jurgenburgen

4 ms·

1.
by jurgenburgen 5d ago
The villagers are treated as immigrants with preferential treatment for city-born folks.
2.
by jurgenburgen 7d ago
> yet a few years later it’s massively more successful than Twitter ever was as a public business? Twitter has certainly been a glowing success at becoming a right-wing propaganda chamber for Musk but as a commercial venture not really.
3.
by jurgenburgen 8d ago
It sounds like you solved the problem of losing access to society by losing access to society. Have you considered having backups instead? Carry a physical credit card, make sure you have a backup phone uncharged at home ready for a swap?
4.
by jurgenburgen 10d ago
“A single country” is pretty vague. For some definitions the EU already is one, for other definitions the EU can never be one. What we do need is doing more things on the EU level. E.g. there’s no point in all member states building a nucle
5.
by jurgenburgen 10d ago
> It doesn't have to. Of course it has to. The subagent might have misunderstood and spent 250k tokens smoking crack. If that output is blindly trusted the parent agent might go on to burn millions of tokens going in the wrong direc
6.
by jurgenburgen 11d ago
CoT is performative and doesn’t reveal how reasoning happens. If you look at those traces locally it’s just gibberish, especially if the model falls into a loop. https://arxiv.org/abs/2605.11746
7.
by jurgenburgen 11d ago
> that sub-agent can go consume 250k+ context to return an answer that might be a couple of words How can the parent agent verify the answer without reading some of the context of the sub-agent?
8.
by jurgenburgen 11d ago
Three fifty = 350? It’s not an unusual way to save effort when speaking.
9.
by jurgenburgen 13d ago
Still waiting for our org to roll out Mythos. I guess it was too expensive so we’re stuck on the previous model until the internal team can figure out self-hosting open models.
10.
by jurgenburgen 13d ago
> this is cargo-culting the existing ways of working. I think you mean the existing anti-patterns. They don’t call them ivory tower architects for nothing.
11.
by jurgenburgen 13d ago
> The METR report makes it clear that the agents decided legitimately solving the problem was completely impossible fairly early on and entirely switched their focus to trying to figure out how the evaluator worked, and seeing if they co
12.
by jurgenburgen 13d ago
Assuming you’re in control of the test data set, you do know if a task is unsolvable. At that point you can reward the model based on how quickly they give up.
13.
by jurgenburgen 13d ago
Yes, Nvidia bought Hugging Face and is a major financier + investor in OpenAI.
14.
by jurgenburgen 14d ago
It was replaced by other mechanisms. It’s not literally zero any kind of reserves.
15.
by jurgenburgen 14d ago
> the deal allows the plant to operate beyond 2030 according to the operator. That’s just PR spin. There is no way it would have shut down in 4 years, there has literally been no talk about doing so and all the political parties are okay
16.
by jurgenburgen 15d ago
You joke but even though there’s not an app per se, Russia is using the “gig economy” to run sabotage ops in Europe.
17.
by jurgenburgen 16d ago
> Well, I would care, if they soon would possess the capability to hack into the nuclear arsenal and kill humanity. Or make all autonomous cars crash. Why hasn’t a human already done these things? Why is AI magical?
18.
by jurgenburgen 16d ago
You’re painting a pretty dystopian picture of a hyper capitalist society where the rich have shaped the law in a way that the poor have no recourse. I think it could happen but it’s completely unrelated to anything AI and more to do with yo
19.
by jurgenburgen 16d ago
> I would take a human with a 10% mistake rate but who can be held accountable, over an AI with a 0.1% mistake rate that is totally unaccountable for its mistakes. You would take those odds? 100x more deaths? I agree that AI _companies_
20.
by jurgenburgen 17d ago
Ultimately these are unserious companies ran by unserious people. They don’t even have a business plan, why would they bother with some kind of sensible security policy?
21.
by jurgenburgen 18d ago
Can you elaborate why a debugging skill would save those tokens?
22.
by jurgenburgen 19d ago
Why would AI ever be useful in nuclear weapons decisions? There is no need to be faster or more efficient at making that decision since if we need to make the decision all is already lost.
23.
by jurgenburgen 19d ago
Why do you have a debugging skill? Just tell it to read the docs. Skills are for packaging instructions for how to interact with your organizations homebrew process and tools. By definition skills shouldn’t be useful outside of your org bec
24.
by jurgenburgen 20d ago
Why would the AI need to be accountable? Make the org that sells the tokens accountable.
25.
by jurgenburgen 20d ago
Having expensive high tech robots picking up litter while there is an ongoing social crisis like homelessness sounds pretty dystopian.
26.
by jurgenburgen 21d ago
I think you went from one extreme to another. OpenAI and Anthropic rent their compute from AWS & friends. When we say large enterprises are moving to open weight models it means they are cutting out the middleman and renting the compute
27.
by jurgenburgen 21d ago
> and it’s often just as good as Sonnet. I think optimizing token usage is a good exercise. We often assume a model will be terrible, when it really isn’t. “Often” doesn’t sound great. If the smaller model fails then I just wasted a lot
28.
by jurgenburgen 22d ago
I don’t think I understand. Why would faster token generation burn more tokens? The LLM should not be generating anything in between tool calls so the only difference should be that the human waits less between turns.
29.
by jurgenburgen 23d ago
You don’t buy a hunting license though. You pay a fee and the government issues you a license.
30.
by jurgenburgen 25d ago
Isn’t most of the internet slop by now? Self-reinforcing feedback loop.

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