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Neuralink & Tesla have an AI problem that Elon’s money can’t solve

#1
C C Offline
https://thenextweb.com/news/neuralink-te...cant-solve

EXCERPTS: . . . The reality is that AI can’t do the things Musk needs it to do in order for Tesla and Neuralink to make good on his promises. Here’s why: AI has a serious “mapping” problem that Tesla, Neuralink, Google, Amazon, Facebook, Microsoft, OpenAI, DeepMind and the rest of the players in the field currently have no idea how to solve.

Elon’s money is useless here.

[...] Any “map” automatically suffers from severe data loss. In a “real” territory, you can count every blade of grass, every pebble, and every mud puddle. On a map, you just see a tiny representation of the immense reality. Maps are useful for directions, but if you’re trying to count the number of trees on your property or determine exactly how many wolverines are hiding in a nearby thicket, they’re pretty useless.

When we train a deep learning system to “understand” something, we have to feed it data. And when it comes to massively complex tasks such as driving a car or interpreting brain waves, it’s simply impossible to have all of the data. We just sort of map out a tiny-scale approximation of the problem and hope we can scale the algorithms to task.

This is the biggest problem in AI. It’s why Tesla can use Dojo to train its algorithms in millions, billions, or trillions of iterations – giving its vehicles more driving experience than that of every human who has ever existed combined — and, yet, it still makes inexplicable mistakes.

[...] Elon Musk may be the only AI “expert” who still believes deep learning-based computer vision alone is the key to self-driving vehicles. And the exact same problem applies to Neuralink, but at a much larger scale.

Experts believe there are more than 100 billion neurons in the human brain. Despite what Elon Musk may have recently tweeted, we don’t even have a basic map of those neurons.

[...] Recent studies indicate that different neurons light up in changing patterns even when brains access the same memories or thoughts more than once. In other words: if you perfectly map out what happens when a person thinks about ice cream, the next time they think about ice cream the old map could be completely useless.

[...] So how do you train an AI to model brain activity? You fake it. ... The equivalent of this would be if Spotify had to build robots and teach them to play the actual instruments used to make every song on the platform.

Every time you wanted to listen to “Beat It” by Michael Jackson, you’d have to put a training request in with the robots. They’d pick up the instruments and start making absolutely random noises for thousands or millions of training hours until they “hallucinated” something similar to “Beat It.”

As the AI changed its version of the song, its human developers would give it feedback to indicate if it was getting closer to the original tune or further away. Meanwhile, a semi-talented human musician could play the entire composition for just about any Michael Jackson song after only a couple of listens.

[...] People tend to assume Tesla and Neuralink are going to solve the AI problem because they have, essentially, unlimited backing. But, as Ian Goodfellow at Apple, Yann LeCun at Facebook, and Jeff Dean at Google can all tell you: if you could solve self-driving cars, the human brain, or AGI with money, it would have already been solved.

Musk may be the richest man alive, but even his wealth doesn’t eclipse the combined worth of the biggest companies in tech. And, what the general public doesn’t quite seem to grasp is this: Facebook, Google, and Tesla, and all the other AI companies are all working on the exact same AI problems.

[...] Money can’t buy a technological breakthrough (it doesn’t hurt, of course, but scientific miracles take more than funding). ... Perhaps that’s why Musk has expanded his recruitment efforts beyond researchers with a background in AI and is now trying to lure any computer science talent he can find.

The good news is that absolutely no amount of sober evaluation can dampen the spirits of Musk’s indefatigable fans. Whether he can deliver on the goods or not has no impact on the amount of worship he receives... (MORE - missing details)
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#2
Zinjanthropos Offline
Is there a need for AI to have ‘gut instincts’? This sounds like a Kirk vs Spock decision.
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