Reading Suggestions (#1)

I can’t keep up with weekly or either monthly reading suggestions so here’s just a few interesting articles from the not so distant past that worth looking into. I mostly work on my pali primer translation these days, as I decided to drop the english to pali translation exercises and save some time so I may be able to finish it soonish. The actual reason for my decision will be explained in the final document, if anyone is interested. There was also a question about an improved edition of Mooncorridor that may happen in the future but I have no idea about the exact date.

Moore’s law is ending in the near future as physical measures and more specifically the quantum realm limits the application of transistors and electrical phenomena in general. There’s an interesting and short paper by HP labs, envisioning and thinking about our possibilities entering the next age of computing.

As consciousness becomes a more and more popular topic, so will be emergence (called higher level causation here) more studied by interdisciplinary means, there’s a new post that is a really good introduction written by a very special person working in one of the most important scientific fields of today that is complexity theory. Emergence is in the “heart” of computer science ever since the beginning, with famous examples of the work of J. H. Conway and Stephen Wolfram.

(The mentioned essay: Agent above, atom below)

Emulating or simulating the brain and it’s workings is only a matter of time. There is another ground breaking study from a month ago, of a cognitive topic of metaphors and categorization that may enable building and emulating mind-like behaviour. It’s important to note though that whatever systems we may build, we are simply mimicking (simulating) biology and these ways are not necessarily the way how our minds work (what would require biological emulation) – a compelling argument not to over-anthropomorphize these computing systems.

(For more information you can look up proper emulation projects such as SyNAPSE.)

On Real Life, there is a psychological guide to our online methods of reflecting on the self and building our image from pre-made assets of social media. As most of us use these websites employing algorithmic prediction that configures our access and content for us, it is an interesting question to discover these new categories built on-the-fly for us that may solidify existing norms and thoughts on what may count as self and knowledge as well.

And at last here is just some fun discussion without any further context.


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