SAM License (https://github.com/facebookresearch/sam3/blob/main/LICENSE):
> iv. Your use of the SAM Materials will not involve or encourage others to reverse engineer, decompile or discover the underlying components of the SAM Materials.
> v. You are not the target of Trade Controls and your use of SAM Materials must comply with Trade Controls. You agree not to use, or permit others to use, SAM Materials for any activities subject to the International Traffic in Arms Regulations (ITAR) or end uses prohibited by Trade Controls, including those related to military or warfare purposes, nuclear industries or applications, espionage, or the development or use of guns or illegal weapons.
> b. If you institute litigation or other proceedings against Meta or any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the SAM Materials, outputs or results, or any portion of any of the foregoing, constitutes infringement of intellectual property or other rights owned or licensable by you, then any licenses granted to you under this Agreement shall terminate as of the date such litigation or claim is filed or instituted. You will indemnify and hold harmless Meta from and against any claim by any third party arising out of or related to your use or distribution of the SAM Materials.
The DINOv3 License (https://github.com/facebookresearch/dinov3/blob/main/LICENSE...) is similar but with the model names swapped.
It's always nice when a model's weights are released, but Meta's models are not open source because their weights always come with weird restrictions.
It's almost as if having a CEO of a company placed beyond the control of the corporate board is a bad thing.
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/
More recently though they’ve spent their time corrupting the meaning of open source, using that term for their various restricted model releases, which shouldn’t be forgotten either. Especially people like Yan LeCunn who know better.
You either die a hero or live long enough to become a villain.
ReactJS has been a very mixed-bag...
> a fully reconstructed, semantically labeled 3D volume delivered back to the scientist physically standing at the beamline [x-ray] instrument, ready for interpretation while the experiment is still running. Total turnaround: approximately 15 minutes.
Meta: Perceptive (strong vision)
Gemini: Fastest
Claude: Smartest
OpenAI: Prettiest
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.
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...
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.
I'm sorry, was this article drafted in 2024 and never updated?
https://github.com/facebookresearch/sam3
They have another with calling A100s modern.
> A100 GPUs — the high-performance computing chips that power today's most advanced AI systems.
They might not have written it with AI, but the article has a lot of em dashs and colons and not this but that statements.
But what's the point of correcting you? People will continue to propagate their own lies.
Meta: awkward alien trying to be human (see llama cracking lame jokes before replying to feel more warm)
Anthropic: condescending, that McKinsey style voice that talks to you like they know they’re better than you, plus acting like they’re somehow “humane”
OpenAI: precocious eighth grader / nouveau riche, uses lots of big words they don’t fully understand, tries to hard
Microsoft (phi, see my date reference): games all the benchmarks, not great in practice
IDK if this is emergent from being trained on an endless trough of Twitter shitposts but compared to how stiff the rest are, I consider it a feature. I wouldn't use it for anything important though, heh.
Claude often makes better looking interfaces and designs. And I think OpenAI has solved more open math/ stats/ CS problems.
Still surprises me that OpenAI seems to lead in this one weird niche, I wonder what causes GPT to be able to routinely pull this off, there was one instance where some random 18 year old broke some mathematical question without knowing more than high school math if I remember correctly, all because of GPT.
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.
Nemo: Straightest
DeepSeek: Craftiest
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.
It isn't just a giant database of small files and metadata blindly feeding a recommender system.
Several petabytes is definitely a staggering amount of data in that context of being analyzed by human eyes to extract some scientific value.
...yes, Redux (not React) deserves to be #1, but Redux isn't a complete, all-under-one-roof framework the way React is; but regardless of that: The Redux/React approach is just fundamentally a better design than what we had before: stateful-controls/widgets and two-way data-binding.
If you'd like to relive how UI devs suffered throughout the 1990s, 2000s, and most of the 2010s I invite you to try making a native Windows 11 desktop UI using WinUI3 using the MVVM (anti-) pattern: nothing but mutable objects of indeterminable state getting caught in infinite-loops or unbound recursion due to INotifyPropertyChanged - and Microsoft is still pretending that's the "right" way to build a UI.
Sorry am ranting on about something I have very little control over; it's just frustating.
Rant on brother/sister. I'm a year into building a large WPF (because reasons) app for my employer and some days its very difficult.