Morgan Stanley affirms ‘overweight’ amid AI growth and political tailwind from Trump administration

We have recently compiled a list of 15 AI news that broke the internet. In this article, we will take a look at where Tesla, Inc. (NASDAQ:TSLA) faces the other AI stocks that broke the Internet.

A conversation gaining traction in Silicon Valley these days is how the development of Generative AI models is slowing down. Deirdre Bosa takes a look at the matter in CNBC’s TechCheck and reveals how rapid genAI progress is now showing signs of deceleration. She notes how the quality of improvements in OpenAI’s upcoming model, Orion, is expected to be less than the jump from ChatGPT-3 to ChatGPT-4. This smaller advance is largely due to a limited supply of training data, a key factor that can significantly influence how investors view AI companies.

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Nevertheless, OpenAI CEO Sam Altman has boasted on X that ChatGPT is now the eighth largest website in the world by traffic. In October, ChatGPT had 3.7 billion visits, against Perplexity’s 91 million visits and Google Gemini’s 292 million visits. Nevertheless, the plateau in technological progress does not necessarily mean a slowdown. For example, Mark Zuckerberg suggests that there are many opportunities to build consumer enterprise applications on top of existing technology.

Although it is certainly a possibility, Reuters has reported that AI companies are seeking a new path to smarter AI due to the plateau. Ilya Sutskever, co-founder of AI labs Safe Superintelligence (SSI) and OpenAI, recently told Reuters that scaling up pre-training for AI models, which involves using large amounts of unlabeled data to learn language patterns, has reached a plateau.

“The 2010s was the age of scaling, now we’re back in the age of wonder and discovery again. Everyone is looking for the next thing. Scaling the right thing matters more now than ever.”

In light of this, researchers are now looking at a technique called “time testing compute” to improve models during the “inference” phase when such models are used. The technique will allow the model to test different possibilities instead of giving a single answer. The implications of the technique are far-reaching and have the potential to change the competitive landscape of AI hardware.

Fortune predicts GenAI funding will slow this year. However, it also believes that the industry’s latest breakthroughs are among the most profound technological advances of our time. Regardless of the slowdown in GenAI models, artificial intelligence continues to be a breakthrough in many industries today.