Hi Craig, (and Ivan) Replying publicly to a private email:
On Mon, Apr 4, 2022 at 4:00 PM Craig Bosco <[email protected]> wrote: > the only way forward is to crowdsource work and ideas. > ... > everyone will ultimately benefit from the OpenCog platform as it gains > ease-of-use and sophistication. > The OpenCog "platform" is both broad and deep; to discuss all aspects of it would be boiling the ocean. Unless, that is, you want to work on deep and basic infrastructure. One such would be converting the AtomSpace into a commercially viable platform that ordinary developers would want to use on a day-by-day basis. Having this would attract public attention, although it would not much advance the overall AGI research goals. One way to convert the AtomSpace into a commercially viable product would be to allow it to store generic JSON or similar (generic s-expressions, generic YAML, or even generic python or a json-like subset of python. Or all of the above.) This is "commercially appealing" because there already is a company that does this (grakn.ai, but since renamed to some other name I can't recall) and there are several other graph-database companies that offer something similar. I've taken some small steps in this direction, but abandoned them as they seemed like a distraction from the main topic of AGI research. The above might be appealing because it is a fairly well-defined, clear-cut project. It does not require arcane theory, or deep experimentation. It's mostly a matter of roll-up-your-sleeves and write code, which is exactly the kind of thing most programmers enjoy. Take a sketch, and turn it into a polished product. As to AGI research: the stuff I'm working on now is very theory-laden and complex; I now realize that I should not much expect anyone to follow, although a shout out to Amir who continues to surprise me regularly. He's on the right track. As to AGI research that you or Ivan could work on (... if only Ivan stopped skimming emails, and actually paid attention to what was written in them...) there is brand-new green-field development on audio and video processing. Green-field, in that not much code has been written, and so you don't have to modify a large complex existing code-base. It does, however, require interfacing into large and complex existing systems. The path is fairly straight-forward; see attached PDF. The work, however, is definitely challenging: it will require some hard thinking and lots of work. It's not "just programming", it's architecture and exploration. Some of that work is grunt-work, e.g. collecting a suitable corpus of images. Some is just painful: running CPU-intensive jobs for days on end. PDF: https://github.com/opencog/learn/blob/master/learn-lang-diary/agi-2022/grammar-induction.pdf -- Linas -- You received this message because you are subscribed to the Google Groups "opencog" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/opencog/CAHrUA37aWVAPcguURrd7xZZmJUuP7Czb%2Bu4NsbhU1dF6D1y4_Q%40mail.gmail.com.
