

Should you add reasoning traces to your pretraining data? There’s been a surge of academic work speculating its advantages. But do frontier labs actually do this? Turns out, we can answer confident...

2,586 views • 86 likes • 7 comments • February 10, 2026

Goodfire AI’s Bet: Interpretability as the Next Frontier of Model Design — Myra Deng & Mark Bissell

From Palantir and Two Sigma to building Goodfire into the poster-child for actionable mechanistic interpretability, Mark Bissell (Member of Technical Staff) and Myra Deng (Head of Product) are tryi...

3,537 views • 78 likes • 9 comments • February 05, 2026

⚡️Context Graphs: according to the authors — Jaya Gupta, Ashu Garg, Foundation Capital

In this Lightning pod, swyx hosts Jaya Gupta and Ashu Garg from Foundation Capital to discuss the emergence of context graphs. They define this new framework as the institutional memory of "the why...

9,502 views • 206 likes • 19 comments • February 04, 2026

🔬 From Red Teaming GPT-4 to Automating Drug Discovery: The Future of AI in Science — Andrew White

_Editor’s note: Welcome to our new AI for Science pod, with your new hosts RJ and Brandon! See the writeup on __Latent.Space_ (http://Latent.Space)_ for more details on why we’re launching 2 new po...

5,673 views • 105 likes • 7 comments • January 28, 2026

⚡️ Prism: OpenAI's LaTeX "Cursor for Scientists" — Kevin Weil & Victor Powell, OpenAI for Science

“2026 in AI for Science is going to look a lot like 2025 for Software Engineering” — Kevin Weil From building *Crixet* in stealth (so stealthy Kevin had to hunt down Victor on Reddit to explore an...

15,528 views • 273 likes • 49 comments • January 27, 2026

Captaining IMO Gold, Deep Think, On-Policy RL, Feeling the AGI in Singapore — Yi Tay

From shipping *Gemini Deep Think* and *IMO Gold* to launching the *Reasoning and AGI team in Singapore,* *Yi Tay* has spent the last 18 months living through the full arc of Google DeepMind's pivot...

5,687 views • 123 likes • 13 comments • January 23, 2026

Brex’s AI Hail Mary — With CTO James Reggio (acquired for $5B by Capital One!)

From building internal AI labs to becoming CTO of Brex, James Reggio has helped lead one of the most disciplined AI transformations inside a real financial institution where compliance, auditabilit...

3,745 views • 62 likes • 2 comments • January 17, 2026

Artificial Analysis: The Independent LLM Analysis House — with George Cameron and Micah Hill-Smith

don’t miss George’s AIE talk: https://www.youtube.com/watch?v=sRpqPgKeXNk —- From launching a side project in a Sydney basement to becoming the *independent gold standard for AI benchmarking*—trust...

4,211 views • 62 likes • 5 comments • January 09, 2026

[State of Research Funding] Beyond NSF, Slingshots, Open Frontiers — Andy Konwinski, Laude Institute

From co-founding *Databricks* and *Perplexity* to launching the *Laude Institute*—a dual venture fund and nonprofit designed to turbocharge the path from *research breakthrough to breakout company*...

1,420 views • 20 likes • 2 comments • December 31, 2025

[State of Code Evals] After SWE-bench, Code Clash & SOTA Coding Benchmarks recap — John Yang

From creating *SWE-bench* in a Princeton basement to shipping *CodeClash,* *SWE-bench Multimodal,* and *SWE-bench Multilingual,* *John Yang* has spent the last year and a half watching his benchmar...

1,496 views • 29 likes • 8 comments • December 31, 2025

[State of MechInterp] SAEs in Production, Circuit Tracing, AI4Science, "Pragmatic" Interp — Goodfire

From PhD research on grounding and language models to shipping interpretability tools in production at *Goodfire,* *Jack Merullo* and *Mark Bissell* are building the infrastructure to crack open th...

1,080 views • 16 likes • 1 comments • December 31, 2025

[State of AI Papers 2025] Fixing Research with Social Signals, OCR & Implementation — Team AlphaXiv

From late-night dorm-room hacking sessions at Stanford to building the most-used platform for navigating AI research, the founders of *AlphaXiv* have spent the last few years watching the archive f...

2,075 views • 61 likes • 6 comments • December 31, 2025

[NeurIPS Best Paper] 1000 Layer Networks for Self-Supervised RL — Kevin Wang et al, Princeton

From undergraduate research seminars at Princeton to winning *Best Paper award at NeurIPS 2025,* *Kevin Wang, Ishaan Javali, Michał Bortkiewicz, Tomasz Trzcinski, Benjamin Eysenbach* defied convent...

27,977 views • 784 likes • 23 comments • December 31, 2025

[State of Context Engineering] Agentic RAG, Context Rot, MCP, Subagents — Nina Lopatina, Contextual

From neuroscience PhD research on reward learning and decision making to building the infrastructure for *context engineering at scale,* *Nina Lopatina* has spent the last year watching a brand-new...

3,466 views • 68 likes • 2 comments • December 31, 2025

[State of Evals] LMArena's $1.7B Vision — Anastasios Angelopoulos, LMArena

_We are reupping this episode after LMArena announced their fresh Series A (_https://www.theinformation.com/articles/ai-evaluation-startup-lmarena-valued-1-7-billion-new-funding-round?rc=luxwz4_), ...

967 views • 11 likes • 0 comments • December 31, 2025

[State of Post-Training] From GPT-4.1 to 5.1: RLVR, Agent & Token Efficiency — Josh McGrath, OpenAI

From pre-training data curation to shipping *GPT-4o,* *o1,* *o3,* and now *GPT-5 thinking* and the *shopping model,* *Josh McGrath* has lived through the full arc of OpenAI's post-training evolutio...

2,632 views • 48 likes • 1 comments • December 31, 2025