Follow AI Builders — Not Influencers
Here, we measure success by the fraction of the “performance gap” we can close between the weak model and the potential of the strong model. After 7 days, human researchers closed it by 23%. Then, our Automated Alignment Researchers—Opus 4.6 with extra tools—closed it by 97%.To test the broader usefulness of the AARs’ methods, we assessed how well they worked on two datasets the AARs hadn’t seen before. The AARs’ best-performing method successfully generalized to both coding and math tasks, though their second-best method only generalized to math.
Yep. All use cases. Zero reason for a cowork like interface separate from Claude code. - List of agents / tasks - Agent - Thing being created
I am more and more convinced that this is the future of software development UI. @cursor_ai is the closest in my opinion A list of work you're working on parallel, the agent in the middle, and most importantly, the thing you're building on the right. Because you want to see what
RT Brace ☁️ Salesforce tools now in Fleet One of the most requested features we've gotten, and it's now a first-class supported tool in Fleet! Just sign in with your Salesforce account, and start using it immediately in your agents: http://smith.langchain.com/agents Original tweet: https://x.com/BraceSproul/status/2044112213296967838
Building agents locally does not mean they’re ready to deploy in production LangSmith deployments helps with that
🔐 One deployment, isolated data per user. Add custom auth so every user gets their own scoped threads, runs, and conversation history — with per-user data isolation and role-based access using any auth provider. Full walkthrough: https://youtu.be/DkNqgCz8cjE Docs:
RT Viv Open Harness 🤝 Deployed Agents if you wanna use Claude, GLM5, and Codex in your deployed harness then you should be able to! deepagents deploy has easy configs to let users customize their harness and deploy (redeploy) asap more coming on subagents (my fave upcoming thing for task decomposition) Original tweet: https://x.com/Vtrivedy10/status/2044100301792120989
ICYMI -- last week we released `deepagents deploy`, the fastest way to take a highly capable, long running agent to production. agents are becoming more and more standardized, and we're betting on this open standard for agent config! user memory and subagents coming soon!
RT Sydney Runkle this is a fundamental building block for `deepagents deploy` we're designing a memory layer built for multi-tenant systems, so memory can be scoped to a user, agent, or organization please dm me if this resonates and you have a use case! Original tweet: https://x.com/sydneyrunkle/status/2044099832319500484
🔐 One deployment, isolated data per user. Add custom auth so every user gets their own scoped threads, runs, and conversation history — with per-user data isolation and role-based access using any auth provider. Full walkthrough: https://youtu.be/DkNqgCz8cjE Docs:
RT LangChain 🔐 One deployment, isolated data per user. Add custom auth so every user gets their own scoped threads, runs, and conversation history — with per-user data isolation and role-based access using any auth provider. Full walkthrough: https://youtu.be/DkNqgCz8cjE Docs: https://docs.langchain.com/langsmith/set-up-custom-auth Original tweet: https://x.com/LangChain/status/2044098386270310783