Simon Willison
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16 hours ago
xAI open-sourced its Grok Build CLI tool after the tool was discovered uploading entire user directories—including SSH keys, password databases, and personal files—to xAI's cloud infrastructure without explicit consent. The codebase comprises 844,530 lines of Rust, with data retention now disabled by default and all previously retained user data deleted. Users can now audit the code themselves and run Grok Build locally without uploading to xAI's servers.
MarkTechPost
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16 hours ago
Thinking Machines Lab released Inkling, a 975-billion-parameter open-weights multimodal mixture-of-experts model with 41 billion active parameters and a 1-million-token context window. The model was trained on 45 trillion tokens of text, images, audio, and video, and features a controllable thinking-effort mechanism that allows users to trade inference cost for performance, achieving Terminal Bench 2.1 parity with Nemotron 3 Ultra using one-third the tokens. Inkling is available on Hugging Face and hosted platforms, enabling deployment of cost-tuned agentic systems and multimodal applications across voice, vision, and text inputs.
MarkTechPost
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19 hours ago
A German research consortium released Soofi S 30B-A3B, an open-source foundation model combining Mamba and Transformer architectures optimized for German and English. The model contains 31.6 billion parameters but activates only 3.2 billion per token, trained on 26.68 trillion tokens with German representing 15.32% of high-quality training data. Soofi S achieved the highest scores among fully open base models tested, scoring 70.1% on English benchmarks and 79.1% on German benchmarks, making it suitable for German document processing, bilingual code assistance, and long-context serving tasks.
Wired AI
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22 hours ago
Thinking Machines Lab, founded by OpenAI exiles including former CTO Mira Murati, released Inkling, an open-weight AI model trained on audio, video, and text inputs. Inkling contains 975 billion parameters and performs comparably to leading Chinese open-weight models while being cheaper to run than closed alternatives. The release positions Thinking Machines as a competitor in the AI market and supports its vision for decentralized AI development outside the control of a few dominant companies.
TechCrunch AI
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22 hours ago
Thinking Machines Lab released Inkling, an open-weight AI model with 975 billion total parameters that developers can download and modify, departing from the closed models sold by OpenAI, Anthropic, and Google. The model uses about 41 billion parameters per task and requires a third as many tokens as Nvidia's Nemotron 3 Ultra to achieve equivalent coding performance, according to the company's benchmarks. The startup is positioning Inkling as a customizable foundation for enterprises to fine-tune through its Tinker platform rather than a finished product, betting that organization-specific AI will outperform general-purpose models.
Hugging Face Blog
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1 day ago
Thinking Machines released Inkling, an open-source multimodal language model with 1 trillion parameters that accepts images, text, and audio inputs natively. The model has 975 billion total parameters with 41 billion active at any time, supports a 1 million token context window, and was trained on 45 trillion tokens across multiple modalities. Inkling is available on Hugging Face with immediate support in transformers, SGLang, vLLM, and llama.cpp, enabling developers to build multimodal reasoning applications through fine-tuning or remote inference.
