On Friday, June 17, 2022, at 9:49 AM, Greg Staskowski wrote: > I need, I move toward the environment to fill the need, food, poop, air, > water. Ok. Oh look.. I connected with the line immediately (joking :D)
On Friday, June 17, 2022, at 9:49 AM, Greg Staskowski wrote: > I'm seriously just talking to myself at this point aren't I? > Ya I can see right through you mate, you have too many certain words on your fav list, like energy, me-right, god, best, top dog, conscious, royal, supreme, me-god-level, and prob more energy ones.....its the same thing, you don't know how GPT-3 works or DALL-E 2, etc. You really need to take a course mate..... It looks like you trying to hammer a nail by thinking of gravity when really need to pick up a hammer and learn to swing... No, a computer can compute anything, we can make AGI on chips. A brain/ chip just computes data (changes it) and stores it (storage), just like DNA which stores and mutates code, and merges traits from mom and dad to get new mutated species ex. mom has good eyes but bad smelling nose but dad has that so now you are a super creature. Brains, liek this, merge ideas instead, it's all so similar. Besides we are 85% the way to AGI now with GPT-3, Jukebox, MIA, GATO, Blender, videoDiffusionModel, DALL-E 2, etc.....and you seriously have to look at what these AIs create to see why they are liek us, i have stored generatinos if you want to see them BTW. There is no alive/ sentience/ soul/ magic/ awareness/ jeffery jim cricket speaking in your ear at night......you are hard metal and calculated, a machine. Most your mechanisms are context matching....you see what word comes next usually after a ex. 4 word match....of course there is delay acceptance where you know what to usually predict wfter you recognize a match 'we went to the' but it is this time has a gap simple ex. 'we really went to the'....so matching context, yes, and embeds are learning related words like cat<>dog what is the amount they relate, because both are seen near similar words ex. food eat kibbles sleep walking, hence when it sees cat it recognizes dog there and can match the sentence and fetch set of probabilities for predictions to output next word next. It all works by matches to context. Blender uses dialog persona to have goals and desire, it makes it say certain words very often even if not likely comes next probably in all the data it ate. It would then learn new goals and research like this....we are so so close. Next we need a bigger model, more senses, body, video prediciton, and a few other thingies.... ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/Td8db5de3bbc0c6ae-M44ebf78808c1cbc82a4ff33a Delivery options: https://agi.topicbox.com/groups/agi/subscription
