[vvrm]

I have been training a natural intelligence model for 3 years now and she still doesn’t get nuance. Things are either good or bad in her book: nothing in between. My plan is to let her train with binary good/bad labels till the age of 5 and then start smoothing the labels after that. Wonder if that works for your AI.

[TeMPOraL]

Related trick: I found that training two Natural Intelligence (NI) models in parallel, and having them train each other for most of the time, leads to significant leaps in capabilities. Notably, when one NI picks up a skill, it often results in spontaneous transfer learning - the other NI picks that skill up very quickly, much faster than it would through direct training.

This scales well, too. There are facilities that provide services of co-hosting and cross-training up to ~two dozen NI models in a shared environment - in my experience, this provides similar training benefits to running multiple NIs on your own, at fraction of the cost.

(The facilities are exploiting some neat economies of scale. Talking to some employees, I learned that the transfer learning and co-activation are embarrassingly scalable: if you get two-three NIs to pick up a thing, all the rest immediately follow.)

[vineyardmike]

This took a couple reads, but it’s funny. The bad news is that I’ve been training mine for 17 years and nuance is still something that needs more training.

[tudorw]

in my mind I've built an 'emotional engine' to add nuance to models understanding, take something like Plutchik's wheel of emotions and create a high quality multi-modal dataset based on that structure, given our current technology takes inspiration from the brain, it would seem like having discrete models specialising in particular aspects of 'intelligence' that are then organised into a mixture of experts is an interesting area to explore, and perhaps more accessible as smaller models require less resources.

[joquarky]

That seems similar to https://en.m.wikipedia.org/wiki/Internal_Family_Systems_Mode...

[kordlessagain]

I have code stubbed out for this in mitta.us. It has 9 states, based on the Plutchik wheel, with emojis for the states. States drive temp and a few other things and drop the state into prompts.