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

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21–30 of 98 posts

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

#21
post #10

So, not LLM models, right? Also on this: > The numbers are staggering: The DOE's light and neutron source facilities now produce tens of petabytes of data annually Come on, petabytes are not staggering for entreprise software.

I used to work with images representing scans of brain tissue - for a full brain visualization at one horizontal slice terabytes was a common measure and the resolution of those images wasn't even particularly detailed - all the full resolution stuff was taken of tiny sub-sections of interest. This was also two decades ago - so I'm sure they've upped their game.

My company does whole-brain scans of mice on a Zeiss Z.1. Lower resolutions are typically in the low hundreds of GB. Higher-resolutions and multichannel staining can get you in the TB range. When a typical client is doing 10's of brains it definitely adds up. But even for us (and I consider us a smaller operation) we aren't output PB's. So I'd consider the above claim still pretty impressive.

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

#23
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.

> Claude often makes better looking interfaces and designs

How do you even qualify this? Either by "Well, when you're not specifying anything about it in the prompt" and then it almost doesn't matter at all, or by what actually goes into the prompt, then again it doesn't matter at all what model you use, more about the person driving it.

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

#24

So, not LLM models, right? Also on this: > The numbers are staggering: The DOE's light and neutron source facilities now produce tens of petabytes of data annually Come on, petabytes are not staggering for entreprise software.

I'm not sure exactly which enterprises you have in mind, but sure: quantities which can be expressed as "a year's worth fits on my desk" should not be described as "staggering", and 10 PB of hard drives will (just about) fit on my desk.

The LHC, on the other hand, that generates a petabyte a second and has to throw most of it away for obvious reasons:

https://www.itnews.com.au/news/computing-for-the-large-hadro...

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

#27
post #3

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

I love how consistently none of us even vaguely consider Grok an actual player

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

#28
post #3

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

I love how consistently none of us even vaguely consider Grok an actual player

The models might be good but the product design, user story, and marketing is so terrible that it’s difficult to see it as more than an also-ran

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

#29
post #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-…

> but I can't deny the wonderful downstream effect of their open source.

ReactJS has been a very mixed-bag...

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

#30
post #21
post #10

Earlier quoted context omitted.

I used to work with images representing scans of brain tissue - for a full brain visualization at one horizontal slice terabytes was a common measure and the resolution of those images wasn't even particularly detailed - all the full resolution stuff was taken of tiny sub-sections of interest. This was also two decades ago - so I'm sure they've upped their game.

My company does whole-brain scans of mice on a Zeiss Z.1. Lower resolutions are typically in the low hundreds of GB. Higher-resolutions and multichannel staining can get you in the TB range. When a typical client is doing 10's of brains it definitely adds up. But even for us (and I consider us a smaller operation) we aren't output PB's. So I'd consider the above claim still pretty impressive.

Yeah - our multi TB scan from two decades ago was a dolphin brain image which is a fair bit larger than mouse - and it was a stained sample that ended up being used as our demo image frequently because the contrast dyes set well and resulted in a very pretty visual overall.

I didn't meant to say that PBs of image data is common place - we had no image that approached that size - but people outside the domain of microscope scan results might be unfamiliar with just how chonky these image files would get traditionally.

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