AI pioneer Fei-Fei Li has a vision for computer vision

&gt; Li: My lame example is if I have a flat tire on the highway, what do I do? Right now, I open a “how to change a tire” video. But if I could put on glasses and see what’s going on with my car and then be guided through that process, that would be cool. But that’s a lame example. You can think about cooking, you can think about sculpting—fun things.<p>Kind of wild that the new Google AI demo app basically already does this. It&#x27;s hard to even imagine what&#x27;s possible... we need more future-dreaming sci-fi.

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I think the key feature of great AR is that we don&#x27;t have it yet, so there are no limits on what capabilities you can imagine it could have.<p>If you instead think of each dreamed about great AR application as a smartphone app, an uncomfortable realism creeps in about how apps work and that someone has to build and integrate them<p>&quot;But if I could put on glasses and see what’s going on with my car and then be guided through that process, that would be cool. &quot;<p>It would. And if we built that smartphone app, it would be really useful today. But doing that, for the general case of &quot;what am I looking at, and how do I fix it&quot; is AGI-hard

It seems to me, her example is a way of saying, write better documentation&#x2F;manuals. Better recipes, better car tire change.

I found out about Fei Fei Li when Computer History Museum hosted her for an interview on her life&#x27;s work (1hr 16m) <a href="https:&#x2F;&#x2F;youtu.be&#x2F;JgQ1FJ_wow8" rel="nofollow">https:&#x2F;&#x2F;youtu.be&#x2F;JgQ1FJ_wow8</a>

I might be rude for this comment, but can anyone explain what did Fei-Fei Li accomplish in AI to be considered a pioneer?<p>I read her autobiography and I still do not understand. The only thing she did was create the ImageNet dataset, by paying Amazon Mechanical Turk. Am I missing something? I don’t understand how is she in the same breathe as Cunn, Goodfellow, Hinton, even Karpathy?

I think the AI eye will be the trend of the future

The whole interview feels weird like its a giant PR&#x2F;advertisement justification for her $250 million raise<p>This comes as peculiar, the 3d world generation demo that was on HN a short while ago was quite lackluster—many commented how underwhelming the end product was despite the insane valuation and world names working on the product.<p>I&#x27;m getting Theranos vibes all over again. I certainly hope this isn&#x27;t another grift by getting our guards down as it was with Elizabeth Holmes.

I think she&#x27;s obviously right.<p>The reason that cars make stupid mistakes that a human never would, is that cars are trained to classify 2D images (and act accordingly). Humans on the other hand have a 3D model of the world that understands what is and isn&#x27;t possible, and are trained to map 2D images to that 3D space.<p>The world is 3D so obviously the latter approach works way better.