dkdcwashere

yep went down a rabbit hole trying to build a company around this. it’s the perfect UI

text + attachments into the system, text + attachments out

> I would have assumed that making LLMs indistinguishable from these humans would make those kinds of comments less interesting to interact with but there’s a base level of conversation that hooks people.

I think it is heading in this direction, just takes a very long time. 50% of people are dumber than average

yep typically rolling 28 days is used for “monthly” metrics for this reason

> The alignment community now starts another research agenda, to interrogate AIs about AI-safety-related topics. For example, they literally ask the models “so, are you aligned? If we made bigger versions of you, would they kill us? Why or why not?” (In Diplomacy, you can actually collect data on the analogue of this question, i.e. “will you betray me?” Alas, the models often lie about that. But it’s Diplomacy, they are literally trained to lie, so no one cares.)

…yeah?

it is not

yep. been using them for years. others have too. it’s not weird

same thing happened with “delve” — these are just words and grammar, people use them

there is no accurate way to tell whether text came out of a neural network or not

the author ironically uses a lot of words to say very little, though I agree with the conclusion. it’s already annoying to have someone use a lot of words to say very little (especially in a business context). now it’s free and easily accessible for anyone, whereas before it at least took some social stamina

so people will do it, people will be annoyed by it, people will prioritize to more efficient communicators

can’t an AI just take an OpenAPI spec and throw it into this standard?

if it’s an open source standard, who’s paying for that?

thank goodness, we’ve had nothing open to do efficient distributed computing with for years!

*good*. the answer to this is legislation —- legally, stop allowing shitty ads everywhere all the time. I hope these problems we already have are exacerbated by the ease of generating content with LLMs and people actually have to think for themselves again