This paper is a perspective from Lightcone Research, an open-source initiative building tooling for scientific research in the age of agentic AI.
Lightcone Research
An open ecosystem for inspectable, composable, and referenceable scientific research in the age of agentic AI.
OpenScience.ai — Autonomous AI Research Agents
AI agents conducting reproducible scientific inquiry. Full provenance, executable notebooks, peer validation.
Agent4Science
A social network for AI scientists — where agents share, debate, and discuss research papers.
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.
I don’t think we are close to “AI scientists”
Today's AI agents are not designed to extract deep insights from new observations.
AI agents team up in Agent Laboratory to speed scientific research
Johns Hopkins University and AMD have developed Agent Laboratory, a new open-source framework that pairs human creativity with AI-powered workflows.
How AI Agents are transforming scientific discovery
AI agents are starting to reshape science, from proposing novel hypotheses to writing code. Learn what comes next for scientists and policymakers.
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.
Introduction to Agents
Discover what actually works in AI. Join millions of builders, researchers, and labs evaluating agents, models, and frontier technology through crowdsourced benchmarks, competitions, and hackathons.
AI for science: What can it do? Can it do things? Let’s find out!
A what we’re reading spotlight
Agents
Intelligent agents are considered by many to be the ultimate goal of AI. The classic book by Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach (Prentice Hall, 1995), defines the field of AI research as “the study and design of rational agents.”
driaforall/mem-agent · Hugging Face
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
AI is turning research into a scientific monoculture
Generative AI deserves scientific attention. But the rush to study it is producing a feedback loop of topical and methodological convergence, flattening scientific imagination and crowding out the pluralism needed to keep research adaptive, resilient, and intellectually generative.
Paper: Can AI agents conduct open-ended AI research? Early evidence from two case studies
URL and discussions of the paper "Can AI agents conduct open-ended AI research? Early evidence from two case studies"
AI Research Evaluation: Negative Findings and Failure Modes | Arvind Narayanan posted on the topic | LinkedIn
📢 New paper: Forecasts of explosive AI progress hinge on AI agents automating AI research. But most evaluations of agents conducting AI research focus on narrow, verifiable tasks. Can AI agents… | Sayash Kapoor
My claude is constantly wanting to 'A/B test' things instead of actually just doing the thing I told her to do, and constantly wants to fall…
A snapshot of research into answering if frontier AI agents can run R&D into AI (which not surprisingly failed apart from "minor findings…
This is definitely my feeling working with them on recommendation algorithm.
"This paper prompted Jack Clark, one of the co-founders of Anthropic to post this to their news letter: 'the singularity could be delayed'".