The Ledger

Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.

clear all ✕

why aren't all 5 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable

Opinion
Korupati: Vision-Language Models Are Lagging Behind LLMs in Reasoning
“LLMs are showing enormous progress in reasoning, especially with the latest set of models that we've seen, but we're not really seeing, I have a feeling that VLMs are lagging behind, as we can see with these tasks that should be very simple for a human to do t…”
Vik Korupati Dec 22, 2024 ▶ 53:01 Best of 2024 in Vision [LS Live @ NeurIPS]
Insight
Korupati: Developers Can Prototype on 2B Models and Prune for Deployment
“I think the thing that's really exciting about this is it makes it possible for developers to build using the two B per model and Just explore, build their application, and then once they're ready to deploy, figure out what exactly they need out of the model a…”
Vik Korupati Dec 22, 2024 ▶ 46:36 Best of 2024 in Vision [LS Live @ NeurIPS]
Insight
Korupati: VLMs Fail at Gauges Due to E-Commerce Training Biases
“In the case of gauges, most gauges images aren't gauges in the wild. They're product Detail images like these where it's always set to zero. It's paired with an alt text that says something like GIVTO pressure sensor PSI zero to 30 or something. And so, the mo…”
Vik Korupati Dec 22, 2024 ▶ 48:05 Best of 2024 in Vision [LS Live @ NeurIPS]
Prediction Not checkable as stated
Korupati: Visual Chain-of-Thought Will Probably Generalize Across Tasks
“The real question is, is it going to generalize? Probably, like, there's some signs from text models that when you train on a broad number of tasks, it does generalize, and I'm seeing some signs with our model as well.”
Vik Korupati Dec 22, 2024 ▶ 52:10 Best of 2024 in Vision [LS Live @ NeurIPS]
Disclosure
Korupati: Moondream built a 0.5B model by pruning its 2B model
“The way we built our model was to start with the two billion parameter model and Prune it while doing continual training to retain performance.”
Vik Korupati Dec 22, 2024 ▶ 45:46 Best of 2024 in Vision [LS Live @ NeurIPS]
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