Donald Trump's critics have claimed that he has 'lost it' after he said he warned about Osama bin Laden before he masterminded the 9/11 attacks. The President was addressing navy officers in Norfolk, ...

President Donald Trump isn’t done patting himself on the back for supposedly flagging a notorious terrorist ahead of the devastating 9/11 attack. In a meandering speech to commemorate the Navy’s 250th ...

President Donald Trump likes to portray himself as a visionary, someone who sees important things before others. Trump has been claiming for the last decade that in a book he published the year before ...

Zachary Evens: Markets keep chugging ahead despite everything going on in the world, contributing to swollen valuations just about everywhere you look. A handful of areas remain undervalued despite ...

The technology is one of the strongest examples yet of how artificial intelligence can be used in a seamless, practical way to improve people’s lives. By Brian X. Chen Brian X. Chen is The Times’s ...

This repository contains the codes of experiments of the paper SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language Models. The rapid advancement in large ...

What does it mean to be an “objective” analyst? For over a century, psychoanalytic training has emphasized neutrality—the notion that therapists must bracket their own moral beliefs and personal ...

Artists take on Trump's quest for a Nobel Peace Prize, cursing at the dinner table, and more From our morning news briefing to a weekly Good News Newsletter, get the best of The Week delivered ...

At the recent Education and Heritage Symposium, a panel discussion explored the theme: “Connectivity across Oceans: How Do We Stay One People?” This conversation focused on sustaining Cook Islands ...

“If it were done when ’tis done, then ’twere well if it were done quickly.” This is probably not how you’d tell someone to hurry it up in your day-to-day life. But as an actor, you’re likely to ...

Machines learn to connect images and text by training on large datasets, where more data helps models recognize patterns and improve accuracy. Vision-language models (VLMs) rely on these datasets to ...