📚 Au Japon, des gens vont désormais en boîte de nuit… pour s’asseoir silencieusement et lire un livre pendant qu’un DJ joue de la musique d'ambience. Le concept s’appelle JUCY BOOK RAVE et se déroule notamment dans un club souterrain de Shimokitazawa, à Tokyo. Ici, pas besoin de danser ni de hurler pour parler à la personne située à 30 centimètres de vous. Les participants viennent avec un livre, s’installent dans la pénombre et lisent pendant que la musique accompagne leur soirée.

efficiency, productivity, speed we keep worshipping these words like they are what we live for ship faster merge more manage more agents compress every loop remove every pause turn every hour into output but what is the point of endless production if there is no time left to think deeply? not react not optimize not summarize not clear the queue think to sit with a question long enough that your real intention starts to appear to find the purpose underneath the motion to ask whether the thing being accelerated should exist at all ai could be a new canvas a way to make strange things personal things impossible things tools, worlds, poems, games, interfaces, films, languages, rituals things that let more people touch the shape of their own imagination but instead, so much of it is becoming slop factories more content more funnels more tickets more fake work pretending to be value you can merge 2000 prs you can manage 500 agents you can wake up to dashboards proving that the machine kept moving while you slept but what is the point if you only sleep 5 hours a day? what is the point if you stop talking to other humans? stop learning about the past? stop playing? stop wandering? stop being surprised? what is the point if your whole life becomes optimizing the system that is consuming you? speed is not meaning scale is not wisdom automation is not freedom if it only makes everyone run faster and where are we running? toward what? a world where every person becomes a manager of machines, and every machine produces more things no one had the time to truly want? the danger is not that ai makes us lazy the danger is that ai makes us endlessly busy that it gives us infinite production before we have found intention infinite execution before we have developed taste infinite motion before we have learned how to be still maybe the real frontier is not more speed maybe it is discernment knowing what not to make knowing when to stop knowing when the most productive thing is to sleep, read history, call a friend, play with a cat, walk without tracking it, or stare at the ceiling until the false urgency dissolves tools should give us more life not turn life into a tool if ai is going to matter, it should not just help us produce more it should help us become more human more imaginative more free otherwise, it’s the same old factory just without humans

Mt Fuji, Japan · 256 × 151 pixels · 256 colors

👀 periscope

Magome, Japan · 256 × 144 pixels · 16 colors

64 colors, 180 × 320

We built high-throughput materials labs in Menlo Park to create a loop between experiments and models. The labs generate fresh data, the models learn from it, and then help us decide what to try next. Using only 1,300 H200s, plus months of our experimental data, we mid-trained and RL’d an open-source model to surpass GPT-6 Astra on our analysis benchmark. We call it Neon. This is real footage from our lab. We’re focusing first on hard problems in materials science, including superconductors, magnets, and semiconductor materials. Read our blog posts below.

All of the demos in this video were recorded in real-time with Astra ⭐️ It’s been so much fun making our models faster and safer at CUA with @BrookeaJoseph @fjord41 @magusnn @msieb1 @yihengxu_ @yilongqin @.alz @realtsmc @tejalpatwardhan @mckbrando @AriX and so many others!

i wonder if it’s possible to create an LLM that is more focused on reasoning or generating novel ideas. most LLMs today “go with the flow” and seem more like an advanced autocomplete. imagine an LLM that’s more like your smartest friend: very little context => great insight

using luna to implement ai control for dcss

also computer use is a huge unlock, it literally plays the game and it’s like “oh lol this does fucking suck, i see what you mean about the walk cycles or resource placement”

This is who runs this account

OpenAI’s work in science is motivated by a simple belief: advanced AI can become a powerful partner for scientists, helping them explore more ideas, connect distant concepts, design better experiments, and accelerate discoveries that benefit humanity.

codex for game development

even this misleading photo excluding test time scaling for 5.5 still makes 5.5 look so good 😂

screenshot diff view for every agent generated change