SF Compute: Commoditizing Compute
The podcast discusses the business strategies and market dynamics of GPU cloud providers, focusing on CoreWeave's success with long-term contracts and SF Compute's innovative marketplace approach.
How Claude 3.7 Plays Pokémon
The discussion focuses on using AI models, specifically Claude from Anthropic, to play Pokemon Red, exploring its capabilities and limitations in navigating and understanding the game.
Open Operator, Serverless Browsers and the Future of Computer-Using Agents
The podcast discusses BrowserBase, a company providing headless browser infrastructure for AI applications, highlighting its challenges and innovations.
The Inventors of Deep Research
Deep Research is an AI-powered tool that acts as a personal research assistant, providing comprehensive reports on complex topics by browsing the web and synthesizing information.
Bee AI: The Wearable Ambient Agent
The podcast discusses the rise and challenges of AI wearables, focusing on BII's innovative device, "B," which offers advanced personal AI capabilities.
Outlasting Noam Shazeer, crowdsourcing Chat + AI with >1.4m DAU, and becoming the "Western DeepSeek" — with William Beauchamp, Chai Research
Chai Research, a consumer AI company, has grown significantly by focusing on user-generated content and optimizing AI models for engagement.
Everything you need to run Mission Critical Inference (ft. DeepSeek v3 + SGLang)
DeepSeek V3, a 671 billion parameter model, is the largest open weights model, offering advanced AI capabilities and setting new benchmarks in AI performance.
[Ride Home] Simon Willison: Things we learned about LLMs in 2024
The discussion focuses on the advancements and challenges in AI, particularly in 2025, highlighting the efficiency and cost reduction in AI models, the potential of AI agents, and the need for better criticism and regulation.
Beating Google at Search with Neural PageRank and $5M of H200s — with Will Bryk of Exa.ai
The podcast discusses ExaAI's innovative approach to search engines, aiming to surpass traditional models like Google by leveraging AI and LLMs for more accurate and comprehensive search results.
AI Engineering for Art — with comfyanonymous, of ComfyUI
The podcast discusses the evolution of image diffusion tools, highlighting the transition from Automatic1111 to Comfy UI, and the impact of open-source development on the ecosystem.
Latent.Space 2024 Year in Review
The podcast reflects on the growth of AI engineering, the evolution of AI models, and the future of AI capabilities, emphasizing the importance of research and production integration.
2024 in Agents [LS Live! @ NeurIPS 2024]
The video discusses advancements and challenges in AI agents, focusing on their applications, development, and future potential.
2024 in Synthetic Data and Smol Models [LS Live @ NeurIPS]
The discussion focuses on the advancements and applications of synthetic data and small models in AI, highlighting their growing importance and efficiency.
2024 in Post-Transformers Architectures (State Space Models, RWKV) [LS Live @ NeurIPS]
The conference discusses advancements in AI architectures, focusing on alternatives to transformers and efficient computation methods.
2024 in Open Models [LS Live @ NeurIPS]
The conference at NeurIPS 2024 highlighted the rapid growth and challenges of open AI models, emphasizing collaboration and innovation.
2024 in Vision [LS Live @ NeurIPS]
The Latent Space Live conference at NeurIPS 2024 highlighted advancements in computer vision, emphasizing the transition to video models and the rise of new object detection methods.
The State of AI Startups [LS Live @ NeurIPS]
The Latent Space Live conference at NeurIPS 2024 discussed the evolving landscape of AI startups, highlighting key trends and opportunities for innovation.