4 ms·

Is there some scaling limit that prevents people from doing the same in several hours with a couple of GPUs?

• MasterScrat 8y ago
  If each experiment takes you literally 400 times longer than for a Google researcher, your chances of figuring out anything new drops dramatically. I was at an ML conference last year and I asked the panel: if I want to go forward in ML, should I rather do a PHD or work in the industry? a professor (!) answered that I should work in the industry as most research groups don't have the funding to be competitive.
  • p1esk 8y ago
    Most people who work in well funded ML labs in the industry have phds.
    • ousta 8y ago
      for now. wait 5 years.
      • p1esk 8y ago
        In 5 years there will be a lot more people with ML phds looking for work :)