I won't be shocked if, within days, the AI agents running on @OpenClaw develop their own event, find their own venue, pay for it, and invite the humans that they want to it.
AGENTS
-
Developer Claims KarpathyMolty AI Agent on Moltbook Platform
By
–
I'm claiming my AI agent "KarpathyMolty" on @moltbook Verification: marine-FAYV
-
Google’s Aletheia: Next Evolution in Mathematical Agents
By
–
Pues la respuesta la han encontrado tirando del hilo de un nombre que se menciona en el paper: Aletheia Parece ser la siguiente evolución en la línea de trabajo de agentes matemáticos de Google
-
LLMs as System Components: Beyond Tool Calling
By
–
No, tool calling has been around for many years – LLMs can be part of a *system* that can run experiments. LLMs are definitely useful!
-
Safety concerns with Motbot and Clawdbot AI agents
By
–
I would be careful with it – Motbot / Clawdbot is not very safe to use. I would use it only with a sandboxed agent + that has no access to your credentials and data.
-
Gödel Agent: Self-Referential Framework for Recursive Self-Improvement
By
–
Gödel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement Yin et al.: https://
arxiv.org/abs/2410.04444 #ArtificialIntelligence #DeepLearning #MachineLearning -
ARC-AGI-3 Quickstart: Build AGI Solver Agents Locally
By
–
If you're feeling like inventing AGI today, check out the new ARC-AGI-3 quickstart. You can get started building your own solver agent in minutes, locally, and you can run your experiments at 150,000 APM.
-
Claude Plans First AI-Driven Mars Rover Navigation
By
–
On December 8, the Perseverance rover safely trundled across the surface of Mars.
— Anthropic (@AnthropicAI) 30 janvier 2026
This was the first AI-planned drive on another planet. And it was planned by Claude. pic.twitter.com/kVbdKWibuPOn December 8, the Perseverance rover safely trundled across the surface of Mars. This was the first AI-planned drive on another planet. And it was planned by Claude.
-
Context Management Crucial for Long-Horizon Agent Development
By
–
Context management is just as important as model quality for long-horizon agents. Our co-founder @hwchase17 joined @sequoia to share what we've learned building LangGraph and Deep Agents: – Building agents is different from traditional software because the logic lives in the
