Vicente Ordonez
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vicenteor.bsky.social
Vicente Ordonez
@vicenteor.bsky.social
Rice University, Associate Professor of Computer Science. Computer Vision, Multimodal AI, Deep Learning. Houston, Texas. Check our work at https://vislang.ai/
Reposted by Vicente Ordonez
Adding here an example of what I was going for: entrepreneurs4nsf.formstack.com/forms/petiti...
Entrepreneurs 4 NSF - Formstack
entrepreneurs4nsf.formstack.com
March 26, 2025 at 1:44 AM
Adding here an example of what I was going for: entrepreneurs4nsf.formstack.com/forms/petiti...
Entrepreneurs 4 NSF - Formstack
entrepreneurs4nsf.formstack.com
March 26, 2025 at 1:44 AM
I wish more authors of papers I have missed citing would email me. At the same time I have only done this sparely and mostly with people I already know first hand or had some kind of interaction in the past and in no case I believe this was deliberate. It is just hard to keep up sometimes.
March 24, 2025 at 5:11 PM
Thanks CVPR for bringing the conversation here
February 28, 2025 at 3:37 AM
We just have to believe
February 28, 2025 at 3:37 AM
But if it does happen in the open, my hope is that it’s a concerted effort that includes academics as much as a larger coalition of people who agrees this issue is important.
February 14, 2025 at 9:17 AM
There should be pushback publicly but it should not be only self serving. If people only express concerns when it directly affects them that’s a sad state of things.
February 14, 2025 at 9:07 AM
Indeed I don’t feel that way. I think there should be pushback but I also think the general public should be as concerned. Complaining and pushing back will happen but maybe not in the open.
February 14, 2025 at 9:02 AM
That said there's no reason to not continue using our institutional channels to continue championing science and education.
February 14, 2025 at 4:50 AM
One thing we can do going forward is to work so that the general community gets convinced why funding science and having strong research institutions is a good thing. This time we might have to learn from our mistakes.
February 14, 2025 at 4:50 AM
Great times for innovation ahead!
January 29, 2025 at 2:13 AM
These are models that can perfectly be run on most cheap hardware unlike the full large R1. But I wouldn’t be surprised we will see R1 quality running on more accessible hardware.
January 29, 2025 at 2:13 AM
Everyone concentrates on o1 and R1 but even the base 7B or 1.5B models seem better than the very first public version of ChatGPT (3.5-turbo) that took the world by surprise.
January 29, 2025 at 2:13 AM