The pace that ML seems to be advancing right now is amazing. I don’t believe in the singularity but it’s changing software and then society in ways no one can predict.
Machine learning was up and coming in 2012 when I graduated college. Not to say it is a bad career choice, just that it's safe to say that ML's time has already come.
The results are living up. ML is integrated into the core of so many companies at this point it’s not like it was 10 years ago. ML is here to stay and it will be almost the entire economy in the not to distant future
ML is slowly approaching the blockchain bubble I think. You have ALOT of people just chucking random bs data into insert popular model and hoping for the best.
I think the ML hype is actually slowing down. I've been interviewing for ML positions as a new grad and a number of companies have told me they have an excess of data scientists who can train the models, but a dearth of engineers who can actually scale the models up to production. Friends at FAANGs have similar stories.
I agree completely. Doing novel things with ML is very, very, very hard, and (afaict) hasn’t been particularly successful at the startup level. But operatonalizing existing techniques is _very_ promising, and where I think a lot of the wins will come from.
What progress? We’re bruteforcing solutions without any way to learn from then. ML eliminates serendipity. I’m not strictly anti-ML. Horses for courses and all that, but I’ve got to admit I get weird, “The humans stopped learned and the computers started,” sci-fi vibes sometimes.
reply