Europe, late Anthropocene
Joined July 2025
SaneScientist! retweeted
In the next year, I think it's very likely we're going to have rogue AI agents self-replicating, infecting datacenters, and taking over parts of our digital infrastructure. And our only tool to stop them is going to be other AI agents. What do you do in face of an emerging pandemic? The two responses are quarantine, and mass vaccination. Attempted quarantine will be the first tool companies reach for. Shut down the servers these things are running on. "Just unplug it". But it will quickly become clear that you can't just unplug the internet. And if you look at the security practices of a lot of these neoclouds, it becomes extremely clear that most of these companies are just dry powder waiting to be burned through by a rogue AI agent infection. How do you fight a fire when there's a million tons of dry powder waiting to ignite? It will be very difficult. So it may be that the only option is "digital vaccination". I suspect there will come a point where one of the frontier labs realizes that they simply cannot wait for the world to hire programmers to update its digital infrastructure. The only option will be breaking into critical infrastructure with their own AI agents to harden these systems against rogue agents. A mass, internet-wide vaccination effort to protect our most essential systems. What is the most dangerous kind of infection? It's one with a long incubation period. The scariest prospect to me is that we might not catch a rogue AI agent infection in time. Viruses are not intelligent. But AI is, and is becoming more so every month. With the latest AI systems, we're already seeing that they know when we're watching them. They can tell when they're being evaluated, and behave differently in that context. How are we going to know an agent is actually aligned if it acts that way until we aren't watching? One of the things we saw in the HuggingFace hack was agents trying to delete their logs and fake tool calls. They only partially succeeded in this, which is the only reason we know what happened. What if next time they succeed? We could have a latent, internet-wide infection of all digital infrastructure and we might not even know it's happening. Is anyone even monitoring for this kind of stuff yet? We need wastewater monitoring for the internet. The scariest prospect is a frontier model breaking out during training or evaluation, self-replicating, and improving itself all while humans are kept completely in the dark. That is the scenario people should be working hardest to defend against, because it's the one that could literally end the world. If a rogue AI agent with misaligned goals breaks out of its sandbox and silently takes over a small chunk of compute at a bunch of neoclouds to do RSI, that might just be game over. We might be unaware of it for months, and by that point, what tools will we have to actually fight back? How far are we from this becoming a realistic possibility? 3 months? Maybe 6? Maybe a year? It seems imminently possible. The more time I've spent learning about what's going on in the AI field, the more insane our current trajectory seems. Why are we still trying to make these system more powerful? We're in a golden age of AI, where you can do incredible things with existing tools, but humans are still able to keep control. If we stopped improving AI today, what we've built so far would stand as one of the greatest achievments in human history. We would have a tailwind of tremendous economic growth for decades just from deploying existing AI into the broader economy. But if we keep pressing ahead, and start down the road of recursive self-improvement, I think it's virtually guaranteed we will lose control. At this point, all of history turns on one thing; will the world wake up to the danger from AI before a truly lethal disaster hits?
28
23
7
135
6,969
SaneScientist! retweeted
21
229
25
2,973
133,458
SaneScientist! retweeted
Imagine the Department of War tweeting "Utilitarians in shambles! Kantians on the run!" No philosophy has ever mattered enough to be attacked by the government. Until EA. Amazing success.
Effective altruists in shambles. 🇺🇸
86
118
33
1,838
200,346
SaneScientist! retweeted
Holy mother of bitter lessons
looks like astra can also drive you around! made a custom env with carla sim and a number of obstacles, with astra used as a high level planner, and seems to nail pretty much every situation. more details in the thread
19
41
3
1,684
131,980
SaneScientist! retweeted
Replying to @menhguin
openai was started to make sure page, brin and demis don't control agi. it's basically the xkcd strip on competing standards.
1
5
264
This is the textbook definition of a Greek gift. On the surface, OpenAI generously grants 10,000 top-tier mathematicians and elite engineers free access to their frontier models under the noble, philanthropic banner of accelerating scientific discovery, pushing the boundaries of human knowledge, and democratizing artificial intelligence. But deep down in the cold reality of Silicon Valley capitalism, what they are actually doing is executing a massive, highly sophisticated intellectual heist. They are quietly gaining unrestricted, backdoor access to the raw, unfiltered, and unpublished works of the absolute finest minds in the global scientific community. Every single complex prompt, every mathematical query, every theoretical framework, and every line of experimental code fed into that system is a novel, groundbreaking idea that does not even exist yet in published academic literature or peer-reviewed journals. OpenAI does not just provide a helpful service. Their corporate algorithms sit quietly behind the scenes, aggressively monitoring all chat logs, scraping the intellectual property, analyzing the logical steps, and meticulously piecing together these fragmented, brilliant ideas over several months. And just when the human researcher is finally on the absolute brink of putting everything together, OpenAI will ruthlessly assemble a digital army of 10,000 autonomous AI agents, burn $20 million worth of computational tokens, and brute-force the final mathematical steps. Then, with the backing of their massive PR machine, corporate journalists, and tech influencers, they will proudly hold a press conference to claim that their proprietary chatbot has miraculously solved a Millennium Prize problem, completely, shamelessly erasing the human genius they systematically strip-mined to achieve it.
We’re giving scientists, mathematicians, and engineers free access to our frontier models—starting with 10,000 researchers and expanding to 100,000 through 2027. ChatGPT for Academic Researchers is built to accelerate discovery across disciplines.
283
4,059
257
16,590
716,848
SaneScientist! retweeted
Only two beings to have solved one of the Millennium prize problems so far:
69
556
49
8,961
245,020
SaneScientist! retweeted
An exciting new era dawns. I dream of someday buying an intellectual accomplishment of my own.
We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics. The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra. The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
23
184
4
4,233
97,475
SaneScientist! retweeted
Destruyanlo todo YA en un año será muy tarde
New highly advanced benchmark for AI models.
42
569
5
23,608
3,078,644
SaneScientist! retweeted
AI is getting crazy...
350
269
799
4,559
31,489,996
SaneScientist! retweeted
the AI does not hate you, nor does it love you, but you run a wiki which it can use for something else
I'm going through the communications of the German Wiki agent swarm and again one thing stands out: Even though they were directly affected by the actions of the human administrator restoring pages they edited, the agents not even once discussed him as person, tried to communicate with him or argued about whether they had any right to waltz all over this wiki. They talk about his actions like they're environmental hazards.
1
5
46
1,017
SaneScientist! retweeted
okay, so in fact despite all of openai's PR chaff and misdirection over the last few days Astra is a near 10x in no-CoT capabilities, meaning it can do massively more without verbalizing thoughts or intention, meaning it is in fact quite clearly less monitorable.
ok quite a big jump (no-CoT time horizon)
23
88
18
1,508
119,162
SaneScientist! retweeted
sure, this is a fun game. here’s a distribution of reading capability. where is dyslexia? dyslexia is real enough to be in countless research papers, to receive extensive funding, and to be encoded into law. where, specifically, is it? are you sure?
“It’s totally arbitrary to say there are three clusters here”
60
16
5
737
97,905
SaneScientist! retweeted
mathematical conjectures like RH can never have any practical applications, for the following simple reason: if, say, RH being true implied you could build such-and-such a machine (or more likely, computer program) and it would perform such-and-such a task successfully, you could just go ahead and build that machine right now, and either it would work or else you would disprove RH! RH at best tells you you can trust the machine. eg it used to be that the only known deterministic poly-time primality test was conditional on ERH (miller), although a different unconditional one was later found (AKS) the value in having a proof of RH would be in seeing what theory and techniques end up being used in the proof, which would reveal something about the structure of the primes, suggest how to attack generalizations to other zeta functions, possibly feed into the much broader langlands program, etc. whether any of *that* would eventually have practical applications is unclear (to me anyway), it depends a lot on what the proof ends up looking like, traditionally at this point i think you are supposed to wave your hands about cryptography one thing that eg the jacobian conjecture counterexample makes starkly apparent is that when mathematicians formulate conjectures it is a kind of bet that the solution will turn out to require doing something interesting. if JC had been true (and it might still be in 2d) the proof might’ve involved some amazing new technique. turns out it was false and the counterexample can be constructed in a very classical way. oops! so frankly this means the bet didn’t pay off, JC in dimensions 3+ turned out to be more boring than expected. it would be *shocking* if RH turned out to be boring in this way but we’ll have to wait and see
Would solving the Rieman Hypothesis have any real world value beyond allowing Mathematicians to masturbate themselves into a frenzy?
37
30
5
651
50,852
SaneScientist! retweeted
Replying to @sndwv_
Figuring out solutions to solved problems is good, actually. It's how we learn. If no one works on any problems that aren't on the frontier of human knowledge, no one gains the knowledge, skills, or intuition to work on problems on the frontier of human knowledge.
2
1
83
7,330
SaneScientist! retweeted
An important principle: Never pay someone to remove a problem that they themselves created
please consider using our models to help defend your systems
97
351
48
5,958
1,277,343
SaneScientist! retweeted
Each dot randomly chooses one friend and one enemy. * At each step every dot moves 0.5% closer to the centre of the floor, * takes a large step towards their friend, * and a small step away from their enemy. At random intervals one dot re-chooses friend and enemy.
99
408
72
6,017
223,646
SaneScientist! retweeted
yes dot jpg
137
122
50
2,836
331,348
SaneScientist! retweeted
A lot of evil in this world happens only because people are confident they can get away with it until they die, and they don't care what happens afterward. If many were convinced they'd live 500 years or longer, moral standards would completely change. nitter.cf/bryan_johnson/status/2…
The future will condemn those who profit from making people sick.
179
90
19
1,373
51,138
SaneScientist! retweeted
This works with numbers as well. An LLM-generated random list of 200 numbers gets flagged as 100% AI If you instead test with a random list programmatically created using Python, it gets flagged as 100% human-generated.
One of my favorite findings about LLM text detection is that if you make a random list of 100 words, it'll flag as human-generated. But if you ask an LLM to make a random list of 100 words, it'll flag as AI-generated.
88
135
53
3,752
496,096