Claude Opus 4.6 is Anthropic’s most advanced model for professional work and long-running agents. It comes with big gains in reasoning, long-context, tool use, vision and coding. You can try it in Poe app on all platforms and in the Poe API at https://
poe.com/Claude-Opus-4.6
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Claude Opus 4.6 Advanced AI Model Released by Anthropic
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DeepSeek in Practice: Technical Guide to Open Source LLMs
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"DeepSeek in Practice: From basics to fine-tuning, distillation, agent design, and prompt engineering of open source LLM" via @PacktDataML at http://
amzn.to/4imbryH Discover DeepSeek's unique traits in the LLM landscape
Compare DeepSeek's multimodal features with leading -
Hugging Face Community Evals: Benchmarking AI Models Collaboratively
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Read the blog: https://
huggingface.co/blog/community
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Developer Pain Points: What Are We Missing in Tech
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dev to dev: what pain points are you feeling that people aren’t talking about enough? one dev's take:
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Understanding Deep Learning — 541‑page eBook and Code Notebooks
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Understanding Deep Learning — 541-page PDF eBook and 68 coding exercises with Python code notebooks that cover all the topics in the book: http://
udlbook.github.io/udlbook/ …or buy the book here: http://
amzn.to/4qwof9k -

Architecting AI Software Systems: Designing Scalable AI Integration
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"Architecting AI Software Systems: Crafting robust and scalable AI systems for modern software development" at http://
amzn.to/4oMi9Ag v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Learn to integrate AI with traditional software architectures, enabling architects to design -

Practical Machine Learning for Streaming Data with Python
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#MachineLearning for Streaming Data with #Python — build practical online Machine Learning solutions: http://
amzn.to/40ztysN v/ @PacktDataML ————
#DataScience #ML #AI #StreamAnalytics #EdgeComputing #Edge #EdgeAI #TimeSeries #IoT #IIoT #DataScientist #AnomalyDetection -

From March 2025 to Feb 2026: AI writes all code
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Devs, march 2025: Amodei is insane, no way AI writes all our code next year
Devs, feb 2026: -

Voxtral Mini 4B Realtime: Fast Streaming ASR with vLLM Support
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Congrats to @MistralAI on releasing Voxtral Mini 4B Realtime! 🎉 Day-0 support in vLLM! A 4B streaming ASR model achieving <500ms latency while matching offline model accuracy, supporting 13 languages. vLLM's new Realtime API `/v1/realtime` provides audio streaming – optimized for voice assistants, live subtitles, and meeting transcription! Thanks to the close collaboration between the vLLM community and @MistralAI for making this production-grade support possible 🤝 📑Model & Usage: huggingface.co/mistralai/Vox… Mistral AI (@MistralAI) Voxtral Realtime is built for voice agents and live applications. Its natively streaming architecture delivers latency configurable to sub-200ms. And at 480ms, it stays within 1-2% WER of our offline model. We release the model as open weights under Apache 2.0. — https://nitter.net/MistralAI/status/2019068828257333466#m
→ View original post on X — @guillaumelample, 2026-02-04 17:51 UTC
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Yocto BSP Layer Enables Custom Linux for Axelera Metis Accelerators
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Building custom embedded Linux images with Yocto? There's now an official BSP layer for Axelera Metis hardware. meta-axelera includes recipes for the PCIe driver and udev rules, so your custom Linux will recognize Metis accelerators straight out of the build. Supports Scarthgap,