INCREDIBLE The MOST COMPLETE GUIDE for understanding benchmarks and evals, and why training on them is intentionally misleading is now available online to read for free Covers the fundamentals – What machine learning is actually trying to measure (generalization vs
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Apple develops faster image codec using neural architecture search
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What if your photos compressed 3x better while decoding faster than most ML codecs run on a V100 GPU? Apple researchers present a new learned image codec built for both perceptual quality and on-device speed. They used neural architecture search over millions of backbones to
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Flywheel of models and data limited to verifiable domains
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Models, synthetic data, and environments are a flywheel now. The best model generates the best data, trains a better model, generates even better data. Rinse and repeat. But the flywheel only spins where you can verify: math, code, agents with graders. Everywhere else it merely
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JSON Extras API Explorer with Fable 5 and GPT-5.5
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Since the JSON extras API is a bit difficult to explain without an example, I also had Fable 5 and GPT-5.5 collaborate on this custom API exploration tool to test the new feature https://tools.simonwillison.net/datasette-extras-explorer#url=httpslatest.datasette.iofixturesfacetable.json_size1_facetstate&extras=countcount_sqlexpandable_columnsfacet_results
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Context-aware AI and adaptive governance for data integrity
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Enforcing data integrity at every layer requires a shift towards context-aware AI pipelines. The real evolution is in developing adaptive governance mechanisms that adjust to dynamic threats. As AI scales, proactive security orchestration becomes crucial for sustained trust.
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@clementdelangue — 2026-06-11
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HF est devenu la meilleure plateforme de stockage pour les modèles et les jeux de données PRIVÉS et PUBLICS, qu'ils soient intermédiaires ou finaux ! Excellent exemple de @heyjasperai qui a utilisé les buckets HF pour stocker leur jeu de données Monet et entraîner des modèles
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Standardization of inter-paradigm evaluation for tabular encoders
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TRL-Bench Standardization of representation-level inter-paradigm evaluation for tabular encoders
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Sarcastic list of obstacles for land AI data centers
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Ah yes because engineering on land it's cost prohibitive because 1) you need to get an electricity grid hookup you won't get, 2) everyone's protesting against building AI data centers, 3) regulation blocks you from building new data centers
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Modern AI helpdesk acts, not just answers
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A modern AI helpdesk doesn't just answer. It acts. → Checks live store data
→ Follows your brand policies
→ Recommends products
→ Handles returns and order updates
→ Knows when to hand off to a human, with full context Across email, chat, SMS, WhatsApp, Instagram, and -
Step-by-step repo to build and train a transformer LLM from scratch
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Train your own LLM from scratch! A step-by-step repo that walks you through building and training a transformer model from scratch using PyTorch. From downloading training data all the way to generating text. The architecture is built from the ground up following the original