4 ms·

Speak for yourself. I see the majority of work being done by professional software engineers.

aristofun 1y ago
Any popular examples to support your claim? My claim is supported by the post article and many points there, for example. Another example is my own experience working with python ecosystem and ai/ml libraries in particular. With rare exceptions (like pandas) it is mostly garbage from DevX perspective (in comparison of course). But I admit my exposure is very limited. I don’t work in ai area professionally (which is another example of my point btw, lol))
- fleischhauf 1y ago
  pytorch, tensorflow, numpy there are quite a few examples ai/ml has been steadily more commodetized, so it's far from only being developed by mathematicians. Hence every highschools student and his mother has an AI startup now. (And I'm not even mad, it's actually very exciting to see what people come up with nowadays)
  - lolinder 1y ago
    Unfortunately when someone says "AI" these days they're not talking about pytorch, tensorflow, or numpy. They're talking specifically about LLMs, which are built on top of those tools but which do show the tendency that OP is identifying to generally appear to be vibe-coded over a weekend rather than designed by a rigorous engineering process like what we've come to expect from foundational tech like web browsers or operating systems (or, yes, pytorch or numpy).
    - acchow 1y ago
      Which LLMs seem to be vibe-coded over a weekend? Do you perhaps mean small language models? I doubt Llama or Deepseek were vibe coded..
      - lolinder 1y ago
        Sorry, I see that was confusing. I meant tooling for LLMs. Things like Langchain come to mind.
  - aristofun 1y ago
    > pytorch, tensorflow, numpy I would use those as examples of an exception from my generalized point. Anything else? Just a handful of tools you can call professional of thousands and thousands used everyday?
lispisok 1y ago
"professional software engineer" is a meaningless title because the industry has no professional standards.
- aristofun 1y ago
  That can be a perfect example of kind of mentality that looks prevalent among ai developers - they often are not even aware of the problem.

Any popular examples to support your claim? My claim is supported by the post article and many points there, for example. Another example is my own experience working with python ecosystem and ai/ml libraries in particular. With rare exceptions (like pandas) it is mostly garbage from DevX perspective (in comparison of course). But I admit my exposure is very limited. I don’t work in ai area professionally (which is another example of my point btw, lol))

fleischhauf 1y ago
pytorch, tensorflow, numpy there are quite a few examples ai/ml has been steadily more commodetized, so it's far from only being developed by mathematicians. Hence every highschools student and his mother has an AI startup now. (And I'm not even mad, it's actually very exciting to see what people come up with nowadays)
- lolinder 1y ago
  Unfortunately when someone says "AI" these days they're not talking about pytorch, tensorflow, or numpy. They're talking specifically about LLMs, which are built on top of those tools but which do show the tendency that OP is identifying to generally appear to be vibe-coded over a weekend rather than designed by a rigorous engineering process like what we've come to expect from foundational tech like web browsers or operating systems (or, yes, pytorch or numpy).
  - acchow 1y ago
    Which LLMs seem to be vibe-coded over a weekend? Do you perhaps mean small language models? I doubt Llama or Deepseek were vibe coded..
    - lolinder 1y ago
      Sorry, I see that was confusing. I meant tooling for LLMs. Things like Langchain come to mind.
- aristofun 1y ago
  > pytorch, tensorflow, numpy I would use those as examples of an exception from my generalized point. Anything else? Just a handful of tools you can call professional of thousands and thousands used everyday?

lispisok 1y ago

"professional software engineer" is a meaningless title because the industry has no professional standards.

aristofun 1y ago
That can be a perfect example of kind of mentality that looks prevalent among ai developers - they often are not even aware of the problem.