Comment Re: Hello naysayers (Score 1) 38
Google xkcd extrapolate
Google xkcd extrapolate
s/best/only/
No, I remember owning a calculator watch with phone directory because I could never remember phone numbers, outside of a few I used all the time. Then I got a cellphone and now I don't need to wear a watch.
Simp harder
Lots of people could and did design and/or build personal computers in the 70s. Magazines published designs and sold mail order kits pior to the Apple I. There were also a bunch of pre-built home computers contemporary with the Apple I/II, and several of them were more popular.
Neither Steve was really the singular genius people like to retrospectively paint them as. Together they did good work and were in the right place at the right time with the right motivation.
The trick has been around since industrial spies noticed the first liar got away with it.
I wonder if stock-holders can successfully sue for lying about the cause of a sales slump?
Make the AI bubble pop already. I'll stop wanking off for a year if you pop it, I swear on my rosie palm.
I have no idea what graduates you look at, but this is not the case here (Europe).
The point being...AI doesn't tangibly save time. It might save a bit under some circumstances, but not enough to justify layoffs. The CEOs are full of shit.
Pretty much this. LLMs can be convenient, but they are not magic and that they make competent coders slower is pretty well established by now.
The problem with that is that external pressure to get better is raising, both from reliability requirements and from security requirements. In this case, stagnation means getting worse and worse.
Well, that is certainly what they are planning. Just one problem: The evidence is mounting that LLMs cannot replace competent engineers.
No surprise this idiocy is happening in other areas too. There is a special kind of mental disability you need to have (or acquire) to be an economics graduate: A total inability to see more than a few months into the future and a total inability to do any kind of risk management. It worked? Everything must be more than fine and surely we can do it cheaper, right?
That is why people with critical institutional and technological skills are not treated even remotely at their value, let alone critical for organizational survival. Tech history is full of big names that are not around anymore or only in massively reduced forms. And in most cases, it is because some "managers" did not manage to think.
"Now this is a totally brain damaged algorithm. Gag me with a smurfette." -- P. Buhr, Computer Science 354