Isn't it interesting to note that a year after this thread talked about the "power of few" who are taking on the mantle of AI revolution, the emergence of China’s DeepSeek as a powerful and cost-efficient open-source language model has been a game-changer, with scholars examining its impact on technology, geopolitics, the arts, and more.
DeepSeek has challenged the preconceived notions regarding the capital and computational resources necessary for serious advancements in AI that was traditionally held my large US corporations. If China can do this in 2024-2025, so can India, Brazil, Korea, Isreal, Japan, UAE in a year.
"Indeed, the number of people who can *really* develop frontier AI systems; whether to commercialise or 'contain' them - is infinitesimally small." -- I am not so sure about that. Yes, the success and attention that OpenAI got is unprecedented, no doubt. But the development of frontier AI systems is a global phenomenon. It is not happening in a vacuum, and it is not being driven by any single group of people. There are many different stakeholders involved in the development of AI.
Agreed it’s bigger than Open AI, and will become bigger. But relative to the impact - the numbers are still very small. For example, how many people really know how to build an LLM? Maybe a few thousand ?
True. LLMs hold immense potential, many companies are yet to effectively harness their capabilities. But LLMs represent a significant piece of the AI landscape, but they are not the sole solution. I am more on the skeptic side. The lack of data maturity, data quality concerns, trust issues, and emerging regulations are likely to hinder the rapid growth of this technology.
Isn't it interesting to note that a year after this thread talked about the "power of few" who are taking on the mantle of AI revolution, the emergence of China’s DeepSeek as a powerful and cost-efficient open-source language model has been a game-changer, with scholars examining its impact on technology, geopolitics, the arts, and more.
DeepSeek has challenged the preconceived notions regarding the capital and computational resources necessary for serious advancements in AI that was traditionally held my large US corporations. If China can do this in 2024-2025, so can India, Brazil, Korea, Isreal, Japan, UAE in a year.
"Indeed, the number of people who can *really* develop frontier AI systems; whether to commercialise or 'contain' them - is infinitesimally small." -- I am not so sure about that. Yes, the success and attention that OpenAI got is unprecedented, no doubt. But the development of frontier AI systems is a global phenomenon. It is not happening in a vacuum, and it is not being driven by any single group of people. There are many different stakeholders involved in the development of AI.
Agreed it’s bigger than Open AI, and will become bigger. But relative to the impact - the numbers are still very small. For example, how many people really know how to build an LLM? Maybe a few thousand ?
True. LLMs hold immense potential, many companies are yet to effectively harness their capabilities. But LLMs represent a significant piece of the AI landscape, but they are not the sole solution. I am more on the skeptic side. The lack of data maturity, data quality concerns, trust issues, and emerging regulations are likely to hinder the rapid growth of this technology.