We recently compiled a list of the Top 12 AI Stock News and Ratings Dominating Wall Street. In this article, we are going to take a look at where Tesla, Inc. (NASDAQ:TSLA) stands against the other AI stocks.
There is a growing concern in Silicon Valley that the progress around artificial intelligence is slowly "losing steam". CNBC's Deirdre Bosa explores whether AI progress is slowing, and what it means for the industry. Early signs of struggle are bubbling up in major tech names. As highlighted by Bosa, the first sign of things slowing down has been a lack of progression between models. OpenAI has led the pack in AI advancements, with each of the new models of ChatGPT exponentially better than the last.
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Unfortunately, the same can't be said about today. OpenAI's highly anticipated model Orion was expected to be a ground-breaking system bringing us closer to AGI. However, the initial vision is being scaled back.
"While Orion's performance ended up exceeding that of prior models, the increase in quality was far smaller compared with the jump between GPT-3 and GPT-4, the last two flagship models the company released, according to some OpenAI employees who have used or tested Orion".
The same roadblocks have been happening to other AI models, such as that by Anthropic. Just like OpenAI, Anthropic is also witnessing a timetable slip for the release of its long-awaited Claude model called 3.5 Opus.
"The AGI bubble is bursting a little bit. It's become clear that 'different training approaches' may be needed to make AI models work really well on a variety of tasks."
Even some of the big tech giants aren't enthusiastic about the progress AI has been making. Speaking during the New York Times annual DealBook summit at Jazz at Lincoln Center, Sundar Pichai stated how generative AI won't be changing lives in 2025 -- at least, not more than it already has.
"I think the progress is going to get harder. When I look at [2025], the low-hanging fruit is gone. The hill is steeper ... You're definitely going to need deeper breakthroughs as we get to the next stage".
However, if progress is plateauing, it has to do with scaling laws. Anthropic CEO Dario Amodei states that the scaling laws are a misnomer. He emphasizes that while these patterns have historically guided AI development -- suggesting that increasing data and computational power leads to improved AI capabilities -- they are not guaranteed to continue indefinitely.