X：Rohan Paul

For the first time, a majority of Americans under 30 are more concerned than excited about AI, reaching 55%. Fresh Pew Research data. - The employment fear is even broader, with 73% of under-30s expecting AI to reduce U.S. jobs over 20 years, up from 61% in 2024. - Only 5% of U.S. adults now think AI will create more jobs. - Most under-30s still use chatbots, so widespread use is coexisting with rising concern and mixed views about AI's effect on creativity. - Most under-30s also use chatbots, yet Pew's earlier work finds they are equally likely to say those tools hurt or help their creativity.

Many drugs work by binding to a specific target in the body and blocking or changing what it does. An important first step in the drug development process is designing a molecule that can bind tightly to its target. Traditionally, that's meant weeks or months of expert work per target, sifting through a large number of candidates to identify the few that work. We wanted to test if Claude could successfully design novel protein binders from scratch (also called de novo design). With a protein design prompt written by a human expert, Claude autonomously designed protein binders against 14 out of 15 targets. We then worked with Adaptyv Bio and Twist Bioscience, who independently built and tested the proteins Claude designed.

As models become more capable, the risks associated with developing and testing them internally also grow. We temporarily paused reinforcement learning (RL) training on our latest models intended for deployment for two weeks while we hardened and red-teamed our research environments and expanded monitoring coverage. Our largest planned frontier RL run remains on hold while smaller-scale training and evaluations validate these safeguards and establish more evidence of alignment. https://t.co/ecbMMmVoox