Gregory's ServerBUT the current proposals to alleviate this imbalance largely exacerbate it. Insofar as they amount to gov paying Big Tech to get academics access to Big Tech resources. This strengthens Big Tech control & further normalize access to Big Tech infra as "the way AI gets done." 4/
|
6 comments
 In reality, there is a thick cloud of smokey hype around AI, and it's not clear that the promises being made by the corps betting billions will ever be fulfilled (IMO gen AI is ~a solution in search of a problem so big it justifies the $$ to create/run it, which few do). 6/ Which raises a much more urgent question: does AI justify the diversion of such funding from, say, libraries, parks, schools, etc. to Google, Amazon, Microsoft on behalf of research? And if so, where's the hard proof backing this significant tradeoff? 7/ For more, a paper I wrote a few years ago: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4135581 8/ And this stellar report from Sarah Myers West and Jai Vipra, via AI Now. 9/ https://ainowinstitute.org/publication/policy/compute-and-ai (Bonus, for the vocab builders among us, the word 'iatrogenic' is helpful in metaphorically describing the false solution space current proposals present.) |
But it's not just this. By accepting the frame that such access is vital/necessary, we're buying into Big Tech marketing that says AI is real, lasting, and requires the diversion of billion$ (that could be spent otherwise). 5/