We pride ourselves in remaining open source.
That also means teaching our community. This is exactly how we optimized FLUX.1 Kontext from Black Forest Labs:
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How Black Forest Labs Optimized FLUX.1 Kontext Model
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Grok 4.20 Coming Soon With Better Coding and Multimodal Capabilities
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Mise à jour : GROK 4.20 arrive bientôt…Il sera bien meilleur en programmation, ainsi qu’en compréhension d’images et de vidéos… Elon Musk : "GROK 4.20… est inévitable !"
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Codex Demo: Voice-Controlled Coding Agent Live Demo
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I even did a short live demo of Codex, using just my voice to assign a task to our coding agent and watch it prepare code changes on its own! The episode (in French) is out now:
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Master AI Agents: 11 Best Online Courses for Beginners
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The 11 Best Online Courses To Master AI Agents #AIagents represent the next major wave of #digitaltransformation, capable of performing complex, multi-step tasks with minimal human intervention. The best part is that anyone can #learn to #build them using simple, no-code
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LangChain Academy Live Workshop in San Francisco August 19th
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Join us in San Francisco for LangChain Academy Live! Join LangChain Academy Instructor Lance Martin and fellow learners for an in-person workshop on August 19th at 4pm. We’ll walk through the Ambient Agents course, build an email agent together, answer your questions
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PyTorch Integrates Muon Optimizer Into Core
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considering Muon is so popular and validated at scale, we've just decided to welcome a PR for it in PyTorch core by default.
If anyone wants to take a crack at it… https://
github.com/pytorch/pytorc
h/issues/148819#issuecomment-3070108227
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Python and C++ for Robot Performance Optimization
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yes! i almost exclusively use python – though I've wanted to get better at C++ for a while (it comes in handy when attempting to speed up things deployed on the robot!)
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Kimi K2 Open-Source Model Excels at Coding Tasks
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Now on Poe: Kimi K2! Kimi K2 ranks as a top open-source model (SWE-bench Verified at 65.8%), excelling at coding and solving technical problems. (1/2)
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Sequential Thinking MCP Release Demystifies AI Agent Systems
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I am very happy with this release, I think it will demystify a lot about how these types of systems work. The Sequential Thinking MCP was huge for the space (literally any famous coding agent uses it), and I hope people can build on top of this as well.
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Scaling Parallel AI Agents Beyond Grok Heavy Limits
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In Grok Heavy, you are limited to a maximum of 4 agents. Here, you can run as many agents in parallel as you want (of course, it would get expensive and you may run into context length limitations on certain models). All you have to do is change the config file. In the config,