Time

The Problem With AI Flattering Us

The most dangerous part of AI might not be the fact that it hallucinates—making up its own version of the truth—but that it ceaselessly agrees with users’ version of the truth. This danger is creating ...
IEEE

Deteriorated Non-Linear Interference in 3D NAND Cell With Word-Line Pitch Scaling Due to the Incapability to Turn on Non-Gate-Controlled Region

Abstract: For 3D NAND memory, with continuous word line (WL) pitch scaling, deteriorated WL interference and the impact on triple-level cell (TLC) operation window are anticipated. However, as the WL ...
the-decoder

Researchers extract up to 96% of Harry Potter word-for-word from leading AI models

A Stanford and Yale research team has shown that entire books can be pulled almost word-for-word from commercial language models. Two of the four models tested complied without any jailbreak. The ...
IEEE

Federated Learning of Tensor Generalized Linear Models with low Separation Rank

Abstract: Biomedical imaging systems often produce multidimensional signals (tensors). The high expense of image acquisition limits sample sizes and privacy regulations can prevent centralizing data ...
GitHub

LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?

This repository contains the code implementation of LLM4DyG as described in the paper: LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs? (KDD 2024). In an era ...