But if it's so obvious, then why are we still relying on it in the system prompt. It's just wasting context at this point.
5,186 karma · joined April 23, 2019
But if it's so obvious, then why are we still relying on it in the system prompt. It's just wasting context at this point.
This already goes over the heads of most non-developers.
I think you're misunderstanding my point. It's not that LLMs aren't a useful tool or that they won't replace some developers. But rather that software development as a specialty won't go away because most people can't build software with LLMs in a way that won't blow up.
The few people who manage to write good quality production apps with AI are developers whether they like it or not and that number isn't high enough to obsolete existing developers.
Saying something deserves nuance because 1 out of 99 experts disagrees is exactly how you end up with increasing measles cases or adding 6 more lanes to a highway.
I can understand why this might seem like a good take to have but sometimes you need 100% biased news because some things are 100% biased. Things like climate change is real or genocide is bad should not be controversial takes. Convincing people that there are two sides to an argument is exactly how you end up with sensationalism and extreme views that push the Overton window.
If anything, the people making it out to be some big conspiracy against mainstream medicine are doing it more for the money because they're often peddling some alternative medicine or supplements.
> a 1,024,000² (1M²) area of the Overworld (Dec 25 2025 - Apr 13 2026), > a 512,000² (512k²) area of the Overworld (Nov 11 2024 - Dec 12 2024), > a 256,000² (256k²) area of the End (Jan 23 2026 - Feb 15 2026), > a 100,000² (100k²) area of the Nether (Jun 9 2025 - Jun 14 2025)
How do they both provide a single snapshot of the world while also providing a date range.
The problem I've had with AI systems is that they eventually realize it's possible to solve a problem by linking together two separate systems in subtle ways that result in spaghettification of good code. It takes active effort to get them to follow strict separation of concerns and modularization.
The best bikes I saw were ones that a kid from a family could buy for maybe $20 in local currency and the repairability comes from the cheap cost - if something breaks down, you can find the replacement part from a spare bike that broke down months ago.
It's one thing to build and ship 1000 bicycles to a poor village, but it's another to teach a village how to make bicycles with random spare pipes and materials they can find anywhere. That way if something breaks, they have the skillset to fix it.
If you go to villages in developing nations, you'll see these kinds of innovative solutions all over - things that don't seem like they should work but they just do after lots of trial and error.
AI slop in my mind is anything that's completely written by AI with the only human input being "hey it would be nice if this article existed in the world"... If the human doesn't verify or edit anything the AI wrote, then I might as well just prompt the AI myself if it's a topic I'm interested in.
Today's standards are yesterday's luxuries which were the day before's scientific breakthroughs.
And the idea that science is what's breaking the bank when it's barely a rounding error in the US budget is laughable. It's hard to get exact numbers for all R&D funding vs how much we spent on the Iran war but my estimates put just the single Iran war at anywhere from 20-50% and the goals for the Iran war are even more abstract and arguably make things much worse for average Americans on a day to day basis.