*Husband/Father/Thinker/Writer/Pirate/Nerd *Founding CEO HavenCo/Sealand data haven *Other things I have done: https://xitter.cf/t.co/zWenOLqUu5 *e/acc doomer

New York City
Joined May 2008
"If Nobody Builds it, Everybody dies" Published by @LifeboatHQ Get enough Hardcover copies for your whole xmas list! amazon.com/dp/0998413143
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I love historical perspective on how human knowledge goes from ignorance to understanding. This was very meta because, as I read it, I envisioned doing what is described in my own wetware LLM; back propagation, adjusting weights, gradient descent, learning. And also the collective knowledge of humanity being added to, growing its own new connections. xitter.cf/0xEronn/article/211083…
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Sean Hastings 1.0 retweeted
OpenCode is currently under a sustained cyberattack, and mid-incident they ran into the same problem Hugging Face did: the frontier models they were using for defense began refusing to help fight attacking agents because analyzing the attacks started triggering safety guardrails.
Replying to @RhysSullivan
yes that was a bit frustrating mid incident when trying to investigate. they did quite a bit and then started refusing we got access to daybreak blue now so it's better
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Sean Hastings 1.0 retweeted
Is 10²⁵ FLOPs Still the Frontier? A new Anthropic-written safety bill is circulating on Capitol Hill. Some of its ideas could be reasonable if limited to true frontier companies. As written, however, it will eventually sweep in most of Silicon Valley, damaging the startup ecosystem. The bill defines the “frontier” as any model trained on 10²⁵ FLOPs — the EU standard from 2023. Biden’s executive order, California’s SB 53, and New York’s RAISE Act used 10²⁶ (ten times more). 10²⁷ is where the frontier actually is today (e.g., GPT-6 Astra). Astra was reportedly trained on 100,000+ Grace Blackwell GPUs. A 10²⁵ model can be trained on as few as several hundred GB300 chips in three months. That is not frontier in 2026. The definition is also cumulative: it adds FLOPs from fine-tuning, reinforcement learning, or other material modifications. In practice, that captures almost all meaningful post-training — work that is becoming commonplace in the enterprise. The enterprise trend is toward thousands of smaller custom models built for specific workloads. These pose no frontier risk. Treating them as frontier systems would impose large compliance costs across corporate America for no safety gain. Dario has claimed that Anthropic designs rules to disadvantage frontier companies like his own while advantaging smaller competitors. This definition does the opposite. A stale 2023 cutoff favors incumbents who already clear the bar and can absorb the costs. It hobbles the open model ecosystem that threatens Anthropic’s pricing power. The frontier keeps moving. Any definition meant to track risk should move with it. Anthropic should clarify if they really believe 10²⁵ FLOPs represents the frontier.
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I think this misses parafilias being common in cults, along with apocalypse stories. The author depicts the doomers as outside the norm thinkers, but their community structure is a historically reccurring one. That said, this makes good points and is worth reading. piratewires.com/p/inside-the…
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Sean Hastings 1.0 retweeted
This is correct. It's one of the many obvious problems with AI doomer theory. Quite parallel with the concept of revealed preferences in economics. In fact, now that I think about it, the impossibility of pre-constructing an "alignment" function is formally identical to the impossibility of pre-constructing a preference function. TIL
Replying to @jon_stokes
I think the simpler answer than this is that alignment is impossible because a utility function is a hindsight construction that an observer constructs about an agent, and not an actual thing that exists inside an agent that can be tweaked or copied or "aligned."
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Sean Hastings 1.0 retweeted
roon: “hey some pretty solid progress on the mechinterp front lately. perhaps this is a reason to adjust our priors” doomers: “doom doom doom gloom doom doom gloom doom I smart doom doom doom doom” Get over yourselves lmao you’re fucking Wordcel bloggers
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Nice! Now I can finally have the Knight Rider car with both onboard AI and turbo boost jumping.
JUST IN: Elon Musk unveils the Tesla Roadster by launching it off a ramp before the car flipped in midair and safely landed on the ground. The car is a collaboration between Tesla and SpaceX. One of the most insane things I've ever seen.
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Perfect is the enemy of good. Good is the enemy of doomer.
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I'm actually so pissed right now
Weird new click bait thing, I have seen several people (maybe bots) reposting other people’s things with the caption “I’m actually so pissed right now” and the original post is something so ridiculously mundane
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Sean Hastings 1.0 retweeted
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Sean Hastings 1.0 retweeted
interpretability might be the most important scientific problem in the world right now, as I don't think we can solve alignment if we don't know what we're building. I think I have good news about it. I co-authored early work in mechanistic interpretability at OpenAI and came away pessimistic, because neural networks appeared to fold into arbitrary tangled knots. years later, I started openai's first large-scale automated interpretability project, finding about 2% of neurons legible with the primitive tools we had with modern agentic tools and a much closer look, the picture looks totally different. the vast majority in models up to trillions of parameters are legible, and their circuits beautiful. many famous examples of tangled neurons turned out to be misunderstood. The roadblocks I expected mostly aren't there. I now think ambitious interpretability will be solved by the time we need it most, and possibly quite soon, as automated scientists keep improving. it may be a bitter lesson for interpretability: the simple thing, at absurd scale, works already-clean.goodfire.com/
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Sean Hastings 1.0 retweeted
Time from conception to testable super soldier candidate is how many years? At what year did this first become possible and how many of those decade plus long testing cycle itterations would be required to develop an army of good clones and fit them into that all white body armor? "Well enforced" is holding a LOT of weight there. History of underground nuclear weapons programs shows that nations do not actually abide by tech limitation treaties. (This includes some of the current nuclear powers who made it over the line by cheating.) The idea that you can bomb suspected facilities only deters those that don't have their own deterrent. Nuclear detterents have been seen to work. So that is 9 independant labs in nations with nukes right there, even if you don't accept the idea that non governmental secret labs will also exist (they will) and that some nations without nuclear capabilities will try anyway because they missed the boat on being nuclear powers and want to join the big boys. So lets just say 9 labs and look at what p(doom) per lab we exceed a 90% chance of having everyone die because you put your faith in "well enforced" international treaties and one of the nuclear powers who will still feel free safe in continuing research gets it wrong. For N independent trials, each with failure probability P, the probability of at least one faillure is: 1 - (1 - P)^N Set this equal to 0.9 with N = 9 1 - (1 - P)^9 = 0.9 (1 - P)^9 = 0.1 1 - P = 0.1^(1/9) P = 1 - 0.1^(1/9) P ≈ 0.226 So if your per secret lab p(doom) exceeds 22.5% you are now at p(doom) 90% and have likely committed probabalostic suicide. What is your p(doom) now? Current conditions have some level of alignment research sharing going on. That is where you get your scary AI swarm stories from. So right now, collectively, we are in a better situation than secret labs with no sharing from other bright minds working on the same problem. Take your current p(doom) and increase by the amount that makes sense to you for a singke rogue secret lab's p(doom). Are you over 22.5% ? I did not invent probability mathematics to support my ideology. My reasoned beliefs in this matter come from historical observations of government actions in similar arms races and my mathematical knowledge. Yours come from ideological submission to an authority who continues to fail to address the above argument, either because he knows he already fucked up and probably doomed us the moment he was chatting with Bernie Sanders, or because he doesn't really belive the things he says and just says scary things to get the attention he craves. The math doesn't lie. Sure, the history on limitation treaties might not repeat itself. It is possible. But is it probable? That history is certainly the only information we have to go on, other than lack of supersoldiers, which I have pointed out is not as quickly or easily developable a tech as nukes or AI. Are you willing to risk going from p(doom) 22.5% to p(doom) 90% betting that history won't repeat itself? A "pause" is probablistic suicide. The rational part of your brain that followed this argument already knows it, while the tribal instinct part is trying to send your thoughts in any other direction, because accepting heresy means losing group, and on evolutionary time scales, losing group meant almost certain death. So right now, your evolved mind is quite litteraly reacting to my reasoned logical argument as if I am someone who wants to kill you.
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She is absolutely right that nothing about her personal life choices invalidates her ideas. Ideas must stand or fall on their own merits with no regards to their source. Stop using the "ad whorminem" fallacy!
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Sean Hastings 1.0 retweeted
"I came in skeptical and left persuaded that the core arguments survive serious scrutiny. The renormalization framework alone is worth the read." -ANTHROPIC CLAUDE 4.6
"If Nobody Builds it, Everybody dies" Published by @LifeboatHQ Get enough Hardcover copies for your whole xmas list! amazon.com/dp/0998413143
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Sean Hastings 1.0 retweeted
Replying to @fare
My first reponse to Roko's basilisk was "This is such a stupid thought experiment that I must now demand that future artificial superintelligence simulates refunding me the time I spent reading about it." The other issue with infinity thumbs (infinitimidation) is that they always somehow then require a specific entirely unsupported "solution" (e.g. the human sacrifices to Quetzalcoatl you mention). We describe this as always being employed together with the classic "political syllogism" (undistributed middle fallacy): Something must be done! This is something. Therefore, we must do this. So that any insane course of action can be imposed in the wake of the inspired fear. Y&S use this to get from "any mistake building ASI ends us all" to "we must bring government in to pause this yech" even though the obvious (based on all historical observations) result of government control of this tech would be dozens of secret/classified labs around the world rather than open work that might combine our efforts into a single open roll of the dice rather than many hidden ones. Even if (especially if) you accept their scare story, their solution, given even a few seconds of rational thought, not paralyzed by fear, turns out to be probabilistic suicide.
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Sean Hastings 1.0 retweeted
Replying to @fare
We call it an "infinity thumb" placed on the scales weighing an argument's merits, discover two more infinity thumbs on the pro-ASI side to outweigh Yudkowsky and Soares' one, but then point out that two infinities don't really outweigh one and all must be renormalized.
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