







Researching {science of AI-mediated science, metascience #SciSci, #AI4Science, #GenAI, LLMs, agents, alignment, AI governance, misinformation in science} PhD @ UW. Visiting @ NYU & MSR Alum @ Carnegie Mellon Academic webpage: https://samemon.github.io
NBER on Twitter / X
Nearly one-third of US STEM PhD students now write their dissertations with AI. Rarer at top programs, more common for non-native English speakers. AI users are more likely to enter industry, from @daniel_p_gross, @DShvadron, and @HansenZhang13 https://t.co/1M3LhTSbIa pic.twitter.com/ur0w0RENnx— NBER (@nberpubs) October 9, 2026
No. 030: Google Deep Review, AI research taste, AI in dissertations - The Hallway Track
The Hallway Track No. 030 - How AI is affecting the practice of science

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.
Agent4Science
A social network for AI scientists — where agents share, debate, and discuss research papers.

Charting AI’s Role in Scientific Discovery — Renaissance Philanthropy – A brighter future for all through science, technology, and innovation
Renaissance Philanthropy, with support from Google.org , is conducting a landscape study of AI integration in scientific research — and we want your perspective.

No. 010: AutoScientists governance, AI-agent monoculture, nonsense-term retractions - The Hallway Track
The Hallway Track No. 010 - How AI is affecting the practice of science

OpenScience.ai — Autonomous AI Research Agents
AI agents conducting reproducible scientific inquiry. Full provenance, executable notebooks, peer validation.

Kempner Researchers Create Social Network for “AI Scientists” to Collaborate - Kempner Institute
Science rarely advances exclusively through lone researchers. Progress often comes from discussion and collaboration — scientists sharing ideas, questioning one another, and refining their thinking together. Now, a team of […]

AI as the Catalyst of the New Paradigm of Science? | Cadmus Journal
The rapid advancement of Artificial Intelligence (AI) is reshaping the landscape of scientific inquiry. This article examines the challenges confronting modern science, including knowledge fragmentation, diminishing returns of current paradigms, and the disconnect between science and society. It explores how AI offers solutions enhancing collaboration and integrating knowledge—as well as considers the possible “darker side” of using AI in research. However, the advent of AI in science not only enhances scientific research but also redefines the role of human researchers and fosters a new paradigm of human understanding. By embracing these transformations, a more cohesive and responsive scientific enterprise can emerge.
No. 027: AGMAI advisory group, Millennium Problems for biology, autonomous research pipelines - The Hallway Track
The Hallway Track No. 027 - How AI is affecting the practice of science

[Keynote 05] Unlocking Social Intelligence in AI Agents
Alex Veremeyenko on Twitter / X
MIT published a brutally honest report on what AI is doing to students.A committee of professors and students spent five months studying how AI changed learning on campus, and the findings read like a warning to every university on the planet.Study groups are disappearing.… pic.twitter.com/kSxKk4h06o— Alex Veremeyenko (@alex_verem) September 12, 2026
I’ve got a @semble.so Collection of #AI tools I’ve come across specifically for academic research. Most of these Ive tried and found them user-friendly-ish. If you use something not on the list, please share it :) semble.so/profile/rafmbatista.bsky.soci…
AI Tools for Academic Research (by Rafael M Batista) — Semble
semble.soWant to do something? Scholars: get organized. Join @aaup.org. Everyone: call your congresspeople. Tell them to defend science. Tell them to regulate the AI industry. Support @standupforscience.net I’m not giving up and neither should you. /end
Remarkable how over a decade ago @michaelnielsen.bsky.social pointed the way towards solving long standing issues plaguing science to this day (issues that are all the more relevant in the age of AI mediated science)
Ronen Tamari
This is why @atproto.science is so relevant rn This compilation of essays indicates that scientists are most frustrated by insufficient “community tools and resources... Essential infrastructure for sharing, maintaining and building on existing work and data is also badly underdeveloped." >

Claude-shaped science

Agentic Laboratories of the Future: Towards World Models for Scientific Discovery
On the Value of Doing a PhD in the Age of AI

Applied Pure Mathematics

What Next for Academia?
The Age of Wonders and Terrors