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🇨🇳 Xiaomi challenges Claude and ChatGPT with cheap AI
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- Xiaomi released MiMo-V2.6 Pro and MiMo-V2.6-Flash, omnimodal open-weight models handling text, image, video, and coding, positioning them against Claude, ChatGPT, Gemini, and DeepSeek at lower cost.
- Xiaomi says MiMo-V2.6 Pro is the top open-source model on the Artificial Analysis Intelligence Index, edging out Qwen3.8 Max and trailing only Claude Opus 5, GPT-5.6 Sol, and Meta Muse Spark on max effort.
- Both models ship on HuggingFace, OpenRouter, and API at the same price as V2.5 Pro, alongside 7,000+ open-sourced RL environments, the RL framework, and desktop apps, with Pro adding 3D spatial reasoning via "Vibe World."
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💰 AWS open-sources its AI coder
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- AWS has open-sourced Strands Harness, a general-purpose AI agent that ships with a preconfigured Strands Agent, bundling file, shell and web tools, plus context management, memory, sessions, prompt caching and delegation, runnable locally or on any cloud.
- Averaged across ALFWorld, GAIA, WebShop, τ³-bench and Terminal-Bench 2.1, AWS says the harness ran 45% cheaper than Claude Code and Codex at comparable accuracy, crediting context defaults that truncate large tool outputs and compact the window once it passes a threshold.
- On Terminal Bench 2.1 running Fable 5, Strands Harness cost $56.29 versus Claude Code's $248.05 while scoring 69.7 to 61.8, though folding in the ~14%-cheaper DeepSeek Harness cuts the overall savings claim from 45% to 28%.
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🤖 Nvidia's robotics toolkit adds AI agents
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- Nvidia released Isaac ROS 5.0 today at ROSCon in Toronto, adding agentic workflows and reusable skills that let AI agents help the platform's ~1.3 million ROS users build, customize and deploy robotics applications.
- The update ships agent-ready skills including a FoundationStereo fine-tuning workflow that adapts stereo perception to a developer's cameras, plus a FoundationPose inference library that tracks object position and orientation up to 5.5x faster.
- Isaac ROS 5.0 adds support for ROS Lyrical and Ubuntu 24.04 and scales across Jetson Orin Nano to Jetson Thor hardware, and is available now as free, open source software on GitHub.
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😬 Grok 4.7 trails GPT-6 and Claude
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- xAI has released Grok 4.7, its strongest model yet for coding and knowledge work, built on a larger base and trained with longer RL, but priced well below Western frontier rivals at $2/M input and $6/M output tokens.
- On the Artificial Analysis Intelligence Index v4.3.2, which averages ten benchmarks, Grok 4.7 scores 46 and lands mid-pack, trailing Claude Fable 5.1 and GPT-6, which tie at 53 each.
- Available now via the Grok API, Cursor, and Grok Build, the model struggles on agentic coding, hitting just 26% on Terminal-Bench 4.0 versus 60% for GPT-6 Astra, and even losing to the cheaper DeepSeek V4.1 Flash at 27%.
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🤗 Transformers now runs llama.cpp quants
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- Hugging Face's transformers can now load llama.cpp's GGUF quantized checkpoints directly through its standard APIs, letting you pull a GGUF from the Hub and run local inference on your own machine.
- By reusing ggml's Metal kernels and trimming synchronization overhead in the generation loop, transformers hits token-generation throughput close to llama.cpp across small dense, larger dense, and MoE checkpoints, plus you can dequantize a GGUF to fine-tune.
- The packed inference path is MPS-only and currently covers just the Qwen3.5 dense and MoE architectures plus compatible Qwen3.8 checkpoints, and padded batches can't use the mask shortcut so they run slower.
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