Sunmi retweeted
An internal version of Astra, @OpenAI’s next major model family, solved 10 major open problems in mathematics, quantum complexity, and theoretical computer science.
We believe it will be a major step for scientific reasoning. openai.com/index/ten-advance…
Sunmi retweeted
Yes, but nothing compares to the feeling of knowing the metal box your AI lives in is yours. Forget home ownership, owning a datacenter is the new American Dream.
How many more "SOMEONE JUST ONE SHOT THIS WITH KIMI K3" posts do I have to see
What's worse is that these posters never make their own stuff, they take someone else's work and post it
Then there will be "10 crazy use cases of kimi k3" which is simply a thread of reshares. kms
Sunmi retweeted
What if Studio Ghibli directed Lord of the Rings?
I spent $250 in Kling credits and 9 hours re-editing the Fellowship trailer to bring that vision to life—and I’ll show you exactly how I did it 👇🏼
Sunmi retweeted
“500 billion? Did I hear that right Masa?”
“Yes brother. All for you. It’s all for you.”
The best part of the new stargate 500B initiative is people mistakenly buying MGX's (Metagenomi, Inc.) stock, a completely unrelated biotech company, whose stock was up 30% at one point 😂
finance.yahoo.com/news/peopl…
Sunmi retweeted
I have been against a TikTok ban for a long time, because it goes against freedom of speech.
That said, the current situation where TikTok is allowed to operate in America, but 𝕏 is not allowed to operate in China is unbalanced.
Something needs to change.
Sunmi retweeted
You guys I'm seriously freaking out about the implications of what we're seeing. The implications are staggering, to say the least.
Okay, we know what Ilya saw, and it wasn't just Q* and Strawberry. That was the first step. What he really saw was the oscillation between these three steps:
1. Scaling laws of training and compute. We can reliably predict how much data/compute are required to get to the next level of AI models.
2. Inference time compute scaling laws. Letting the models think longer (spending more tokens on thinking and such) yields orders of magnitude improvements.
3. Distillation, which is where you use one "teacher model" to train the next generation "student model" which is sort of like going from a pidgin language to a true creole language. (magically better)
Combine that with increasing evidence that AI is generalizing beyond its training distribution and it's GAME OVER. This is it.
But that's not even the best part.
It seems like every AI shop figured this all out at the same time. There is no moat. ASI will be for everyone.
Can't wait to try this open source generative physics engine, looks insane 🤯
Everything you love about generative models — now powered by real physics!
Announcing the Genesis project — after a 24-month large-scale research collaboration involving over 20 research labs — a generative physics engine able to generate 4D dynamical worlds powered by a physics simulation platform designed for general-purpose robotics and physical AI applications.
Genesis's physics engine is developed in pure Python, while being 10-80x faster than existing GPU-accelerated stacks like Isaac Gym and MJX. It delivers a simulation speed ~430,000 faster than in real-time, and takes only 26 seconds to train a robotic locomotion policy transferrable to the real world on a single RTX4090 (see tutorial: genesis-world.readthedocs.io…).
The Genesis physics engine and simulation platform is fully open source at github.com/Genesis-Embodied-…. We'll gradually roll out access to our generative framework in the near future.
Genesis implements a unified simulation framework all from scratch, integrating a wide spectrum of state-of-the-art physics solvers, allowing simulation of the whole physical world in a virtual realm with the highest realism.
We aim to build a universal data engine that leverages an upper-level generative framework to autonomously create physical worlds, together with various modes of data, including environments, camera motions, robotic task proposals, reward functions, robot policies, character motions, fully interactive 3D scenes, open-world articulated assets, and more, aiming towards fully automated data generation for robotics, physical AI and other applications.
Open Source Code: github.com/Genesis-Embodied-…
Project webpage: genesis-embodied-ai.github.i…
Documentation: genesis-world.readthedocs.io…
1/n
Sunmi retweeted
Let’s have a good old fashioned GenAI steak-off! 🥩
This test is very challenging for AI models. Hands, consecutive slicing physics & movement, interpretation of ‘steak done perfectly’, steam, juices, etc.
Who did it best? Who’s your top three?
Sunmi retweeted
How Libra Was Killed.
I never shared this publicly before, but since @pmarca opened the floodgates on @joerogan’s pod, it feels appropriate to shed more light on this.
As a reminder, Libra (then Diem) was an advanced, high-performance, payments-centric blockchain paired with a stablecoin that we built with my team at @Meta. It would’ve solved global payments at scale. Prior to announcing the project, we spent months briefing key regulators in DC and abroad. We then announced the project in June 2019 alongside 28 companies. Two weeks later, I was called to testify in front of both the Senate Banking Committee and the House Financial Services Committee, which was the starting point of two years of nonstop work and changes to appease lawmakers and regulators.
By spring of 2021 (yes they slow played us at every step), we had addressed every last possible regulatory concern across financial crime, money laundering, consumer protection, reserve management, buffers, and so much more, and we were ready to launch.
We had worked on a slow rollout of a limited pilot that some members of the Fed’s Board of Governors were supportive of. At last, Chair Jay Powell was ready to let us move forward in a limited way. The story, as I heard it, is that Jay Powell was told by Treasury Secretary Janet Yellen at one of their biweekly meetings that allowing this project to move forward was “political suicide,” and she would not have his back if he let it happen. I wasn’t in the room when this conversation happened, so take these words with a grain of salt, but effectively this was the moment Libra was killed.
Shortly thereafter, the Fed organized calls with all the participating banks, and the Fed’s general counsel read a prepared statement to each of them, saying: “We can’t stop you from moving forward and launching, but we are not comfortable with you doing so.” And just like that, it was over.
One essential point is worth making here. There was no legal or regulatory angle left for the government or regulators to kill the project. It was 100% a political kill—one that was executed through intimidation of captive banking institutions. That was the hardest part of this story for me personally. Not that we had failed, but that America, this country I immigrated to and became a proud citizen of because of its rule of law and value system, behaved in such a way for political reasons. It was a very tough pill to swallow.
The bright side of the story, though, was the many learnings from this wild ride. By the end of the project, we had made so many concessions to get a thumbs-up that the whole design of the network became a Frankenstein of our initial ambitions.
We also learned the biggest lesson of all, which is that if you’re trying to build an open money grid for the world—eventually moving trillions of dollars a day, designed to be here 100 years from now—you have to build it on the most neutral, decentralized, unassailable network and asset, which, hands down, is Bitcoin.
And now this is what many of us who went through this scarring journey are building together at @Lightspark. And this time, we won’t stop until we get it done!
Sunmi retweeted
People have too inflated sense of what it means to "ask an AI" about something. The AI are language models trained basically by imitation on data from human labelers. Instead of the mysticism of "asking an AI", think of it more as "asking the average data labeler" on the internet.
Few caveats apply because e.g. in many domains (e.g. code, math, creative writing) the companies hire skilled data labelers (so think of it as asking them instead), and this is not 100% true when reinforcement learning is involved, though I have an earlier rant on how RLHF is just barely RL, and "actual RL" is still too early and/or constrained to domains that offer easy reward functions (math etc.).
But roughly speaking (and today), you're not asking some magical AI. You're asking a human data labeler. Whose average essence was lossily distilled into statistical token tumblers that are LLMs. This can still be super useful ofc ourse. Post triggered by someone suggesting we ask an AI how to run the government etc. TLDR you're not asking an AI, you're asking some mashup spirit of its average data labeler.
Fascinating to see this was only 2 years ago. A lot can change in 2 years 😂 Dems should've called off their attack on both Elon and Trump. Elon fulfilled his own prophecy
Replying to @BreitbartNews
I don’t hate the man, but it’s time for Trump to hang up his hat & sail into the sunset.
Dems should also call off the attack – don’t make it so that Trump’s only way to survive is to regain the Presidency.
Crazy roast here too, Trump's response to Elon's comment the next day
nitter.gq/WatcherGuru/status/154…































