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Joined 2Y ago
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Cake day: Jun 12, 2023

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I’m not so sure we’re missing that much personally, I think it’s more just sheer scale, as well as the complexity of the input and output connections (I guess unlike machine learning networks, living things tend to have a much more ‘fuzzy’ sense of inputs and outputs). And of course sheer computational speed; our virtual networks are basically at a standstill compared to the paralellism of a real brain.

Just my thoughts though!


While true that the x nm nomenclature doesn’t match physical feature size anymore, it’s definitely not just marketing bs. The process nodes are very significant and very (very) challenging technological steps, that yield power efficiency gains in the dozens of % usually.


To me, what is surprising is that people refuse to see the similarity between how our brains work and how neural networks work. I mean, it’s in the name. We are fundamentally the same, just on different scales. I belive we work exactly like that, but with way more inputs and outputs and way deeper network, but fundamental principles i think are the same.


They do also use an antireflective coating/paint on the satellites now, which had helped quite a lot.


What do you mean 20 years ol-… holy fuck they’re right. I am sad now.


Same for me. As long as opening Relay brings me to reddit, it’s hard to stop using it. But once that stops, or becomes ad ridden or whatever, there’s no way in hell I will install the official reddit app or anything like that, and I hate using a browser on mobile so not doing that either… So yeah. That’ll be it for me. So far Beehaw/lemmy is shaping up to replace it though.