It explained something to me today. So your point is disproven.
What is intelligence then if not explaining things. They can be intelligent without consciousness if that’s what you mean
It explained something to me today. So your point is disproven.
No. It produced a statistically likely answer.
What is intelligence then if not explaining things.
"the ability to learn, understand, and make judgments or have opinions that are based on reason"[0]
LLMs by definition cannot learn, understand, make judgements, or have opinions. If you find the model to be a tool that is useful to you, by all means. But do not anthropomorphize.
You're just talking semantics. To me if I read text that helps me understand something, that's an explanation. The black box it comes from is irrelevant.
LLMs do learn, understand, and make judgments. You're just pushing back on the underlying mechanism, which instead of reason/sentience is instead statistics and weights. I'd call that intelligence but I don't really care if you want to call it something else.
If you believe that an LLM can understand and make judgements then you have fundamentally misunderstood what an LLM is. I'd strongly suggest you read up on the internals.
This is really bad. This is going to set bitcoin back years.. if it ever comes back. There really is no point and no real use case for it outside of crime. Unless the whole world order collapses in which case we'll have bigger problems..
- Yes it is bad, but there have been plenty of larger scale hardships in the past decade.
- No it will not set back Bitcoin years
- The US dollar is used for much more crime than Bitcoin ever has been
- The financial world is collapsing in front of our eyes. The US dollar is inflating 8-12% every year, and the federal government wants to raise the debt ceiling even further. If you haven't realized how Bitcoin saves you from this by this point there's no point in trying to convince you otherwise.
The AI attacks are the scary piece so now you have something that you could spend $1m on tokens and brute force compute and it is worth it, for a prize of $10m+ and one million is a lot of AI
Is $1m a lot of AI? I’m finding that there’s significant diminishing returns in terms of what can be accomplished. The first dollar always seems to be the most impressive. By $10 I’m already underwhelmed, though.
I feel like I'm taking crazy pills reading these comments. Apps are clearly better for end users.
HTML and css is SUPER slow. It doesn't feel native, it doesn't feel good to use.
You also get so many weird glitches with state refreshing, sessions being cleared, log in not persisting.
Has anyone here actually used a PWA? You can feel that it's slow and clunky. Apps feel SO much better with the native UI, pre-downloaded, much faster etc.
I've found the most consistent indicator of overall app quality to be whether it is extremely small in size. An Android app under a megabyte in size is going to use the familiar, high-performance platform-native UI because it doesn't have room to do anything else. It is gonna do what it says on the tin and nothing else. It won't have ads. It won't phone home. Since it doesn't show ads and doesn't phone home, it's quite likely open source, meaning it quite likely has a GitHub project that I can look into if something goes wrong -- and because it's so tiny, I won't need to spend days trying to figure out how it works.
A web app is limited. Even if it loads fast, it feels clunky. Apps using native components have a much higher ceiling. Users don't care what tech is underneath
> A web app is limited. Even if it loads fast, it feels clunky.
But what about it feels clunky?
HTML and CSS are a lot faster than you want to believe. You can't tell me you've never used a website that isn't slow. Problem is the people making most websites don't care to optimize or profile anything.
This is really cool. It seems to me LLMs and books are a match made in heaven. An LLM query is more useful than a google search for most text.
Would be cool to see this more deeply integrated, in a koreader extension or something
I think it's an interesting psychological phenomenon similar to virtue signalling. Here you are signalling to the programmer in-group how good of a programmer you are. The more dismissive you are the better you look. Anyone worried about it reveals themself as a bad coder.
It's a luxury belief, and the better LLMs get the better you look by dismissing them.
It's essentially like saying "What I do in particular, is much too difficult for an AI to ever replicate." It is always in part, humble bragging.
I think some developers like to pretend that they are exclusively solving problems that have never been solved before. Which sure, the LLM architecture in particular might never be better than a person for the novel class of problem.
But the reality is, an extremely high percentage of all problems (and by reduction, the lines of code that build that solution) are not novel. I would guesstimate that less than 1 out of 10,000 developers are solving truly novel problems with any regularity. And those folks tend to work at places like Google Brain.
That's relevant because LLM's can likely scale forever in terms of solving the already solved.
> I would guesstimate that less than 1 out of 10,000 developers are solving truly novel problems with any regularity. And those folks tend to work at places like Google Brain.
Looks like the virtue signalling is done on both sides of the AI fence.
Not sure how you equate that statement with virtue signaling.
This is just a natural consequence of the ever growing repository of solved problems.
For example, consider that sorting of lists is agreed upon as a solved problem. Sure you could re-discover quick sort on your own, but that's not novel.
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