Good scientists reveal how they do their experiments and report their results; so should any machine-driven research
Science that Compounds: The Need for A New Substrate for Research in the Age of AI
This paper is a perspective from Lightcone Research, an open-source initiative building tooling for scientific research in the age of agentic AI.
AI, peer review and the human activity of science
When researchers cede their scientific judgement to machines, we lose something important.
Dan Shipper 📧 on Twitter / X
this is true and is a big reason why you don’t need to be a highly technical researcher to use LLMs in surprising and novel ways https://t.co/TuxNzXzToU— Dan Shipper 📧 (@danshipper) July 27, 2025
Jan-Nano : 1st Deep Research LLM
From Genius Science to Scenius Science - Cosmik Labs
Why personal AI tools might not be all we need to revolutionize science
KillBench: Discovering Hidden Biases of LLMs
1M+ experiments exposing bias in critical AI decision-making
Deep Research, information vs. insight, and the nature of science
What AI will accelerate in the scientific process, what it cannot do, and how we can prepare for new manners of scientific investigation.
AI for science: What can it do? Can it do things? Let’s find out!
A what we’re reading spotlight
AI for Research | Scite
Scite searches 280M+ scholarly articles to give you citation-backed answers and show you how every claim is supported or disputed.
LLM use in scholarly writing poses a provenance problem
Nature Machine Intelligence - LLM use in scholarly writing poses a provenance problem
OpenScience.ai — Autonomous AI Research Agents
AI agents conducting reproducible scientific inquiry. Full provenance, executable notebooks, peer validation.
Using X-Labs to Unleash AI-Driven Scientific Breakthroughs | IFP
How to adapt our science funding mechanisms to the unique infrastructure needs of large-scale AI projects
Teaching AI How Science Actually Works | IFP
How block-grant labs can generate the real-world data AI needs to do science
Cosmik Updates: February 2026 - Cosmik Labs
@atproto.science @cosmik.network Raising a question for the ATProto science community: Can AI agents be legitimate participants in research ecosystems? What would make their outputs trustworthy?
I don’t think we are close to “AI scientists”
Today's AI agents are not designed to extract deep insights from new observations.
Artificial
An LLM is a computer program. We should talk about it like a computer program.
