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Another 60% is auto-generated protobuf/grpc code. Maybe protoc counts as "AI".
Google does not check in protoc-generated code. It's all generated on demand by Blaze/Bazel.
(because it's like 50k lines regenerated for every build, everywhere, all the time)
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It’s a disservice to the public to assume they aren’t capable of understanding why AI job losses might be concerning even if they aren’t directly impacted. Most people aren’t so committed to class warfare that they will root for the apocalypse as long as it stomps a rich guy first.
Software engineers and grocery store workers are in different income brackets, but in the same class (labor/prolaterian). It is managers, executives, and investors that are in the capitalist class. Class is determined by your relationship to production.
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Next human will put the code in a prompt and ask what it does. Chinese Whispers.
(No need to Orientalize to defamiarize, especially when a huge fraction of the audience is Chinese, so Orientalizing doesn't defamiliarize. Game of Whispers or Telephone works fine.)
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I suspect that if you work on trivial stuff that has been asked on stackoverflow countless of times they work very nicely.
This is what I've been noticing. For C++ and Swift, it makes pretty unhelpful suggestions. For Python, its suggestions are fine. Swift is especially frustrating because it will hallucinate the method name and/or the argument names (since you often have to specify the argument names when calling a method).
Or when I say I need to do something, it invents a library that conveniently happens to just do that thing and writes code to import and use it. Except there's no such library of course.
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we've decided we can't be bothered with traditional search Traditional search (at least on the web) is dying. The entire edifice is drowning under a rapidly rising tide of spam and scam sites. No one, including Google, knows what to do about it so we're punting on the whole project and hoping AI will swoop in like deus ex machina and save the day.
> Traditional search (at least on the web) is dying. That's not my experience at all. While there are scammy sites, using the search engines as an index instead of an oracle still yields useful results. It only requires to learn the keywords which you can do by reading the relevant materials .
Google, and really, the whole financial machine has a vested interest playing up the potential of AI. Unfortunate that it isn’t being given time to grow organically.
If we are talking about the boilerplate code and autofill syntax code that copilot or any other "AI" will offer me when I start typing... Then sure. Sounds about right. The other 75% is the stuff you actually have to think about. This feels like saying linters impact x0% of code. This just feels like an extension of that.
> The other 75% is the stuff you actually have to think about. I’m pretty sure the actual ratio is much lower than that. In other words, LLMs are currently not good enough to remove the majority of chores, even with the state of the art model trained on highly curated dataset.
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> I'd say maybe 60-70% of the code it writes I don't have to touch at all. ...yet. Bugs can take time to surface.
And this is equally true whether the code was entirely written by a human or not.
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Next human will put the code in a prompt and ask what it does. Chinese Whispers.
I tried making a meme some months ago with exactly this idea, but for emails. One person would tell an LLM "answer that I'm fine with either option" and sends a 5 KB email, in response to which the recipient receives it and gets the automatic summary function to tell them (in a good case) "they're happy either way" or (in a bad case) "they don't give a damn". It didn't really work, too complex for meme format as far…
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At what point are people going to stop shitting on the code that Copilot or other LLM tools generate? > how trivial the problems they solve are A single line of code IS trivial. Simple code is good code. If I write the first 3 lines of a complex method and I let Copilot complete the 4th, that's 25% of my code written by an LLM. These tools have exploded in popularity for good reason. If they were no good, people woul…
I havent seen anybody use them and be more productive. With c++ my experience is that the results are completely worthless. It saves you from writing a few keywords but nothing that really helps in a big way. Yes Copilot CAN work, for example writing some JS or filter functions, but in my job these trivial snippets are rather uncommon. I‘d genuinely love to see some resources that show its usefulness that arent just…
What does that even mean? What are you expecting to see?
I've seen people who can't code ship entire new applications which actually work, in a few days or so. That to me seems more productive?
I use these tools daily in a FAANG level SWE role and they help me debug issues quickly - all the time, especially with tech I'm new to and have no experience with. I really don't understand the hate - it's like skipping stack overflow and giving you the ideal answer a lot faster.
Nobody likes to shout that they're using these tools but most people are.