I am an amateur and generalist , but this is fascinating—especially the GP-2 system. (I skimmed some of the links in the original post.) My limited background is in theoretical biology, including ‘natural intelligence and language learning’ so I am more familiar with issues in animal behavior and linguistics (eg debates between Chomskyian linguists and connectionists—eg https://arxiv.org/abs/cs/0212024 ).
I have actually been working on trying to formulate an analog of what the GP-2 system does but as a ‘fermi problem’ or ‘estimate’—something you can do by hand with a piece of paper, and maybe a calculator. This was partly inspired by some questions raised in an EA affiliated group—EE—effective environmentalism, but these questions occur throughout the sciences—multiobjective optimization, pattern recognition. (My approach could be called ‘deep learning for dummies’).
I don’t really know what ‘factored generation’ and ‘evaluation’ are, but these sound like ‘inverse problems’ (e.g. integer factorization, versus generating an integer from factors like prime numbers). I view these also as ‘matching’ or ‘search’ problems.
I was vaguely aware of how far AI had evolved , but the gp-2 system makes me wonder whether some online discussions i have (mostly on science lists about things like climate change) are actually with ‘bots’ rather than scientists. The OpenAI ethics statement i agree with, but these are not enforcable at present. I sort of wonder what this project is geared towards , and also what this implies for people like me who have few of the skills required to do this kind of research. I’ll just keep trying to do my ‘fermi problem’ approach—until everything is automated there may still be a few places on earth for simple minds.
I am an amateur and generalist , but this is fascinating—especially the GP-2 system. (I skimmed some of the links in the original post.) My limited background is in theoretical biology, including ‘natural intelligence and language learning’ so I am more familiar with issues in animal behavior and linguistics (eg debates between Chomskyian linguists and connectionists—eg https://arxiv.org/abs/cs/0212024 ).
I have actually been working on trying to formulate an analog of what the GP-2 system does but as a ‘fermi problem’ or ‘estimate’—something you can do by hand with a piece of paper, and maybe a calculator. This was partly inspired by some questions raised in an EA affiliated group—EE—effective environmentalism, but these questions occur throughout the sciences—multiobjective optimization, pattern recognition. (My approach could be called ‘deep learning for dummies’).
I don’t really know what ‘factored generation’ and ‘evaluation’ are, but these sound like ‘inverse problems’ (e.g. integer factorization, versus generating an integer from factors like prime numbers). I view these also as ‘matching’ or ‘search’ problems.
I was vaguely aware of how far AI had evolved , but the gp-2 system makes me wonder whether some online discussions i have (mostly on science lists about things like climate change) are actually with ‘bots’ rather than scientists. The OpenAI ethics statement i agree with, but these are not enforcable at present. I sort of wonder what this project is geared towards , and also what this implies for people like me who have few of the skills required to do this kind of research. I’ll just keep trying to do my ‘fermi problem’ approach—until everything is automated there may still be a few places on earth for simple minds.