4. Language Model Teams as Distrbuted Systems (arxiv.org)

Large language models (LLMs) are growing increasingly capable, prompting recent interest in LLM teams. Yet, despite increased deployment of LLM teams at scale, we lack a principled framework for addressing key questions such as when a team is helpful, how many agents to use, how structure impacts performance -- and whether a team is better than a single agent. Rather than designing and testing these possibilities through trial-and-error, we propose using distributed systems as a principled foundation for creating and evaluating LLM teams. We find that many of the fundamental advantages and challenges studied in distributed computing also arise in LLM teams, highlighting the rich practical insights that can come from the cross-talk of these two fields of study.

7. The return-to-the-office trend backfires (thehill.com)

Many business leaders think that a stricter return-to-office policy will cause a surge in productivity. But in reality, the data tell a different story. Across practitione…

9. Scientists discover a surprising way to quiet the anxious mind (2025) (www.sciencedaily.com)

Generalized anxiety disorder affects millions, often trapping sufferers in cycles of fear and isolation that conventional medications barely relieve. At UCSF, neuroscientist Jennifer Mitchell is testing a pharmaceutical form of LSD called MM120, which has shown striking results in reducing symptoms by promoting neuroplasticity and easing rigid thought patterns. In clinical trials, a single dose significantly outperformed standard treatments, offering hope to those who have found little relief elsewhere.

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