3 Matching Annotations
  1. Feb 2024
    1. The experiences of the atomic scientists clearly show the need to takepersonal responsibility, the danger that things will move too fast, andthe way in which a process can take on a life of its own. We can, as theydid, create insurmountable problems in almost no time flat. We mustdo more thinking up front if we are not to be similarly surprised andshocked by the consequences of our inventions.

      Bill Joy's mention that insurmountable problems can "take on a life of [their] own" is a spectacular reason for having a solid definition of what "life" is, so that we might have better means of subverting it in specific and potentially catastrophic situations.

    2. The GNR technologies do not divide clearly into commercial andmilitary uses; given their potential in the market, it’s hard to imaginepursuing them only in national laboratories. With their widespreadcommercial pursuit, enforcing relinquishment will require a verificationregime similar to that for biological weapons, but on an unprecedentedscale. This, inevitably, will raise tensions between our individual pri-vacy and desire for proprietary information, and the need for verifica-tion to protect us all. We will undoubtedly encounter strong resistanceto this loss of privacy and freedom of action.

      While Joy looks at the Biological and Chemical Weapons Conventions as well as nuclear nonproliferation ideas, the entirety of what he's looking at is also embedded in the idea of gun control in the United States as well. We could choose better, but we actively choose against our better interests.

      What role does toxic capitalism have in pushing us towards these antithetical goals? The gun industry and gun lobby have had tremendous interest on that front. Surely ChatGPT and other LLM and AI tools will begin pushing on the profitmaking levers shortly.

  2. Apr 2022
    1. Since most of our feeds rely on either machine algorithms or human curation, there is very little control over what we actually want to see.

      While algorithmic feeds and "artificial intelligences" might control large swaths of what we see in our passive acquisition modes, we can and certainly should spend more of our time in active search modes which don't employ these tools or methods.

      How might we better blend our passive and active modes of search and discovery while still having and maintaining the value of serendipity in our workflows?

      Consider the loss of library stacks in our research workflows? We've lost some of the serendipity of seeing the book titles on the shelf that are adjacent to the one we're looking for. What about the books just above and below it? How do we replicate that sort of serendipity into our digital world?

      How do we help prevent the shiny object syndrome? How can stay on task rather than move onto the next pretty thing or topic presented to us by an algorithmic feed so that we can accomplish the task we set out to do? Certainly bookmarking a thing or a topic for later follow up can be useful so we don't go too far afield, but what other methods might we use? How can we optimize our random walks through life and a sea of information to tie disparate parts of everything together? Do we need to only rely on doing it as a broader species? Can smaller subgroups accomplish this if carefully planned or is exploring the problem space only possible at mass scale? And even then we may be under shooting the goal by an order of magnitude (or ten)?