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Kimi K2.6 is now available on Bitdeer AI Cloud. Built for advanced coding, long-horizon execution, and more capable agent workflows, Kimi K2.6 gives developers and teams another powerful model option to build, test, and scale on our platform. Key highlights: 🔹Strong long-horizon coding capabilities 🔹Advanced technical and frontend code generation 🔹Better handling of complex, multi-step tasks 🔹Well suited for research, analysis, and structured generation Run Kimi K2.6 on our Model Studio today 👉: #KimiK26# #ModelStudio# #AIModels# #agenticai#

AI is advancing quickly. Society’s ability to manage its risks must advance just as fast. Today we’re sharing our vision for AI Resilience, with more than $130M in initial grants underway across bio-resilience, cyber-resilience, AI model safety, and AI’s impact on young people:

An AI model can get an ECG diagnosis right without reading the ECG. We tested frontier models from @OpenAI, @AnthropicAI, and @GoogleDeepMind, alongside smaller open models. After fine-tuning, models improved at predicting heart rate and electrical axis. But those values were already included in the prompt as machine-generated measurements. When the answer was in the text, the models learned it. When the answer was only in the waveform -> rhythm, conduction abnormalities, ischemic changes — they mostly learned the prior. Across model families, label formats, grid removal, stacked leads, and separate lead images, waveform-dependent performance stayed close to the majority-class baseline. A single accuracy number can hide prompt leakage, class imbalance, and missed abnormalities. We ran seven experiments to figure out what ECG models are actually learning: Thumbnail artwork inspired by J. Vermeer.