I know it can be dangerous but I love the idea of running many agents in a multi-player environment. Unsupervised. It's quite exciting to see what happens.
I feel morally obligated to deliver as many antidotes to despair and cynicism as possible. The odds of p(bloom) are so overwhelmingly high. Can't lose good people to the black pill.
@beffjezos Came in a bit late with my question but would appreciate an answer anyway: What are your thoughts on Europe's future in AI? And what would you do as an individual in Europe?
Introducing Kimi K3.1 Pro: our most capable 3T-class open-weight model.
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Open weights by Nov 4, 2026.
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@miaferrariii Actually have a setup like this in our startup.
Codex runs on a server. Claude uses an SSH key to connect to it and prompt it in headless mode.
Smaller & specialized models are becoming dramatically more capable and new approaches to continual learning are enabling AI systems to improve from real-world experience after deployment. Jonathan Bryce, Executive Director of Cloud & Infrastructure at @linuxfoundation@CloudNativeFdn shares about how we're moving from bigger models to better systems during @AgenticAIFdn #AGNTCon + #MCPCon keynote.
The future of AI will depend not on any single model, but on an open set of technologies for building, optimizing, serving and continuously improving intelligence. The @PyTorch Foundation in bringing those technologies together, creating an open foundation that gives developers the freedom to build with any model, on any chip and across any cloud.
People are in denial.
They literally think they will wake up tomorrow and all the AI-generated code will somehow be useless, and we'll go back to typing code by hand like Neanderthals.
New Video: Databricks Crash Course (Sponsored)
We cover going from CSV files to deployed models. Spark Preprocessing, MLflow Tracking, Model Registry, Delta Tables & Model Serving.
A must-know if you want to go into MLOPs.
https://t.co/MYOibLsRM4