Oct 9, 2026
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a quiet day.
Oct 8, 2026
A special Science pod and Engineering pod crossover.. with Forward Deployed Engineering kicker!
yay small models
Kubernetes co-creators Craig McLuckie and Joe Beda aim to bring agent harnesses fully into the cloud.
Oct 7, 2026
Our head hurts.
Oct 6, 2026
A small win for US open source
Oct 5, 2026
Oct 3, 2026
After leading Meta’s Llama models, Ahmad Al-Dahle is now transforming Airbnb with AI — from how its teams develop products to how it serves guests.
Oct 2, 2026
the minimalist harness goes stable... and TypeScript!
Oct 1, 2026
We catch up with RLM first author Alex Zhang, MIT PhD, on Jev, PhD masxing, and the future of harnesses.
... but you can’t try it yet unless you are “government users and trusted cyber defenders in the Fairwind Program”
Sep 30, 2026
Our DevDay coverage - the first pod on the DevDay lineup - dives in with the leaders of OpenAI’s CUA team and API platform.
the most confident DevDay yet.
Sep 29, 2026
Congrats team!
Sep 28, 2026
a rare feature of a capability
Shipping Opus/Sonnet 5.5, Mods, Plugins, Projects, Tag while Pacing the Frontier
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.
Sep 25, 2026
A quiet day lets us discuss the work behind the scenes - now open for business!
Sep 24, 2026
GWM Worlds 2 uses persistent context and timed actions to steer a world model generating video and audio in real time.
Guest Post: In science, thinking has gotten cheap but doing has not. This asymmetry is reshaping how research companies operate, largely inconspicuously.
Team Zuck is absolutely on fire.
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.
Sep 23, 2026
overshadowing more efficient GPT6 models from OpenAI
Sep 22, 2026
We talked to Google’s Oscar winning “Giganerd” about automating science, solving climate change, and how future generations can contribute to science in the age of superintelligent AI