DeepLearning.AI founder warns against the dangers of AI during annual meeting of globalist WEF

01/19/2024 / By Belle Carter

A World Economic Forum (WEF) annual meeting attendee who is also a proponent of artificial intelligence (AI) technology warned against the dangers of its applications.

DeepLearning.AI founder Andrew Ng said during the gathering of the globalist non-governmental organization for public-private sector collaboration in Davos, Switzerland, from January 15 to 19, that it is essential to regulate applications. “Sensationalist statements about hypothetical harm related to AI tend to get amplified, while relatively little attention is paid to thoughtful, balanced statements about actual AI risks.

Likely problems are lurking in many applications. For example, systems that can emotionally manipulate people for profit,” he said, which some may say is a natural stance for a person selling some version of AI.

The education tech company bigwig added that it is important to differentiate between regulating applications versus regulating technology. “Regulations that impose burdensome requirements on open-source software or AI technology development can hamper innovation, have anti-competitive effects that favor big tech, and slow our ability to bring benefits to everyone,” Ng said.

He also suggested that “AI applications” be designated according to degree of risk, namely: “clear” and “actually risky” such as in cases mentioning medical devices. But then, his “clear” identification becomes muddier because of the threat of “disinformation.” According to him, “chat systems potentially spewing disinformation” is something that is “actually risky” and needs to be censored or regulated in a “tiered” manner. (Related: Globalist WEF claims MISINFO and DISINFO are the greatest threats to humanity.)

NG, other AI experts: World is running out of data on the internet

On Jan. 16, AI experts like Ng sat down for a panel discussion titled “The Expanding Universe of Generative Models.” Other in attendance were Yann LeCun, Turing Award-winning computer scientist often called one of the Godfathers of AI; Daphne Koller, founder and CEO of Insitro Inc and a co-founder of Coursera; Kai Fu Lee, Computer Scientist and founder of 01.AI Pte; and Aidan Gomez, co-founder and CEO of Cohere Inc.

These experts agreed on one thing: The world is now running out of data on the internet to capture and process following the first boom of generative models and generative AI in recent years.

LeCun said people have used all the public data on the internet, although a single person would take 150,000-200,000 years to read all of them.

“Data has been the single biggest enabler to the incredible amount of Gen AI progress we have seen so far. We have just scratched the surface of the data that is going to become available. We have agents in place with augmented reality. There is data hidden in silos, we have to make it more interactive,” Koller added.

Meanwhile, Ng further warned that the ceiling will get harder to break in the next phase citing how the world has seen the text revolution happen last year. “I think this year we will see the image processing revolution take place. I am seeing a lot of revolution happen in automation rather than prompt LLM [large language model], get a response, etc.,” he said. “We are used to running LLMs in the Cloud but now with more open source, we will be running a lot of LLMs on our own devices. We have all of these vectors of innovation and I am optimistic about the opportunity.”

For Lee, the pace of innovation that was seen in generative AI last year will likely slow down a bit, but it will continue to grow. After adding more computing and data, there’s a scope for more fine-tuning into different aspects as more and more entrepreneurs get into the game, he said, adding that one shouldn’t be missing on the commercial value text-based LLMs have.

Gomez agreed, saying: “We have huge bottlenecks today, we already know the limitations in the architecture we have and the methods we are using. At the same time, hardware is getting better. The next generation of GPUs is going to be a big step over the generation we have today, it will unlock a much bigger scale.”

Check out FutureScienceNews.com for updates on AI technology and the repercussions of its applications.

Watch the video below that talks about deception and debauchery happening in Davos during WEF 2024.

This video is from Son of the Republic channel on Brighteon.com.