“ GNU Artanis was Certificated as Awesome Project at 2013 Lisp in summer projects “
so i guess this is not news?
I am bemused / irked / saddened by the state of nutritional science research. I am convinced that the classic "food pyramid" that was pushed for years was a bad idea, but now guidance on what to eat seems to have split into various warring factions.
Some say that we should severely limit or even avoid meat. Their words look correct on the surface, but I notice their science seems based on "meat" pretty generically. There doesn't seem to be any accounting for eating high end grass fed beef from an organic market vs. low-end beef from a gas station. Does it really make no difference?
Another faction recommends eating meat freely, with no distinction as to type or quality. Another insists on the highest grade meat but then also discourages dairy. Another recommends high quality meat and no vegetables.
I would think that it would be, by now, more straightforward to determine what really makes most sense to eat. I guess (nearly?) everyone seems to agree that adequate water is good and too much sugar isn't.
Either I'm worse than then at programming, to the point that I find an LLM useful and they don't, or they don't know how to use LLMs for coding.
(Not disagreeing, but most of these comments -- on both sides -- are pretty vague.)
If you have an LLM transform a big pile of structs, you plug them into your program and it will either compile or it won't.
All programmers write countless one-off throwaway scripts. I can't tell you how many times I've written scripts to generate boring boilerplate code.
How many hours do you spend reviewing such tools and their output? I'll bet anything it's just about zero.
Because advocates of LLMs don't use their alleged intelligence as a defense; but opponents of LLMs do use their alleged non-intelligence as an attack.
Really, whether or not the machine is "intelligent", by whatever definition, shouldn't matter. What matters is whether it is a useful tool.
On the other hand, one early researcher said something to the effect of, Researchers in physics look at the universe and wonder how it all works. Researchers in biology look at living organisms and wonder how they can be alive. Researchers in artificial intelligence wonder how software can be made to wonder such things.
I feel like we are still way off from having a working solution there.
I think winning a Go or a chess competition does demonstrate intelligence. And winning a math competition does even more so.
I do not think a trivia competition like Jeopardy demonstrates intelligence much at all, however. Specifically because it reads like it's not about intelligence, but about knowledge: it tests for association and recall, not for performing complex logical transformations.
This isn't to say I consider these completely independent. Most smart people are both knowledgeable and intelligent. It's just that they are distinct dimensions in my opinion.
You wouldn't say something tastes bad because its texture feels weird in your mouth, would you?
https://www.gnu.org/philosophy/who-does-that-server-really-s...