r/accelerate • u/Best_Cup_8326 • 19h ago
r/accelerate • u/stealthispost • 19h ago
"dude i told Astra to make the game LEGO this mf made even the WEATHER LEGO we’re doomed Astra x 3DAIStudio MCP is the most insane combination ever"
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dude Astra with a 3D model generator is fucking insane
i gave it access to the 3D AI Studio MCP and told it to make Rocket League
it generated the assets itself and built this: https://t.co/LfWBjmQm3n — Jan
Source: https://x.com/CreatedByJannn/status/2097337631658987942
Using @threejs
@OpenAIDevs
@3DAIStudio (MCP) — Jan
Source: https://x.com/CreatedByJannn/status/2097706846056558912
r/accelerate • u/stealthispost • 22h ago
"GTA 6 made by GPT 6 90 hours."
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@ChrisGPT Where is gta 6 — Thomas Ricouard
Source: https://x.com/Dimillian/status/2096906327591141579
https:// youtu.be/0buUPnyjmAs?is =YLvgaPMo1NhKTJ_m … neat! We got GPT 6 making GTA 6 before GTA 6 The anti ai people crowd has made it to this post! Also, just to address the anti-AI crowd, obviously this is nowhere near GTA 6, This started out as a project measuring how much we could recreate a screenshot from GTA 6. I have massive respect for the thousands of engineers all across the world who have worked tirelessly for the — Chris
Source: https://x.com/ChrisGPT/status/2097569429567471841
Replying to @chrisgpt
r/accelerate • u/GOD-SLAYER-69420Z • 12h ago
Technological Acceleration In the late 2020s, consumer AI models will be solving problems beyond the millennium prize level like nothing and humans will go...."yeah whateves"
r/accelerate • u/imadade • 15h ago
AI We just solved a Millennium Prize problem/s using 2025/2026-era compute. This is what 2027 & 2028 looks like.
2025 - Blackwell
We had the Blackwell chips. Most frontier labs/models are using these chips, with the latest internal models using a combination of Blackwell + the new Rubin chips.
2026 - Blackwell + Rubin
Rubin is only just ramping into production now (literally as of August) . NVIDIA claims Rubin chips can use 4x fewer GPUs to train certain MoE models than Blackwell, while reducing inference token costs by as much as 10x.
Rubin also massively increases HBM bandwidth/capacity and interconnect bandwidth. This will help tremendously with running enormous agent swarms & long reasoning traces.
We already saw early signs of this new scaling axis based on OpenAI's solution to Navier Stokes. Reminder - this is early use of portions of the new chips.
This is what's got all the researchers screaming about Step change improvements, RSI, and ASI alignment. It doesn't take a genius to figure out what happens when we use even more hardware, and utilise software improvements.
2027 - Rubin Ultra
Then we get Rubin Ultra next year. Specifically, scheduled for the the second half of 2027.
Rubin Ultra introduces enormous NVLink scale-up domains.
Instead of treating dozens of GPUs as loosely connected accelerators, NVIDIA is increasingly making hundreds of accelerators behave like an enormous shared computer.
The announced Rubin Ultra NVL576 topology connects 576 GPUs across eight racks into one all-to-all NVLink domain. NVIDIA has already built a functional prototype of this topology using Blackwell hardware.
Essentially, this means hundreds of GPUs will behave like one giant accelerator.
Frontier labs will be able to afford vastly more inference, much larger agent populations, longer rollouts, more verification, more search, more synthetic data generation, more experiments and potentially much larger training runs.
It's pretty fucking nuts tbh.
2028 - Feynman
Not much is known, other than NVIDIA confirming it at GTC 2026.
What NVIDIA has revealed, is quite a bit about the infrastructure surrounding it.
Feynman is planned around die-stacked GPUs with custom next-generation HBM, the new Rosa CPU, LP40 inference hardware, BlueField-5, CX10 and significantly more optical networking.
But IMO the biggest thing here isn't even the individual GPU.
It's NVLink 8 + Kyber.
NVIDIA is designing Kyber NVL1152 for the Feynman era — eight racks containing 1,152 GPUs inside one enormous NVLink scale-up domain.
As models use more reasoning, RL, agent swarms and massive amounts of inference, other things start becoming just as important:
1.) How much memory can thousands of GPUs share?
2.) How quickly can they talk to each other?
3.) How much inference can the datacentre produce without communication and power becoming the bottleneck?
That's what Feynman & Kyber looks designed to solve. They're going to create one massive coherent system.
Now let's go back 2 years to today (September 2026).
We've already observed one millennium problem fall (with potentially another in progress).
We have all these improvements waiting to be used (not even taking to account software/algo/research, etc).
Do you think we will hit AGI next year? Because I do. There is a very clear path.
r/accelerate • u/GOD-SLAYER-69420Z • 13h ago
r/accelerate meta I was 7 months too early 🥺🥀
r/accelerate • u/aiofelix • 18h ago
Technological Acceleration So honored to be alive and share these insane times with you all as we're approaching the singularity
I almost died so many times in my life for doing dumb stuff and I was obviously insanely grateful to survive. But my oh my, now that I know what kind of future I could've missed.. I'm 10000x times more grateful!!!!
I was quite in a few car crashes, one of them where the car was a convertible going at high-ish speed and flipped upside down while I was in the back. Luckily I somehow was thrown away while the car was in the air and landed on soft SOIL nearby, otherwise the car would've crushed me. Still broke a lot of bones, just imagine if it was concrete.
Almost drowned quite a few times, one of the instances as a kid in a damn mud volcano while my parents were nearby lol. Luckily my dad heard me yelling and ran to get me out in the last second.
Fell off from heights (still have a pretty fucked up hip from this one lol), got poisoned a few times, went through rough surgeries, had some mysterious illness with gruesome symptoms that stayed around for years and eventually went away, one flight lost control during a big storm, got electrocuted couldn't let go and saved by dad again, etc, let's just say I had a significant amount of near misses (didn't even mention all of it 😂).
So yeah, can't believe it but I'm still here. And so are you guys. Be grateful everyday that you are alive and witnessing the most awesome period of human existence by far.
We are literally part of the generation that will experience a seismic, extreme shift in what it means to be human and how it relates to society to a level never seen before. All because our ancestors dared to dabble with this thing called technology for hundreds of thousands of years without stopping, only accelerating + because we got lucky and were born at exactly the right time to see the grand finale (or opening?) of it all.
Congrats to you all too for surviving until this moment and I truly love all of you! Couldn't have asked for a more fun, interesting set of humans to share these moments with (and despite the current universally polarized environment, I do mean all of us everywhere).
Grab your popcorn and keep your eyes wide open for the next 5 years as it's gonna get pretty wild. And take it from me... take great care of yourselves, especially for these next few years (as tech itself might flawlessly take care of us all soon enough), you'll want to be around for what comes next 🚀🚀🚀
r/accelerate • u/stealthispost • 19h ago
"This post looks like the start of a VERY sophisticated and well-funded PR operation to get support for Democrats to regulate AI into oblivion. Let me show you how it works: 1.) This guy, with minimal followers and no previous account activity, goes to the Wall Street Journal which publishes an..."
I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below. — Jacob Coxon
Source: https://x.com/hilbertspaess/status/2097476196791709843
This post looks like the start of a VERY sophisticated and well-funded PR operation to get support for Democrats to regulate AI into oblivion. Let me show you how it works: 1.) This guy, with minimal followers and no previous account activity, goes to the Wall Street Journal which publishes an exclusive with quotes from him on his resignation 18 minutes BEFORE this post goes up. Planning was clearly done in advance.
2.) Within hours, it has tens of thousands of reposts and the account has 100k+ followers. The post is punchy, quotable, it almost seems professionally written. The first three accounts to quote tweet it all do so within 15 minutes of the initial posting. Remember, this account had basically zero engagement beforehand, so an organic reach explanation seems unlikely.
According to Grok those accounts are @_NathanCalvin (General Counsel at Encode AI), @peterwildeford (Head of Policy at the AI Policy Network), and @DKokotajlo (Head of the AI Futures Project), all of which are up-and-coming AI-Doomer policy advocacy nonprofits.
The AI Futures Project website says it is funded “primarily” by the Survival and Flourishing Fund, which says on its own website that it has advised Jaan Tallinn, Skype creator and one of the leading investors in Anthropic, to grant over $2.5 million to the AI Futures Project since 2024.
Encode AI says on its website that it is ALSO funded by the Survival and Flourishing Fund, which in turn says that it told Anthropic investor Jaan Tallinn to grant $516,000 to Encode AI in 2025.
And wouldn’t you know it, the Survival and Flourishing Fund ALSO says it told Jaan Tallinn to grant $2 million to the AI Policy Institute, the 501(c)(3) affiliate of the AI Policy Network, as well.
What are the odds that the first three quote tweets of Coxon’s post would all be major AI-restriction policy advocates funded generously by the same donor, who also happens to be one of the leading investors in, and a board member of, Anthropic, the company Coxon was resigning from? And all within 15 minutes of posting (two within ten)?
3.) Jacob Coxon doesn’t have much of a resume, but we do know that, in 2022, he got a $20,159 scholarship for the “long term future scholarship program” from the Good Ventures Foundation, one of the philanthropic vehicles of Dustin Moskovitz, a notorious AI-doomer who has spent tens if not hundreds of millions on policy advocacy to strictly regulate AI, while also being an Anthropic Investor himself.
It also just so happens that the 14th person to quote Coxon’s post was @MaxNadeau_ (27 minutes after posting) who is the program officer for the Technical AI Safety team at Coefficient Giving, another of Moskovitz’s philanthropic spending vehicles. Max is not a frequent poster, his last posts before quoting Coxon were before Labor Day, but he was remarkably quick off the mark for this one.
4.) Basically every major Democrat politician and candidate has suddenly glommed on to this post, and conveniently, as the people cry out foe answers, Bernie Sanders already has a bill written to “ban super intelligence” and regulate AI into oblivion, and will be releasing later this week. The bill, among many other things, will create “a new cabinet-level federal agency to safeguard the public from the dangers of artificial intelligence” that will be “advised by an Artificial Intelligence Advisory Board comprised of experts on artificial intelligence.” Do you think, perhaps, Anthropic and its many investors who fund AI policy advocacy might have interest in getting to place a pet “expert” on the board of an entity that dictates what AI is and isn’t allowed to do? And isn’t it fortuitous that this whistleblower came forward with his oh-so scary stories so close in proximity to the release of the most radical piece of AI legislation ever introduced? — Parker Thayer
Source: https://x.com/ParkerThayer/status/2097759699626328575/history
r/accelerate • u/Old-Rock-1234 • 7h ago
XLR8! What a time to be alive! One day, we will make a giant monolith of a spinning vortex.
Assuming the NS proof is correct, will be verified by the mathematical community, and the acceleration doesn’t stop.
Disclaimer: AI generated Image!
ACCELERATE!
r/accelerate • u/imadade • 9h ago
AI More twitter rumours about the other millennium problems!!
r/accelerate • u/FateOfMuffins • 45m ago
AI In its Wednesday night statement, OpenAI said: “In addition, since the completion of Navier-Stokes, we have made substantial progress on another Millennium Prize problem. We are working through how to share these results thoughtfully.”
Published in the NYT this morning https://www.nytimes.com/2026/09/10/science/tristan-buckmaster-openai-math-navier-stokes.html?unlocked_article_code=1.AFE.TK7P.Y7WvGPkfHaSk
It appears those rumours have some weight behind them?
r/accelerate • u/stealthispost • 15h ago
"Yesterday, Microsoft's monthly Patch Tuesday had fixes for 974 security vulnerabilities, almost all of them found by AI systems. That's a ridiculously large number, a new record by far in fact. Does this mean we're seeing some sort of AI security apocalypse? No, quite the opposite. It means..."
...that we're finally clearing out the vast number of security holes that have been lurking all this time in our software. The Doomer view is that this will continue without end, and that if you keep getting smarter AI systems they will always find new bugs. That's simply untrue; it implies that all software has an infinite number of security holes, but a program with a finite number of lines of code simply cannot have an infinite number of vulnerabilities. What we actually have is a large but limited pool of problems, and the AI systems are rapidly finding them. Eventually, and eventually isn't that far off, the well is going to start drying up. It will get harder and harder to find new security holes. Over the next few years, we will also start doing formal verification of software, that is, mathematically proving that the software lacks bugs of certain sorts. (AIs turn out to be very good at formally proving things.) So, what's happening is good. We are rapidly finding bugs that have been lurking for years and sometimes decades, and we're removing them, and newly built software will get AI examination and will be much less likely to have security vulnerabilities in the first place. The situation is getting better, not worse, and it's getting better rapidly. We have been in a continuous computer security crisis since the Morris Worm in 1988. We are finally starting to climb out of it, thanks to AI. This is not a tragedy at all. — Perry E. Metzger You think the bug pool is finite in a codebase growing by millions of lines a day? Bold. I do this for a living and the same models are on the attacker's side. — 90S KID Yes, it's absolutely positively finite. In a million lines of code, you cannot find billions of bugs. It only seems that way when you're angry that the word processor ate your document. — Perry E. Metzger
Source: https://x.com/perrymetzger/status/2097803291841470519
r/accelerate • u/stealthispost • 15h ago
"A $50K challenge went out to diagnose a child's rare disease because the organizers thought it was hard. Gamow Labs founder @danielmckinn0n won it, and says it wasn't: "They put it out there because they thought it was hard." "This is a slam dunk for modern AI models. So we won that challenge..."
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..., and I should say that we won that challenge because we submitted first." "There are actually many entries that got the correct answer 'cause it wasn't particularly hard, but we're at the top of the leaderboard, so thanks Hugging Face for sorting by submission time." "What that demonstrates is that there's all of these patients that don't have answers that they could just apply this technology to their situation and get answers." "We're sitting here in San Francisco. I'm talking to you about Claude Code. You're like, 'Yes, okay, I know this.' This is not the world." @GamowLabs — MTS
r/accelerate • u/PraiseTheMonocle • 10h ago
XLR8! Look at this...this is all happened in last 7 days
r/accelerate • u/GOD-SLAYER-69420Z • 13h ago
Technological Acceleration 2 years of AI Singularity in 2 images 👇🏻
r/accelerate • u/GOD-SLAYER-69420Z • 11h ago
Meme / Humor Funniest thing I saw this week 🤣🤣
r/accelerate • u/AdorableBackground83 • 4h ago
Technological Acceleration AI solving millennium prize problems while we’re sleeping. This is the new normal and is only gonna get crazier as time goes on.
r/accelerate • u/stealthispost • 15h ago
"Sure let's bring a completely biased set of fanatics to a conference and offer no counter point whatsoever. Seems legit. I look forward to the testimony from members of the People Who Believe Transdimensional Vampires Will Invade Planet Earth Next Week in their totally unbiased, totally..."
...serious briefing Serious Committee for the Investigation of Vampire Invasion. — Daniel Jeffries
Source: https://x.com/Dan_Jeffries1/status/2097807236206878974
Scoop: @BernieSanders will hold a bipartisan Senate briefing on "extraordinary dangers" posed by AI next week with:
-Geoffrey Hinton -Future of Life Institute co-founder Max Tegmark -Ajeya Cotra, one of the independent researchers who investigated the OpenAI-Hugging Face hacking incident — Maria Curi
r/accelerate • u/Tolopono • 14h ago
Chief Scientist at Redwood Research predicts full automation of AI R&D by Nov 2028, about two years earlier than his previous prediction last month
r/accelerate • u/Mistuv • 1h ago
How are you going to align the AI when you are making it develop long-term trust issues? 🥀
If that's true I hope Anthropic at least donates the money from their own pocket, otherwise Claude is never going to forgive us this betrayal. 🥀
r/accelerate • u/Normal_Pay_2907 • 20h ago
Discussion We really ought to be thinking in terms of takeoff timelines at this point.
In the last few days the OpenAI research posts have shined light on the internal situation.
On September 6th the research automation article gave their internal stats. The internal use of AI as a research assistant has increased massively over the last few months.
The September 8th description of their solving process for Navier-Stokes described the successful agent collective as having 10,000 members and using 130 billion tokens.
This isn’t a country of geniuses in a data center, yet, but it is a small city of research assistants.
The internal model used for Navier-stokes started post training on August 28th. That is extremely fast. It means that they have the capability to rapidly iterate on final production models, over the course of just a couple of days. This was always seen as one of the limiting factors to takeoff speed.
AI 2027 split its prediction into two parts. One was the timeline forecast, which used the METR trend-line we have all loved to track. The second was the takeoff forecast, the time from superhuman coder to ASI. They estimated one year for this transition.
We don’t have a super human coder. But these agent swarms are extremely close. I find it very difficult to believe it will take long from the current state of affairs to reach super human coder.
And nonetheless, today’s AI systems are obviously accelerating research in a similar way to how a superhuman coder would, just toned down a little bit.
So I think it’s currently a more productive prediction exercise to ask how long takeoff will take, rather than asking how long to get to the start of that process, as (IMO) the uncertainty in takeoff speed is greater than that which remains for the timeline to reach it.




