A year after open-sourcing Unity Catalog, open governance is proving its value. Hundreds of organizations now use UC Open APIs to connect any engine, govern Delta and Iceberg tables, and rely on credential vending for secure, temporary access. With upcoming external writes,
OPEN SOURCE
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Creating Apps for Reachy Mini Robot with Simulation
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Anyone can create apps for Reachy Mini either with the robot or in simulation https://
huggingface.co/spaces?filter=
reachy_mini
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Spurious Rewards Testing Implementation on Qwen-2.5 1.5B
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We provide an implementation to test spurious rewards out on Qwen-2.5 1.5B. Check it out here!
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Qwen excels at RL finetuning with random rewards
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Qwen is hands-down the best model for RL finetuning Turns out you can even tune it with random rewards and it *still* improves. Paper shows it's not magic, pre-trained code reasoning patterns are uncovered with RLVR We provide hassle-free bash scripts to reproduce this below!
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AWS Model 100x Smaller Outperforms GPT and Claude on Tool Calling
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Everyone is sleeping on this new paper from AWS. A model 100x smaller than GPT and Claude crushed them on tool calling. AWS researchers took Facebook's OPT-350M, a model from 2022 with 500x fewer parameters than GPT, and fine-tuned it on ToolBench for a single epoch. The
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Core War Simulation and Interactive Redcode Visualization Tool
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In a sandboxed Core War environment, we can simulate our evolved “warriors” and visualize their behaviors.
— hardmaru (@hardmaru) 8 janvier 2026
The user can interactively visualize the assembly language (Redcode) of the warriors at where the mouse cursor is located.
GitHub Repo: https://t.co/vN19A68iOp pic.twitter.com/PnnZmDcTrLIn a sandboxed Core War environment, we can simulate our evolved “warriors” and visualize their behaviors. The user can interactively visualize the assembly language (Redcode) of the warriors at where the mouse cursor is located. GitHub Repo: https://
github.com/SakanaAI/drq -
Interview on Optuna History: From 2018 Challenges to Today
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Honored to be interviewed about the history of Optuna. It covers everything from our early challenges in 2018 to the mindset I carry into my work today. Full interview (in Japanese): findy-code.io/engineer-lab/i… Takuya Akiba (@iwiwi) Optunaの開発秘話についてインタビューして頂きました！ 2018年当時のOptuna誕生の経緯と裏側、この経験の振り返りや学び、今の仕事にも繋がる自分の根底にある考え方、などを上手く引き出してまとめてくださってます。ぜひ！ findy-code.io/engineer-lab/i… — https://nitter.net/iwiwi/status/2009079954907213846#m
→ View original post on X — @_yutaroyamada, 2026-01-08 17:00 UTC
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OpenTinker: Train AI Agents on Laptop Easily
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What if you could train AI agents on a laptop as easily as on a GPU cluster?
— 机器之心 JIQIZHIXIN (@jiqizhixin) 8 janvier 2026
Researchers from UIUC's U Lab, led by Prof. Jiaxuan You, just open-sourced OpenTinker.
It's a new "Reinforcement-Learning-as-a-Service" (RLaaS) system that decouples the complex training pipeline into… pic.twitter.com/YSH2txDsEhWhat if you could train AI agents on a laptop as easily as on a GPU cluster? Researchers from UIUC's U Lab, led by Prof. Jiaxuan You, just open-sourced OpenTinker. It's a new "Reinforcement-Learning-as-a-Service" (RLaaS) system that decouples the complex training pipeline into