This repository on ML operations has free talks, books, papers and more: https://
bit.ly/MLops Developed by @visenger
OPEN SOURCE
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Free MLops Repository with Talks Books and Papers
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LobeHub: multi-model, direct API, agent marketplace, 70k GitHub stars
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Claude Cowork: $200/month. One model. macOS only.
Manus: VM-based browsing. Slow. Unstable. Expensive. LobeHub:
→ Multi-model support (switch freely)
→ Direct API access (faster, more accurate)
→ Agent marketplace to discover and remix
→ 70k GitHub stars foundation More -
MCP Apps extends Model Context Protocol for interactive UI in AI products
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The tech behind this is MCP Apps. Built on the Model Context Protocol (MCP), the open standard for connecting AI to tools. MCP Apps extends this further so developers can build interactive UI that works in any supporting AI product not just Claude.
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Frontier Model Training Enables More Capable Dangerous Open-Source AI
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These attacks scale with frontier model capabilities. Across both OpenAI and Anthropic model families, training on data from newer frontier models produces more capable—and more dangerous—open-source models.
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Voyager SDK v1.5.3 Adds YOLO26 Support Improvements
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Voyager SDK v1.5.3 adds YOLO26 support End-to-end NMS-free inference, faster CPU performance, better small object detection through ProgLoss + STAL. Removes DFL module for simpler export and broader hardware compatibility. Available across all YOLO26 sizes (n/s/m/l) for
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NVIDIA Earth-2 Open Models Released for Climate AI
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https://
huggingface.co/blog/nvidia/ea
rth-2-open-models
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The challenge of model transparency and black box neural networks
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Yeah, they open sourced it, but most of the work is done by a neural network and they didn't share the weights of that. So it's still 2/3rds a black box. And that black box is changing every month (I think it actually is changing faster than that).
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Hardware Requirements for Running OpenClaw AI
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Just to check before I order, is this enough to run @openclaw
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Qwen3-TTS Open-Source Real-Time Voice Stack Released
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Qwen3-TTS just cracked open-source TTS! Qwen3-TTS turns a Qwen3 LM into an instruction-steerable real-time voice stack by jointly training a speaker encoder + a dual-track text/acoustic token backbone Under the hood, it uses hierarchical multi-token prediction over RVQ
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CUA-Bench Open-Sourced for GUI Agent Evaluation
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Congrats to @trycua on open-sourcing cua-bench!
— Snorkel AI (@SnorkelAI) 23 janvier 2026
We're collaborating on task design & data curation for GUI workflows – bringing the same systematic evaluation approach from Terminal-Bench to computer-use agents.
15 native tasks / 40 variations + OSWorld & Windows Agent Arena.… https://t.co/7GZkGHHTYxCongrats to @trycua on open-sourcing cua-bench! We're collaborating on task design & data curation for GUI workflows – bringing the same systematic evaluation approach from Terminal-Bench to computer-use agents. 15 native tasks / 40 variations + OSWorld & Windows Agent Arena.