every chart in AI is looking like this wtf
AI
-
UniVideo: Unified AI Framework for Dynamic Video Understanding
By
–
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
-
Cognition’s Growth Formula: Cloud Computing Multiplied by Coding Agents
By
–
btw the @cognition growth formula is very simple: Devin growth = cloud komputer * koding agents growth math it out. working on releasing some numbers soon
-
Grok’s Text to Speech API Now Available for Developers
By
–
Grok's Text to Speech API is now available.
— xAI (@xai) 16 mars 2026
Start building with natural voices and expressive controls to bring your apps to life.https://t.co/SMxWTB9m6N pic.twitter.com/UtHT0uN148Grok's Text to Speech API is now available. Start building with natural voices and expressive controls to bring your apps to life. x.ai/api/voice#text-to-speec…
-
Audio Overview of Research Paper Using NotebookLM
By
–
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.
-
Critique of reward model limitations in AI research
By
–
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.
-
Anima Anandkumar Appointed to UN Scientific Advisory Board
By
–
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
-
Attention Residuals: Understanding Hidden Signals in Transformers
By
–
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
-
Anthropic Enhanced with Adaptive Thinking and Million Token Context
By
–
Not at all, we added adaptive thinking and 1Mio context support to support Anthropic even better!
-
Plugin-Based Architecture Encourages Community Contributions
By
–
We worked very hard to make everything plugin-based so absolutely, send a PR!