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Meta's AI models are powering the first wave of Genesis Mission projects

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Re: Meta's AI models are powering the first wave of Genesis Mission projects

#15
As a former proposal specialist (B2B, B2G, non DoD) I looked into the Genesis Mission procurement site and process.

Unless someone can correct me, the total amount of grant monies is $280,000,000 or so.

It became obvious that it’s not worth my time to engage in the “mission” as they call it, even if I could benefit some worthwhile causes.

That’s a pittance and pretty insulting to the purported benefit of funding scientific endeavors. I’m not even attempting to be political here. $280 Million versus $XX Billion for warfighting is a seriously gross misallocation of public monies, IMHO.

Total lackluster reporting on the scale and scope of the actual numbers, but not surprising.

Re: Meta's AI models are powering the first wave of Genesis Mission projects

#16

As a former proposal specialist (B2B, B2G, non DoD) I looked into the Genesis Mission procurement site and process. Unless someone can correct me, the total amount of grant monies is $280,000,000 or so. It became obvious that it’s not worth my time to engage in the “mission” as they call it, even if I could benefit some worthwhile causes. That’s a pittance and pretty insulting to the purported benefit of funding scie…

It's a weird world where $280M is not considered a lot of money.

Re: Meta's AI models are powering the first wave of Genesis Mission projects

#19
post #3

This fits with my impression of the 'personality' of various models: Meta: Perceptive (strong vision) Gemini: Fastest Claude: Smartest OpenAI: Prettiest

Why do you think OpenAI is the prettiest?

Claude often makes better looking interfaces and designs. And I think OpenAI has solved more open math/ stats/ CS problems.

Re: Meta's AI models are powering the first wave of Genesis Mission projects

#20
I'm no fan of Facebook or its social effects but I can't deny the wonderful downstream effect of their open source.

Popular microscopy models like Cellpose[0] have leaned heavily on the cornucopia of open and SOTA power. I have no doubt thousands of biologists have benefitted from the capabilities these models bring. I think it was unthinkable just 5 years ago that a single biologist with just a laptop could do mass-segmentation at this kind of fidelity.

Then there's Napari and it's plugin ecosystem[1] that wouldn't exist without the Chan Zuckerberg Initiative. Again, I'm not trying to glaze them but as someone in the biotech/microscopy space I can't understate how often I use and benefit from their open source.

[0] https://cellpose.readthedocs.io/en/latest/models.html [1] https://chanzuckerberg.com/rfa/napari-plugin-grants/

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