How Generative AI will Develop in the West VS the East

As most of us over here tend to provide a very Western-centric vision about GenAI, Peter Hinssen wanted to interview my friend, business Partner and China Keynote Speaker Pascal Coppens to offer us a fresh perspective from the East.
This is a special episode of our podcast "Radar - by nexxworks".

[@PhilipWong55]

Historically, the West has utilized new technologies for military or imperialistic purposes before finding broader applications. The West primarily used gunpowder to create weapons of war, such as cannons and firearms, allowing Western powers to expand their military capabilities and exert dominance over other regions through conquest and colonization of the Americas, Africa, and Asia. The steam engine was instrumental in expanding colonial empires, as steam-powered ships facilitated easier transportation of goods and troops, enabling Western powers to exploit resources and establish control over distant territories. The first use of nuclear technology was dropping atomic bombs on the Japanese cities of Hiroshima and Nagasaki in 1945. The same pattern will emerge with AI. The CHIPS Act, high-end chips, and EUV sanctions imply that the US is already working on the weaponization of AI.
Following its historical pattern, China will mainly use AI for commercial and peaceful purposes. Papermaking revolutionized communication, education, and record-keeping, spreading knowledge and culture. Gunpowder was used for fireworks. The compass was adapted for navigational purposes, allowing for more accurate sea travel and exploration. Printing facilitated the dissemination of information, literature, and art, contributing to cultural exchange and education. Porcelain was highly prized both domestically and internationally as a luxury item and a symbol of Chinese craftsmanship. Silk was one of the most valuable commodities traded along the Silk Road and played a significant role in China's economy and diplomacy.

[@tedchandran]

Jai Hinduja. We Indians are possibly the best AI talents once we are focused on its development. However how many brainy talents will stay back at home in India?

[@tonysu8860]

Urgh. I appreciate the personal takes on AI but I didn't get too much out of this video. Interesting that this video was published a month before the Google algorithm suggested this video to me. You'd think that practically any video on AI but as of this comment I'm writing it has had only 604 views in a channel with 1.6k subscribers.
There's not much substance in this video to go with the perspectives and opinions.
Not singling out this video especially but I have a fundamental complaint about all videos that talk about AI not defining their idea of AI. Plenty of people have a different idea what AI is, but I draw a distinct line between repurposing "old technology" and actual intelligence or a very strong facsimile of intelligence, and nowadays true creativity. This last concept of creativity can unfortunately be very subjective, it's well known that technology appears to be magic (and creative) to the less knowledgeable but the more you know how something works, the less magical it becomes.
This is my point... AFAIK this new AGI is not a decade old, at least not in its current incarnation. As a recognized leader in AGI, I doubt OpenAI has been working on ChatGPT for that long. Other types of AI have been around longer.
Deepmind's AlphaZero technology with its rather innovative approach to machine learning launched its Chess and go playing demos in 2017. But no one should confuse AlphaZero technology with AGI or LLMs.
And, other AI have been around for longer.
ComputerVision has been around for decades and is used to analyze graphical images. It's commonly used for facial recognition, security cameras, identifying cancer cells in MRIs, analysis of satellite images and zillions of other things.
Some people consider website analysis of User habits like what Amazon pioneered to upsell and suggest additional purchases as primitive forms of AI.
Some things I don't consider AI are simple web queries and results. Attaching an interface that tries to understand the meaning of words rather than using only the literal words might touch on "intelligence" but so far I'm not seeing anything special. Data mining and Big Data Analysis has been ferreting out surprising patterns in data for close to 2 decades and isn't particularly innovative today. Merging pictures of people has been entertainment for as long as I can remember graphical apps existed on computers.
The point is that there are many types of AI, and if anyone is going to talk about the history of AI or their observations, they should be specific about what they're talking about.