Perspective.
WEIRD AI: Understanding what nations include in their artificial intelligence plans
In 2021 and 2022, the authors published a series of articles on how different countries are implementing their national artificial intelligence (AI) strategies. In these articles, we examined how different countries view AI and looked at their plans for evidence to support their goals. In the later series of papers, we examined who was winning and who was losing in the race to national AI governance, as well as the importance of people skills versus technology skills, and concluded with what the U.S. needs to do to become competitive in this domain.
Since these publications, several key developments have occurred in national AI governance and international collaborations. First, one of our key recommendations was that the U.S. and India create a partnership to work together on a joint national AI initiative. Our argument was as follows: “…India produces far more STEM graduates than the U.S., and the U.S. invests far more in technology infrastructure than India does. A U.S. -India partnership eclipses China in both dimensions and a successful partnership could allow the U.S. to quickly leapfrog China in all meaningful aspects of A.I.” In early 2023, U.S. President Biden announced a formal partnership with India to do exactly what we recommended to counter the growing threat of China and its AI supremacy.
Second, as we observed in our prior paper, the U.S. federal government has invested in AI, but largely in a decentralized approach. We warned that this approach, while it may ultimately develop the best AI solution, requires a long ramp up and hence may not achieve all its priorities.
Finally, we warned that China is already in the lead on the achievement of its national AI goals and predicted that it would continue to surpass the U.S. and other countries. News has now come that China is planning on doubling its investment in AI by 2026, and that the majority of the investment will be in new hardware solutions. The U.S. State Department also is now reporting that China leads the U.S. in 37 out of 44 key areas of AI. In short, China has expanded its lead in most AI areas, while the U.S. is falling further and further behind.
How LLMs work.
https://www.nytimes.com/interactive/2023/04/26/upshot/gpt-from-scratch.html
Watch an A.I. Learn to Write by Reading Nothing but Jane Austen
The core of an A.I. program like ChatGPT is something called a large language model: an algorithm that mimics the form of written language.
While the inner workings of these algorithms are notoriously opaque, the basic idea behind them is surprisingly simple. They are trained by going through mountains of internet text, repeatedly guessing the next few letters and then grading themselves against the real thing.
To show you what this process looks like, we trained six tiny language models starting from scratch. We’ve picked one trained on the complete works of Jane Austen, but you can choose a different path by selecting an option below. (And you can change your mind later.)
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