When people feel physically closer to someone who could be harmed, they are less willing to sacrifice that person for the greater good, according to a new finding reported in Cognition & Emotion.
Salesforce, the US cloud software giant, has reportedly cut jobs, although the company has not made a public announcement. Media reports suggest fewer than 1,000 roles were affected, with departments such as marketing, product management, data analytics, and its Agentforce AI product hit the hardest
Reader insights offer a valuable contribution to understanding life abroad. The Local Spain’s community of international residents often find themselves at the heart of the country’s most heated debates, from digital privacy to the ethics of immigration.
Boeing is planning to lay off about 300 employees from its defense division’s supply-chain group, part of a larger workforce reshuffle. The cuts will affect several sites across the United States. While some of those losing jobs may be able to move into other open positions within the company, the m
A study in European Neuropsychopharmacology finds that ayahuasca helps rats learn that a previously dangerous environment is safe. This effect appears to rely on BDNF signaling within the infralimbic cortex, suggesting a potential biological pathway for treating trauma.
More than 1,000 Google employees have signed a petition asking the company to stop working with US immigration enforcement agencies, including Immigration and Customs Enforcement (ICE) and Customs and Border Protection (CBP). The petition says Google’s technology is being used in harmful ways, such
A new study finds that a pilot’s natural tendency toward anxiety predicts their stress levels during emergencies. Surprisingly, the number of flight hours logged offers little protection against the shock of unexpected hazards.
These qualities are not usually associated with intelligence.
The environment we grow up in can shape some aspects of our personality more than others.
EnCompass executes AI agent programs by backtracking and making multiple attempts, finding the best set of outputs generated by an LLM. It could help coders work with AI agents more efficiently.
