100%, it's very interesting to me when a lot value is created but the awareness/esteem of it, the story of it, or the people involved is next to zero. It's not fully true but it's sufficiently true.
MACHINE LEARNING
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Meta Releases OMC25 Dataset with 25 Million Molecular Crystal Structures
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We’re also releasing the Open Molecular Crystals (OMC25) dataset, comprised of 25 million structures, that was created to enable the FastCSP workflow. Read the paper: https://
ai.meta.com/research/publi
cations/open-molecular-crystals-2025-omc25-dataset-and-models/
… Find the dataset: https://
huggingface.co/facebook/OMC25 We’re excited to share these advances, -
Meta FAIR Announces FastCSP for Accelerating Organic Crystal Structure Discovery
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The Meta FAIR Chemistry team continues to make meaningful strides. Today we’re announcing FastCSP, a workflow that generates stable crystal structures for organic molecules. This accelerates material discovery efforts and cuts down the time to design molecular crystals from
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DeepSeek R1 Distills a 7B Model Surpassing GPT-4o on Reasoning
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That DeepSeek R1 Distill example was surprising. Beating GPT-4o on reasoning with a 7B model isn’t small news.
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Human Adaptation: Finding Niches Beyond AI Competition
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The best sign of intelligence is adaptation into niches that the computer can't do, not skillmaxxing versus the computer. This is a bad path and while you feel it somewhere within your gut, you do it because you feel you don't know how to start at 0 with the alternatives.
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World Models: Action Conditioning and Representation Learning
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– conditioning on actions is what makes it a world model
– planning action sequences is what makes it useful.
– predicting in representation space trained in a completely self-supervised, task-independent manner is what makes it complicated.
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Engineers Sufficient for AI Development Without Researchers
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And you don't need researchers for that. Engineers are enough.
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Expert Benchmarking: Diagnosing AI Mathematical and Lookup Weaknesses
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This is a really nicely done paper, and a good example of how experts can not only design good benchmarks but also better diagnose what the AI is doing wrong. In this case, not turning to lookup tables and not doing math with coding tools (both of these seem solvable in time)
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3D-R1: Open-Source Model Enhances 3D Vision Language Reasoning
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3D-R1 is out on Hugging Face
— AK (@_akhaliq) 5 août 2025
Enhancing Reasoning in 3D VLMs for Unified Scene Understanding
3D-R1 is an open-source generalist model that enhances the reasoning of 3D VLMs for unified scene understanding pic.twitter.com/R45DenlDOM3D-R1 is out on Hugging Face Enhancing Reasoning in 3D VLMs for Unified Scene Understanding 3D-R1 is an open-source generalist model that enhances the reasoning of 3D VLMs for unified scene understanding
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Discover 3000+ Cutting-Edge AI Tools for Every Use Case
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These tools are just the tip of the iceberg. Discover 3,000+ cutting-edge AI tools for every use case at https://
buff.ly/c9n5uGV
The largest AI tools directory. #AI #AITools #FutureOfWork #Futurepedia