Via Larry Panozzo. The article explicitly points out something I’ve been noticing for a while: at each stage of the development of technology, the previous stage’s cutting edge is packaged and standardised so that it can be treated as self-contained building blocks to make the next stage, which is why a twelve-year-old can now program a successful mobile game that would once have been beyond the most advanced computer scientists.
At the end, it talks about virtual decision support advisors, which sparked the thought: what about a future election where everyone used these advisors to decide who to vote for? All of a sudden, the candidates would need to switch from convincing voters to convincing AIs that their policies would benefit voters…
Originally shared by Ward Plunet
Deep Learning trying to go wide
A company called Bonsai joins a movement to democratize machine learning. Get ready to build your own neural net.
…But what if you could get the benefits of AI without having to hire those hard-to-find and expensive-to-woo talents? What if smart software could lower the bar? Could you get deep learning with a shallower talent pool? A startup called Bonsai and an emerging class of companies with the same idea say yes. Brace yourself for the democratization of AI. It’s a movement that might eventually include millions of people — and, some say, billions.
