AGI with some enhancements to its brain will be able to do anything I can do, better. But we don't want to test it on a single narrow task ex. can it build towers taller than ones humans have made? We want to test it on a very large diverse set of tasks, like running, cancer, computer speedups, GPU inventions, etc. To do this, to test it to make sure it is general purpose solver like a Man (or handy woman) that you can just throw down a vent or alley and say fix that air duct or mark on a wall and walla job done without you needing to pay attention, we use enwik8 (yes, enwik8 has a bit too much html, markup, biographies, but it's ok-ish, and is used already for years so we kinda have to stick with it now). So, ya, we use enwik8, text, to see if it can accurately predict the right solution/ procedure/ data to many diverse problems. If it can find patterns in our real world data images/ text, then it can predict likely true unseen discoveries anew and compress data.
On Saturday, April 24, 2021, at 11:52 AM, WriterOfMinds wrote: > You run your prediction algorithm on the file you wish to compress, and store > only those elements in the sequence that differ from the element your > algorithm predicted at that position. Store the errors, in other words. You > can then regenerate the original file (decompress) by running your algorithm > and substituting the stored errors into the output. > > If your algorithm requires training, then you should be able to train it on > any representative example of the kind of data you want to compress Correct, mine already does that. So do many others. Do note a brain stores memories overlayed on top other memories ex. c>a/i>t/n stores both cat and cin. A brain compresses. This allows it to combine predictions and predict things unseen, accurately. This good prediction allows compression of a File, too, by storing outside the brainCompressor a error correction on paper, a other form of compression - the one we mean when we talk about compression often, though yes a brain too compresses memories into the network to crunch it all together, this in fact is kinda part of the storage of the compression as well cuz you add up the brain size plus error correction on that 'paper' and get the total size needed to compress it.On Saturday, April 24, 2021, at 12:06 PM, WriterOfMinds wrote: > the ability to connect things in the text to my current world-model in the > way that was intended by the author. Recognition is prediction, part of how you Do prediction of the next letter. All machines can only react based on context (prediction...input>output). Do not a full AGI will have sound and vision...it Does use multi_sensory like you say you use in your own human brain. ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/Tbdfca102d702de94-M836ad3c5860fe89d517aa773 Delivery options: https://agi.topicbox.com/groups/agi/subscription
