Follow AI Builders — Not Influencers
Discover real AI creators shaping the future. Track their latest blogs, X posts, YouTube videos, WeChat Official Account posts, and GitHub commits — all in one place.
Create, manage, and share skills in langsmith fleet You can use them in your fleet agents… or download them locally to use in your coding agents!!
Fleet now has shareable skills. Capture your team's domain knowledge once, attach it to any agent, and share it across your workspace. Create skills from a prompt or previous chat, write them manually, or use a template. Read more: https://blog.langchain.com/skills-in-langsmith-fleet/?utm_medium=social&utm_source=twitter&utm_campaign=q1-2026_fleet-launch_aw
View quoted postActivity on rasbt/LLMs-from-scratch
rasbt closed an issue in LLMs-from-scratch
rasbt closed an issue in LLMs-from-scratch
View on GitHubActivity on rasbt/LLMs-from-scratch
rasbt commented on an issue in LLMs-from-scratch
rasbt commented on an issue in LLMs-from-scratch
View on GitHub
RT LangChain Fleet now has shareable skills. Capture your team's domain knowledge once, attach it to any agent, and share it across your workspace. Create skills from a prompt or previous chat, write them manually, or use a template. Read more: https://blog.langchain.com/skills-in-langsmith-fleet/?utm_medium=social&utm_source=twitter&utm_campaign=q1-2026_fleet-launch_aw Original tweet: https://x.com/LangChain/status/2036858148850671903
LiteLLM Hack: Were You One of the 47,000?
LiteLLM Hack: Were You One of the 47,000? Daniel Hnyk used the BigQuery PyPI dataset to determine how many downloads there were of the exploited LiteLLM packages during the 46 minute period they were live on PyPI. They also identified 2,337 packages that depended on LiteLLM - 88% of which did not pin versions in a way that would have avoided the exploited version. Via @hnykda Tags: packaging, pypi, python, security, supply-chain
The more AI can do, the more we need to ask what it should and shouldn’t do. OpenAI researcher @w01fe joins host @AndrewMayne to explore the Model Spec, the public framework that defines how models are intended to behave. They break down how it works in practice, from the chain of command that resolves conflicting instructions to the way it evolves over time through real-world use, feedback, and new model capabilities.Listen to the OpenAI Podcast on— Spotify https://open.spotify.com/show/0zojMEDizKMh3aTxnGLENP Apple https://podcasts.apple.com/us/podcast/openai-podcast/id1820330260 YouTube https://youtu.be/H8GMRxG8suw
Committed to simonw/bandwidther
simonw commented on commit simonw/bandwidther@efe163ec2f
simonw commented on commit simonw/bandwidther@efe163ec2f
View on GitHubthis site feels like a sci fi theme park ride
Time's up. The new Sazabi website, codenamed "Midnight", is live now. 🔗 Don’t miss it: https://www.sazabi.com
View quoted post