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Many researchers argue over nuances about symbolic AI vs connectionism, and only talk about how things should be done. Why not just do it? Code up your algorithm to show what your approach can do, also outline what it can't do yet, and write a paper. Isn't that more constructive?
critical next step isn’t an algorithm per se, but a vast array of prior, abstract knowledge, some easier to evolve than to induce, AND a set of algorithms that can leverage that. Those need to evolve together, and requires a field, and not just an individual.
Thanks for reply! All I’m asking is for more scientific experiments to be conducted, not AGI-in-a-day. I believe that well-conducted research attracts more people to explore an area & also facilitates collaboration, which is inline with what you want, no?https://twitter.com/garymarcus/status/1066021994431270912?s=21 …
Absolutely, though one has to be thoughtful about the perils of incrementalism and local minima, and recognize the role that rich human knowledge (much of which is not yet available in machine-interpretable form) plays in cognition.
There are ~3-4 implicit hypotheses in this response that should be supported by empirical data. Is it actually better to evolve, learn, or hard code this abstract knowledge? What should usefully comprise its content? How should it be incorporated into our algorithms?
Agreed. This is the kind of work we should be doing, and that @ylecun once did, when he effectively argued for the innateness of convolution, in the working paper that introduced the idea.
To reflect, a repeated issue I've seen is that your local replies can be reasonable but your global replies a wildly different narrative. Reductio ad AGI absurdum. You ask we evolve together as a field but your actions seem disingenuous to that goal.https://twitter.com/GaryMarcus/status/1066021994431270912 …
None of the discussion in this thread proposes impossible feats as necessary for constructive conversation. We are for the most part discussing what the optimal balance is for proof of concept tasks to accompany and justify multi-year research roadmaps / fields of enquiry.
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