3 ms·

> TLDR is they convert photons into a multistereoscopic camera and reconstructing the brain’s behavior towards objects and motion… I just spent the time watchi

> TLDR is they convert photons into a multistereoscopic camera and reconstructing the brain’s behavior towards objects and motion… I just spent the time watching the vision segment of that video, and while the presenter uses the brain as a simile to motivate neural network architecture, it actually is not modeled at all on how primate visual cortex works. Seems some tweeps also got caught up in this hype. I think those few slides were really just to show the complexity of the problem. For parties interested in actual models of biological vision, https://serre-lab.clps.brown.edu/wp-content/uploads/2014/10/Serre-encyclopedia_revised.pdf https://serre-lab.clps.brown.edu/wp-content/uploads/2014/10/... is a good resource.

boboche 4y ago
Like I said, that was a while ago, If you watch all the follow-up interviews, including the recent TED talk with prior interview with the host, he does mention the process of thinking having solved it, exponential gains, then hitting a ceiling and having to change the approach. The biggest problem I see is not if they will solve it (that's just a question of time), its how they communicate their optimism and "almost there" but always pushing further. That's more than annoying (at best) and contributing extensively to the negativity. I guess they are trying to get people excited, attract talent, etc.