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Hugging Face 1 year ago 22
The Open R1 project released OpenR1-Math-220k, a dataset of 220,000 mathematical reasoning problems with verified solutions generated using DeepSeek R1 on 512 H100 GPUs. The dataset achieved 90.6% on MATH-500 and 36.7% on AIME 2024 when used to fine-tune Qwen-7B, matching performance of DeepSeek's official distilled model. The open-source pipeline enables the community to scale reasoning data generation beyond mathematics to other domains like code.
OpenAI 1 year ago 33
OpenAI has partnered with Schibsted Media Group to add Guardian news content and archives to ChatGPT. The agreement grants ChatGPT users access to current Guardian articles and historical archive material through the platform. Schibsted Media Group will receive compensation for the licensed content, and Guardian readers will see attribution and links back to original articles.
Hugging Face 1 year ago 9
The Open Arabic LLM Leaderboard released a second version in December 2024, replacing machine-translated and saturated benchmarks with natively developed Arabic tasks and newly available datasets. The updated leaderboard added Native Arabic MMLU (40 tasks with 15,000 questions), Human Translated MMLU (57 tasks), MedinaQA, AraTrust (522 questions on safety), and ALRAGE, while retaining 6 AlGhafa tasks and 2 Belebele tasks from the first version. The revised benchmarks aim to better capture Arabic's morphological complexity and cultural context, addressing community feedback that prior datasets failed to reflect real-world Arabic use cases and dialect diversity.
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TLDRocket
3 October 2026
Microsoft’s ThinkingBox benchmark put a bright, slightly uncomfortable light on what “agent success” really means: not whether a model can describe the right plan, but whether it can reliably reach the correct end state while the database and tool world disagree with the transcript. In a 507-task suite, Microsoft ran 20 repeated executions per task—79,853 attempts failed the executable checks out of 121,680—and among those failures, 77.61% still wrote wrong field values. The headline metric moves from pass-by-appearance toward consistency cost: how often an agent updates the correct records, avoids unintended side effects, and survives the messy reality of gaps between tool-call traces and backend outcomes.
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