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
MIT professor Heather Kulik explains how AI discovered quantum phenomena to create 4x tougher polymers and why materials science lacks an 'AlphaFold' equivalent due to missing experimental datasets, emphasizing that domain expertise remains essential to validate AI predictions in chemistry.
David Singleton introduces Dreamer as an 'Agent OS' that combines a personal AI Sidekick with a marketplace of tools and agents, enabling both non-technical users and engineers to build, customize, and deploy AI applications through natural language while maintaining privacy through centralized, OS-level architecture.
Anthropic's Felix Rieseberg explains why AI agents need their own virtual computers to be effective, arguing that confining Claude to chat interfaces severely limits capability. He details how this philosophy shaped Claude Cowork and why product development is shifting from lengthy planning to rapidly building multiple prototypes simultaneously.
Samuel Colvin from Pydantic introduces Monty, a Rust-based Python interpreter designed specifically for AI agents that achieves sub-microsecond execution latency by running in-process, bridging the gap between rigid tool calling and heavy containerized sandboxes.
NVIDIA engineers discuss securing AI agents through the 'two of three' capability rule, the evolution of Brev from startup to NVIDIA's developer experience layer, and how DGX Spark bridges local and cloud GPU workflows for a broader developer audience.
Cursor launched Cloud Agents that provide AI models with full virtual machine access to autonomously write, test, and demonstrate code through video recordings, shifting from simple code generation to end-to-end software engineering workflows.
Box CEO Aaron Levie argues that enterprises face a fundamental infrastructure shift as AI agents proliferate 10-100x beyond human employees, requiring secure 'boxes'—governed data containers with distinct identities and permissions—to prevent data leaks and manage liability in autonomous workflows.
Pulsia, an AI platform founded by Ben, reached $1M ARR in one month by acting as an autonomous 'AI CEO' that builds and operates companies overnight—handling coding, marketing, sales, and strategy while sending users daily morning briefings. The platform currently manages over 1,000 concurrent businesses, demonstrating a shift from AI as a tool to AI as a full-stack operator.
METR (Model Evaluation and Threat Research) tracks AI capabilities using a 'time horizon' framework, revealing remarkably consistent exponential growth in task difficulty that models can solve, while noting recent jumps like Claude Opus 4.5 and the critical distinction between human-equivalent task difficulty and actual autonomous runtime.
Dylan Patel discusses AI geopolitics and semiconductor strategy while cooking fried rice, explaining why the U.S.-China tech war creates complex tradeoffs between talent retention and national security in the race for AI dominance.
Max Welling traces his career from quantum gravity to founding CuspAI, explaining how physics underpins modern AI architectures and why the field of AI for science is attracting billions in investment to solve foundational materials problems—from carbon capture to next-generation GPUs—by treating nature as a computational "Physics Processing Unit."
Doug O'Laughlin describes Claude Code as a capable but imperfect 'junior analyst' that amplifies expert productivity rather than replacing human judgment, while recounting his journey from value investing to semiconductor analysis through his early conviction that Moore's Law was ending.