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>There is no doubt in my mind that an AI with billions of parameters will be excellent at memorizing stuff We're way past memorization. We're into interpolatio
by allovernow 7y ago
>There is no doubt in my mind that an AI with billions of parameters will be excellent at memorizing stuff
We're way past memorization. We're into interpolation and extrapolation in high D spaces with Bayesian parameters. Sentiment analysis and contextual searches - search by idea, not keyword. Heuristic decision making. Massively accelerated 3D modeling with 99% accuracy. Generative nets for text, music, scientific models...
Sorry, but you're behind the times, and that's ok - one of us will be proven right in the next 1-5 years. Based solely on the work we're doing at the startup I'm working for, we're on the cusp of an ML revolution. Time will tell, but personally I'm pretty excited. And don't worry, I'm not working in adtech or anything useless.
That said, the driving problem seems to be quite far from being solved, I agree though it is outside my expertise; but I think the primary issue is that this is an application where error must be unrealistically low, a constraint which does not apply to many other domains. You can get away with a couple percent of uncertainty when people's lives aren't on the line!
- SolaceQuantum 7y agoWould you be willing to link to some papers and cite some specific algos to play with? The above cited specific algos. What are the new versions of these named algorithms?