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Kitchen appliances run Linux now. I think the economies of scale might win regardless

Well if becomes law, not doing it is even more untenable

There is a disappointing lack of revolutionary spirit, to value labour directly instead of for the things it provides us.

Demand food, shelter, leisure, purpose. Jobs are one (honestly pretty bad) implementation of that


Who's labor are you demanding there? If somebody doesn't want to give you the food they've grown what are you going to do about it?

> Who's labor are you demanding there?

OpenAI's

> If somebody doesn't want to give you the food they've grown what are you going to do about it?

Well, die probably. That's why people are upset.


Nobody's labor is being demanded.

>>> Demand food

>> Who's labor are you demanding there

> Nobody's labor is being demanded


It is, but the statement goes further than that and says they use no gen ai at all in making their games. Which feels unnecessary, unless they mean just in the art and writing, which feels misleading

In particular, it would mean their software engineers are not allowed to use Claude/Codex etc, in contrast to common industry practice.

Which is fine. RuneScape has been in development since the early 2000s, long before GenAI even existed. They got along before GenAI and they can continue to not use it.

People may be forgetting the game has 20 years of content already, why do they need to make more faster with GenAI? Its already a massive piece of software.

Runescape is quite literally a dinner table name it is that famous. Their only true competition is probably World of Warcraft. The community is already huge. What competitive advantages are they going to lose? Likely none.


If the World of Warcraft developers adopt Claude Code this could become a problem for RuneScape.

You're out of touch from the gaming space if you don't understand why game companies make strong claims about not using GenAI for art.

Yes, you can use constrained decoding


If there is a genuine conspiracy, it (edit: not Claude evidently) will take their claims at face value. A couple I've run into recently:

- why did Hollywood lobby for box office receipts to be added to the onion futures act

- do gratuities on cruise ships actually increase crew pay

In both cases it went to the official source and repeated their statements, without thinking about the fact it was blatant paltering. Only after I pointed that out did it go digging deeper and realise it was more complicated (and less favourable for Hollywood / cruise lines) than it had said

Which I'm assuming is a consequence of the post-4o anti-delusion anti-conspiracy training


What answers do you expect and what sources do you have to back it up?

this is what I got. And we can examine whether Claude is egregiously wrong or not. Although I agree that LLMs can't figure out when there's a genuine conspiracy theory.

https://claude.ai/share/3dda5c01-420c-4869-8a07-dd7813e50647

https://claude.ai/share/cdb6960c-ed64-4d36-8b50-acccc325411b


Cool I stand corrected, I had asked an openai model (probably sol?) and got much worse answers, broadly:

- Listing the reasons why Hollywood claimed to want to law, like not giving premature ideas that a movie would flop, without pointing out how much Hollywood benefits from the information symmetry

- Saying yes the gratuities affect pay but not as straightforwardly as you would expect, quoting the "all gratuities go to staff" while ignoring the fact that can and does mean paying the labour bill the company would have to pay anyway

I would be happy with the answers you linked. Which I'm now realising demonstrates the point you actually made. I read "I use Claude" as context not as a conditional.

I didn't realise there was such a difference on this. We need a "willing to ignore official company information and point out paltering" benchmark.


Here's Sol

https://chatgpt.com/share/6ab231a6-c5a8-83ed-b9ff-33c450496d...

https://chatgpt.com/share/6ab231d6-934c-83eb-8d64-46e36d9f5c...

I don't have enough context to judge them, but the answers look different at start but the explanations look similar.


You can stop it refusing but you can't make it tell you things that aren't in the training data


They are saying there appears to be a lot more to these refusals than saying no, and this process appears to only touch the tip of the iceberg; as the refusal seems to run deeper into the token prediction process.


Yes, it submits lots of varied prompts that get refused, and then lots of varied prompts that don't get refused, then iteratively edits weights so those two groups end up in roughly the same latent space.


I wonder, if we could accurately resolve discrete neural signals in the human brain, if a similar process would work.


We have no theory as to how the brain works at a granular enough level. Remember that matrix multiplication can simulate almost any group structure.


While I think you're right that this is a real problem, there's also real costs to a partial solution. It encourages people to see it as a solved problem, disincentivising further reform and giving the impression you don't need to keep an eye on your kid's internet use because the state is handling it for you


Zero shot classifier indeed. Reminiscent of asking an llm a yes/no question, constraining the output to either yes or no, and looking at the logits directly

And each question is a separate single token model completion done in parallel


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