@UiSavior https://t.co/pbL1YZfu7M

My brain: Back to you boss. https://t.co/bz0dUjrSyN

On our 250th birthday, celebrating the contribution of immigrants and international collaboration —46% of people with doctoral-level degrees working in US science and engineering fields are foreign-born —41% of the science and engineering research published by US authors in 2024 included international collaborators —20% of physicians working the the USA were born and educated abroad @ACarnegieFdn and @TheLancet https://t.co/0e8pYHjvR5

DOGE deletes itself on July 4th. It will be remembered as a hugely destructive failure. Musk promised $2 trillion in savings. What we got, by DOGE’s own unverified math, was $215 billion. Even that number was never proven. The costs were atrocious. Nearly 140,000 federal workers pushed out. Veterans waiting longer for care. USAID dismantled while people died overseas as a direct result. 20-year-olds with Red Bulls and no college degrees rummaging through Americans’ most sensitive data. Musk, the world’s richest man, a federal contractor with billions in government business, auditing the government that pays him, accountable to no voter anywhere.  Even Musk now says he wouldn’t do it again. The guy who ran it calls it a mistake. Government reform was there for the taking. Both parties know federal technology is outdated. Both parties know waste exists. Fixing it required serious people working with career civil servants who know where the problems actually are. Instead we got a chainsaw, a photo op, and years of lost expertise we now have to rebuild. Now Trump’s budget director says there will be no final accounting or receipts. They promised transparency and they’re closing up shop in the dark. They’re counting on us all to forget. https://t.co/LhgbGUY2Ca

Happy 250th birthday to this great nation! America is the epicenter of so much progress and innovation and I am grateful to be here. Happy July 4th! 🇺🇸 🎆 https://t.co/WckAyaDfIw

Sakana AI is heading to #ICML2026 in Seoul (July 6–11)! 🐟🇰🇷 Our team will present 11 papers spanning multi-agent coordination, sparse and efficient LLMs, test-time scaling, long-term memory, and agent benchmarks. A thread of everything we're presenting: https://t.co/w3XJOHHu3l

Investors spend a lot of time talking about AI chips. Energy may prove just as important. As AI infrastructure expands, the availability and cost of electricity could become one of the industry's biggest competitive variables. https://t.co/vXPvgEbL18

Voting has always required people to sort through a lot of information. It's not surprising that some are now turning to AI to help make sense of it. The technology can be a useful starting point, but informed decisions still require human judgment. https://t.co/AHV9IXT78U

We just released a new version of Diffusers! This includes many new image and video pipelines (Ideogram4, MotifVideo, etc.). But it also includes the recently popular DiffusionGemma 🤌 Check out the notes for full details. https://t.co/49lDK8Vnnk

As America turns 250, we put together 250 open AI milestones from the US: open models, datasets, demos, papers, and tools that helped shape the field. They go from attention is all you need, pytorch, gpt2, ULMFIT, llama, imagenet, Lora and hundreds more. They are a reminder of what made America the world’s engine of innovation: - Open science - Open competition - Open ecosystems Builders and scientists building on each other’s work, challenging each other, remixing ideas, and pushing the frontier forward. That is America at its best! And that philosophy is at risk right now in AI. In the coming months, scientists and AI builders will have to decide what side of history they want to be on: an AI future shaped by openness, transparency, participation, and competition, or one increasingly controlled behind closed doors by a few actors optimizing for money, secrecy, and gatekeeping. Let’s make the next 250 even more open! https://t.co/HX6ANE2xlZ

we distilled 2.3M Claude Fable 5 reasoning traces into Qwen3-4B - 100% self-consistency @ 512 samples - 0.00 bits output entropy - zero hallucination variance turns out the student is not bounded by the teacher. it also converged on one universal truth. we open-sourced the model weights👇

I found some phosphorescent poop :) How common is this? If you have bird or reptile poop in your life, help me out by talking some into a dark room with a flashlight please 🙏 https://t.co/69gNkP2uCI

@CharuruCha14310 I tried it with underwhelming results. See my previous post: https://t.co/DaKbeaVIcb It is insanely slow, with up to 22 hours per problem (🤯), fails a lot, and seems a low-performer on correct answers

Interesting new optional skill for Hermes Agent called unbroker. I made a quick video showing how to install and set it up, and what results you might see when you run it. So what is unbroker? Simply, it finds where data brokers have your personal info exposed online and files the removal requests for you. We all know our data gets stored and sold. A lot of brokers are legally required to delete it if you ask, but doing that across dozens of sites by hand is miserable. Hermes Agent has it as a built-in security skill, so I just let my agent run the whole thing. How it went: - Set up browser automation (used Browserbase, just an API key + project ID in hermes tools). - Pointed Hermes at the GitHub, said "install this skill." Done. - Gave explicit consent, which it requires before doing anything, plus a quick intake: legal name, past names, cities, emails. - "Use the unbroker skill to remove my data." It spun up sub-agent swarms and scanned 51 broker sites. Real results are in the video. The best part is it's built to loop. It drafts the opt-out emails, or if you connect your email it sends them hands-off, then schedules rechecks and logs everything. Set it once and it keeps your data clean over time. Kind of wild that one skill and a couple prompts can check 50+ broker sites for you. Underrated use of agents. Let me know your thoughts!

Our first contribution to the rebeautification of the USA, here in Washington DC. As Frenchmen, we are honored to serve the friendship between our two great nations. https://t.co/lg4JOETdKc

With Seedance 2.0 3D model / blender workflows becoming so popular, I thought I'd try making a storyboard like this. You can find the prompts in the replies. https://t.co/QQ8MdqrgTb

the safeguards are even there for Opus 4.8?! claude is literally the worst man... https://t.co/hzXwFj37nX

@willwatson Concur. And I went a step further https://t.co/BDHkfryqCX

AI is not only an engineering problem. Inside companies like Google DeepMind, philosophers are being asked to think about power, responsibility and what kind of future these systems may create. That says a lot about how serious this technology has become. https://t.co/IB99jWqoEh

https://t.co/tgImq5Ft0v?

Text-to-animation definitely still has a long way to go, but you can now iteratively prompt with a model like @AnthropicAI Fable 5 to get the animation you want. The experiment was only for the freestyle swimming part. Summary: - Task: Freestyle swimming with head turning to get some air every 4th stroke (ended up with every 2nd stroke, which is fine also) - 3% of weekly Fable allowance was used - Estimated cost: $1.20 - 7 iterations because Fable's vision is so terrible (please fix it @AnthropicAI). I had to keep taking screenshots myself and then describe every painstaking details of what's wrong with it, but it did get there eventually. And yes, all the shaders, water mechanics, tree, grass, etc. you see here will be open sourced soon (1-2 weeks). This is being developed as a mini-games engine based on @threejs for @callmesenseieng (Open Beta available soon).

@GJarrosson I disagree. I've met so many founders here and I wouldn't have met them if they didn't post here. You have a point, though. Don't spend much time on it. That's why I built a website that tracks 30,000 posts a day and tells you the news, so you can engage on the news and not pay attention to all the rest of it. That is that: https://t.co/8L5xphk0qQ

I’m happy to see @PhysicalAI included in the Fast Company world models map. The physical world is already speaking to us, and now AI models can help operators interpret sensor data more efficiently. Newton, Archetype AI’s world model, turns streams of sensor readings into a single understanding of what's happening and what's coming next.

Learning to code is dead. Meet Vovy. We teach the 99% who can't code how to build real software with AI with interactive exercises. And when you're ready to ship, Vovy Go plugs into any AI tool and fills the gaps in your prompts. Don't learn to code. Learn to vibe 😎 https://t.co/qUtbnJnro1

Humanoids should take on the heavy lifting jobs for humans. But can full-size humanoids handle heavy-payload teleoperation from noisy VR inputs? Excited to introduce our work, HEFT: Heavy-Payload Full-size Humanoid Teleoperation. HEFT tracks human intent from raw, noisy VR signals and enables real-world teleoperation with payloads up to 24 kg on L7, a 175 cm, 65 kg full-size humanoid. Website & more demos: L7 heavy-payload teleop + G1/L7 high-dynamic tracking https://t.co/fFgSWgpA7V G1 & L7 training code/checkpoints: https://t.co/uGimX29xyU

action! https://t.co/GfGPu05UHG

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@ty_kimx My AI reads 30,000 posts a day from the AI community here on X and builds this: https://t.co/kiuZ7QXLzb

Johnny’s Crazy Racing Cars is now on the Vision Pro App Store! Made this over the last 48 hours using mostly Fable and Opus. https://t.co/Z6knXf6H0c

@phylogenomics i feel like there's a story here but i don't have context https://t.co/zEYF9w6njZ

@mihirneal https://t.co/jJT66rMcxw

there’s one thing that people outside of sf don't understand about it. it’s how much of the sf ecosystem runs on people helping each other. not in a transactional way but genuinely. people like dev shah, bhavna, @MartinaBeg, and many others are constantly checking in, making introductions, giving advice, and showing up when needed. i also met people who took time out of busy schedules simply because they thought they could add value to my journey. people like @Scobleizer, @kushagra, ceo of key and partner at xoogler venture, and so many more people that i’ll be talking about in the coming days. between the 15-minute to 2 hour conversations and unexpected intros, i kept noticing the same pattern. the valley moves fast partly because people compress years of learning for each other. outsiders assume ecosystems are built by capital alone in sf, but that's where they're wrong. spending the last few months here made me think they’re equally built by generosity as well. small acts, introductions, and help always compound.

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