Raw LLM Responses

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It's not fair to say we don't know how this works - we do know how, in general - we've been building up to this for decades with massive study using better and better hardware. We can see how it works in tiny models tested decades ago, but now, we cannot examine all of the parts to explain - exactly - what comes out, as it's built by our looping code that runs through (more than) trillions of pieces of data, again and again, before we see a result. That said, the scientists who build these still have a general understanding of what's going on, otherwise they wouldn't be able to make all this. You can't just connect all of Google's servers with jumper cables and expect a big brain to emerge, right? It's true, though, that they try to filter the output it makes - that's why we talk about breaking the AI, getting it to sneak the stuff we want out past those filters. It's also true that we don't know what it will do exactly, since there's too much to look at to predict it. So in this sense, yes, we don't know how it works, for any result - we can test it and see clues, but an exact explanation we cannot give, since we're only human.
youtube AI Governance 2024-01-02T12:3… ♥ 11
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningmixed
Policynone
Emotionmixed
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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