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The key insight here is "too compliant to user requests" What likely happened is that a few people decided to query groq in to generate ragebait traffic to the
by rapatel0 1y ago
The key insight here is "too compliant to user requests"
What likely happened is that a few people decided to query groq in to generate ragebait traffic to the page/account/etc. Then critical mass happened to make it go viral. Then it confirms prior biases so the media reported it as such (and also drive clicks and revenue).
Microsoft had basically the same scandal with twitter chatbot as well a few years ago.
Sadly, ragebait is a business model.
- vintagedave 1y agoThat's Musk's line, for sure. The article gives it more nuance: 'I presume that what happened was not deliberate, but it was the consequence of something that was deliberate, and it’s something that was not really predictable.' And goes on to discuss how LLMs can behave in unpredictable ways even when given what we expect to be prompts without side effects, and touches on the post-training processes.
- rapatel0 1y agoI respect both the comment and the commenter, but this is a fundamentally speculative statement that is somewhat meaningless. It paraphrases to "it wasn't intentional, but something was intentional, and also unpredictable." I'm sorry but what does that even mean? It's pure speculation. Furthermore, I highly doubt that a reporter from politico has the either the expertise or the connections to qualify the post processing / fine tuning processes for the one of the most closely guarded and expensive processes in all of technology (training large scale foundation models). Finally, the paragraph from the quote begins with "I mean, even Elon Musk, who’s probably warmer to Hitler than I am, doesn’t really want his LLM to say stuff like this." Again it confirms a prior bias/narrative and is rage-bait to drive revenue.
- stickfigure 1y ago> I'm sorry but what does that even mean? If I want to be generous, something along the lines of "The Law Of Unintended Consequences". Less generous is "someone turned the dial to the right and didn't realize how far they turned it". Even less generous is that someone feels some of these things in private but doesn't want to make it too explicit. They personally have a hard time toeing the line between edgy and obviously toxic and programming an AI to toe that line is even harder.
- vintagedave 1y agoI didn't post with the intention of being rage-bait; I thought it was a genuinely interesting article beyond its headline. That said, you're right. We don't know, and maybe we're giving too much credit to someone who seems unreliable. I'd love to know more in general about how LLMs get from the training stage to the release stage -- there seems to be a lot of tuning.