[Question] Degree of duplication and coordination in projects that examine computing prices, AI progress, and related topics?

I have been noticing that an increasing number of organizations and researchers are looking into historical computing hardware prices, progress in AI systems, the relationship between hardware and AI progress, and related topics.

To list the research efforts/​outputs that I am aware of:

I am curious to hear about the degree of overlap/​duplication in this kind of work, and also the extent to which different groups are coordinating/​talking to each other (I also welcome other projects/​outputs that I missed in my list). In particular, I am potentially worried about a bunch of groups doing a lot of work “in-house” without coordination/​sharing work, leading to duplicated effort (and correspondingly fewer insights as different projects don’t build on each other). Another potential worry I have is if there are a bunch of scattered projects and no “clear winner”, it is more difficult for outsiders to form an opinion. There are also benefits to decentralization (it serves as a kind of replication to ensure independent efforts can reach the same conclusions; if there are differences in vision the most enlightened/​competent groups can work without being slowed down by coordinating with less competent groups; and so on).

Acknowledgments: Thanks to Vipul Naik for suggesting that I write this question up, and for paying for the time I spent writing the question.

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