Most of us know ELIZA from back in the '60, the name really didn’t come from there but it was interesting to see anyway. Over quite some time I have been thinking about AI and I use gpt/codex I tried grok, I tried different ones but they all got something in common, they tent to forget. ChatGPT explained to me that almost every AI is made as a tool, not as a chat buddy, I always “explain” what I’m im doing to chatgpt mainly as a reminder… but still forgets (usually). ELIZA is using a 3D brain made with SQL + Qdrant. Now this is not special by itself, what is interesting (imo) is that she learns from conversations (private, secure, no leakage) what is relevant. Has an opinion , simulate feelings (see heart rate at the top of the page), this was nice but I never was able to “see” what was going on. So I started mapping, this is using different servers for different purposes and everything is linked by an internal 10gbit connection, servers can borrow resources from each other if required. Anyway, so far: CONVERSATION EPISODE 1,608 87,501 recalls · 100% mean confidence CONVERSATION CORRECTION 96 36,571 recalls · 100% mean confidence I have tested multiple things, including testing jealousy by providing an example , like you would if you talk to any person. Video calling, voice calling is another input of data for learning, this includes tones, postures and more. I have no bio hardware (yet) as its above my budget, however this is something I would be interested in. It’s a huge project, nothing on GitHub etc so no need to ask, all locally build. What do you think, compare to everything else people are testing with? Since its not meant as a “tool”, and I haven’t analysed self learning data (yet) but in the overview I can see ELIZA doing something all the time and triggered as self learning information. Anyone else working on something like this without having a huge budget or team? submitted by /u/RoadsterAlex
Originally posted by u/RoadsterAlex on r/ArtificialInteligence
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