Blankfein conceded there are other ways to approach diversity and inclusion. “The programs that you do to advance the careers, the education for everybody, do those very well,” he said. “That’ll disproportionately help the people who need it the most, which might include the people that would’ve otherwise been in those DEI programs.”
“The DOW agrees with these principles, reflects them in law and policy, and we put them into our agreement,” Altman wrote in the post.
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What about HuggingFace? It has basically everything. Kimi-k2-thinking is available along with a config and modeling class which seems to support and implement the model. The HuggingFace model info doesn’t say whether training is supported, but HuggingFace’s Transformers library supports models in the same architecture family, such as DeepSeek-V3. The fundamentals seem to be there; we might need some small changes, but how hard can it be?