Category: AI, Computation, and Technology

OK. Please help me out then.

I’m a 64 year old retired foundr and CEO of multiple software companies in the 100M range. I did early work on AI in the 80s’ and wrote one of the first AI’s for applied law before 1990.

Today I work in decidability (truth) applied to behavior, economics and law. In particular, I specialized in human antisocial behavior, especially lying. Because there is little academic work on the subject it took a great deal of effort. And I learned more about human behavior from that study than all other disciplines combined.

And as someone of my generation, the term ‘sus’ or ‘suspect’ may not carry the meaning it does with the younger generations. So, what is odd (or “sus”) about the future I imagine … from within my domain of expertise?

Because if you spend your time trying to figure out how to reform the law to limit human antisocial behavior and the cumulative consequences, that’s not very different from how anything approaching artificial general intelligence must approach the problem.

Reply addressees: @MasoudMaani @Plinz

Why on earth would that reply provoke that response? I’m an advocate for your work. I’m not a doomer. I’ve worked on these questions since the early 80s and much of my work is in ethics and decidability directed toward these ends? -hugs 😉

Greg, you are partly correct, but it’s not impossible to change the process so that it produce sa field of weighted possibilities, adversarially compete them, and recursively refine them, and finally attempt to operationalize (test) them, into a set of prioritized options.

So it’s not that AI won’t continue to improve, but that the LLM is the equivalent of the auto-association facility in the human hippocampal region working in serial instead of massive parallel.

I’ve been tangentially involved for most of my life, and LLMs are an attempt to brute force by backward propagation what the brain constructs from real world stimuli and embodiment.

So llm’s are still an interesting strategy – but like all advances in AI they are the produce of hardware innovation not solving the fundamental problem of replicating the hierarchical and recursive structure of the brain.

Reply addressees: @GregKamradt