Latent Space
Reporting and perspectives from Latent Space. Headlines and excerpts link to the original articles.
Latest stories
Newest firstClaude Code’s Next Era — Thariq Shihipar, Anthropic
Shipping Opus/Sonnet 5.5, Mods, Plugins, Projects, Tag while Pacing the Frontier
OpenRouter: from Seed to Stripe — with OpenRouter’s Alex Atallah & AMP’s Anjney Midha
In 2023 most people doubted that there could be more than 1 or 2 frontier model labs. Now there are dozens.... and Stripe just bought the best known one for $7B.
[AINews] The Future of Latent Space
A quiet day lets us discuss the work behind the scenes - now open for business!
Runway’s WorldPrompt and the Engineering of Real-Time Worlds
GWM Worlds 2 uses persistent context and timed actions to steer a world model generating video and audio in real time.
Foundries vs Navigators: Lowering the Cost of Science
Guest Post: In science, thinking has gotten cheap but doing has not. This asymmetry is reshaping how research companies operate, largely inconspicuously.
[AINews] Meta Connect 2026: Muse glasses, voice, video, and Charm
At Meta Connect 2026, Meta presented Muse, its personal agent, as the center of a hardware-plus-agent strategy, shipping agent features and new glasses while teasing but not releasing a new frontier model.
🔬Bio-security is an AI Arms Race - Eric Nguyen (CEO, Radical Numerics)
Radical Numerics is using biological chain-of-thought and multimodal perception to keep up with the bio-defense arms race, design new genomes and gain insights into biology itself.
[AINews] Claude Opus 5.5, the new default model for AINews — and everybody cuts prices 40-50%
overshadowing more efficient GPT6 models from OpenAI
🔬 An Oscar, Two Asteroids, and the Algorithm in Your sklearn: John Platt on AI for Science
A Latent Space podcast episode features John Platt discussing Google's Empirical Research Assistance (ERA), an LLM-driven system for automating scoreable scientific tasks that has contributed to at least ten papers, plus AI work on contrails and climate.
[AINews] Xiaomi MiMo-V2.6-Pro 1T-A42B: the new top Open Weights model, trained for $3M
crowning a new Chinese frontier lab
Jev: System One models for Prod, not God — with Diogo Almeida, CEO, TypeSafe AI
Diogo Almeida, CEO of TypeSafe AI, discussed the launch of Jev, a "System One" model optimized for intelligence per dollar, on the Latent Space podcast. Almeida described Jev's core innovation, Reinforcement Learning for Calibrated Decisions, and argued against RLHF and RLVR as training paradigms.
[AINews] Here are 6 Clones of Jev in 2 days
Six reproductions and clones of the non-open-source Jev decision model appeared within two days of its launch, which drew 36M views on its launch video. The clones use methods including ModernBERT encoders, diffusion models, LoRA fine-tunes of Qwen3.5-9B and Qwen2.5-0.5B, and a 4B/35B Qwen3.5 backbone with an NLI classifier.
[AINews] Reality Checks on AI News (Yegge shuts down Gas Town, Databricks’ +60% Astra cost)
Steve Yegge shut down Gas Town and said that despite spending thousands monthly on coding agent subscriptions, Gas Town was the only thing he built with it. Databricks reported a roughly 60% increase in overall coding spend after its AI engineers switched to Astra.
Underwriting Superintelligence: Backing Agents you can Sue — Rune Kvist, AIUC
AIUC, the Artificial Intelligence Underwriting Company, announced a $40 million Series A led by Ribbit Capital and First Harmonic. Cofounder Rune Kvist said the company works with Cursor, Harvey, Lovable and ElevenLabs on AIUC-1, its standard for AI agent security, safety and reliability.
Can Skills Learned in Games Transfer to Real-World Work?
Good Start Labs trained an AI on a railroad game — and one version improved at financial research. The difference was the training design.