#collectivedecisionmaking — Public Fediverse posts

I'm excited to see recent developments with LLMs may provide effective modeling of our aggregate values (multi-level, fine-grained), increasingly coherent over increasing context of meaning.

LLMs such as ChatGPT and Gemini already impress us with their ability to produce coherent (but not necessarily correct) abstractions from massive collections of data relevant to our interests.

Now, what if we run multiple instances of LLMs with diverse priors, collaboratively (at lower levels adversarial, at higher levels cooperative) selecting for increasing coherence over increasing context in the domain of present but evolving values?

Of the two orthogonal dimensions producing the expanding space of moral (right in principle) agency —our values, and our methods for their promotion — we already have much attention on our evolving methods (science, technology) and it appears we are on the cusp of rapid development of an effective model of our evolving values!

Cause for (Promethean) hope!

Research remains to be performed on theoretical and practical questions involving expected signal-to-noise improvements of "synthetic data" extracted from latent information in our datasets, regression due to synthetic data added to the data set, biases, gaming of the system, and on and on… Interesting, exciting, and dangerous.

#LLM #LargeLanguageModels #AI #GenerativeModels #SyntheticData #DecisionMaking #CollectiveDecisionMaking #Ethics #MetaEthics #Morality #ArrowOfMorality

Dusting off an old idea that may be nearing practicality with the rise of large language models:

A model of human universal values—multilevel, fine-grained, probabilistic, intertwingled, and evolving—could facilitate useful discourse and collective decision-making.

It seems to me that our worldwide, multicultural corpus of fiction must contain examples, within context, of nearly all human values and situations in which they may apply.

Such fictional examples are of course highly biased toward the dramatic and the sensational, since that's what people tend to enjoy reading, but might we now be close to having the tools to help us collect, categorize, and make sense of such a data-store and apply it to effective discussion and decision-making?

#decisionmaking #values #HumanValues #HumanUniversals #CollectiveDecisionmaking #TextProcessing #CorpusAnalytics #analytics #LLM #Cooperation #emotion

Dusting off an old idea that may be nearing practicality with the rise of large language models:

A model of human universal values—multilevel, fine-grained, probabilistic, intertwingled, and evolving—could facilitate useful discourse and collective decision-making.

It seems to me that our worldwide, multicultural corpus of fiction must contain examples, within context, of nearly all human values and situations in which they may apply.

Such fictional examples are of course highly biased toward the dramatic and the sensational, since that's what people tend to enjoy reading, but might we now be close to having the tools to help us collect, categorize, and make sense of such a data-store and apply it to effective discussion and decision-making?

#decisionmaking #values #HumanValues #HumanUniversals #CollectiveDecisionmaking #TextProcessing #CorpusAnalytics #analytics #LLM #Coopertion #emotion