@arimorcos
CEO and Co-founder @datologyai working to make it easy for anyone to make the most of their data. Former: RS @AIatMeta (FAIR), RS @DeepMind, PhD @PiN_Harvard.
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SafeTulu reduced attack success by up to 22% relative in DatologyAI's tests while largely preserving capability.
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In posts, @yus167 expects simpler infrastructure and says static data and reinforcement learning could mix at any point during training.
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A user argues that evaluations are central to selling data to frontier labs and building self-improving models.
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PyTorch says every global batch’s hash matched when its 1B-parameter test resumed from 16 GPUs on 8, 32, and 64.
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Its organizer says Datology Labs will collaborate with academia and nonprofits and host Labs Fellows for six months.
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Datology says Curation Studio delivered a 6x compute multiplier by making better use of existing data.
YouTube
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A launch post says Zephon is robust to GPU-count changes and claims it reduces data materialization costs.
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Applied Compute CEO and other founders post about narrow AI models for business tasks.
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Ari Morcos replies that the SSL plot shows bad filtering, not a reason to skip it.