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Seemingly unpopular opinion: large language models are just a new higher level of abstraction we can use to describe what we want the computer to do.

Can I claim this guy is a fraud for using python instead of typing opcodes into a hex editor? He doesn’t even know what registers hold his data!

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It’s yet another needless and error-prone abstraction that only works if it’s able to read human written code in the first place. I’d say it’s a pretty uninteresting, possibly dangerous, and ultimately distracting abstraction. My experience with ChatGPT was that it couldn’t ever tell me something that was actually correct, and I was asking it straightforward questions.

Large language models aren’t magic, they are tools. Most tools are potentially harmful in the hands of a novice and potentially powerful in the hands of an expert.

I didn't say they were magic. I said they're bad tools.

These tools seem like a needless middleman, for the most part. We'll see in ten years. Because ten years ago it was self-driving cars around the corner, and now we have the models saying full chat and knowledge providers are around the corner. I'll be very surprised if the edge cases, where stuff actually matters are ever addressed beyond demo uses or marketing/advertising applications.

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