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llmslave2

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Yep. I'd say it's an order of magnitude more effort to read code you haven't written too, compared to reading code you wrote. So there is approximately zero chance the people using AI to generate code are reading it at a level where they actually understand it, or else they would lose all of their supposed productivity gains.

I'm sorry but I'm not going to take "research" about Claude seriously from Anthropic, the company who makes and sells Claude. I'm also not going to do that for Copilot from Microsoft, the company who makes and sells Copilot.

But useful in the context of these debates isn't that it solves any single problem for someone. Nobody is arguing that LLM's have zero utility. So I don't really see what your point is?

I've seen some interesting work going the other way, having LLMs generate constraint solvers (or whatever the term is) in prolog and then feeding input to that. I can't remember the link but could be worthwhile searching for that.

I actually prefer no syntax highlighting, and I certainly wouldn't make any claims about it being useful. But something being "useful" is often personal - I find IDEs useful, others find Vim useful, maybe one is better or worse than the other or maybe we're all different and our brains function in different ways and that explains the difference.

With assembly versus say, Go for writing a web server? That's trivially observable, good luck arguing against that one.

Do you just believe everything everybody says? No quantifiable data required, as long as someone somewhere says it it must be true?

One of the reasons software is in decline is because it's all vibes, nobody has much interest in conducting research to find anything out. It doesn't have to be some double blinded peer reviewed meta analysis, the bar can still be low, it just should be higher than "I feel like"...

If you point a spectrometer at the sky during the day in non-cloudy conditions you will observe readings peaking in the roughly 450-495 nanometers range, which crazily enough, is the definition of the colour blue [0]!

Then you can research Rayleigh scattering, of which consists of a large body of academic research not just confirming that the sky is blue, but also why.

But hey, if you want to claim the sky is red because you feel like it is, go ahead. Most people won't take you seriously just like they don't take similar claims about AI seriously.

[0] https://scied.ucar.edu/image/wavelength-blue-and-red-light-i...

No, it's that it's hypocritical to make a bunch of unfounded claims and then whine that someone who is conducting actual research and trying to be objective isn't doing it well enough or whatever.

Nobody is saying LLM's can never be helpful, it's skepticism towards certain claims made around agentic workflows re. programming, such as claims of massively increased productivity or the idea that agents will replace most if not all programmers.

People say it takes at least 6 months to learn how to use LLM's effectively, while at the same time the field is rapidly changing so fast, while at the same time Agents were useless until Opus 4.5.

Which is it lol.