On Thursday, December 31, 2020, at 8:40 PM, Colin Hales wrote: > (i) Observation of a natural context (empirical science).
> (ii) Observation of artificial versions of the natural context. Call this engineered or replicated nature a ‘scientifically-artificial’ version of nature (empirical science). > (iii) Creation of abstract models predictive of the properties of the natural context observable in (i) and (ii) (theoretical science). Dude the brain doesn't depend on particles, atoms, cells, and a lot of other stuff. We can simulate bubbles without atoms. GPT-2 does not simulate / need atoms or other physics, the "atom" for GPT-2 or at least in my pre-AGI is "memories" of sequences like abcdef... (i) and (iii) ok ... but (ii) IS already being done when we create things like GPT-2 and then observe GPT-2, because (ii) says "Observation of artificial versions" and GPT-2 IS an artificial "brain" that we then observe (my AI is not a black box or uses backpropagation like GPT-2 does yet will perform on par or better than GPT-2, and is much more natural just like a real human brain you'll see soon in a month). Colin, if you have an AI (aka one you came up with, or not) that you want to run, you do it either of 2 ways, either run it on a computer simulated, or on a hardware chip/ etc "for real" or at least more realer than a computer at least. The neuromorphic chips are hardware that run specifically AI algorithms and therefore can run them faster, that's why they are called hardware accelerators. They are less general at computing, but faster for AI algorithms - that's the trade off. You said you can run your AI on a computer, so how does your AI work then!? Does it use backprop? How does it find Patterns in Data ex. 'z' is the least common letter or eat usually follows dog. The only thing that exists in the universe is patterns, else all would be random and could not use any past experience memories to improve prediction decision making. And, if you want to run your AI on a real hardware accelerator to speed it up merely, why are you suggesting you can only make AI if run it on a accelerator? I thought, you said, you can run it on a computer? You say you want to observe it empirically on an accelerator chip but why - it will not behave different, it will only, ONLY, run faster. There's nothing to observe there then but speed. You can observe everything on a computer of your AI. Lastly if you have full time to read this too, as said data in from random sources, desired data collection out to attain desired data from non random sources, it can do this in brain, ex. decide AGI is similar to food goal, so now it starts thinking about AGI not food as much hence collecting data from tests in its brain. You mentioned external lab world tests to prove theories simply as reinforcement, well, this is data collection from a specific domain still, a brain can do that in its head, it does not need a lab/world/ body to be a scientist, it just updates its hobby in its brain to change where it collects data from, repeat. ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T2f2a092379e757d2-M0e3d860404a4de049c0588e5 Delivery options: https://agi.topicbox.com/groups/agi/subscription
