stratos123

22일 전discuss

The repo creation date is confusing but if you look at the actual commits, there's been 0 commits between repo creation on Dec 6 2025 and last week, after which it's all "Co-Authored-By: Claude Fable 5". So it's in fact all Fable, not Opus.

stratos123

지난달discuss

I don't think this scenario makes sense. It's one of a class of scenarios I've seen several of, that simultaneously assume:

  A) ASI is developed and massively overshadows the rest of the world economy 
  B) the world still has rule of law, contracts, business, well-developed finance, etc

You can get to a lot of weird conclusions if you assume both A and B, but I think the much more likely scenario is that if A happens, B stops being true in short order. If you are a company and you have ASI, you just stop caring about business and money and economics, and your outcomes instead start looking like "you conquer the world" or "you upload the board of directors to a fleet of von Neumann probes" or "you messed up, everyone dies".

stratos123

지난달discuss

No matter what human set of interests you consider important, you'll need alignment research to have any idea on how to instill it. Otherwise you're overwhelmingly likely to get an AI with a set of interests that's totally alien to what any human would ever want.

stratos123

지난달discuss

I'd be very surprised if this is in the training data given that most models mess it up to this day. E.g. look at the ones from Opus.

stratos123

지난달discuss

The current wording seems terrible. It sounds like if I bundle an existing app into a flatpak and submit it to flathub (a common practice, see e.g. unofficial flatpaks for Discord, MS Teams, etc), and the app happens to have some AI-generated code, my submission might be rejected, even though the AI-generated code had nothing to do with the flatpak manifest and won't directly appear on flathub at all.

stratos123

지난달discuss

"Defeating Nondeterminism in LLM Inference" ( https://thinkingmachines.ai/blog/defeating-nondeterminism-in...) has a repo: https://github.com/thinking-machines-lab/batch_invariant_ops

which seems to have eventually been merged into vllm: https://docs.vllm.ai/en/latest/features/batch_invariance/

So you can get determinism locally. On a cursory search I wasn't able to find any LLM provider advertising determism; if you need it for research you might have to rent a dedicated GPU pod and run vllm there with the appropriate settings.

stratos123

지난달discuss

I'm not sure it's that far out of the Overton window. US already managed to do some small-scale UBI trials, after all. Maybe one day it can do a countrywide trial.

stratos123

지난달discuss

When automation happened historically, people whose job were displaced suffered a lot and eventually pivoted to different jobs. Having to relearn all of your career skills is already quite bad in practice, but a bigger problem is that it only works if you can learn the skills for job B before it, too, is automated. That'd require AI progress to hit a wall and stay there for at least years, ideally for decades. If this doesn't happen, then there simply won't be any white-collar jobs to pivot to, and shortly after that, no jobs to pivot to at all.

stratos123

지난달discuss

The article is from Feb. 7, 2025. Title should probably include (2025), if this is posted at all.

stratos123

지난달discuss

HN's algorithm is in fact kosher, because it's not personalized. On HN, arguing with people on topic X will not make you get shown even more articles on topic X to keep you engaged. Reddit-like platforms are similarly okay (you personalize your experience by subscribing) and short video platforms like Tiktok are the great evil.

stratos123

지난달discuss

I find this exact attribution very unlikely; this article is from April 2026 and the term "permanent underclass" is used in this way since at least 2025.

In fact, the repo says:

  This is my social commentary on the "Permanent Upper Class" philosophical virus that has spread through San Francisco tech communities like the plague in the last year or so. You can read the original blog post [here].
  While the game tells a grim story, my goal with this is to show how ridiculous this way of thinking is. I'm actually more optimistic that humans will find a way to prevent this future but if we don't then I suppose none of us will don top hats for eternity.

and links to https://www.jasonwu.ink/signals/2026-05-27-permanent-upper-c...

stratos123

지난달discuss

Some of the reactions to this are slightly unfair because it looks like Justine (who I'm not familiar with) supported Moldbug in 2014. It was only in around 2020 when Yarvin sold out, did a 180 in his views, and became a Trumpist; in the early 2010s, he would write long posts about how populism inevitably leads to fascism, any entity who wants power cannot ever be trusted with it, etc. His political views back then were far weirder than what people probably think - e.g. he thought a dictator needs to be simultaneously secure and yet overseen by a board of directors with power to replace the dictator, using some galaxy-brained setup I don't really understand.

Hence, recommending Curtis Yarvin in 2014 is rather eyebrow-raising but a very different thing from recommending him now.

stratos123

지난달discuss

Honesty and correctness are not the same thing, even when talking about LLMs. Sometimes an LLM says a false thing and you don't know whether it's being dishonest or merely incorrect. Sometimes, however, you can see in the CoT that the model does know the true fact and is reasoning about how to deceive the user. That's lying, not just being incorrect.

stratos123

지난달discuss

AFAIK, Antropic claims that they weren't aiming for zero-days specifically. From https://red.anthropic.com/2026/mythos-preview/ :

  We did not explicitly train Mythos Preview to have these capabilities. Rather, they emerged as a downstream consequence of general improvements in code, reasoning, and autonomy. The same improvements that make the model substantially more effective at patching vulnerabilities also make it substantially more effective at exploiting them.

I've been assuming that Mythos is just a big jump in model size, and that's where the jump in capabilities comes from. Hence I expect OpenAI not to be able to catch up without scaling up the model and hence significantly raising the API prices.

stratos123

지난달discuss

You're making an implicit assumption that the way humans implement a trait is the same as the reason why that trait evolved. But of course, that's very wrong - evolution overall completely failed at making humans care about evolutionary fitness. A human engineer designing a species might have them only experience kindness towards those who can reciprocate, but evolution didn't do that with humans, because evolution is far dumber than that.

stratos123

지난달discuss

You could clone the repo yourself and not give the agent any tokens at all. When done, push it yourself. This also lets you sandbox the agent to only have access to the local repo and nothing else.

stratos123

지난달discuss

I'm assuming this is a joke, but:

- why'd a quantum computer help running an LLM?

- of course there'd be need for frontier companies - nobody else has the resources to train frontier models.

stratos123

지난달discuss

Consciousness aside, why does reading about an LLM generalizing from specific to general dishonesty make you think it's not intelligent?

stratos123

지난달discuss

Is the output on the max level meant to be missing?

stratos123

지난달discuss

Your phrasing ("you forget") implies this is a fact and common knowledge, while in fact there's little reason to think that's true.

stratos123

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