OMG science
fromNature
2 days agoDaily briefing: 14 things PhD students liked hearing from their supervisors
PhD supervisors are effectively guiding students, while anglerfish use bioluminescence for mating and chimpanzees face internal conflict.
Modern scientific societies are increasingly vulnerable due to their dependence on membership fees and journal subscriptions, which are being challenged by the rise of virtual networking and open-access publishing.
Computer programs that check mathematical arguments have existed for decades, but translating a human-written proof into the strict programming language of a computer is extremely time-consuming, often taking months or even years.
Grammarly is now offering 'expert review' of your work by living and dead academics. Without anyone's explicit permission it's creating little LLMs based on their scraped work and using their names and reputation.
Librarians have been actively collaborating and talking about it almost every day, whether it's creating tutorials and digital learning objectives or thinking about the conversations to have with instructors. It can feel like cognitive dissonance to be actively working with AI on a regular basis and also saying we're constantly thinking about the harms and the biases.
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A few years ago, I put together what I felt was a truly innovative concept, which I presented in a conference poster at an international meeting in my field. After the presentation, I spoke to another early-career scientist about my work and how it might apply to their findings. Two years later, they scooped me by publishing a preprint paper that presented my idea, with many of the same verbal formulations and an identical flow of ideas, without any acknowledgement or attribution to my work.
Within a couple of years of ChatGPT coming out, I had come to rely on the artificial-intelligence tool, for my work as a professor of plant sciences at the University of Cologne in Germany. Having signed up for OpenAI's subscription plan, ChatGPT Plus, I used it as an assistant every day - to write e-mails, draft course descriptions, structure grant applications, revise publications, prepare lectures, create exams and analyse student responses, and even as an interactive tool as part of my teaching.
I'm less interested in topics than in questions, and I'm less interested in publishing than I am in curation. When I've testified before Congress or dealt with an appropriations bill or a budget negotiation, this question, of what is the return on investments when you're doing R&D, comes up quite often. It's been asked by economists in very formal ways since at least the 1950s, but the data and the methods that were available were really not very strong.
That was a year or so ago, and my first brush with what generative AI could do. Like many, I started using it for fun: planning trips, finding nineteenth century authors I could recommend to fantasy-loving students (a genre I don't read), and making a holiday card starring my dog, Harry. But as work piled up, I didn't have time for new toys, so now I use AI for work.
In 2023, Australia abandoned its expensive and bureaucratic scholar-led research-assessment programme. New Zealand followed suit soon after. The hope, according to a transition plan unveiled by the Australian federal government's Department of Education and the research sector, was to find a "more modern, data-driven approach". In the United Kingdom, where financial pressures on universities are especially acute, there are similar calls to reform the Research Excellence Framework (REF), the country's performance-based research-funding system.