· ai
The Brain of the Future Agent: Why VL-JEPA Matters for Real-World AI
The “Generative” Trap If you have been following AI recently, you know the drill: Input → Generate. - You give ChatGPT, Gemini, or Claude a prompt → it generat...
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DatBench: Discriminative, faithful, and efficient VLM evaluations
Article URL: https://arxiv.org/abs/2601.02316 Comments URL: https://news.ycombinator.com/item?id=46515648 Points: 6 Comments: 0...
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Why Image Hallucination Is More Dangerous Than Text Hallucination
!Cover image for Why Image Hallucination Is More Dangerous Than Text Hallucinationhttps://media2.dev.to/dynamic/image/width=1000,height=420,fit=cover,gravity=au...
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This Week in AI: Key Insights from the Latest Podcast Conversations
This Week in AI: Key Insights from the Latest Podcast Conversations As we close out December 2025, the AI podcast landscape is buzzing with groundbreaking disc...
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[Paper] Attention-Guided Patch-Wise Sparse Adversarial Attacks on Vision-Language-Action Models
In recent years, Vision-Language-Action (VLA) models in embodied intelligence have developed rapidly. However, existing adversarial attack methods require costl...
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[Paper] Do Reasoning Vision-Language Models Inversely Scale in Test-Time Compute? A Distractor-centric Empirical Analysis
How does irrelevant information (i.e., distractors) affect test-time scaling in vision-language models (VLMs)? Prior studies on language models have reported an...