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New #pumprules# episode tonight-hype compliments of AI chat prompt 🫶 @BravoTV 9 pm ET
[#今日のandTEAM#] 260822 2026 &TEAM CONCERT TOUR 'BLAZE THE WAY' in SINGAPORE #andTEAM# #ASIATOUR_BLAZETHEWAY# #BLAZETHEWAY_ASIA#
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We've shared research on fine-tuning forecasters, now you can try it for yourself: a cookbook recipe for training a model to predict event probabilities given reference information. Start with the provided dataset from @ProphetArena, then try your own.
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GLM-5.3 from @Zai_org is now available on Tinker with 256k context. With scaled up post-training from the same base as GLM-5.2, it is currently the strongest open-weights model on coding evals such as Terminal-Bench 3.0 and DeepSWE 1.1.
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LLMs with scaffolds have lagged on text-to-SQL, a task that relies on human judgment. By folding expert judgment into every part of RLVR on Tinker, @maxYuxuanZhu and @ddkang (UIUC and Bridgwater) trained the first text-to-SQL model to beat the human mark.
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Qwen3.8-27B is live on Tinker today. It’s natively multimodal with images + video, has flexible thinking control, and is meaningfully better at coding, professional work, research, and long-horizon agentic tasks. Let us know what you build with it!
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We're looking for Tinker fanatics to help the world fine-tune models. Join us!
Sorting which financial docs are worth an analyst's time is surprisingly hard for frontier LLMs. With an expert-labeled dataset and on-policy distillation, Bridgewater fine-tuned a model to do it reliably and cheaply.
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