RE: The Costs of AI: A Promising Yet Precarious Path

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This is an interesting review, because so much is said about AI nowadays.
Regarding the comparison of the early days of the Internet development, which culminated with the dominance of the search engine market by Google, the social media by Facebook, and the online retail market by Amazon, the role of the necessary, large-scale infrastructure has been paramount.
I am not sure though, how this model can apply to AI.
What are your thoughts?



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AI’s impact is broader, touching multiple sectors from healthcare to transportation.

However, the potential for early AI leaders to establish dominance through network effects and data moats cannot be ignored. This could mirror the concentration of power seen in the early Internet era but in a more dispersed and varied application landscape. The evolution of AI might thus follow a different path, influenced by unique infrastructural demands and the wide-ranging implications of AI technologies.

While infrastructure plays a pivotal role in the rise of AI, the technology’s diverse applications and the complexities of data and computing resources suggest a multifaceted landscape of dominance, different from the concentrated power dynamics observed with the Internet giants.

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Simply fascinating.
Having had firsthand experience of the introduction of the Internet and web technologies in an academic environment back in the day, I hope that the (not so) new baby, i.e. AI, has a similarly bright future.
Who knows how things will be like in 10-20 years?
If you described modern technology to someone back in the 90s, I don't think they would believe you.

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