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I think you're optimistic that LLMs will get "much better". Over the last couple of years, there hasn't been a massive improvement. I also object to the term "hallucinations". Making stuff up is what this technology does - it puts words (well, tokens) in a sequence that seems likely based upon the training data. The problems you describe also apply when it's used to generate software code. People are actually less productive because they wpend more time futzing around with the prompt and debugging what the machine spits out. Sure, companies are using it to replace junior devs - which raises another problem: where are tomorrow's senior devs going to come from?
youtube AI Responsibility 2025-09-30T15:5… ♥ 11
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningconsequentialist
Policynone
Emotionresignation
Coded at2026-04-26T23:09:12.988011
Raw LLM Response
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