Advancements in Transformers and AI Understanding of the Physical World

Google DeepMind's groundbreaking approach unleashes the potential for longer data processing in transformers. Meta AI releases V-JEPA, an AI method for teaching machines to understand and model the physical world. Plus, Google AI proposes Online AI Feedback for aligning language models with human values, and UC Berkeley explores the potential of feedback loops in language models.

Sources:
https://www.marktechpost.com/2024/02/20/transformers-reimagined-google-deepminds-approach-unleashes-potential-for-longer-data-processing/
https://www.marktechpost.com/2024/02/20/meta-ai-releases-v-jepa-an-artificial-intelligence-method-for-teaching-machines-to-understand-and-model-the-physical-world-by-watching-videos/
https://www.marktechpost.com/2024/02/20/this-ai-paper-from-google-ai-proposes-online-ai-feedback-oaif-a-simple-and-effective-way-to-make-dap-methods-online-via-ai-feedback/
https://www.marktechpost.com/2024/02/20/this-ai-paper-from-uc-berkeley-explores-the-potential-of-feedback-loops-in-language-models/

Outline:
(00:00:00) Introduction
(00:00:47) Transformers Reimagined: Google DeepMind’s Approach Unleashes Potential for Longer Data Processing
(00:04:03) Meta AI Releases V-JEPA: An Artificial Intelligence Method for Teaching Machines to Understand and Model the Physical World by Watching Videos
(00:06:46) This AI Paper from Google AI Proposes Online AI Feedback (OAIF): A Simple and Effective Way to Make DAP Methods Online via AI Feedback
(00:09:16) This AI Paper from UC Berkeley Explores the Potential of Feedback Loops in Language Models