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keeda
searching PlanetScale…
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38 ms
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691.
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by
keeda
11mo ago
Maybe I'm misinterpreting your point, but this makes it seem that your standard for "intelligence" is "inventing entirely new techniques"? If so, it's a bit extreme, because to a first approximation, all prob
692.
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by
keeda
11mo ago
Offshoring wasn't really limited... looking at India as the largest offshoring destination, it is in the double-digit billions annually, about 5 - 10% of the entire Indian GDP, and it was large enough that it raised generations of Indi
693.
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by
keeda
11mo ago
I would agree with that premise, but at that point they are not engineers, they are founders! I guess in the end, to capture their full value engineers must escape the bonds of regular employment. Which is not to say either one is better or
694.
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by
keeda
11mo ago
I really do not want to impose on anyone, but I do want different perspectives so I appreciate all these discussions! I think we are actually in two bubbles -- see sibling thread: https://news.ycombinator.com/item?id=4621140
695.
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by
keeda
11mo ago
The unfortunate reality of engineering is that we don't get paid proportional to the value we create, even the superstars. That's how tech companies make so much money, after all. If you're climbing the exec ladder your pay
696.
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by
keeda
11mo ago
I think you're parsing the original claim incorrectly. "Advanced software teams" does not mean teams who write advanced software, these are software teams that are advanced :-)
697.
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by
keeda
11mo ago
> Yes, but I think pre-AI virtually everyone reading this would have been very skeptical about their ability to do so. That's not quite true: while everybody acknowledged it was folly to measure absolute individual productivity, t
698.
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by
keeda
11mo ago
> Demand is inflated in a bubble. Is it? The dot-com fiber bubble for instance was famous for laying far more fiber than would be needed for the next decade even as the immediate organic demand was tiny. In this case however, each and
699.
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by
keeda
11mo ago
As mentioned in the thread I linked, they acknowlege the productivity puzzle and try to control for it in their studies. It's worth reading them in detail, I feel like many of them did a decent job controlling for many factors. For ins
700.
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by
keeda
11mo ago
It won't be great for my financial interests, even though partial, if my decisions were based on presupposed notions rather than evidence ¯\_(ツ)_/¯
701.
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by
keeda
11mo ago
Right, the obsolence rate of GPUs is one of the primary drivers of the depreciation shenanigans aspect of the bubble. However, I've come across a number of articles that paint a very different picture. E.g. this one is from someone in
702.
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by
keeda
11mo ago
My understanding is prior work in NLP and symbolic AI was strongly influenced by Chomsky's philosophies, e.g. https://chomsky.info/20121101/ and https://norvig.com/chomsky.html
703.
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by
keeda
11mo ago
How do his accomplishments (numerous as they may be) matter if they are only tangentially related to the topic he's discussing? The fact that his take aligns with many others' does not help if they are all outsiders ruminating on
704.
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by
keeda
11mo ago
> - Most devs who say AI speeds them up assert numbers much higher than what those studies have shown. I am not sure how much is just programmers saying "10x" because that is the meme, but if at all realistic numbers are ment
705.
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by
keeda
11mo ago
I feel like this bubble actually has two bubbles happening: 1. The infra build out bubble: this is mostly the hypescalers and Nvidia. 2. The AI company valuation bubble: this includes the hyperscalers, pure-play AI companies like OpenAI and
706.
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by
keeda
11mo ago
I think the point is simply that "firing" indicates wrongdoing or lack of performance by the workers , whereas "layoffs" indicates the company unilaterally decided to remove them. It may sound nitpicky, but it is pertin
707.
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by
keeda
11mo ago
1. Being a VP in these companies does not imply they have an understanding of financing, accounting or data-center economics unless their purview covered or was very close to the teams procuring and running the infrastructure. 2. That level
708.
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by
keeda
11mo ago
Yes, self-reported productivity is unreliable, but there have been other, larger, more rigorous, empirical studies on real-world tasks which we should be talking about instead. The majority of them consistently show a productivity boost. A
709.
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by
keeda
11mo ago
This feels like addressing a point TFA did not make. TFA talks mostly about vibe-coding speeding up coding , whereas your comment is about software development as a whole. As you point out, coding is just one aspect of engineering and we
710.
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by
keeda
11mo ago
I feel like your expectations have been swayed by the average sentiment of HN on the capabilities of LLMs. These things can be shockingly good at humour and satire. As a very quick experiment, I would encourage you to have an AI roast you b
711.
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by
keeda
11mo ago
Heck, I bet it could even recreate future comments from actual accounts based on their past comments. After all, if an AI can roast your HN comments with such pinpoint accuracy, it can probably impersonate you pretty well too: https:/
712.
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by
keeda
11mo ago
Here's the only simple, universal law that should apply: THOU SHALT OWN THE CODE THAT THOU DOST RENDER. All other values should flow from that, regardless of whether the code itself is written by you or AI or by your dog. If you look a
713.
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by
keeda
11mo ago
Even these everyday use-cases are infinitely varied and can displace entire industries. E.g. ChatGPT helped me get $500 in airline delay compensation after multiple companies like AirHelp blew me off: https://news.ycombinator.com
714.
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by
keeda
11mo ago
This is annoying because Ars is one of the better tech blogs out there, but it still has instances of biased reporting like this one. It's interesting to decipher this article with an eye on what they said, what they implied, and what
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by
keeda
11mo ago
> Figuring out the spec is half the job. That's where we come in of course! Look into spec-driven development. You basically encourage the LLM to ask questions and hash out all these details. > Who said anything about the brow
716.
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by
keeda
11mo ago
OK, you just added requirements the previous poster had not mentioned. Firstly, how often do you really need to sort a million elements in a browser anyway? I expect that sort of heavy lifting would usually be done on the server, where you&
717.
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by
keeda
11mo ago
> But how do you know you're getting the correct picture from that throwaway UI? You get the AI to generate code that lets you spot-check individual data points :-) Most of my work these days is in fact that kind of code. I'm
718.
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by
keeda
11mo ago
I asked the free version of ChatGPT to implement quicksort in JS. I can't really see much wrong with it, but maybe I'm missing something? (Ugh, I just can't get HN to format code right... pastebin here: https://pas
719.
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by
keeda
11mo ago
> They have no problem doing multiple large non-quiet lay-offs, why would they need moustache-twirling level schemes to get people to quit. So the thing about all large layoffs is that there is actually some non-obvious calculus behind
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by
keeda
11mo ago
As I've said before: AI mandates, like RTO mandates, are just another way to "quiet fire" people, or at least "quiet renegotiate" their employment. That said, AI resistance is real too. We see it on this forum. It&#
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