With the seemingly human responses of #AI chatbots, many of us cannot help but think that someone is truly there, thinking about our questions and quandaries. But AI has no body, no lived experiences, and doesn't lose any sleep over difficult decisions.
In our new blog post, consultant Marc Spranger elaborates on why this lack of emotion isn't always an advantage and why human creativity and agency need to be cultivated even more in our age of digital offloading.
https://blog.degruyter.com/uncopyable-creativity-and-judgment-in-the-age-of-ai/
I’m thrilled to share the news that ELEMENTAL WORLD CINEMA edited by Tiago de Luca and Matilda Mroz has been shortlisted for the Best Edited Collection category at the BAFTSS 2026: www.baftss.org/contenders-p...
Get your copy at brill.com/display/titl...
Series webpage: Brill.com/COCI
My family are useful canaries of what news the public actually sees from astro, and only yesterday did my mum ask me about a study (one article of many linked below) who said they "trained an AI" to simulate the Milky Way.
This was NOT AI as how the public sees "AI", and this is disingenuous.
Simulating a billion years using previous best-resolution simulations would take almost 36 years of real computing time.
PLEASE this.
And also to scientists writing press releases, too - calling something "AI" when it was actually your student spending 12 months fitting and validating a model is disingenuous
Emily Hunt
Journalist challenge: Use “Machine Learning” when you mean machine learning and “LLM” when you mean LLM. Ditch “AI” as a catch-all term, it’s not useful for readers and it helps companies trying to confuse the public by obscuring the roles played by different technologies. 🧪
