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
Daytona CEO Ivan Burazin explains their pivot from human developer environments to 'composable computers' for AI agents, revealing how bare-metal, stateful infrastructure (not ephemeral VMs) unlocked 74% month-over-month growth and massive enterprise demand.
Jake Cooper, founder of Railway, explains how the 'agent-native cloud' hit 3 million users and 100,000 weekly signups by betting that manual coding is obsolete, detailing their journey from a $500K/month free tier loss to bare metal infrastructure ownership.
Yaroslav Azhnyuk, former pet-tech founder turned defense entrepreneur, explains how The Fourth Law is building AI-powered autonomous drones to defend Ukraine, arguing that software-defined warfare and mass manufacturing scale have fundamentally rewritten the rules of military power.
Abridge is transforming from an AI documentation tool into a comprehensive clinical intelligence layer that uses ambient listening and deep EHR integration to deliver proactive decision support, aiming to eliminate physician burnout while catching critical clinical and administrative issues before the patient leaves the room.
Physicist Alex Lubyansky discusses how GPT-5 and reasoning models like o3 have achieved superhuman capabilities in theoretical physics, solving the year-long mystery of single minus gluon tree amplitudes and reproducing complex research in minutes rather than months.
Applied Intuition is building the unified 'Android for physical machines' to solve OS fragmentation across vehicles and industrial equipment, enabling modern AI deployment through simulation tools, proprietary operating systems, and end-to-end autonomy models with a 1,000-engineer team.
Shopify CTO Mikhail Parakhin reveals that AI agents have achieved nearly 100% daily adoption among developers, driving a 30% month-over-month surge in PR merges that is breaking traditional CI/CD pipelines, and argues that organizations must shift from parallel token-burning agents to high-latency, critique-loop architectures using expensive pro-level models for code review.
Noetik is tackling the 95% failure rate of cancer clinical trials by training transformers on proprietary multimodal patient tumor data to identify hidden biological subtypes and match therapies to responsive populations, moving beyond simplistic biomarkers and outdated cell lines.
Notion's AI leads Sarah Sachs and Simon Last detail their three-year journey to launch custom agents, revealing how they navigated premature model capabilities, built a culture of radical iteration, and balance immediate utility with forward-looking bets on software factories and MCP integration.
The Stay SaaSy crew explains how AI consumption-based pricing is forcing companies to manage individual employee token budgets like departmental budgets, creating complex ROI calculations and flipping traditional build-vs-buy economics as engineering costs shift from headcount to compute.
Ryan Lopopolo reveals how OpenAI's Frontier team built a 'Dark Factory' processing 1 billion tokens daily, generating over 1 million lines of code from zero human-written code in 5 months. By treating human attention as the only scarce resource and enforcing strict constraints like sub-minute builds, the team shifted from manual coding to autonomous agents that write, review, and merge their own code.
Marc Andreessen frames artificial intelligence as an '80-year overnight success,' arguing that while the field has cycled through boom-bust periods since 1943, the current convergence of LLMs, reasoning models, agents, and recursive self-improvement represents a permanent inflection point where the technology finally 'works' at scale, justifying the view that 'this time is different' for builders and investors.