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@tunguz
Founder and CEO @tabul_ai. Creator of @trainxgb. ML ex Nvidia. Data Scientist. Physicist. Catholic. Husband. Father. Stanford Alum. Memelord. e/xgb. AMDG.
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A post credits comments, critiques and requests for the latest round of changes to mlx-geospatial.
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A commentator predicts AI efficiency gains won't suffice without a major new way to exploit the physical world.
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A user makes an AI-generated chanteuse the twist in a 'she's a ten' joke.
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The release announcement says the package is open source under the MIT license and available on PyPI.
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A user pairs the quip with a photo link, leaving its subject unstated.
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SemiAnalysis says an upstream vLLM optimization made the 2.8-trillion-parameter model 1.68 times faster on the same hardware.
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A post picks AI labs collectively for the 2020s, after naming Apple and Nvidia for earlier decades.
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A user calls what two M5 Ultras and MLX can do now “pretty remarkable” and links to a photo.
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finkd says the model runs well on new Mac Studios, crediting work with Apple and John Ternus.
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A quote post jokes about a dollar amount using an unusual way of counting.
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A user jokingly proposes “posteconomic” husbands as the correct term, without naming what it replaces.
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A user wonders how far the device could have gone with Siri as a capable personal AI assistant.
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A poster says almost any Stage 4 cancer patient would find human understanding of a working cure's mechanism irrelevant.
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A user frames the choice around how an AI’s intelligence compares with their own.
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A user calls the times ahead “scary and exciting” while quoting another post.
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After years in academia, a practitioner says they focused on getting things to work in ML instead of learning theory.
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A user who had mocked flight-booking AI demos calls the experience a “qualitative life improvement.”
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Hugging Face says users can task agents with independently reproducing published experiments to help identify high-quality work.
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A user links that view to difficulty grasping fundamental reality and argues the Enlightenment overestimated natural intellectual limits.
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A post argues that aligning general-purpose AI hinges on political choices about desirable values, not just model training.
