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
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hidden biological subtypes and match therapies to responsive populations, moving beyond simplistic biomarkers and outdated cell lines.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.
Moonlake founders Fan-yun Sun and Chris Manning argue that true world models require action-conditioned symbolic reasoning about physics and consequences, not just pixel prediction, enabling spatial intelligence with orders of magnitude less data than pure scaling approaches.
Sam D'Amico, former Meta and Apple hardware engineer, demonstrates the Impulse Cooktop, a high-performance induction stove featuring a built-in 3kWh lithium iron phosphate battery that delivers 10,000 watts per burner and boils water in 40 seconds, while functioning as distributed grid storage.
Mistral releases Voxtral TTS, a 3B parameter open-weights speech generation model using a novel auto-regressive flow matching architecture that delivers state-of-the-art performance at a fraction of competitors' costs while enabling enterprises to leverage proprietary domain data.
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.