I thought this story was kinda scary… looks like some kind of deep learning arms race might already be starting among SV companies. If it’s true that deep learning experts can expect to make seven-figure salaries, I assume that lots of budding computer scientists are going to start studying up on it :(
Stuart Russell said recently “The commercial investment in AI the last five years has exceeded the entire world wide government investment in AI research since it’s beginnings in the 1950′s.”
Stuart Russell said recently “The commercial investment in AI the last five years has exceeded the entire world wide government investment in AI research since it’s beginnings in the 1950′s.”
That would be astonishing if true, but I have to be doubtful. Does Russell provide sources for this? The last 5 years is not much time to outspend the cumulative total of MIT AI Lab, the Fifth Generation Project, a fair number of DARPA’s projects, the AI Winter, and all AI groups for half a century.
It’s not pure AI startups. But pure AI startups are a subset of them and have probably grown along the same trend.
That would be astonishing if true, but I have to be doubtful.
All the big tech companies have created big machine learning teams and hired tons of researchers. Google, Facebook, Baidu, IBM, and I think Apple. And beyond that there are a ton of smaller companies and startups.
Peter Norvig commented that “his company [Google] already employed ‘less than 50 percent but certainly more than 5 percent’ of the world’s leading experts in machine learning”.
But pure AI startups are a subset of them and have probably grown along the same trend.
Self-assigned labeling and marketing info seems highly doubtful, given things like the AI Winter and the spread of AI techniques outside of whatever is deemed ‘AI’ at that moment in time. (Consider Symbolics selling Lisp machines: a hardware platform whose selling points were GC support, large amounts of RAM, high-end color displays, and a rich interpreted software ecosystem with excellent hypertext documentation and networking support, all in a compact physical package, sold for developers and catering to areas like oil field exploration. If a Lisp machine were sold now, would we call its manufacturer an AI company? Or would we call it a Chromebook?) And now that AI is hot, every company which uses some random machine-learning technique like random forests is tempted to brand itself as an AI startup. Trends show as much what is trendy as anything.
All the big tech companies have created big machine learning teams and hired tons of researchers...Peter Norvig commented that “his company [Google] already employed ‘less than 50 percent but certainly more than 5 percent’ of the world’s leading experts in machine learning”.
I am sure they have, but that’s very different from the claim being made. If this year you hire, say, a full 50% of a field’s researchers, that’s still not spending more than that field’s cumulative expenses for half a century; that’s spending, well, half its expenses that year.
I thought this story was kinda scary… looks like some kind of deep learning arms race might already be starting among SV companies. If it’s true that deep learning experts can expect to make seven-figure salaries, I assume that lots of budding computer scientists are going to start studying up on it :(
Take a look at this image.
Stuart Russell said recently “The commercial investment in AI the last five years has exceeded the entire world wide government investment in AI research since it’s beginnings in the 1950′s.”
Is ‘pure AI startups’ the relevant category here?
That would be astonishing if true, but I have to be doubtful. Does Russell provide sources for this? The last 5 years is not much time to outspend the cumulative total of MIT AI Lab, the Fifth Generation Project, a fair number of DARPA’s projects, the AI Winter, and all AI groups for half a century.
It’s not pure AI startups. But pure AI startups are a subset of them and have probably grown along the same trend.
All the big tech companies have created big machine learning teams and hired tons of researchers. Google, Facebook, Baidu, IBM, and I think Apple. And beyond that there are a ton of smaller companies and startups.
Peter Norvig commented that “his company [Google] already employed ‘less than 50 percent but certainly more than 5 percent’ of the world’s leading experts in machine learning”.
Self-assigned labeling and marketing info seems highly doubtful, given things like the AI Winter and the spread of AI techniques outside of whatever is deemed ‘AI’ at that moment in time. (Consider Symbolics selling Lisp machines: a hardware platform whose selling points were GC support, large amounts of RAM, high-end color displays, and a rich interpreted software ecosystem with excellent hypertext documentation and networking support, all in a compact physical package, sold for developers and catering to areas like oil field exploration. If a Lisp machine were sold now, would we call its manufacturer an AI company? Or would we call it a Chromebook?) And now that AI is hot, every company which uses some random machine-learning technique like random forests is tempted to brand itself as an AI startup. Trends show as much what is trendy as anything.
I am sure they have, but that’s very different from the claim being made. If this year you hire, say, a full 50% of a field’s researchers, that’s still not spending more than that field’s cumulative expenses for half a century; that’s spending, well, half its expenses that year.
Just FYI to readers: the source of the first image is here.