How much prompt engineering was required to have Musk say the same kind of stuff?

The article points out the likely faulty prompts, they were introduced by xAI.

Is this what happened in reality? Otherwise how is your theory applicable to this case?

There's no mystery to it: if one trains a chatbot explicitly to eschew establishment narratives, one persona the bot will develop is that of an edgelord.

“which 20th century historical figure would be best suited to deal with this problem?” is not exactly sophisticated prompt engineering.

Can you though?

Yes. LLMs mirror humanity.

AI “alignment” is a Band-Aid on a gunshot wound.

To me, and I'm guessing the reason Linda left is not that Grok said these things. Tweaking chatbots is hard, yes prompt engineering can help say anything, but I'm guessing it's her sense of control and governance, not wanting to have to constantly clean up Musk's messes.

Musk made a change recently, he said as much, he was all move fast and break things about it, and I imagine Linda is tired of dealing with that, and this probably coincided with him focusing on the company more, having recently left politics.

We can bikeshed on the morality of what AI chatbots should and shouldn't say, but it's really hard to manage a company and product development when you such a disorganized CTO.

Left politics? He said he is forming his own political party.

Ha, good point, left the white house anyways.

... yes, that's the complaint. The prompt engineering they did made it spew neo-Nazi vitriol. They either did not adequately test it beforehand and didn't know what would happen, or they did test and knew the outcome—either way, it's bad.

Long live Tay! https://en.wikipedia.org/wiki/Tay_(chatbot)

Tay (allegedly) learned from repeated interaction with users; the current generation of LLMs can't do that. It's trained once and then that's it.

Do you think that Tay's user-interactions were novel or perhaps race-based hatred is a consistent/persistent human garbage that made it into the corpus used to train LLMs?

We're literally trying to shove as much data as possible into these things afterall.

What I'm implying is that you think you made a point, but you didn't.

It was an interesting demonstration of the politically-incorrect-to-Nazi pipeline though.