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ClaraChengGo
@ClaraChengGo
Babysitting robots with model-ready data at @openmind_agi @fabricFND
Joined June 2022
4.4K Following    6.8K Followers
Take a breath and let's see how exactly other evolutionary tech "pace their frontier". It's not only for AI. The growth for an evolutionary tech usually comes its creators turned to another side (at least it seems so) and advocate to slow down. Nuclear controls the supply chain. We realised in Hiroshima, Nagasaki and Cuban, then paced its fronteir by controlling uranium and plutonium. Gene editing takes tier. We realised when we see the gene-edited baby IRL and paced it frontier by continuing omatic gene editing but not for heritable germline editing. It's not the first time for us to stand at the edge of the frontier and hope to pace something ambiguous but mind-blowing and transformative. I am not Dario, Sam or Elon. But I predict similar patterns happen when we build up: (1) classification: discuss the regulatory case by case (2) permission: liscense / commitee, this is where new authority will form (3) monitor: publicity and transparency But one ultimate difference is that AI swallows the whole stack. A more powerful nuclear bomb can't enable people to produce more uranium. A gene-edited baby can't further edit the genes by itself. But a new version of model swallows what's been built across the full stack, recursively. For the first time we have something with RSI. That's what indeed matters.
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