> 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's hard to even imagine what's possible... we need more future-dreaming sci-fi.
Recent and related:<p><i>A stubborn computer scientist accidentally launched the deep learning boom</i> - <a href="https://news.ycombinator.com/item?id=42106623">https://news.ycombinator.com/item?id=42106623</a> - Nov 2024 (39 comments)<p><i>The deep learning boom caught almost everyone by surprise</i> - <a href="https://news.ycombinator.com/item?id=42057139">https://news.ycombinator.com/item?id=42057139</a> - Nov 2024 (188 comments)
I think the key feature of great AR is that we don'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>"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. "<p>It would. And if we built that smartphone app, it would be really useful today. But doing that, for the general case of "what am I looking at, and how do I fix it" is AGI-hard
I found out about Fei Fei Li when Computer History Museum hosted her for an interview on her life's work (1hr 16m) <a href="https://youtu.be/JgQ1FJ_wow8" rel="nofollow">https://youtu.be/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?
The whole interview feels weird like its a giant PR/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'm getting Theranos vibes all over again. I certainly hope this isn't another grift by getting our guards down as it was with Elizabeth Holmes.
I think she'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'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.