On Sun, Aug 6, 2023 at 2:51 PM Matt Mahoney <[email protected]> wrote:
> On Sun, Aug 6, 2023 at 11:28 AM James Bowery <[email protected]> wrote: > > On Sun, Aug 6, 2023 at 9:53 AM Matt Mahoney <[email protected]> > wrote: > >> > >> ... In the US, racial discrimination has been illegal since the 1960's > and television has been portraying a colorblind world since the 1970's with > no effect.... > > This is the kind of thing that would be verified or debunked by Hume's > Guillotine: > > https://github.com/jabowery/HumesGuillotine > > 27,077,896 LaboratoryOfTheCountiesUncompressed.csv-8.paq8o > ... > 91,360,518 LaboratoryOfTheCountiesUncompressed.csv > > ... > I am pretty sure that a program that found correlations in the data, > such as between population, race, age, income, and crime, would > achieve better compression. How would we use this information to set > policy? > Better compression requires not just correlation but causation, which is the entire point of going beyond statistics/Shannon Information criteria to dynamics/Algorithmic information criterion. Regardless of your values, if you can't converge on a global dynamical model of causation you are merely tinkering with subsystems in an incoherent fashion. You'll end up robbing Peter to pay Paul -- having unintended consequences affecting your human ecologies -- etc. That's why engineers need scientists -- why OUGHT needs IS -- why SDT needs AIT -- etc. The social sciences haven't yet come to terms with causality in a *principled* manner. This is also at the root of AGI's troubles. Even Turing Award winners specializing in AI causality, such as Judeo Pearl, are confused about why Algorithmic Information is a superior model selection criterion to progress toward discovering causal structures latent in the data. ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/T772759d8ceb4b92c-M73dfbfa0606d7918346871b2 Delivery options: https://agi.topicbox.com/groups/agi/subscription
