Masayoshi Son, Japan's second richest man and SoftBank CEO, is about to invest 75 billion in France to build one of Europe's largest AI datacenters. Why France and not elsewhere? A simple reason: our nuclear electricity, abundant and carbon-free. AI
COMPUTING
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Official DiffusionBlocks Implementation for ViT Image Classification
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Our official implementation of DiffusionBlocks on image classification using Vision Transformers (ViT)
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Nostalgia for early 2024 AI pipelines and progress
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In the early days you had to build so many things just to make this work.
— Pietro Schirano (@skirano) 31 mai 2026
Computer use wasn’t a thing, models were slow, and you had to pipeline so many models. I do miss those times but it’s amazing to see how far we’ve come.
This was 2024.
https://t.co/Gd8NI4b5vB https://t.co/WB7f7ivZxiIn the early days you had to build so many things just to make this work. Computer use wasn’t a thing, models were slow, and you had to pipeline so many models. I do miss those times but it’s amazing to see how far we’ve come. This was 2024. https://
x.com/skirano/status
/1804219134999192048?s=20
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Omni’s Editing Advantage: Conversational Video AI, Not Just Generation
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Omni's real advantage isn't output quality. Not yet.
— God of Prompt (@godofprompt) 31 mai 2026
It's the editing model.
Every other video AI tool works the same way: generate, don't like it, start over from scratch. Omni lets you edit the video through conversation. Change the camera angle in step 3, and it still… pic.twitter.com/wka8rI4iiHOmni's real advantage isn't output quality. Not yet. It's the editing model. Every other video AI tool works the same way: generate, don't like it, start over from scratch. Omni lets you edit the video through conversation. Change the camera angle in step 3, and it still
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Codex Computer Use is Viscerally Compelling
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codex computer use is viscerally compelling https://t.co/XibxHn1Q9W
— Greg Brockman (@gdb) 31 mai 2026codex computer use is viscerally compelling
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Practical Deep Reinforcement Learning with Python
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Practical Deep #ReinforcementLearning with #Python! #BigData #Analytics #DataScience #IoT #IIoT #PyTorch #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode https://
geni.us/Practical-RL-P
ython
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GPT Realtime 2: Unlocking Real Magic
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GPT Realtime 2 unlocks some real magic: https://t.co/GNv5i4fqmh
— Greg Brockman (@gdb) 31 mai 2026GPT Realtime 2 unlocks some real magic:
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Intro to Neural Networks for AI Machine Learning and Data Science
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Intro to Neural Networks. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
geni.us/Intro–Neural-
Nets
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Build Your First ML Model in KubeFlow
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Build Your First ML Model in #KubeFlow. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode https://
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245% faster JS function execution: a promising new approach
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Claiming 245% faster completion is a big statement, but their approach of running full JS functions instead of step-by-step tool calls makes a lot of sense!
— Charly Wargnier (@DataChaz) 30 mai 2026
Going to have to try this 👀 https://t.co/TE7DdyHXN1Claiming 245% faster completion is a big statement, but their approach of running full JS functions instead of step-by-step tool calls makes a lot of sense! Going to have to try this