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Is the fix here really just, lets build more infrastructure? If so, who is going to fund it? AI/ML is already mostly a marketing term at this stage, it's all ju
by Arbalest 7y ago
Is the fix here really just, lets build more infrastructure? If so, who is going to fund it? AI/ML is already mostly a marketing term at this stage, it's all just people who want results now now now. Maybe this is the reason that AI winters have occured: Companies expect all this stuff to be plug and play, but it really isn't. You've got to put in the hard yards, and that means the dollars.
- deleted 7y ago[deleted]
- AstralStorm 7y agoWere it just dollars. Actual breakthroughs are not exactly predictable.
- Arbalest 7y agoFair enough, I was going to say time as well, but money is time as well, just means you have to multiply it a bit more.
- jsty 7y ago> If so, who is going to fund it? Considering the difficulty outlined in the article is in optimising the more 'cutting-edge' approaches (i.e. those without manually optimised kernels), there are numerous AI research centres (in industry and academia) that would be quite keen to reduce the compute cost of exploring new approaches / architectures. The vast majority of companies applying ML are unlikely to step outside of the "mainstream" in terms of model architecture (at least currently), and thus the conclusions aren't particularly relevant to them.