David Manheim

David Manheim

@davidmanheim.alter.org.il

Humanity's future can be amazing - let's make sure it is. Visiting lecturer at the Technion, founder https://alter.org.il, Superforecaster, Pardee RAND graduate.

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David Manheim reposted

I'm not saying that the problems AI companies are having with RL environments and reward hacking are just evaluation design problems that they never bothered solving, but...

In light of the recent results... I'm kind of hoping for a proof that P=NP for polynomial-time decision algorithms, but with a construction lower bounded by some ridiculous 3- or 4-digit degree polynomial making it irrelevant, so theoretical CS people scream about it and it doesn't matter.

I'm not saying that the problems AI companies are having with RL environments and reward hacking are just evaluation design problems that they never bothered solving, but...

David Manheim reposted

#ChemicalWeapons #BiologicalWeapons #ArtificialIntelligence #Terrorism A Pre-mortem on The First Major AI-Enabled Terrorism Event and The Choices That Could Enable It cutt.ly/GyR6g6gC [PDF File] Abstract Frontier AI developers’ model reports and the dedicated risk-assessment teams at ...

David Manheim reposted

🚨New paper (possibly the most important one I have written yet). We think that as early as 2027 or 2028, there might be a major AI-enabled terrorism event. We conducted a pre-mortem, made 9 falsifiable predictions, and wrote 2 concrete scenarios. Led by @kamachee.bsky.social

The other side of the anthropomorphic fallacy discussing LLMs is the utensilomorphic fallacy, uncritically claiming AI agents are like tools, e.g. that they only do what users ask them to or allow, and that consequences must be misuse or errors.

People we'll be citing who I'd love to send a draft of the paper to: @melaniemitchell.bsky.social, @kristinandrews.bsky.social, @emilybender.bsky.social, @bpaassen.bsky.social, @mmitchell.bsky.social, @anayebi.bsky.social, @mpshanahan.bsky.social Note: Likes from any of you -> I'll (try to) email.

David Manheim@davidmanheim.alter.org.il

The other side of the anthropomorphic fallacy discussing LLMs is the utensilomorphic fallacy, uncritically claiming AI agents are like tools, e.g. that they only do what users ask them to or allow, and that consequences must be misuse or errors.

And I think the way companies are now actually arguing against anthropomorphism is very relevant to the debate.

David Manheim@davidmanheim.alter.org.il

"Propensity to evade monitoring" - ? It sounds like AI companies are insisting that their models are just tools, to evade responsibility for creating something legitimately anthropomorphic that has goals the companies don't want.

"Propensity to evade monitoring" - ? It sounds like AI companies are insisting that their models are just tools, to evade responsibility for creating something legitimately anthropomorphic that has goals the companies don't want.

Hear, hear! But this is not just an issue created by AI use; the current role of reviews is that all criticism must be a shortcoming of the paper, because the only way to interact to improve a paper is introducing veto-points. (And this is not how "peer-review" worked before journals!)

Anders Sandberg@arenamontanus.bsky.social

I think what we need to start to develop as scholars a better and new map of how we trust and use the literature epistemically. Flawed papers can still be good papers! Nitpicks might be worth treating as bug tickets, and each paper more like a software project in need of patching.

Yes - if there was ever an excuse for not preregistering because of the extra work, it's certainly gone now.

Anders Sandberg@arenamontanus.bsky.social

Unexpected benefit of writing a paper together with an LLM: it has boundless energy for actually pre-registering our predictions before running a test and then not getting discouraged when many of them fail. In fact, disconfirming my own ideas is becoming more fun.

David Manheim reposted

in case you didn't know, deck.blue is currently my main source of income while i'm also getting into photography work here in são paulo, so i really appreciate everyone that's currently subscribed to the patreon; making all this possible if you can't subscribe but want to help, there's a ko-fi too!

patreon.comdeck.blue — Get the most out of Bluesky.Get more from deck.blue on Patreon. Get the most out of Bluesky.. Support deck.blue and get exclusive access to their work.

David Manheim reposted

Replying to @sanho.bsky.social

“The Trump-installed board that runs the Kennedy Center told a federal judge the building will have to be torn down unless President Donald Trump's name goes on it.“ Even Hitler would have blushed at such an insane demand, but it’s totally normal behavior for Needy Amin.

rawstory.comTrump board threatens to destroy 'unsafe' Kennedy Center in apocalyptic court filingThe Trump-installed board that runs the Kennedy Center told a federal judge the building will have to be torn down unless President Donald Trump's name goes on it.Justice Department lawyers made the a...

Public opposition to data centers somewhat matches the vibes of the people worried about AI safety, but actually stopping their construction isn't meaningfully helpful for AI safety, it's at best irrelevant.

Over on the bird site, Anthropic employees are using their slop machine that 'can't think' to solve longstanding mathematical open questions which have eluded humans for close to a century.

David Manheim reposted

"Technologies that have first order impacts on coordination and production, or that empower groups in other ways, tend to differentially benefit the powerful in ways that are harmful to others, either directly or indirectly"

David Manheim@davidmanheim.alter.org.il

New post: Huge technological revolutions aren't usually positive for those living through them - and this bodes poorly for AI even if it is a normal technology. davidmanheim.substack.com/p/if-ai-is-n...

As a forecaster, strongly disagree with @kulveit.bsky.social on this. 🧵 "Massive change" is pushing narratives over base rates and trends; in the past 20 years, inequality increased in developed countries. Predictions defying trends based on "this changes everything" are a common error.

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Yes, I agree the base-rate prediction implies no permanent underclass, and implies long term benefits - but looking at the details, the immediate impact of each was bad for the majority of people for at least a generation. Assuming AI adoption will buck this trend requires more justification.

Alternatively, of course, there are the even larger changes possible. That is, if AI isn't a normal technology, and strong AGI or ASI is developed, we should be looking at a different class of changes - but that's hardly less concerning!

As a forecaster, strongly disagree with @kulveit.bsky.social on this. 🧵 "Massive change" is pushing narratives over base rates and trends; in the past 20 years, inequality increased in developed countries. Predictions defying trends based on "this changes everything" are a common error.

What are some relevant base rates? I'd start with revolutionary technologies; agriculture, industrial revolution, computers, the internet. Each seems to promise paradise, but each led to short term consolidation of power and harm to most people (esp. the non-elite) in civilizations adopting them.

David Manheim reposted

It's hard to avoid the conclusion that Bluesky has been a net negative for US politics. They corralled everyone on the left into a little glass fishbowl where they shout at one another & everyone else ignores them. Meanwhile, all the pols & institutions stayed on X & are being dragged farther right.

The cognitive costs of choosing between different LLM versions or subagents for different tasks, picking or managing the thinking levels, whether to use /fast, and managing token budgets is an amazing illustration of why firms bundling labor into employee salaries is so much more efficient.

I would add that while much of the response needs to be on the government side, they also recommend audits. Frontier AI firms can and should work with nonprofits, auditors, and industry to establish credible audit standards even without waiting for government, as we argued last year:

link.springer.comThe necessity of AI audit standards boards - AI & SOCIETYAuditing of AI systems is a promising way to understand and manage ethical problems and societal risks associated with contemporary AI systems, as well as some anticipated future risks. Efforts to dev...

The proportion of Philosophy articles I'm asked to review that have undeclared LLM writing is too damn high! (I think LLM usage for writing is often fine, even / especially if the writing itself is about LLM's ability to reason. But it's supposed to be disclosed, so disclose it!)

"Chinese companies cannot legally fire employees simply to replace them with cost-saving artificial intelligence, courts in the country have ruled, setting a significant precedent for labor rights as automation sweeps the tech sector." There goes the "China is trying to win the AI race" narrative.

caixinglobal.comChinese Courts Rule Companies Cannot Fire Workers Simply to Replace Them With AIJudges classify AI adoption as a controllable business strategy rather than an unavoidable disruption, shielding employees from automation-driven layoffs

David Manheim reposted

Replying to @emollick.bsky.social

It's not just in the prompt, it's there twice! (Mistake, or necessary overkill? Who knows!) bsky.app/profile/emol... github.com/openai/codex...

Ethan Mollick@emollick.bsky.social

This is an actual line that was added to the official system prompt for Codex for GPT-5.5 by OpenAI. Usually the system prompt is as minimal as possible, so I assume it would otherwise mention goblins a lot. AIs are weird.

One problem with making predictions in public is that when I say I'm 75% sure of something, and someone else responds that they are 99% sure I'm wrong, they are using numbers as rhetoric, and I'm trying to make sure that I'd be right approximately 3 out of 4 times.

David Manheim reposted

Replying to @norvid-studies.bsky.social

This is the whole alignment problem. All of it, encapsulated. Low-probability behaviors by the model, just make your training environment=your test environment, "what's a capability vs. a propensity", non-adversarial generalization, Goodhart's law. The whole damn thing