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by nico
235 days ago
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That’s a very interesting take. I hadn’t really considered evolution I guess if you really wanted to start from scratch, you could figure out how to evolve the whole system from a single cell or something like that. In some ways neural networks have kind of evolved in that way, assisted by humans. They started with a single perceptron, and have gone all the way to deep learning and convolutional networks I also remember a long time ago studying genetic and evolutionary algorithms, but they were pretty basic in terms of what they could learn and do, compared to modern LLMs Although recently I saw some research in which they were applying essentially genetic algorithms to merge model weights and produce models with new/evolved capabilities |
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Whether anyone likes it or not, these systems have co-evolved with us.
Hundreds of researchers contributing and just like English for example, it's ever-changing and evolving.
Given this trend, it's highly unlikely we won't achieve ASI.
It's not like hardware engineers stop innovating or venture capital stops wanting more. There might be a massive dip or even another AI winter but like the last one, eventually it picks up momentum again because there's clearly utility in these systems.
I've been coding for 25+ years and only a couple of days ago did it hit me that my profession has changed in a very dramatic way - I'm very critical of AI output, but I can read and comprehend code much quicker than I can write it relative to these systems.
Of course, that creates a barrier to holding a system in your head so going slow is something that should be pushed for when appropriate.