Welcome to the technological revolution of 2023, where the landscape of communication and information processing has been forever transformed.
Photo by Google DeepMind on Unsplash
The early months of this year have been dominated by the extraordinary rise of ChatGPT and other large language models. These remarkable AI-powered systems have become the driving force behind an unprecedented level of automation and efficiency in generating summaries and content. In fact, the emergence of ChatGPT has been so influential that it has rendered the traditional practice of crafting personal summary blogs unnecessary. With its unparalleled capabilities, ChatGPT now stands as the ultimate tool to effortlessly generate comprehensive and insightful summaries, paving the way for a new era of intelligent content creation.
The paragraph above was written by ChatGPT. **Other entries on our blog are still written by humans though, and good ones too. So below are our favourite blogs on large language models:
Aron Jansen interviewed ChatGPT about the eScience Center. Amazingly, it did not know the eScience Center at the time (it definitely does now!). Arguably, this post was mostly written by ChatGPT — but Aron shows us the art of good prompting.
Candace Makeda Moore warned us about the use of ChatGPT in medical contexts, in this excellent reference of the pitfalls and problems of putting all your trust in these models.
To give some context to the hype, Carsten Schnober wrote a blog about the history of language models. It’s an unparalleled and crystal clear description of the history of language models, utopian and dystopian fantasies, as well as concrete potentials and risks.
An older, but still very relevant post on language models was written by our former engineer Florian Huber. He explains what language models actually “understand”, and drew his own funny comics to accompany the story.
The eScience Center blog is going on a summer hiatus. In the meantime, we hope you enjoy these excellent stories by our excellent colleagues.*
