"A disturbing amount of effort goes into making AI tools engaging rather than useful or productive." Right. It worked for social media monetization. "... hallucinations ..." The elephant in the room. Until that problem is solved. AI systems can't be trusted to do anything on their own. The solution the AI industry has settled on is to make hallucinations an externality, like pollution. They're fine as long as someone…
Waymo "did it" in very controlled environments, not in general. They're still a ways away from solving self-driving in the general case.
Problems the AI industry is not addressing adequately
161–170 of 243 posts
Re: Problems the AI industry is not addressing adequately
#162Earlier quoted context omitted.
Is "we" the particular set of scientists who know those last four people? Surely you realize they're nowhere near as famous as the Wright brothers, right? This is giving strong https://xkcd.com/2501/ feelings.
Yes, that is indeed the 'we', but I think more people are knowledgeable than is obvious. I'm not an aerodynamicist, and I know about those guys, so they can't be infinitely obscure. I imagine every French person knows about Bleriot at least.
Re: Problems the AI industry is not addressing adequately
#163"A disturbing amount of effort goes into making AI tools engaging rather than useful or productive." Right. It worked for social media monetization. "... hallucinations ..." The elephant in the room. Until that problem is solved. AI systems can't be trusted to do anything on their own. The solution the AI industry has settled on is to make hallucinations an externality, like pollution. They're fine as long as someone…
Waymo "did it" in very controlled environments, not in general. They're still a ways away from solving self-driving in the general case.
Re: Problems the AI industry is not addressing adequately
#164Also, AGI is not just around the corner. We need artificial comprehension for that, and we don't even have a theory how comprehension works. Comprehension is the fusing of separate elements into new functional wholes, dynamically abstracting observations, evaluating them for plausibility, and reconstituting the whole - and all instantaneously, for security purposes, of every sense constantly. We have no technology th…
We only have two computational tools to work with - deterministic and random behavior. So whatever comprehension/understanding/original thought/consciousness is, it's some algorithmic combination of deterministic and random inputs/outputs. I know that sounds broad or obvious, but people seem to easily and unknowingly wander into "Human intelligence is magically transcendent".
Re: Problems the AI industry is not addressing adequately
#165Earlier quoted context omitted.
The women of the world are creating millions of new intelligence beings every day. I'm really not sure what having one made of metal is going to get us. Right now the AGI tech bros seem to me to be subscribed to some new weird religion. They take it on faith that some super intelligence is going to solve the world problems. We already have some really high IQ people today, and I don't see them doing much better than…
Exactly.. even if we had an AGI superintelligence, and it came up with a solution to global warming, we'd still have right-wingnuts that stands in the way of any kind of progress. And the story is practically the same for every other problem it could solve - people are still the problem .
Re: Problems the AI industry is not addressing adequately
#166Earlier quoted context omitted.
Related to your point: if these tools are close to having super-human intelligence, and they make humans so much more productive, why aren't we seeing improvements at a much faster rate than we are now? Why aren't inherent problems like hallucination already solved, or at least less of an issue? Surely the smartest researchers and engineers money can buy would be dogfooding, no? This is the main point that proves to…
> if these tools are close to having super-human intelligence, and they make humans so much more productive, why aren't we seeing improvements at a much faster rate than we are now? Why aren't inherent problems like hallucination already solved, or at least less of an issue? Surely the smartest researchers and engineers money can buy would be dogfooding, no? Hallucination does seem to be much less of an issue now. I…
Re: Problems the AI industry is not addressing adequately
#167Honestly this article sounds like someone is unhappy that AI isn’t being deployed/developed “the way I feel it should be done”. Talent changing companies is bad. Companies making money to pay for the next training run is bad. Consumers getting products they want is bad. In the author’s view, AI should be advanced in a research lab by altruistic researchers and given directly to other altruistic researchers to advance…
I feel I could argue the counterpoint. Hijacking the pathways of the human brain that leads to addictive behaviour has the potential to utterly ruins peoples lives. And so talking about it, if you have good intentions, seems like a thing anyone with the heart in the right place would. Take VEO3 and YouTube integration as an example: Google made VEO3 and YouTube has shorts and are aware of the data that shows addictiv…
Re: Problems the AI industry is not addressing adequately
#168However I'm flabbergasted by the lack of attention to so-called "hallucinations" (which is a misleading, I mean marketing, term and we should be talking about errors or inaccuracies).
The problem is that we don't really know why LLMs work. I mean you can run the inference and apply the formula and get output from the given input, but you can't "explain" why LLM produced phase A as an output instead of B,C, or N. There's just too many parameters and computations to go though, and the very concept of "explaining" or "understanding" might not even apply here.
And if we can't understand how this thing works, we can't understand why it doesn't work properly (produces wrong output) and also don't know how to fix it.
And instead of talking about it and trying to find a solution everybody moved on to the agents which are basically LLMs that are empowered to perform complex actions IRL.
How does this makes any sense to anybody? I feel like I'm crazy or missing something important.
I get it, a lot of people are making a lot of money and a lot of promises are being made. But this is absolutely fundamental issue that is not that difficult to understand to anybody with a working brain, and yet I am really not seeing any attention paid to it whatsoever.
Re: Problems the AI industry is not addressing adequately
#169Earlier quoted context omitted.
In the Catch me if you Can movie, Leo diCaprio’s character wears a surgeon’s gown and confidently says “I concur”. What I’m hearing here is that you are willing to get your surgery done by him and not by one of the real doctors - if he is capable of pronouncing enough doctor-sounding phrases.
If that's what you're hearing, then you're not thinking it through. Of course one would not want an AI acting as a doctor as one's real doctor, but a medical or law school graduate studying for a license sure would appreciate a Socratic tutor in their specialization. Likewise, on the job in a technical specialization, a sounding board is of more value when it follows along, potentially with a virtual board of debate,…
Re: Problems the AI industry is not addressing adequately
#170I can't speak intelligently about how close AGI really is (I do not believe it is but I guess someone somehow somewhere might come up with a brilliant idea that nobody thought of so far and voila). However I'm flabbergasted by the lack of attention to so-called "hallucinations" (which is a misleading, I mean marketing, term and we should be talking about errors or inaccuracies). The problem is that we don't really kn…
You can get use out of an LLM without understanding how every node works.