Back to News
Models
What will you achieve in the next three years?
Proofsandprompts.com·October 10, 2026·1 min read

AI Summary
A postdoctoral researcher at EPFL reflects on working on a multi-year paper in an unfashionable research area, reducing concerns about being preempted by large language models. The complexity of the work highlights ongoing challenges in academic research that remain resistant to AI automation.
From the source
Lawrence Hollom, Postdoc at EPFL It is the morning, and I’m working on a paper; it’s one I’ve had going for a few years, and suitably unfashionable that I’m not too worried about getting auto-scooped by a large-language model. But the work is complicated, it’…
The full text couldn't be loaded here (the source may require a subscription).
View original at Proofsandprompts.comKeep reading
A schema-enforced large language model framework produces largely reproducible decision codes in simulated sarcoma tumor boardsNature.com · 1d agoliteasr added to PyPIPypi.org · 1d agoShow HN: Tutor, a self-hosted LLM tutor that teaches you your books or docsGithub.com · 1d agoLinkedIn's marketing VP says AI cites point of view, not formattingPpc.land · 1d ago
Was this useful?