Deep Learning and Neural Networks Drive a Potential $7.9 Trillion AI Economy - Seite 2

"I am honored to lead Scope AI and very excited about the opportunity to work with such a talented team with incredible tech," said James Young, new CEO of Scope AI. "Together, we will build a strong foundation and drive sustainable growth in the years ahead."

Another CEO that's championing AI and sees where it is headed is one of the Top 3 richest people in the world, namely Elon Musk, CEO of Tesla, Inc. (NASDAQ: TSLA) (NEO: TSLA). According to Musk, not only is AI advancing rapidly, but he believes that the tech sector will achieve what's known as Artificial General Intelligence (AGI) within the next two years. The concept of AGI is that of a theoretical AI system with capabilities that rival or even surpass those of a human, which many researchers believe we are still decades, if not centuries, away from achieving.

Musk sees this challenge and is engaging in what he calls the "craziest talent war I've ever seen" to secure the best AI engineers on the planet, having recently boosted his company's engineers' pay grades to keep them away from potential poachers. Another bold idea that Musk has recently floated is the potential use of Tesla's massive fleet of EVs to power a cloud computing service that would rival Amazon's AWS.

"There's a potential... when the car is not moving to actually run distributed inference," said Musk on a recent earnings call with investors. "If you imagine the future perhaps where there's a fleet of 100 million Teslas and on average, they've got like maybe a kilowatt of inference compute. That's 100 gigawatts of inference compute, distributed all around the world."

Meanwhile, Tesla is also enticing customers with a 33% drop in price for its Full Self-Driving software in its vehicles. Musk has even claimed that Tesla vehicles equipped with Full Self-Driving (FSD) capabilities are "appreciating assets," potentially valued between $100,000 and $200,000—due to their potential as robotaxis. Tesla first released its FSD v12 earlier this year, letting its vehicle's controls to be handled by neural nets rather than being coded by programmers.

Much like Scope AI's GEM, the visual recognition capabilities of Tesla's systems are constantly learning by what they see and absorb in terms of data.

"FSD Beta v12 upgrades the city-streets driving stack to a single end-to-end neural network trained on millions of video clips, replacing over 300k lines of explicit C++ code," said Tesla in the release notes of the v12 update. This means that the vehicle's behaviours will also be powered by AI at all times, like its vision system, rather than being coded by engineers.