namaria

11 ms·

121.
by namaria 1y ago
> Reading the explanation involves memorising it temporarily and at best understanding what it means at a surface level. I agree. I don't really feel like I know something unless I can go from being presented with a novel instance o
122.
by namaria 1y ago
> Since good LLMs with reasoning are here I disagree. I get egregious mistakes often from them. > because I'm able to always get an explanation Reading an explanation may feel like learning, but I doubt it. It is the effort of go
123.
by namaria 1y ago
A benchmark that can be gamed cannot be prevented from being gamed by 'security through obscurity'. Besides this whole line of reasoning is preempted by the mathematical limits to computation and transformers anyway. There's
124.
by namaria 1y ago
There is no guarantee for you that by keeping your questions to yourself that no one else has published something similar. This is bad reasoning all the way through. The problem is in trying to use a question as a benchmark. The only way to
125.
by namaria 1y ago
So we need LLMs to solve the halting problem?
126.
by namaria 1y ago
If you have been giving the LLMs these problems, there is a non zero chance that they have already been used in training.
127.
by namaria 1y ago
Hard disagree on instant suggestions with 40% miss rate being valuable. I want support not half backed guesses.
128.
by namaria 1y ago
No, that doesn't follow at all. My point is about the scale of ballot measure not the effects. That would be for the State legislature to decide, in my opinion, not a State-wide referendum, is the point.
129.
by namaria 1y ago
> I've seen a lot of value from deploying LLMs in things like first-line customer support, where a suggestion that works 60% of the time is plenty valuable Valuable to whom? How so? At that rate I would end my business with such a
130.
by namaria 1y ago
You can just search for "interest calculator" there many such sites. Also, I don't quite get it: > everything was beautifully accurate up until the end when the number felt suspicious The LLM generated text about compoundi
131.
by namaria 1y ago
You can't compound 760 1600s pounds for 400 years and get to a dollar amount either. The whole exercise is spurious. That is beside the point. What I am saying is that asking an LLM to do interest calculation is absurd in itself, let w
132.
by namaria 1y ago
Maybe you should point them to the news stories about that sort of thing blowing up spectacularly in court. Or maybe you could just let them learn that by themselves.
133.
by namaria 1y ago
Why would you use an LLM for this? A simple spreadsheet can do this sort of calculation easily and deterministically. Also, the assumption of '3% interest' is wrong. There are records of stretches achieving 15% returns for several
134.
by namaria 1y ago
I guess I should check this out. Thanks for the tip, I do love me some good jazz.
135.
by namaria 1y ago
I too have seen economic value be collected by terrible things that absolutely not exist in my opinion. Your example fits the bill. Profitability is not the absolute measure of what should exist.
136.
by namaria 1y ago
Thank you for the reply. > What limits computers fundamentally is energy. There is simply a minimum amount of energy required to flip a bit. I'm talking about things that lie beyond computation in the absolute. It doesn't matte
137.
by namaria 1y ago
> It's fine to have a hobby horse! > I didn't say it's petty! You did. And I already showed you made a claim that LLM was AI and that you agree that you were thinking of something akin to expert systems. When I explaine
138.
by namaria 1y ago
I think you have the right intuition, i.e. "can there be a self improving machine?" is akin to asking "can entropy be lowered?". And I agree that yes, the self improving machine actually exists. It's the living cell
139.
by namaria 1y ago
I was joking, but my serious opinion on this is that direct democracy doesn't scale. For a country like Switzerland that is basically a small patchwork of villages up in the mountains it is probably fine, but for a polity of 39 million
140.
by namaria 1y ago
> Something that seems true to me is that LLMs are actually too smart > I think it's an expert system I respectfully disagree with the claim that my point is petty and irrelevant in this context.
141.
by namaria 1y ago
I know a guy who made a career out of advising management about this sort of foot dragging in software engineering. He is very wealthy.
142.
by namaria 1y ago
There should be an exponential backoff rule for failing propositions.
143.
by namaria 1y ago
Yes. Reliable domain experts are very important.
144.
by namaria 1y ago
Yeah humans can be terrible. I am not sure what is the argument here. Does that make it ok to use software that can be just as terrible?
145.
by namaria 1y ago
> So then if your notion of quality is simply how large the budget or team making the film is, then I think you might need to adjust your lenses. You are not being very honest about the content of the comment you're replying to. &gt
146.
by namaria 1y ago
Yes. That is precisely the problem with using LLMs. They wantonly make up text that has no basis in reality. That is the one and only problem I have with them.
147.
by namaria 1y ago
Do just that. Enter an organization that has regular meetings and follows Robert's rules of order. Use an LLM to generate notes. Read the notes and vote on them. See how long the LLM remains in use.
148.
by namaria 1y ago
You are right. I don't think the only alternative to shielding management from the consequences of their bad choices is letting things implode and going down with the ship.
149.
by namaria 1y ago
Seriously, do people around you not normally double check, proofread, review what they turn in as done work? Maybe I am just very fortunate, but people who are not capable of producing documents that are factually correct do not get to keep
150.
by namaria 1y ago
Expert systems are not the problem per se. The problem is that AI is very often a way of hyping software. "This is a smart product. It is intelligent ". It implies lightning in a bottle, a silver bullet. A new things that solves

More ›