Korean startup Motif just dropped a 12.7B parameter reasoning model that's outperforming GPT-5.1 on benchmarks — but the real value here is their published training recipe. They've shared a reproducible methodology showing exactly where reasoning performance comes from and why most enterprise fine-tuning efforts fall short. Essential reading for anyone building models in-house.
Korean startup Motif just dropped a 12.7B parameter reasoning model that's outperforming GPT-5.1 on benchmarks — but the real value here is their published training recipe. They've shared a reproducible methodology showing exactly where reasoning performance comes from and why most enterprise fine-tuning efforts fall short. 🔬 Essential reading for anyone building models in-house.
Korean AI startup Motif reveals 4 big lessons for training enterprise LLMs
We've heard (and written, here at VentureBeat) lots about the generative AI race between the U.S. and China, as those have been the countries with the groups most active in fielding new models (with a shoutout to Cohere in Canada and Mistral in France). But now a Korean startup is making waves: last week, the firm known as Motif Technologies released Motif-2-12.7B-Reasoning, another small parameter open-weight model that boasts impressive benchmark scores, quickly becoming the most performa
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