@whosamberella: I didn't touch TouchDesigner myself. Hermes agent learned it from scratch and built this: → navigated my desktop with c…
Summary
A tweet describes how the Hermes AI agent, powered by MiniMax AI M3, autonomously learned to use TouchDesigner by navigating the desktop, reading reference images, and iterating on art in a self-learning loop, saving the skill for reuse.
Similar Articles
Can an AI agent complete a task and still fail?
This paper introduces the concept of 'Verifier Tax' to categorize AI agent outcomes as safe success, unsafe success, or failure, and proposes a two-tier verification architecture for tool-using LLM agents.
@Xudong07452910: Open-source Tool Recommendation: Hivemind — Give All AI Coding Agents a Shared Brain, Automatically Extract Skills from Real Trajectories Anyone using several AI Coding Agents has likely experienced this: each tool's learning is locked in its own context, switching tools means…
Hivemind is an open-source tool that allows multiple AI Coding Agents (e.g., Claude Code, Codex, Cursor) to share a memory layer, automatically mining high-quality patterns from usage trajectories and converting them into reusable skill files, enabling cross-tool and cross-team skill propagation, significantly reducing token consumption and interaction rounds.
@FakeMaidenMaker: YouTube Codex - The Ultimate Cognition Course Just Released. Author Nate B Jones (Editor of AI Strategy Daily, a heavy user burning 500 million tokens a day) explains Codex thoroughly in 20 minutes, automating all computer work with practical examples. Chapters: 00:00 …
Nate B Jones released a 20-minute Codex cognition course explaining how to use Codex to fully automate computer work, covering practical content such as token management, sub-agents, and computer use.
@CopyRebeldia: Your backend now has a mouth. An open-source platform came out where your AI agent connects via MCP, finds the error, a…
Se lanzó Maple, una plataforma open source donde un agente de IA se conecta mediante MCP para encontrar errores y proponer soluciones en el backend.
@MSFTResearch: Project Ire examined a timely malware sample and determined its intent through reverse engineering—identifying LOTUSLIT…
Microsoft's Project Ire, an autonomous malware-classification agent, successfully identified a LOTUSLITE variant that evaded major EDR tools through behavioral reverse engineering without relying on IOC signatures.