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by ipunchghosts 401 days ago
How can u get some of this funding to do fundamental AI research?
4 comments

Why do you think something that is getting extensive investment from private sources needs philanthropy?

Also, billg has laid out the goals of his Foundation and what they aspire to achieve. Which one of those aspirations do you think should be replaced with "fundamental AI research"?

A lot of the Foundation money goes on disease research and preventative and curative vaccine and medicine development. All of those areas are already being transformed by AI as a tool, and a lot of that development happens as a result of philanthropic, government, and private investment.

AI as defined today is brittle. I am interested in understanding the fundamentals of learning so that systems can be learn as quickly as humans and have thier same level of robustness. Such a breakthrough would have a worldwide impact.

As far as I can tell, very few places are looking into this topic area. Jeff Hawkins group is one of the few places. I would like to get involved as this area is my passion but I can't connected to funding to do so.

Sure, worthy of investment, not necessarily philanthropy.

Not part of the Gates Foundation mandate.

As for your personal interest, have you explored the availability of university research positions and/or grants?

Your lack of funding is not philanthropy's problem to solve.

AI is already heavily funded / invested in by many companies, how much more is needed?
Aren't there more important issues than tossing more money into that particular furnace? Touch some grass man.
Gates is betting very heavily on AI and thinks it will greatly improve health outcomes. Both for medical research and even primary care. You may not like it, but I'm sure he is offering grants for AI research. Not necessarily for training models, but for finding effective ways to apply models to achieve the foundation's goals. So, it's not a stupid question to ask at all.
AI as defined today is brittle. I am interested in understanding the fundamentals of learning so that systems can be learn as quickly as humans and have thier same level of robustness. Such a breakthrough would have a worldwide impact.