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  • Financial incentives may be offered for risky but potentially life-saving actions, such as donating organs and participation in medical trials. It has been argued that such incentives could distort decision making and lead people to act against their own best interest. However, experimental evidence now suggests that higher financial incentives do not cause harm.

    • Linda Thunström
    News & Views
  • Van Leeuwen and colleagues demonstrate that chimpanzees use social learning to acquire a skill they failed to innovate, supporting the hypothesis that social learning is necessary for acquiring complex skills after initial innovation.

    • Edwin J. C. van Leeuwen
    • Sarah E. DeTroy
    • Josep Call
    ArticleOpen Access
  • Generative AI tools can quickly translate or summarize large volumes of complex information. This technology could revolutionize the way that we communicate science, but there are many reasons for caution. We asked six experts about the potential and pitfalls of generative AI for science communication.

    • Amanda Alvarez
    • Aylin Caliskan
    • Jevin West
    Feature
  • Effectively engaging with large language models is becoming increasingly vital as they proliferate across research landscapes. This Comment presents a practical guide for understanding their capabilities and limitations, along with strategies for crafting well-structured queries, to extract maximum utility from these artificial intelligence tools.

    • Zhicheng Lin
    Comment
  • Being able to deliver a persuasive and informative talk is an essential skill for academics, whether speaking to students, experts, grant funders or the public. Yet formal training on how to structure and deliver an effective talk is rare. In this Comment, we give practical tips to help academics to give great talks to a range of different audiences.

    • Veronica M. Lamarche
    • Franki Y. H. Kung
    • Thalia Wheatley
    Comment
  • In this Stage 2 Registered Report, Lin et al. report that people can learn to value effort and that this valuation can generalize to unfamiliar and unrewarded tasks.

    • Hause Lin
    • Andrew Westbrook
    • Michael Inzlicht
    Registered Report
  • The past 35 years have seen Bayesian models applied to many areas of the cognitive and brain sciences, which suggests that reasoning and decision-making may be rational. Wishful thinking provides a serious challenge, as it questions a core assumption of Bayesian belief updating. Melnikoff and Strohminger develop a Bayesian model that uses affective prediction errors and meets this challenge.

    • Mike Oaksford
    News & Views
  • Our understanding of the human past is changing rapidly, and this does not come from new evidence alone. We are seeing an increasing diversity of perspectives among archaeologists, and they are asking new and important questions. But the field still has a long way to go.

    Editorial
  • Whether conservatives or liberals have higher sensitivity towards underrepresentation depends on the target of the judgement: conservatives are shown to have higher thresholds than liberals for indicating bias against traditionally nondominant groups, whereas liberals have higher bias thresholds regarding dominant groups. However, such relationships weaken when the targets of bias are unknown or ideologically irrelevant to the observer, which emphasizes the context-dependency of such bias judgements.

    Research Briefing
  • People often believe what they want to believe rather than what the evidence implies. Here Melnikoff and Strohminger find that this seemingly irrational tendency may emerge from fully rational Bayesian calculations.

    • David E. Melnikoff
    • Nina Strohminger
    Article