Image caption, Khadija Shaw is the top goalscorer in the Women's Super League this season If Khadija Shaw is on your team, you have a very good chance of winning. She's that good, her Manchester City team-mate Sam Coffey felt like she was watching a video game with Shaw the star of the show. I said earlier that I feel like I'm playing Fifa. You can score three goals like that in 20 minutes? the bewildered US international said after their emphatic 5-2 win over Spurs. It was actually three goals in 13 minutes - the fastest hat-trick in Women's Super League history - and City fans are so desperate to keep Shaw at the club that, each time she scored, they chanted sign her up on repeat.

The Amazon Prime prank series amplifies the hijinks of workplace dynamics, while showing how people find purpose--and community--in their jobs despite impossible situations. Anthony Norman is your typical Gen Z worker: 25, a little wayward, and struggling to find a full time job. Unemployment rates are high . AI is creating a crisis for young people trying to enter the workforce. And several companies--including Amazon, Block, and Meta --have embraced tech's latest era of layoffmaxxing, with some cutting their staff by 20 percent.

Advances in generative models have made it possible for AI-generated text, code, and images to mirror human-generated content in many applications. W atermark-ing, a technique that aims to embed information in the output of a model to verify its source, is useful for mitigating the misuse of such AI-generated content. However, we show that common design choices in LLM watermarking schemes make the resulting systems surprisingly susceptible to attack--leading to fundamental trade-offs in robustness, utility, and usability. To navigate these trade-offs, we rigorously study a set of simple yet effective attacks on common watermarking systems, and propose guidelines and defenses for LLM watermarking in practice.

Implicitly or explicitly, this data is composed of domains--varying distributions of language.

This intervention significantly improves the performance of LLaMA models on the TruthfulQA benchmark.