I've observed an increasing trend with modern AI research that A) It's no longer practical to incorporate into real products given the hardware costs for training and inference. In NLP, large transformer based models can easily occupy a 5 thousand dollar GPU at a paltry 50-60 words per second processing pace. B) The Research often demonstrates things that existing non-ML toolchains were already reasonable at doing wi…
Your comment reminds me of snide dismissals of personal computing in the 1980s - looks worse than [existing thing], very expensive, requires an army of technicians, probably explodes unpredictably, overall just a terrible investment.
Pac-Man recreated with a GAN trained on 50k game episodes
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Re: Pac-Man recreated with a GAN trained on 50k game episodes
#132Earlier quoted context omitted.
Your comment reminds me of snide dismissals of personal computing in the 1980s - looks worse than [existing thing], very expensive, requires an army of technicians, probably explodes unpredictably, overall just a terrible investment.
Followed by decades long monopoly over expensive new technology, likely crushing waves of innovation and usage, in exchange for slow, buggy, not-even-automated spreadsheets; plus the hemming of governments and organizations into endless software rental contracts and platforms, that maybe don't add value as fast as Moore's Law.
thinking back on the PC, Web, cloud, and mobile growth periods, each came with a transformative change in the capabilities, cost, and availability of computing power. We're only seeing two of these aspects in AI today - with the cost side heading in the wrong direction.
Re: Pac-Man recreated with a GAN trained on 50k game episodes
#133I've observed an increasing trend with modern AI research that A) It's no longer practical to incorporate into real products given the hardware costs for training and inference. In NLP, large transformer based models can easily occupy a 5 thousand dollar GPU at a paltry 50-60 words per second processing pace. B) The Research often demonstrates things that existing non-ML toolchains were already reasonable at doing wi…
Or, to paraphrase: great paper, no application.
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Re: Pac-Man recreated with a GAN trained on 50k game episodes
#134Thought experiment: Is my brain also generating reality without a physics engine and is filling in details that it thinks should be there? If true, what are the advantages/disadvantages of it?
Re: Pac-Man recreated with a GAN trained on 50k game episodes
#135Re: Pac-Man recreated with a GAN trained on 50k game episodes
#136What're the total number of possible states in Pacman?
Eg if you have a blob that can move in x and y coordinates, it doesn't get more complicated just because you move from 32-bit floating point numbers to 64-bit floating point numbers. Even though the number of states squares.
Re: Pac-Man recreated with a GAN trained on 50k game episodes
#137I predict methods like this will be used to create a simulation environment that approximates the real world. Reinforcement learning folks are running out of game engines win inside of. I believe the best way to transcend this coming limitation will be to take a learning based approach similar to this.
I mean, it's pretty clear that we are already living in such simulation, right?
Re: Pac-Man recreated with a GAN trained on 50k game episodes
#138Re: Pac-Man recreated with a GAN trained on 50k game episodes
#139I've observed an increasing trend with modern AI research that A) It's no longer practical to incorporate into real products given the hardware costs for training and inference. In NLP, large transformer based models can easily occupy a 5 thousand dollar GPU at a paltry 50-60 words per second processing pace. B) The Research often demonstrates things that existing non-ML toolchains were already reasonable at doing wi…
The english longbow was vastly superior to the first guns that came out, which were slow to load, unreliable to shoot, didn't work in the rain, and were extremely inaccurate.
3d printed stuff sucks. It's not very strong, it's not very pretty and takes a long time to create.
Meanwhile, take a look at this ML photo processing technique:
Re: Pac-Man recreated with a GAN trained on 50k game episodes
#140Earlier quoted context omitted.
Because it's a pile of if-else statements shuffled until it was able to perform a single specialized thing. Any housefly would by a thousand times as "conscious".
What makes you so certain a house fly doesn’t have a form of rudimentary consciousness? It might be a spectrum.