CVPR News retweetledi
CVPR News
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CVPR News
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Computer Vision and Pattern Recognition News
Katılım Eylül 2018
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CVPR News retweetledi
@GaryMarcus @marketoonist We need to firmly separate practical engineering and deployment failures from prophecies or debates about the “moral status” of statistical software.
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CVPR News retweetledi
NeurIPS'26 (abs): 4 days + 14h.
NeurIPS'26 (paper): 6 days + 14h.
CORL'26 (abs): 25 days.
CORL'26 (paper): 28 days.
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CVPR News retweetledi
CVPR News retweetledi
NeurIPS'26 (abs): 16 days.
NeurIPS'26 (paper): 18 days.
CORL'26 (abs): 37 days.
CORL'26 (paper): 40 days.
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CVPR News retweetledi
🎉 Meet our WiCV 2026 at @CVPR speakers!
We are honoured to welcome Cordelia Schmid, Sarah Parisot, Georgia Gkioxari, Sanja Fidler, and Katie Bouman for inspiring talks and discussions on the future of computer vision.
sites.google.com/view/wicv-cvpr…
See you at CVPR!
#WiCV #CV
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CVPR News retweetledi
This 2 hour Stanford lecture will teach you more about how LLMs like ChatGPT & Claude are built than most people working at top AI companies learn in their entire careers.
Bookmark this & give 2 hours today, no matter what. It'll be the most productive thing you do this week.
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CVPR News retweetledi
⏰ Few days left!
Submission deadline for the SAUAFG @CVPR 2026 Workshop (Proceedings track) is Mar 21.
Don’t miss the chance to share your work on AI-driven skilled activity understanding, assessment, and feedback.
📝 sauafg-workshop.github.io
#CVPR2026 #ComputerVision #AI
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CVPR News retweetledi
CVPR News retweetledi
We are so excited to see everyone next week at the #ICLR2026 LXAI Social Brunch, proudly sponsored by Google! 🥐☕️
How to get in:
1️⃣ Check out the event info here: goo.gle/lxai-iclr
2️⃣ DM us right now to get the exclusive access code to register!
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CVPR News retweetledi
CVPR News retweetledi
NeurIPS'26 (abs): 18 days.
NeurIPS'26 (paper): 20 days.
CORL'26 (abs): 39 days.
CORL'26 (paper): 42 days.
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CVPR News retweetledi
Yann LeCun says today's humanoid robot demos look impressive, but the robots are very stupid in the real world
"the missing piece is not hardware; it is AI that can't reason, plan, or adapt like humans"
Robot companies are betting AI will make them smart enough to sell at scale within 3-5 years
It's a big bet
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CVPR News retweetledi
Ironically, #AI was supposed to accelerate research. Instead, it is slowing it down.
One side effect of #LLMs is synonym churn for concepts that already have well-established names. LLMs do not understand that technical disciplines rely on precise, established terminology, not endless rewording.
As a result, we are producing papers in which the only novelty is the vocabulary. There ought to be a penalty for that.
Yi Ma@YiMaTweets
In system theory, it is called "linearization"... which has been studied and used for decades. Honestly, folks, there is no need to invent or introduce any new terminology. Remember, there is rarely anything new under the sun...
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CVPR News retweetledi
Ways in which Large Language Models differ from human inteligence, by @garymarcus and collaborators.
Valerio Capraro@ValerioCapraro
Here's the longer version of our Nature piece. Our argument is simple: statistical approximation is not the same thing as intelligence. Strong benchmark scores often say very little about how LLMs behave under novelty, uncertainty, or shifting goals. Even more importantly, similar behaviors can arise from fundamentally different processes. In another paper, we identified seven epistemological fault lines between humans and LLMs. For example, LLMs have no internal representation of what is true. They often generate confident contradictions, especially in longer interactions, because they do not track what is actually true. Another example. Yes, LLMs have solved some open mathematical problems, but these cases typically involve applying known methods to well-defined problems. LLMs cannot invent anything that is truly new and true at the same time, because they lack the epistemic machinery to determine what is true. None of this means LLMs are useless. Quite the opposite: they are extraordinarily useful. But we should be careful about what they are and what they are not. Producing plausible text is not the same as understanding. Statistical prediction is not the same as intelligence. So despite the hype from the usual suspects, AGI has not been achieved. * paper in the first reply Joint with @Walter4C and @GaryMarcus
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CVPR News retweetledi
Join me in supporting this important cause at iPetitions. Restore Fully Free and Open Access to the ACM Digital L... ipt.io/GWV5J via @ipetitions
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CVPR News retweetledi
Hype vs Reality:
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Eric Schmidt: my early life was coding; now AI can do almost everything I learned. #AI is “a supercomputer and superprogrammer in your pocket.”
Andrej Karpathy: latest project was hand-written because agents were “net unhelpful.” This is a reversal from his “vibe coding” era. Vibe coding is a term he coined in Feb. 2025.
timesofindia.indiatimes.com/technology/tec…
Rohan Paul@rohanpaul_ai
Google's ex-CEO Eric Schmidt talks about how his whole early life was basically coding, and how AI just wiped it out. He says in his 20s all he wanted to do was write programs, all the way through college and grad school, and that this is what built his career. But now, every single thing he learned back then can be done by AI. "Each and every one of you has a supercomputer and superprogrammer in your pocket." --- From 'Institute of Politics Harvard Kennedy School' YT channel
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CVPR News retweetledi
Vibe coding was fun. Yet when it is time to ship something real, the agents are “net unhelpful” and the code ends up hand-written.
timesofindia.indiatimes.com/technology/tec…
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CVPR News retweetledi
I'd like to propose the following norm for peer review of papers. If a paper shows clear signs of LLM-generated errors that were not detected by the author, the paper should be immediately rejected. My reasoning: 1/
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CVPR News retweetledi
CVPR 2026 Registration is now live! Please remember if you have a paper accepted, you must register as an author. Anyone is welcome to attend CVPR as long as they are registered before arriving onsite. cvent.me/dMoWob
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