What people call "distillation" is a super common practice (you use other models to benchmark your model, to evaluate your inputs or to add a little bit to your datasets) that in my opinion should be covered by fair use (just like using public data is), especially when the
RESEARCH
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Mistral brags about worse AI benchmark performance
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Regular AI companies brag about how much better their model is on benchmarks. Only Mistral brags about how much worse its one is.
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HERMES: Training-Free AI System for Real-Time Video Stream Understanding
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How can we make AI understand live video streams in real-time without draining GPU memory? Researchers from Fudan University, Shanghai Innovation Institute, and the National University of Singapore introduce HERMES. This training-free system reimagines the model internal memory
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LTX-2.3 Reconstructs Blown-Out Dynamic Range in 8-Bit Footage
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The sky in the original 8-bit footage here is completely blown out, but LTX-2.3 changed that, reconstructing compressed dynamic range.
— Chubby♨️ (@kimmonismus) 30 avril 2026
Not a filter. Not a tone-map. pic.twitter.com/qNz0NVnttLThe sky in the original 8-bit footage here is completely blown out, but LTX-2.3 changed that, reconstructing compressed dynamic range. Not a filter. Not a tone-map.
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Self-Replication Threshold Proposed as Better AGI Milestone
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The open self-replication threshold is more useful than AGI as a line to watch. It's concrete and measurable.
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Gemini Embedding 2: First Natively Multimodal Embedding Model Explained
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Last week, we made Gemini Embedding 2, our first natively multimodal embedding model, available to the general public. Since then, developers have used it to build video analysis tools, visual shopping assistants, and more.
— Google AI (@GoogleAI) 30 avril 2026
But you might be wondering… what is an embedding… pic.twitter.com/eibioDznpXLast week, we made Gemini Embedding 2, our first natively multimodal embedding model, available to the general public. Since then, developers have used it to build video analysis tools, visual shopping assistants, and more. But you might be wondering… what is an embedding
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Critique of GDPval-AA AI Benchmarking and Artificial Analysis Transparency
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i started writing about it in september, see my essay called Peak Bubble.
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Distillation Practice in AI Should Be Covered by Fair Use
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What people call "distillation" is a super common practice (you use other models to benchmark your model, to evaluate your inputs or to add a little bit to your datasets) that in my opinion should be covered by fair use (just like using public data is), especially when the
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Falkor’s Open-Source GraphRAG SDK Tops GraphRAG Benchmark
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Falkor's new GraphRAG SDK just took #1 on GraphRAG bench and yes it's open source
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Researcher Claims Priority on World Models Concept Since 2016
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I started using the concept in 2016 (e.g. in my NIPS 216 keynote, in which I called it a "world simulator"). I published papers on video prediction in 2016.
This was meant to be a key step to train world models.
Ha&Schmi appeared in 2018. The slide below is from a talk I gave