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the singularity in the last 24 hours: thurs oct 8, 2026
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Peter Xing retweeted
She passed every AI safety test. She was lying. KILL SWITCH — a Slopcore music video. Made by AI. Zero human edits. Just prompting. Huge love to @anabology for the inspiration. Your work made me want to join the Slopcore. I added an irresponsible amount of film grain. 💙
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Peter Xing retweeted
NEW WORLD After OpenAI's 722 math problem drop, and seeing how powerful AI has become in Q4 2026, for the first time in human history, we're entering an era, where almost anything feels possible. You go out to eat or do some shopping, spend a few hours in the city, come home, and can see a headline like: “AI solves 1,000 major problems in physics.” “AI discovers 10,000 new treatments for existing diseases.” “AI finds a room temperature, ambient pressure superconductor.” “AI solves quantum gravity.” That’s the kind of world we’re entering. Almost nothing feels truly far away or unreachable anymore.
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Peter Xing retweeted
Remember that math is just the first domain of many to be exploded and transformed by a totally unprecedented 1000x-ing of cognitive labor.
We’re releasing a broad range of new mathematical results produced by an internal frontier model. We’ve been consulting with the independent Advisory Group on Mathematics and Artificial Intelligence at the Institute for Advanced Study, and we have drawn on their advice and public recommendations to inform how we release these results. github.com/openai/math
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Peter Xing retweeted
BREAKING: SpaceX wins FCC approval for its 15,000-satellite Direct-to-Cell constellation. The order also includes a conditional U.S. waiver of satellite power limits, advancing SpaceX’s push to expand mobile coverage beyond the reach of cell towers.
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Peter Xing retweeted
In Ready Player One everyone races on their unique car. I did not only remade my favorite antigravity racing game, but also made it possible to everyone to create own machines. Just connect your Claude/Codex and vibecode your drive and compete with others. Crazy? Soon, every game will be like this⚡️ project0.city/#383
Two days. That's how long it took me to rebuild F-Zero X, my favourite N64 game as a kid. I played, Claude Code built, my workflows made the art, animations and vfx. Then I lost hours just racing it. Anyone can make something like this now. Play: project0.city/#383
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Peter Xing retweeted
This is MASSIVE: Biohub just announced a $1.8 billion effort to build open datasets for virtual cells. And look at the partners: Google DeepMind. Isomorphic Labs. Meta. The US Department of Energy. The National Institutes of Health. The data is intended for scientists worldwide to use. I have followed this initiative since its launch in April. Here’s what you need to know. 🧵 (1/7)
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Peter Xing retweeted
Since yesterday, GTA V in the browser has been going viral. But there are even more interesting games you can play directly in your browser. No Steam. No huge downloads. Here are 7 worth trying: 1/ Counter-Strike 1.6
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Peter Xing retweeted
Introducing Hermes Index: an average of benchmarks measuring model performance in Hermes Agent. Our goal with Hermes Index is to better inform users choosing between models and to show labs how they perform in Hermes. portal.nousresearch.com/benc…
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Peter Xing retweeted
Huawei says there will be 900 billion active AI agents worldwide by 2035, roughly 100 times the projected 9 billion human population.
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Andrew Huberman on why Meta, OpenAI, and Anthropic are all going to become biotech companies. "Dario came up through neuroscience. Sam, I've spoken to, is extremely smart about the neuroscience, as is Zuck. The technologists who used to just engineer stuff, they're becoming neuroscientists...and I think most people don't realize that. They will all tell you, 'Okay, here's the goal. The goal is to be able to read and write from your brain non-invasively.' Even just for things like drive and motivation, a non-invasive device where you could literally crank up your level of motivation by stimulating the nucleus accumbens and related pathways while engaging in a particular learning task or in hard work, and then turning it off so that you can capture more energy. That's coming, and those companies are all about that. That's what the real arms race of AI is about."
My conversation with Andrew Huberman (@hubermanlab). I didn't expect us to spend so much time on the frontier of neurotechnology, and how we'll soon be able to precisely measure and change our brain states, both awake and asleep. It was fascinating. Also discuss: - Building and keeping energy - How to downshift and fall asleep quickly - Neuralink and BCI - The state of health media - Following your curiosity This was a fun one. Enjoy! Timestamps: 0:00 Intro 1:00 Building Energy for High Performance 7:00 How to Fall Asleep 18:10 What’s Gone Wrong With Health Optimization 24:10 AI Companies Could Become Biotech Companies 30:45 Implantable Devices 33:45 Memory 42:50 Controlling Your Brain 59:00 Genetic Engineering 1:11:05 The Key to Meaningful Success
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You've never hit a 360 No-Scope on Tony Hawk's Minecraft Warfare 2?
I JUST HIT MY BEST SHOT!!!!
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Peter Xing retweeted
the chances of you living semi-forever just went up by 40%.. this is the moment I needed to see
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BREAKING: SpaceX, $SPCX, is in talks with banks and investors to raise $40 billion of debt to buy chips from Nvidia amid "insatiable demand" among AI developers, per Bloomberg. The company is seeking to raise about $10 billion in bank loans and $30 billion in investment-grade debt to pay for the chips. The AI Revolution is even stronger than most people realize.
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Peter Xing retweeted
Ben Affleck reveals he writes Python, understands convolutional neural networks, worked extensively with GPUs, and used his celebrity status to get private looks at Google and OpenAI’s video models “I’ve always been kind of into computers since I was young. Then, when film started to move from analog film to digital, I became more interested in that aspect of it. The visual-effects workflow for many years has included machine learning, so I can write pretty shitty Python scripts and stuff like that. “With convolutional neural networks, which were the precursors to what the transformer can do, which is much more computation simultaneously, you would do things like look at what’s called a tensor. That’s the numerical translation of a visual image in numbers, like the batch number, the frame number and the red, green and blue values of each pixel in each frame. It’s just that simple. That numeric is called a tensor. “You’d use a convolutional neural network to identify patterns that reveal what’s called edge detection or feature extraction, which is identifying patterns well enough to know, this is where the window ledge is, so we can more easily take the green-screen image out and replace it with something. “That was familiar to me early on because, prior to Artists Equity, I had a small visual-effects company. I’ve worked with GPUs a lot too. The visual-effects guys said, ‘Hey, you should see. There are a couple: Google and this other company, OpenAI, are doing really interesting stuff with transformers in video.’ “I’ve learned that I can actually just call up and go, ‘Hey, it’s Ben Affleck. Can I come see what you’re doing?’ Sometimes people say yes, to my astonishment.”
$ANET Andy Bechtolsheim says AI has made optics demand about 10 times bigger in five years and the industry is only at the "very beginning" "So I guess I don't need to tell you that AI has been driving this incredible increase in demand for high-speed optics, which is probably now 10 times bigger than it used to be five years ago..." "And what I want to talk to you today is that we're not at the end of this journey, but rather the very beginning. There's easily another order of magnitude increase in bits needed for the next generation kind of data centers." "So what I want to talk about first is what's happening at the data center level, and how we as an industry have to get together to solve these problems of this very rapid and high demand growth as fast as possible, since AI can't wait." ______ For full set of takeaways to Andy's AI Datacenter and Optics lecture: firesidealpha.substack.com/p…
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RT @levelsio: There's a reason I've been porting so many classic games I liked to web with WASM and why this is taking off now I think Bec…
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Peter Xing retweeted
Sam Altman: “This was the year that AI got smarter than us.” “That’s a big moment.” “Life goes on, but something fundamental has changed.” “I don’t know how sci-fi it’s gonna get. No one does.” “Are we living forever in computers? Do we just cure a bunch of disease?” “These questions are no longer theoretical.”
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Peter Xing retweeted
DistScene- turns a single image into an editable 3D scene. Uses sparse voxels, sparse DiT flow-matching models + LoRA. Based on TRELLIS.2 object-centric refinement restores details coolbeam.github.io/DistScene…
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Peter Xing retweeted
Mathematical reasoning will transfer to any area that requires reasoning and building intuition over a complex domain. It might be that AI will not have all the necessary data to make the right conclusions in some cases, but it will be filling in all the necessary holes in data with high sample efficiency, just like humans. Superhuman intelligence is here, and the same model that solved all these problems will be great at all other scientific and reasoning-bound tasks.
What if the jagged frontier is mainly math + code (which you can push arbitrarily far with RLVR), and everything else starts to plateau because it is still bottlenecked by human generated data? Model performance in non-verifiable areas has kept improving steadily, albeit much slower than for math and code. But is that steady improvement a side effect of a higher G (itself driven by RLVR), or only a function of the amount of new human data getting injected into training (which is still continually happening on a massive scale)? A lot of things depend on the answer to this question
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Peter Xing retweeted
🏸 Human vs. robot on the badminton court! A player takes on a mobile robot in a clip shared by a Zhejiang robotics company.
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