every chart in AI is looking like this wtf
RESEARCH
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UniVideo: Unified AI Framework for Dynamic Video Understanding
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Is unified AI finally ready for the dynamic world of video?
— 机器之心 JIQIZHIXIN (@jiqizhixin) 16 mars 2026
University of Waterloo and Kling Team unveil UniVideo!
This groundbreaking framework uses a dual-stream design, combining a Multimodal Large Language Model (MLLM) for complex instruction understanding with a… pic.twitter.com/Eun1gtPaN8Is unified AI finally ready for the dynamic world of video? University of Waterloo and Kling Team unveil UniVideo! This groundbreaking framework uses a dual-stream design, combining a Multimodal Large Language Model (MLLM) for complex instruction understanding with a
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Audio Overview of Research Paper Using NotebookLM
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Here is an audio overview (NotebookLM version) of the paper. https://t.co/jHug5PmzNB
— Satya Mallick (@LearnOpenCV) 16 mars 2026Here is an audio overview (NotebookLM version) of the paper.
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Critique of reward model limitations in AI research
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When you tell most scientists that their reward model is broken, they agree and quickly change the subject. They just want to keep doing their research. Pure myopia.
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Anima Anandkumar Appointed to UN Scientific Advisory Board
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My interview with @Caltech news after being selected for UN scientific advisory board caltech.edu/about/news/anima…
→ View original post on X — @animaanandkumar, 2026-03-16 18:36 UTC
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Attention Residuals: Understanding Hidden Signals in Transformers
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Attention Residuals: Understanding the Hidden Signals Inside Transformer Models
— Satya Mallick (@LearnOpenCV) 16 mars 2026
In this episode of Artificial Intelligence: Papers and Concepts, we explore Attention Residuals, a concept that reveals how transformer models preserve and refine information as it flows through… pic.twitter.com/DmmAtU8pzAAttention Residuals: Understanding the Hidden Signals Inside Transformer Models In this episode of Artificial Intelligence: Papers and Concepts, we explore Attention Residuals, a concept that reveals how transformer models preserve and refine information as it flows through
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Anthropic Enhanced with Adaptive Thinking and Million Token Context
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Not at all, we added adaptive thinking and 1Mio context support to support Anthropic even better!
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Eight Specialized AI Model Types Replace Monolithic Approaches
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8 specialized AI model types LLM → text generation
LCM → semantic reasoning
LAM → action-oriented agents
MoE → expert routing
VLM → vision + language
SLM → lightweight edge models
MLM → masked token learning
SAM → image segmentation AI is moving from “one big model” -
Signing on to a Paper on AGI Definition
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that’s why i signed on to this paper https://
agidefinition.ai. it’s not perfect but it’s a start. -
Jensen Huang Unveils Latest AI and Computing Breakthroughs at GTC 2026
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Watch Jensen Huang unveil the latest breakthroughs in AI and accelerated computing, and more in the #NVIDIAGTC 2026 keynote. Now live