TTT-Discover optimizes GPU kernels 2x faster than human experts — by training during inference

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...
NextBigFuture

Up to Date Technical Dive into State of AI

Hands-on learning is praised as the best way to understand AI internals. The conversation aims to be technical without ...
IEEE

Inference-Time Rule Eraser: Fair Recognition via Distilling and Removing Biased Rules

Abstract: Machine learning models often make predictions based on biased features such as gender, race, and other social attributes, posing significant fairness risks, especially in societal ...
NPR

TikTok is investigating why some users can't write 'Epstein' in messages

"We don't have rules against sharing the name 'Epstein' in direct messages and are investigating why some users are experiencing issues," a spokesman for TikTok's U.S. operation told NPR in a ...
Frontiers

Situated learning and the problem of scientific inference

Department of Educational Psychology, University of Nevada, Las Vegas, NV, United States Challenging the dominant view of learning as abstract content internalization, Situated Learning Theory (SLT) ...
IEEE

Generative Fuzzy System for Sequence-to-Sequence Learning via Rule-Based Inference

Abstract: Generative models (GMs), particularly large language models (LLMs), have garnered significant attention in machine learning and artificial intelligence for their ability to generate new data ...