By
–
R Neural Networks! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode geni.us/R-Neural-Networks
→ View original post on X — @gp_pulipaka, 2026-04-12 04:26 UTC
By
–
The Formula! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
lnkd.in/gnp_a8mm
By
–
Bonne idée ! Mon laptop principal est sous Linux depuis toujours.
By
–
Production-grade engineering skills for AI coding agents with Google's best practices. 20 skills. 7 slash commands. Spec before code. Test before merge. Measure before optimize. Works with Claude Code, Cursor, Gemini CLI and more. 100% Opensource.
By
–
Grateful Minimax M2.7 weights are out, but their 6hr-before-release license edit makes the model nearly unusable. A lame non-commercial limitation so broadly defined that you're essentially only allowed to use it for projects given out for free, else need to be granted permission from @MiniMax_AI. MiniMax (official) (@MiniMax_AI) We're delighted to announce that MiniMax M2.7 is now officially open source. With SOTA performance in SWE-Pro (56.22%) and Terminal Bench 2 (57.0%). You can find it on Hugging Face now. Enjoy!🤗 huggingface：huggingface.co/MiniMaxAI/Min… Blog: minimax.io/news/minimax-m27-… MiniMax API: platform.minimax.io/ — https://nitter.net/MiniMax_AI/status/2043132047397659000#m
→ View original post on X — @scobleizer, 2026-04-12 02:44 UTC
By
–
We added some fixes for the new MiniMax and Ollama in this release as well – just hearing far fewer complains there so didn’t mention these. Check the changelog if you’re curious – we wanna be a great harness for *any* model!
By
–
It’s a one-liner in code – I need folks testing this and posting reports if that helps, before we change defaults or enable it for everyone. Please do and report back!
By
–
not for this. if you wanted to roll your own harness, could build one on top of langchain and then use langsmith deploy for roughly the same experience. this is just packaged up more nicely
By
–
Harnesses can now been plugins – meaning it'd be trivial to replace the default Pi harness with e.g. Anthropic’s SDK or another custom one. This won't magically allow Claude subscription, but it's useful to compare different implementations. Using codex as harness will likely
By
–
2) Native Codex as the OpenClaw harness: plugins.entries.codex.enabled = true
agents.defaults.model = "codex/gpt-5.4"
agents.defaults.embeddedHarness = { runtime: "codex", fallback: "none" } Codex owns threads, resume, compaction, app-server execution. https://
docs.openclaw.ai/plugins/codex-
harness
…