We Asked People Around the World How They Feel About AI. Here’s What We Learned

I&#x27;m mostly just tired of all the hype, and at this point really wouldn&#x27;t mind another AI winter.<p>Machine learning ended up being a useful technique to add to the classical computer vision toolbox to do things like object identification and semantic segmentation. These things were almost impossible to do robustly before, and now they&#x27;re relatively straightforward, if still a bit challenging.<p>Same with audio identification and synthesis. It&#x27;s a lot better than the old Markov chain based systems for these specific tasks.<p>But that&#x27;s about it - it&#x27;s useful as a <i>tool</i> for certain classes of highly specific tasks, but has been largely crap everywhere else.<p>The promised super smart products that were end-to-end &quot;AI&quot; never really materialized. Smart speakers are shitty and pointless. And IBM renamed all of their products Watson.

AI does not exist. There is no &#x27;intelligence&#x27; in ML model.

10% of the world &quot;well educated&quot; about AI, that&#x27;s not how I would usually use that term.

Interesting to see how much more excitement there is for AI in the developing world. They&#x27;re the ones with the biggest problems so it makes sense. Seems NA&#x2F;Europe feels like they have the most to lose. While the reality should hopefully be win-win, it does seem likely to level the playing field around the world. But a hyper-capitalist country like the US is definitely going to have the biggest social challenges adapting to job losses.

Al who?

Open AI GPT-2 model is pure trash, and self driving cars don’t work. These could be considered break throughs, or AI beyond what we’ve seen, if they worked.<p>Until one of these two works as promised, AI is a failure and neural networks are still just simple stacked linear regressions. They aren’t greater than the sum of their parts.