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>Citations needed. Large claims: presumably you can name one example of this, and hopefully it's not a company you work at. Unfortunately this is all emerging
by allovernow 7y ago
>Citations needed. Large claims: presumably you can name one example of this, and hopefully it's not a company you work at.
Unfortunately this is all emerging just now and yes, I do work at such a company, but I'm old enough to not be naively excited by some hot fad. There's something profound just starting to happen but everyone is keeping the tech rather secret because it isn't developed/differentiated enough yet to keep a competitor from running off with an idea, yet. Disclosure is probably 1-3 years out of estimate.
>I do know the oil companies are using DL...as their other imaging efforts.
You're correct, and I happen to have experience in this domain - except there are a handful of up and commers courting funds from global majors like Shell and BP, and seismic inversion is near the end of the list of novel applications. Peteoleum is ground zero for a potential revolution right now, if we can come up with something before the U.S. administration clamps down on fossil fuels.
But we're talking complex algorithms which consist of multiple interacting neural networks. We are rapidly moving toward rudimentary reasoning systems which represent conceptual information encoded in vectors. I'm jaded enough that I wouldn't say we're developing AGI, but if the progressing ideas I'm familiar with and Workin on personally pan out, they will be massive baby steps towards something like AGI.
The space is evolving at least as rapidly as the academic side, which I think is an unprecedented pace of development for a novel field of study. I can't help but feel like these are the first steps towards some kind of singularity. There's no question that we are on to something civilization changing with neural networks, what remains to be seen is whether compute scaling will keep up with the needs of this next generation ML. Even if research stopped today, the modern ML zoo has exploded with architectures with fruitful applications across domains. The future is here!
- deleted 7y ago[deleted]
- scottlocklin 7y agoI mean, the fact that you just wall of texted me with "trust me" doesn't inspire a lot of confidence. You could at least point me at an impressive paper or something! I read all the NIPS stuff every other year; don't see anything game changing in there!
- woeirua 7y agoFossil fuels are done. Even if they get a reprieve for another four years, they'll be done after that. As someone who currently works in the petroleum industry, I wouldn't recommend anyone start a company in it now. It's far too volatile, and the political winds are shifting strongly against it. I don't believe anyone who says that we're getting close to AGI. There are interesting techniques that might get us closer, but they're so far behind in terms of compute power and scaling that it's hard to see how they could be practical in the near future. Anything that's based on back prop is not going to get there. The singularity is a loooong way away.