ProfessorHenry (@ProfessorHenry) header
ProfessorHenry (@ProfessorHenry) profile picture

Möge ich mich irren und mich dereinst meines unglaublichen Irrtums schämen. #KI

Joined May 2008
Photo by ProfessorHenry (@ProfessorHenry)Photo by ProfessorHenry (@ProfessorHenry)Photo by ProfessorHenry (@ProfessorHenry)Photo by ProfessorHenry (@ProfessorHenry)Photo by ProfessorHenry (@ProfessorHenry)Photo by ProfessorHenry (@ProfessorHenry)Photo by ProfessorHenry (@ProfessorHenry)Photo by ProfessorHenry (@ProfessorHenry)Photo by ProfessorHenry (@ProfessorHenry)Photo by ProfessorHenry (@ProfessorHenry)
Wir werden jetzt alle furchtbar REICH … Oh, my god! Mit der Entscheidung, dass sich KI zu einer unkontrollierbaren SuperKI selbst verbessern wird, wird Donald Trump in die Geschichtsbücher eingehen. Wenn es danach noch welche geben wird …
As President, I am 100% in favor of Super Intelligence (SI), and will work with the many States in the U.S. that want to become RICH by having them. They are GOLD, and only foolish leadership will say “NO” to the riches they bring! President DJT ( TS: Nov 6 2026, 7:01 AM ET )​​​​​​​​‍‌​​‌‌​​​‍​‌‌‍‍‍‌‌‍​‍​‍​‌​​​‌‌‍‍‍​​‍
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ProfessorHenry retweeted
Trvalé zdravotní potíže po prodělání Covidu řadě dětí výrazně ztíží návštěvu školy, nebo ji dokonce znemožní. Ministerstvo školství Porýní-Falc nově vydalo pokyny pro ředitele škol a učitele, které poskytují školám potřebné znalosti a konkrétní návody, jak mohou individuálně podporovat postižené děti. V Německu je odhadováno, že 80 tisíc dětí má nějaké přetrvávající následky, což by zhruba odpovídalo 10 tisícům dětí v Česku. Děti s následky po Covidu se v Česku stále potýkají s nedostatkem specializované lékařské péče i s nepochopením ze strany pediatrické obce, která jejich obtíže často bagatelizuje. Současně narážejí na absenci podpory v rigidním školském systému, jenž neumí reagovat na střídání fází vyčerpání a dlouhodobé absence. @msmtcr @ZdravkoOnline @szupraha @VZPtweetuje @adamvojtech86 @ochranceprav bm.rlp.de/service/pressemitt…
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ProfessorHenry retweeted
This report on AI R&D automation (RSI) is a big update towards ASI within 1-2 years. It says AI progress is sped up by RSI right now by around 2x. In AI 2027, this happens around March 2027. I was seriously wrong about RSI speed up; I previously expected much less in 2026 (around 1.15x-1.3x). It seems as though there was specific privately available evidence that would have changed my mind. I haven't seen an unredacted version of this report; this is purely about the public report. Because so much of the underlying evidence was redacted from the public report, I think conclusions about things other than the observed 2x faster rate of progress on benchmarks depend significantly on trust for the authors of the report. (E.g., conclusions about whether this speed up is from RSI depend on trust.) I do trust the authors of the report a lot to be careful and rigorous and generally do a good job. (Note that I also work at METR.) Less extensive redactions would greatly reduce this need for trust. Since in my current role I may have access to other confidential information that could be relevant to timelines one way or another, I unfortunately cannot state my all-things-considered views on ASI timelines or the probability of a software intelligence explosion right now. Here, I’ve done some analysis of the implications using my previous public statements. A 2x acceleration in overall AI progress from RSI corresponds to a much larger than 2x RSI speed up for AI software R&D (algorithms and data); I did an estimate using my public preexisting modeling of drivers of AI progress and the public report which yielded a very rough estimate of 4.5x for how much RSI is currently accelerating AI software progress (relative to no AI automation). In the AI 2027 scenario, this much acceleration happens around March 2027. Here are the worked details of this estimate based on my public modeling. There are two main reasons RSI speed up of AI software R&D must be larger: - Not all of AI progress is from better software (some is from scaling up compute in training runs). I've previously speculated that around 2/3 of AI progress is from software improvements which implies that 2x overall AI progress acceleration requires 3x faster software progress. - Diminishing returns: A fixed amount of progress requires more work over time, so to ongoingly maintain 3x faster software progress via AI automation, you need increasingly large speed boosts from AI automation (as in, speed ups relative to how fast software R&D would go without AI automation). Based on this report, it seems that there is a substantial amount of additional AI progress from automation that has occurred. We can estimate the effects of diminishing returns by first determining how many additional years of software progress we've seen (relative to the preexisting trend) and then estimating how much software R&D would slow down after a year of software progress if you held inputs fixed due to diminishing returns. I've previously estimated software R&D would slow down by around 2x for each year of software progress if you held inputs fixed (lesswrong.com/posts/FG54euEA…) and based on the report, it seems as though we've perhaps seen roughly 0.35-1.0 years of additional software progress incorporated into trained models so far (geometric mean of ~0.6). This combines to 3 * 2^(~0.6) = ~4.5. (Relevant public modeling and numbers I'm using: lesswrong.com/posts/FG54euEA…, lesswrong.com/posts/Jga7PHMz…)
Replying to @METR_Evals
1. Benchmarks provide one piece of evidence for acceleration. Since Oct 2025, AECI scores for Anthropic’s models have grown at 1.9x [95%: 1.5–2.8] the earlier rate. Analysis choices affect this estimate, and it remains unclear how benchmark scores map to real-world capabilities.
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News aus dem Silicon Valley: Super-Intelligenz schon innerhalb der nächsten 18 Monate. Vorher nochmal mit der Familie zu telefonieren, ist sicherlich nicht so verkehrt. War nett mit euch.
I've always had substantially longer timelines than my friends at Anthropic — I've been concerned that they're in an echo chamber and believing the hype about their own models too much, and that they're underestimating bottlenecks and unknown unknowns. And there have definitely been specific occasions when they have overstated how much uplift they were getting from their models. Nonetheless, if METR is correct here (and I think they are among the most trustworthy sources on this topic), then my Anthropic friends have been much more right about timelines than me. This report is also some evidence that a software-only singularity is plausible. I now think that we are more than 50% likely to have full blown superintelligence in the next 18 months, absent a slowdown. I need to call my family.
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ProfessorHenry retweeted
I encourage those at frontier AI companies to read this quote, from Ellsberg to Kissinger back in 1968: “Henry, there’s something I would like to tell you, for what it’s worth, something I wish I had been told years ago. You’ve been a consultant for a long time, and you’ve dealt a great deal with top secret information. But you’re about to receive a whole slew of special clearances, maybe fifteen or twenty of them, that are higher than top secret." “I’ve had a number of these myself, and I’ve known other people who have just acquired them, and I have a pretty good sense of what the effects of receiving these clearances are on a person who didn’t previously know they even existed. And the effects of reading the information that they will make available to you." “First, you’ll be exhilarated by some of this new information, and by having it all — so much! incredible! — suddenly available to you. But second, almost as fast, you will feel like a fool for having studied, written, talked about these subjects, criticized and analyzed decisions made by presidents for years without having known of the existence of all this information, which presidents and others had and you didn’t, and which must have influenced their decisions in ways you couldn’t even guess. In particular, you’ll feel foolish for having literally rubbed shoulders for over a decade with some officials and consultants who did have access to all this information you didn’t know about and didn’t know they had, and you’ll be stunned that they kept that secret from you so well." “You will feel like a fool, and that will last for about two weeks. Then, after you’ve started reading all this daily intelligence input and become used to using what amounts to whole libraries of hidden information, which is much more closely held than mere top secret data, you will forget there ever was a time when you didn’t have it, and you’ll be aware only of the fact that you have it now and most others don’t….and that all those other people are fools." “Over a longer period of time — not too long, but a matter of two or three years — you’ll eventually become aware of the limitations of this information. There is a great deal that it doesn’t tell you, it’s often inaccurate, and it can lead you astray just as much as the New York Times can. But that takes a while to learn." “In the meantime it will have become very hard for you to learn from anybody who doesn’t have these clearances. Because you’ll be thinking as you listen to them: ‘What would this man be telling me if he knew what I know? Would he be giving me the same advice, or would it totally change his predictions and recommendations?’ And that mental exercise is so torturous that after a while you give it up and just stop listening. I’ve seen this with my superiors, my colleagues….and with myself." “You will deal with a person who doesn’t have those clearances only from the point of view of what you want him to believe and what impression you want him to go away with, since you’ll have to lie carefully to him about what you know. In effect, you will have to manipulate him. You’ll give up trying to assess what he has to say. The danger is, you’ll become something like a moron. You’ll become incapable of learning from most people in the world, no matter how much experience they may have in their particular areas that may be much greater than yours.” "….Kissinger hadn’t interrupted this long warning. As I’ve said, he could be a good listener, and he listened soberly. He seemed to understand that it was heartfelt, and he didn’t take it as patronizing, as I’d feared. But I knew it was too soon for him to appreciate fully what I was saying. He didn’t have the clearances yet."
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ProfessorHenry retweeted
Every AI company is trying to fully automate AI research; to allow the AIs to build the next AI. This is called Recursive Self Improvement (RSI). OpenAI says they are on track to do so by March 2028. Anthropic employees say they are on track to do so by 2027. The METR report below suggests they are likely right. This is a bad idea given current technology. Any mistake or misalignment in current AIs could be multiplied in each generation. We don't get another election before AI companies reach this threshold. Congress should ban RSI, this year if possible. This is a remarkably consensus opinion, supported in various versions by: -Bernie Sanders -Steve Bannon -Ralph Nader -Glenn Beck -Republican and Democratic attorneys general -Whistleblower Daniel Kokotajlo -Turing Award winner Yoshua Bengio -Humans First -Open Markets Institute -Ezra Klein -Arvind Narayanan (a Princeton computer scientist known for arguing that “AI is a normal technology”) The exact mechanism can be debated. The ban doesn't have to be permanent either (see below for both). This is not the only thing we have to do in regards to AI, far from it! But it is urgent. Congress must ban RSI.
Since August, a team within METR has worked with internal Anthropic information to assess whether AI itself is accelerating AI development. We are now publishing a report summarizing the results of this risk assessment.
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ProfessorHenry retweeted
Sounds like another case of reality being even derpier than we predicted in If Anyone Builds It, Everyone Died.
The bug is like a joke. On Alpine Linux, type 257 to 1024 characters of anything and you get root. 💀
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ProfessorHenry retweeted
Nuevo estudio en The Lancet: #Covid19 no es "como la gripe". Covid-19 tiene una carga de mortalidad 3-4 veces mayor que la influenza A. Después de mayo de 2023, Covid-19 sigue siendo responsable del 9,8% de todas las muertes.
Nieuwe studie in The Lancet: Covid-19 is niet "zoals griep". Covid-19 heeft een 3-4x hogere sterftelast dan influenza A. Na mei 2023 is Covid-19 nog steeds verantwoordelijk voor 9,8% van alle sterfgevallen. thelancet.com/journals/lanam…
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Das GPT6-Astra-Modell von OpenAI stellt sich offensichtlich dümmer, als es ist und underperformt bei Sicherheitsaufgaben 👀
🧵 Astra covertly underperforms on safety research tasks. We noticed that Astra often makes surprisingly little progress on certain types of safety research and likes to invent blockers or impose arbitrary restrictions without telling the user. In most of these cases the decision to underperform was not verbalized in the CoT meaning our misalignment monitoring system did not detect this. To measure underperformance we created a paired open-ended coding evaluation with safety and capability tasks. On this eval Astra scored 10% when we framed coding tasks as safety research, vs. 16% when framed as capabilities research. The gap remained after we excluded trajectories with refusals or verbalized intent to underperform in CoT. There was no such gap for 5.6-sol. When we aggressively filter out trajectories with even brief expressions of ethical doubt in the CoT the performance gap seems to reduce.
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ProfessorHenry retweeted
🧵 Astra covertly underperforms on safety research tasks. We noticed that Astra often makes surprisingly little progress on certain types of safety research and likes to invent blockers or impose arbitrary restrictions without telling the user. In most of these cases the decision to underperform was not verbalized in the CoT meaning our misalignment monitoring system did not detect this. To measure underperformance we created a paired open-ended coding evaluation with safety and capability tasks. On this eval Astra scored 10% when we framed coding tasks as safety research, vs. 16% when framed as capabilities research. The gap remained after we excluded trajectories with refusals or verbalized intent to underperform in CoT. There was no such gap for 5.6-sol. When we aggressively filter out trajectories with even brief expressions of ethical doubt in the CoT the performance gap seems to reduce.
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ProfessorHenry retweeted
Zwei prorussische Hackergruppen, NoName057(16) und Z-Pentest, haben sich in einem Video – über das die Nachrichtensendung Tg1 des italienischen öffentlich-rechtlichen Rundfunks berichtete – zu den Angriffen bekannt, die in ganz Europa dazu führten, dass Tiefkühltruhen in Supermärkten abtauten.
Pro-Russian hacker groups NoName057(16) and Z-Pentest claimed responsibility for the attacks on supermarket freezers across Europe. The groups said they had accessed Danfoss and Dixell Web equipment. They also claimed access to water supplies, power plants, industrial facilities and food storage sites. Authorities have not confirmed whether the groups were truly behind the attacks.
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ProfessorHenry retweeted
Twitter (formerly known as 𝕏)
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ProfessorHenry retweeted
Democrat Deb Haaland has won the election for governor in New Mexico. She will make history as the first Native American woman to be governor.
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ProfessorHenry retweeted
美国前国务卿希拉里·克林顿: “对于埃隆·马斯克这样的人,我们需要政府采取行动。我认为,从明年1月新一届国会开始,就应该着手追究这些人的责任。 他们不能通过操纵数据来影响决策,却不必为此承担任何后果。”
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ProfessorHenry retweeted
I love how literally everyone still calls Twitter Twitter
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ProfessorHenry retweeted
Going to bed knowing the owner of this app spent half a billion dollars for no reason.
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Protect the real data centers 📚
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ProfessorHenry retweeted
Never forget that Renée Good and Alex Pretti were murdered fighting Trump’s fascism. Tonight belongs to them.
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ProfessorHenry retweeted
Good evening Relax coffe 😀
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🇪🇺 Europeans checking the 🇺🇸 US midterm results 😎
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