[tlb]

I believe AI will more than likely remain squarely in large enterprise since the cost of developing applications will be high.

For perspective, the same thing was said about search engines in 1995. At the time, server-class computers (big DEC and Sun boxes) were expensive. Altavista had a computer nobody could buy. But it turned out, with some cleverness you could use commodity PCs instead. NVidia is doing impressive work to bring the price/performance of hardware down. I think the vast majority of applications will be possible on a startup budget.

I also think data sets will become more common and less critical over time. Unsupervised and reinforcement learning require less external data. And so much data is available openly.

[vasilipupkin]

"For perspective, the same thing was said about search engines in 1995"

yeah, and since then, we've basically had 2 major search engines developed. Google and Bing :) and bing development cost billions

[jsemrau]

And even with all that investment Bing is not even working that well. It is good, but not on a Google level.

[maaku]

Do you realize how much computing power is behind google search?

[taneq]

I'd be interested in the amount of computing power per searchable web page. Sure, there's a huge amount of computing power behind Google's web services but I'd lay odds that it's much more efficient than it used to be. The internet is huge.