NVIDIA is Supplying Weapons For The Ongoing AI War, Says Meta’s Chief Scientist

Meta's chief scientist sees the current state of the AI industry as an "ongoing war", claiming that NVIDIA's CEO Jensen Huang is supplying the weapons for it.

This coverage sort of gives a one-sided perspective of what professionals like Yann perceive about the AI industry, and his comments are fairly interesting, considering that he sees the current state of artificial intelligence as far from resembling "human" characteristics.

Moreover, Yann says that NVIDIA has "much to gain" from the AI hype, since NVIDIA's GPUs have played a vital role in the development of artificial general intelligence, and firms involved in the AI bandwagon are completely dependent on Team Green's AI chips to be on par with human-level intelligence.

“I know Jensen,” LeCun said at a recent event highlighting the Facebook parent company’s 10-year anniversary of its Fundamental AI Research team. LeCun said the Nvidia CEO has much to gain from the AI craze. “There is an AI war, and he’s supplying the weapons.”

Yann LeCun (Meta's Chief AI Scientist) via CNBC

Apart from the industry's state, Yann LeCun believes that the current progression of artificial intelligence through LLMs and text data isn't the "optimal" way, claiming that it won't be enough to create human-like AI systems.

Text is a very poor source of information. Train a system on the equivalent of 20,000 years of reading material, and they still don’t understand that if A is the same as B, then B is the same as A.

There’s a lot of really basic things about the world that they just don’t get through this kind of training.

Yann LeCun (Meta's Chief AI Scientist) via CNBC

Meta has recognized the inefficiency involved in training text data and language models, and the company has put up a new kind of model, known as transformer models. Such models are expected to discover the likely billions of hidden correlations between these various kinds of data. Moreover, Meta has also been working on multiple "assistance" models, which are designed for multiple consumer models, that make use of three-dimensional visual data in addition to text and audio, moving a bit away from conventional training data.

Meta's chief scientist also believes that the industry's shift on focus towards Quantum Computing isn't feasible, claiming that classical computing does the job much more efficiently.

The number of problems you can solve with quantum computing, you can solve way more efficiently with classical computers. Quantum computing is a fascinating scientific topic.

It’s less clear about the practical relevance and the possibility of actually fabricating quantum computers that are actually useful.

NVIDIA plays a crucial role in actually transitioning to next-gen AI capabilities, mainly through the computing power it offers through its hardware and software developments. Meta has highlighted the importance of NVIDIA's AI GPUs, through the utilization of thousands of AI chips that have aided the company in training their Llama AI model. Apart from Meta, companies like OpenAI, Microsoft, and Google are primary purchasers of NVIDIA's AI GPUs, which shows how important Team Green's products are when it comes to the development of the AI sector.