Improving Efficiency of Diffusion Models, Understanding Hidden Layers in Language Models, Predicting Neuronal Activity with AI, and Alok Sama on AI Illusions

This AI paper introduces a data-free knowledge distillation method for improving efficiency and scalability of diffusion models. Researchers explore the hidden layers in large language models to enhance performance and reduce computational costs. A groundbreaking study predicts neuronal activity in the living brain using AI/connectome methods. Alok Sama discusses AI illusions and navigating 'The Money Trap' in an interview on the latest episode of Equity.

Sources:
https://www.marktechpost.com/2024/09/11/this-ai-paper-introduces-data-free-knowledge-distillation-for-diffusion-models-a-method-for-improving-efficiency-and-scalability/
https://www.marktechpost.com/2024/09/11/understanding-the-hidden-layers-in-large-language-models-llms/
https://www.genengnews.com/topics/artificial-intelligence/neuronal-activity-in-living-brain-predicted-with-ai-connectome-method/
https://techcrunch.com/podcast/ai-illusions-and-navigating-the-money-trap-with-alok-sama/

Outline:
(00:00:00) Introduction
(00:00:46) Understanding the Hidden Layers in Large Language Models LLMs
(00:04:05) Neuronal Activity in Living Brain Predicted with AI/Connectome Method
(00:06:33) AI illusions and navigating ‘The Money Trap’ with Alok Sama