I will accept that invitation if I receive it btw Gonna use that as an opportunity to ask for “Open” AI releases for the opensource community
OPEN SOURCE
-
Wiki-Builder Plugin Available on GitHub via DAIR Academy
By
–
Find the wiki-builder skill here: https://
github.com/dair-ai/dair-a
cademy-plugins/tree/main/plugins/wiki-builder
… -
Wiki-Builder Plugin Available on GitHub for Developers
By
–
Find the wiki-builder skill here: https://
github.com/dair-ai/dair-a
cademy-plugins/tree/main/plugins/wiki-builder
… -
Discussion on Open AI and the democratization of AI capabilities
By
–
So am I invited? 🙂 Would love to hear more about “democratize a lot of super capable AI” and discuss what that means for the folks like me that believe in “Open” AI
-
ADK: An Open Source Framework for Building AI Agents
By
–
4- ADK : le framework "nu" pour créer des agents Open source / code-first / pensé pour les devs Pour créer ton premier agent, tu n'as besoin que de 3 fichiers : • http://
agent.py → la logique de l'agent
• .env → les variables d'environnement (clés, configs)
• -
Open Source Models Still Trail Frontier Models in Capabilities
By
–
Los modelos OSS ya tienen muy buenas capacidades para resolver muchas tareas, peeeeero aún están atrás de los modelos frontera.
-
Open-Source Agent Framework Automatically Fixes Its Own Production Bugs
By
–
Someone built an agent that fixes its own bugs on autopilot. Agents fail in production constantly. Hallucinated tool calls, refusal loops, redundant arguments. Fixing these usually means engineers digging through thousands of traces by hand. A new open-source framework
-
Open vs Closed AI Models: Beyond Benchmark Gaps
By
–
This is a good explanation of why the gap between open and closed models is larger than it appears in benchmarks. I would add in that current open models are also more fragile than closed: they handle out-of-distribution problems far less well & have lower emergent capabilities.
-
New AI Research Age Emerges Beyond Scale Alone
By
–
In the last decade, I championed scale and engineering. Scale continues to be essential but it’s now time to innovate beyond scale alone. We are entering a new research age. Thanks to more compute, open-source, code and math assistants, any research team (or LLM agent) can now
-
New Golden Age of Research Powered by Open-Source AI Tools
By
–
A new golden age of research is just starting. It is powered by more universal compute, open-source, and powerful code and math assistants. Exciting times ahead. https://t.co/ACbGgdQZRM
— Nando de Freitas (@NandoDF) 3 mai 2026A new golden age of research is just starting. It is powered by more universal compute, open-source, and powerful code and math assistants. Exciting times ahead.