
Latent Space
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
Episodes


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[Paper Club] Weight Streaming on Wafer-Scale Clusters (w/ Sarah Chieng of Cerebras)

$8M ARR in 2 months as a Claude Wrapper
In this episode of the Latent Space podcast, hosts Itamar, CEO and co-founder of Qodo (formerly Codium AI), and Eric, founder of Bolt.new (built on Stackblitz technology), dive into the achievements of their innovative AI-powered developer tools. Qodo specializes in AI-driven testing and code review tailored for enterp...

[Paper Club] Embeddings in 2024: OpenAI, Nomic Embed, Jina Embed, cde-small-v1 - with swyx

The new Claude 3.5 Sonnet, Computer Use, and Building SOTA Agents — with Erik Schluntz, Anthropic
In this episode of the Latent Space Podcast, Erik Schluntz from Anthropic discusses his work on SWE-Bench, a benchmark designed to evaluate coding agents, as well as the evolving landscape of AI agents. He explains Anthropic's strategy for developing effective coding agents, highlighting the value of simple frameworks,...

[Paper Club] BERT: Bidirectional Encoder Representations from Transformers

[Paper Club] DocETL: Agentic Query Rewriting + Eval for Complex Document Processing w Shreya Shankar

Why Compound AI + Open Source will beat Closed AI — with Lin Qiao, CEO of Fireworks AI

Agents @ Work: Lindy.ai (with live demo!)

Agents @ Work: Dust.tt — with Stanislas Polu
In this podcast, Stan Polu, the founder of Dust, shares his journey from working at Stripe and OpenAI to creating Dust, a platform that helps companies integrate AI agents into their teams. He reflects on his time at OpenAI, where he focused on math and AI under the guidance of Ilya Sutskever, emphasizing the critical ...

[Paper Club] Intro to Diffusion Models and OpenAI sCM: Simple, Stable, Scalable Consistency Models

In the Arena: How LMSys changed LLM Benchmarking Forever

[Paper Club] Upcycling Large Language Models into Mixture of Experts

How NotebookLM Was Made
In this podcast episode, Raiza Martin and Usama Shafqat share the fascinating journey of the NotebookLM project. They discuss how it evolved from its early days at Google's AI Test Kitchen into a powerful tool shaped by community input and user feedback. The conversation covers a range of topics, including innovative A...

Singapore: the AI Engineer Nation — with Minister Josephine Teo

[Paper Club] SWE-Bench [OpenAI Verified/Multimodal] + MLE-Bench with Jesse Hu

Building the Silicon Brain - Drew Houston of Dropbox

[Paper Club] Molmo + Pixmo + Whisper 3 Turbo - with Vibhu Sapra, Nathan Lambert, Amgadoz

Production AI Engineering starts with Evals
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