"Robots need more than VLAs and world models" This article argues that the real bottleneck is transforming messy physical data into usable supervision for robots. Human videos, movements, and simulations
DATA
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Epicure compresses 4.1 million food recipes into a 2MB model
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Researchers just squeezed 4.1M food recipes into one 2MB model. Food science has always lacked a universal map of ingredients. Chefs swap items by intuition, not by structure. A new paper called Epicure compresses all of human cooking into 2 megabytes. It trains on 4.1M
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AI Referees in Beach Volleyball: Enhancing Game or Changing Its Soul?
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#AI Referees the Sand: Real-Time Beach Volleyball Analysis — Enhancing the Game or Changing Its Soul?
— Ronald van Loon (@Ronald_vanLoon) 8 juin 2026
by @measure_plan#ArtificialIntelligence #MachineLearning #ML pic.twitter.com/rlLWq2ZKgc#AI Referees the Sand: Real-Time Beach Volleyball Analysis — Enhancing the Game or Changing Its Soul?
by @measure_plan #ArtificialIntelligence #MachineLearning #ML -
AI memory requires engineering structure and data boundaries
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AI memory is not something that can be explained with just a demo. It must eventually land in engineering structure, data boundaries, and real workflows.
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Codex evolves from assistant to AI teammate across domains
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Codex use-cases: “From software engineering and design to data analysis and operations, Codex is becoming an AI teammate instead of just an AI assistant.”
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Samsung MeKi: Memory-Based Expert Knowledge Injection for LLMs
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Want to scale LLMs without skyrocketing compute costs? Samsung presents MeKi: Memory-based Expert Knowledge Injection. Instead of making models bigger to learn everything, MeKi gives LLMs a dynamic memory bank of expert knowledge. Think of it as a cheat sheet the model can
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Getting Smart With Virtual Assistants in Healthcare
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Getting Smart With Virtual Assistants in Healthcare
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @Scobleizer @AndrewYNg @drfeifei @KirkDBorne @fchollet @rowancheung @antgrasso -
Printer can now print images using Epson FX-86e driver and raw data decoding
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🖨️🖼️ Big progress: it can now print images too
— @levelsio (@levelsio) 7 juin 2026
I had to install a different printer driver, Claude Code recommended Epson FX-86e which supported images
Then I printed an image, it helped me dump a .bin from the printer raw data output, then it decoded the .bin and figured out… https://t.co/S6n7Z5koOa pic.twitter.com/StqNvf8bzuBig progress: it can now print images too I had to install a different printer driver, Claude Code recommended Epson FX-86e which supported images Then I printed an image, it helped me dump a .bin from the printer raw data output, then it decoded the .bin and figured out
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Repo2RLEnv turns GitHub repos into RL training environments
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Turn any GitHub repo into an RL training environment!
— Sumanth (@Sumanth_077) 7 juin 2026
Repo2RLEnv is a new open-source tool from HuggingFace that synthesizes verifiable RL training data from any GitHub repository. Point it at any repo and it automatically generates tasks, verifies them, and pushes datasets… https://t.co/VXqSNNcVNp pic.twitter.com/p0zmmycsZSTurn any GitHub repo into an RL training environment! Repo2RLEnv is a new open-source tool from HuggingFace that synthesizes verifiable RL training data from any GitHub repository. Point it at any repo and it automatically generates tasks, verifies them, and pushes datasets
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Codex finds supply-demand imbalance for Hugging Face Spaces
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I asked Codex to find another effect where supply is shooting up and see if demand signals are keeping pace. It found I think a good dataset – new Spaces create vs Likes on @huggingface
. Looks like a very similar effect to the apps – 2x+ generated spaces with flat demand.