131–140 of 403 posts
We have also been watching these machine learning models for 6 months: - increase the volatility in virtually every financial market they touched - be exploited by adversarial learning networks to amplify funded propaganda as news - use poorly contrived sentiment analysis to generate incomprehensibly meaningless news headlines These non-linear "function approximators" have absolutely unpredictable and insane non-line…
So Skynet will be insane?
I'm not sure how anyone who's watched the exponential growth of a brand new domain can pick a point today to and say that things aren't as good as we expected. What may have happened was that some eager CEOs have overpromised on timelines and resources. But the revolution is coming, ML is already starting to change society. We're building the tech. Right now. The author does not even realise the immeasurable potentia…
There has been next to ZERO progress towards genuine AGI despite a never-ending deluge of AI articles; that's normally the cause of scepticism. After several decades and a much-hyped last few years we have fake cleverness - impressively so in both cases - but nothing more.
I mean, really? In the most pessimistic evaluation of ML research, we still know which techniques and paradigms won't work for AGI. That's not zero progress. Nobody is expecting this to happen overnight.
I'm not sure how anyone who's watched the exponential growth of a brand new domain can pick a point today to and say that things aren't as good as we expected. What may have happened was that some eager CEOs have overpromised on timelines and resources. But the revolution is coming, ML is already starting to change society. We're building the tech. Right now. The author does not even realise the immeasurable potentia…
It already has—look at how much companies try to shunt you through a robot before you speak to a human despite their being mostly useless compared to humans. It’s clear this revolution we both see happening will come with horribly kafkaesque failures that will take 30 years to “discover” so we in the tech industry can “learn our lesson”.
Hell you can already see this with the use of fraud detection rather than implementing basic secure transactions on credit cards. The direction we’re headed in is clearer than ever: technology does not lead to better products but rather larger scale consumption of lower quality.
Earlier quoted context omitted.
This is so strange. If you use facebook, google, netflix, apple, microsoft, amazon or a whole host of other services you are interfacing with AI all the time. To think there’s no value there is asinine. Comes up a lot on HN. Seems like people set in their ways who don’t want to progress forward.
oh yeah, magnificient AI at Google search. Picked up my ebook-reader again, wanted to know about the state of linux there. so do a search: " linux ssh" (since a good shell is the point, where you can start developing). Turns out, the first 3 pages want to sell me the same thing I already own, with one outlier selling nutritional supplements. Oh well done AI!
We have also been watching these machine learning models for 6 months: - increase the volatility in virtually every financial market they touched - be exploited by adversarial learning networks to amplify funded propaganda as news - use poorly contrived sentiment analysis to generate incomprehensibly meaningless news headlines These non-linear "function approximators" have absolutely unpredictable and insane non-line…
Serious (and likely ignorant) question - what does linearity have to do with anything here? linear over what and why does non-linearity make something 'unpredictable'?
We have also been watching these machine learning models for 6 months: - increase the volatility in virtually every financial market they touched - be exploited by adversarial learning networks to amplify funded propaganda as news - use poorly contrived sentiment analysis to generate incomprehensibly meaningless news headlines These non-linear "function approximators" have absolutely unpredictable and insane non-line…
Where are stop signs hexagons? Am I being a pedantic numpty or am I illustrating a point about the many ways errors creep in, regardless of the natural- or artificial-ness of the intelligence?
Earlier quoted context omitted.
There's value, the tech works, but applying it is surprisingly hard. I met someone who dedicates their life to using machine learning to replace/aid/automate pathologists 6+ hour days searching for cancer tumors in lungs. They have been at it for 5 years. There is an insane amount of approvals, red tape, knowing the right people, convincing the hospital to use it - all tasks not related to the tech actually working.…
There is a strong chance that the technology to create digital beings will be available before human society is able to integrate and adjust to the current generation of AI. So what may happen is that the way that AI really gets integrated is by actually replacing human beings who largely die off.
Earlier quoted context omitted.
Where are stop signs hexagons? Am I being a pedantic numpty or am I illustrating a point about the many ways errors creep in, regardless of the natural- or artificial-ness of the intelligence?
North America. Where are stop signs not hexagonal?
I'm still not sure what successful AI implementations there have been. Stuff like Amazon/Spotify recommendations seem sensible. Is there anything else out there that is impressive?