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OpenAI 1 year ago 10
OpenAI has partnered with Guardian Media Group to display Guardian news content within ChatGPT. The agreement includes attribution of Guardian articles and links back to the publication's website. ChatGPT users will now see Guardian reporting as a source when the AI system references news stories.
Hugging Face 1 year ago 14
The Open LLM Leaderboard re-evaluated all 3,751 submitted models using Math-Verify, a new evaluation tool that fixes parsing and comparison failures in mathematical reasoning tasks. Models improved by an average of 4.66 points, with algebra-related subsets showing gains of 6.93 to 8.27 points, while some models improved by nearly 90 points on specific subsets. The ranking reshuffling elevated Qwen and DeepSeek models substantially—Qwen scores more than doubled and DeepSeek scores nearly tripled—while Nvidia's AceMath models now dominate the MATH-Hard leaderboard top positions.
Hugging Face 1 year ago 24
Fireworks.ai is now available as a supported inference provider on Hugging Face Hub, allowing users to run serverless inference on models including DeepSeek-R1, DeepSeek-V3, Mistral-Small, and Llama-3.2-90B. Users can access Fireworks inference through the Hub's website UI, Python and JavaScript SDKs, or HTTP calls, with billing passed through directly at standard Fireworks API rates and no markup from Hugging Face. PRO subscribers receive $2 in monthly inference credits that work across all providers on the platform.
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TLDRocket
8 August 2026
Mistral AI's release of Shieldstral 1.0 3B marks a practical inflection point in content moderation: safety classifiers are shedding their fixed rulebooks. The 3B model takes policies as plain-language prompts at inference time—meaning a single deployment can enforce different standards for different customers without retraining—while matching the performance of a 20B baseline on both text and multimodal content. It runs on a single 16GB GPU and ships under Apache 2.0, making it available for local deployment across vLLM and llama.cpp. For teams managing multiple content policies or operating across jurisdictions, this matters because moderation no longer requires separate model forks or constant retraining cycles.
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