Raw LLM Responses

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It's true if it's just pretrained. But they can be fine tuned using RLHF to learn to produce better and more consistent results. This is how the train chatGPT to be a "useful" assistant. The issue is that now that AI hype and quarterly thinking have taken over, no one is bothering to properly align this stuff or go the extra mile to actually make a good product. You can see this with the recent failures of Google and Microsoft. Google has deepmind, they should know better. I would be especially ashamed if I were deepmind to be associated with Google right now. Love them or hate them, as unscrupulous and ethically dubious OpenAI is, they've proven to be best (afik) at alignment, attention to detail and actually taking their time to work on a product rather than just shitting out a minimum viable product. More like a series of PR disasters that will no doubt set back the field for decades in the same way people fear nuclear energy because of Chernobyl and Fukushima, despite the reality that nuclear power is statistically much safer for both human workers and the environment.
youtube AI Jobs 2024-06-17T05:2…
Coding Result
DimensionValue
Responsibilitycompany
Reasoningconsequentialist
Policyregulate
Emotionoutrage
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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