Oh, baby don't hurt me. Don't hurt me. No more.
Thanks. I think you are a correct exception to what I said. I should have known that using words like "nobody" would not go over well on HN (but tedious to type "a very large percentage"), despite that statement being a…
I would not retrain such a model on all data, just do online updates. Also I still think for that use case training times and latency are negligible (nobody cares or nobody notices any difference between training a BoW…
Nobody in business cares if you are doing proper AI or dumb curve fitting. What matters is the complexity (engineering debt) and performance (accuracy, robustness). Online learning, sample - and energy efficiency are…
If you are building large-scale systems that take weeks or months to train, you are at a point where you shouldn't care about this. Throw more compute at the problem, it will pay for itself. If we are talking days or…
Something can be possible, while still technically not feasible. I agree our knowledge currently is lacking, but see no reasons why this will never catch up. There are fundamental limits on cognition. For one our…
You are correct, in that AI experts may not be the best predictors for AGI. For one, they spend their lives working towards the goal of AGI, so it would require a huge amount of cognitive dissonance for them to say that…
Oh, baby don't hurt me. Don't hurt me. No more.
Thanks. I think you are a correct exception to what I said. I should have known that using words like "nobody" would not go over well on HN (but tedious to type "a very large percentage"), despite that statement being a…
I would not retrain such a model on all data, just do online updates. Also I still think for that use case training times and latency are negligible (nobody cares or nobody notices any difference between training a BoW…
Nobody in business cares if you are doing proper AI or dumb curve fitting. What matters is the complexity (engineering debt) and performance (accuracy, robustness). Online learning, sample - and energy efficiency are…
If you are building large-scale systems that take weeks or months to train, you are at a point where you shouldn't care about this. Throw more compute at the problem, it will pay for itself. If we are talking days or…
Something can be possible, while still technically not feasible. I agree our knowledge currently is lacking, but see no reasons why this will never catch up. There are fundamental limits on cognition. For one our…
You are correct, in that AI experts may not be the best predictors for AGI. For one, they spend their lives working towards the goal of AGI, so it would require a huge amount of cognitive dissonance for them to say that…