"If we still believe that science is a vocation grounded in argument, curiosity and care, we can’t delegate judgement to machines" https://www.timeshighereducation.com/opinion/ai-not-peer-so-it-cant-do-peer-review #ai #peerreview #academia
AI is not a peer, so it can’t do peer review
If we still believe that science is a vocation grounded in argument, curiosity and care, we can’t delegate judgement to machines, says Akhil Bhardwaj
timeshighereducation.com
How to be stupid with confidence! 👇
MU-Peter Shimon 🀄@mu-peter.bsky.social · 2w agoAI advice made people 3 times less accurate but twice as confident Willingness to say "I don't know" collapsed from 44% to 3% when AI was available AI advice suppresses people’s willingness to say “I don’t know”, even when the advice is wrong and accuracy is incentivized🧪 osf.io/preprints/ps...
AI advice made people 3 times less accurate but twice as confident Willingness to say "I don't know" collapsed from 44% to 3% when AI was available AI advice suppresses people’s willingness to say “I don’t know”, even when the advice is wrong and accuracy is incentivized🧪 osf.io/preprints/ps...
WTF, certainly not buying any antibodies from thermo anymore 😠
Reese Richardson@reeserichardson.bsky.social · 2mo agoTL;DR: We've identified more than 100 cases of apparent manipulation in Thermo Fisher Scientific's antibody verification data. @sholtodavid.bsky.social @johanduchene.bsky.social reeserichardson.blog/2026/05/28/h...
Are you interested in climate modeling & #ML? Sylvia Wenmackers is looking for a #philsci PhD student to examine #uncertainty & #causality in climate science 👇🌍🌡️ www.kuleuven.be/personeel/jo... Apply by August 31 & please help us spread the word! #philsky #academicsky #MLsky #envhum #HPS
Qualia goes where curiosity leads. This week, writer Philip Ball goes down a contentious rabbit hole to see if living organisms (including the rabbit) have agency, or do things for their own reasons. Read the latest column: www.quantamagazine.org/is-life-just...
Is Life Just Different? | Quanta Magazine
The idea of ‘biological agency’ — that life devises its own goals and behaves accordingly — complicates our understanding of what it means to be alive. But does it serve a scientific purpose?
quantamagazine.org
Special thanks to both my amazing co-authors, @akhilesh-nandan.bsky.social, for kickstarting this project with me, and @koch-lab.bsky.social for the intriguing discussions and support throughout the project. :)
NIH grants have been under political scrutiny since early 2025. But what does the screening process actually look like? What is being flagged? I spent a month digging into leaked docs and emails. We've published the 235-word list that are being flagged by an internal AI tool. And so much more. 🧵
Inside the new political screening that’s stalling NIH grants
Mandatory reviews by top health officials and checks for 235 disfavoured terms have left hundreds of vetted grant applications in administrative limbo.
nature.com
I totally agree, science is not a simple optimization problem, or at least not in the form conceived by most existing systems. @battleday.bsky.social and I wrote about this recently from a somewhat different perspective (emphasizing the 'problem problem'): gershmanlab.com/pubs/Battled...
gershmanlab.com
Melanie Mitchell@melaniemitchell.bsky.social · 3mo ago"Science is not simply a sequence of tasks that can be optimized....The scientific system thrives on inefficiency: redundant efforts, failed attempts, and divergent paths. These are not costs to be eliminated but sources of discovery." Excellent essay! ⬇️ www.science.org/doi/10.1126/...
A simple baseline for AI forecasting in machine learning. In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively simple forecasting strategy — context parroting — can outperform several leading machine-learning forecasting models.
A simple baseline for AI forecasting in machine learning
In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively simple forecasting strategy can outperform several leading machine learning forecasting models. Their method, called context parroting, relies on short stretches of time-series data (or context). As it moves through the time series, it scans for similar patterns or motifs that appeared earlier in the sequence, and uses those patterns to predict what might come next.
santafe.edu
(1/2) 🎉👻 New pre-print with @akhilesh-nandan.bsky.social 👻🎉 ➡️Generalized definitions of saddle-nodes & their ghosts ➡️Algorithms to identify + characterize #ghosts (+ ghost channels/cycles) ➡️Applications: #neuronal, #climate tipping and #gene regulatory #dynamics ➡️bifurcations between ghosts 😮
Generalized saddle-node ghosts and their composite structures in dynamical systems
The study of dynamical systems has long focused on the characterization of their asymptotic dynamics such as fixed points, limit cycles and other types of attractors and how these invariant sets chang...
arxiv.org
Thrilled to see the second paper of the lab out 🤩 Check it out if you need a method to infer causality from neural data, even when the signal is short! Paper: joss.theoj.org/papers/10.21... Code: github.com/CMC-lab/Tran...
TranCIT: Transient Causal Interaction Toolbox
Nouri et al., (2025). TranCIT: Transient Causal Interaction Toolbox. Journal of Open Source Software, 10(116), 9302, https://doi.org/10.21105/joss.09302
joss.theoj.org
Salar Nouri@sanouri.bsky.social · 4mo agoWanna infer causal interactions during brief, transient neural events? 🧠⚡ Many methods struggle with such non-stationarities, but we got a robust solution for you! 📦 My recent publication with @cmc-lab.bsky.social 🥳: TranCIT: Transient Causal Interaction Toolbox 📜 JOSS: bsky.app/profile/joss...
"Superintelligent AI will finally cure cancer" is the promise many AI companies are making to governments, investors, and consumers alike. As they claim: more intelligence = more chances of finding a cure. But as FLI's Dr. Emilia Javorsky lays out in a new essay, it's not nearly that simple. 🧵1/2
Bohoo... 👻 ! Looking forward to present our latest work on generalized SN #ghosts + algorithms to identify 👻s at the transient #dynamics workshop @pik-potsdam.bsky.social on March 2nd :-) ➡️ including examples from #neuroscience, #climate and gene regulatory networks
tocsy.pik-potsdam.de
🚀 New Research Topic Open! Explore how oscillations in physiological networks (e.g., immune, cardiovascular, neuronal, gut) shape their function. Submit your abstracts by April 11, 2026 to Frontiers in Network Physiology ➡️https://tinyurl.com/52rb48hr #Physiology #Networks #Oscillations #Dynamics
Frontiers | The rhythms in physiological networks: mechanisms and applications
Network Physiology is an multidisciplinary field dedicated to uncovering the complexity of physiological interactions across diverse physiological systems an...
tinyurl.com
Beautiful work by @pauformosa.bsky.social 's group, demonstrating the existence of ghost attractors 👻not only in simulations but also experimentally! 🫶💪
Pau Formosa-Jordan@pauformosa.bsky.social · 8mo agoWondering about the dynamics during a developmental transition? Check out our preprint “Time-dependent bistability leads to critical slowing down during floral transition in Arabidopsis”, a very exciting collaboration with the Coupland lab @mpipz.bsky.social doi.org/10.64898/202...
Very happy to share our 'Evoscape' paper, now published in PNAS ! www.pnas.org/doi/10.1073/...
Generative epigenetic landscapes map the topology and topography of cell fates | PNAS
Epigenetic landscapes were proposed by Waddington as the central concept to describe cell fate dynamics in a locally low-dimensional space. In mode...
pnas.org
More than 1,900 people, mostly children, have been sickened by measles in the U.S. in 2025. The outbreaks are moving the country toward losing its measles-free status by early next year
Measles Outbreaks Accelerate as U.S. Inches Closer to a Disease Tipping Point
More than 1,900 people, mostly children, have been sickened by measles in the U.S. in 2025. The outbreaks are moving the country toward losing its measles-free status by early next year
scientificamerican.com
Seeing your lab name at the door as a new PI for the first time - priceless! 🤩 Excited to join @umanitoba.bsky.social and @stbonifaceresearch.bsky.social as Assistant Professor! 😊
We wrote a little #NeuroAI piece about in-context learning & neural dynamics vs. continual learning & plasticity, both mechanisms to flexibly adapt to changing environments: arxiv.org/abs/2507.02103 We relate this to non-stationary rule learning tasks with rapid performance jumps. Feedback welcome!
What Neuroscience Can Teach AI About Learning in Continuously Changing Environments
Modern AI models, such as large language models, are usually trained once on a huge corpus of data, potentially fine-tuned for a specific task, and then deployed with fixed parameters. Their training ...
arxiv.org
Our new paper in #PRE @physreve.bsky.social on how #criticality governs the response of systems with 👻 #dynamics ("ghost cycles") to external inputs compared to #slow-fast systems: journals.aps.org/pre/abstract... Had a great time working with @koseskalab.bsky.social and Ulrike Feudel, TY! 😊
We are at #DDays2025 ! Join us at our 3!! talks on multistability and metastability, today, on Thursday and Friday! @mpinb.mpg.de
👇🏻👇🏻👇🏻 Pre-print alert 👇🏻👇🏻👇🏻 We developed the concept of signaling homeorhesis to describe regulation of cell phenotype under dynamic signals, demonstrating that cells actively interpret signals from their environment to determine cell fate! @mpinb.mpg.de www.biorxiv.org/content/10.1...
Homeorhetic regulation of cellular phenotype
How cells translate growth factor (GF) signals into context-specific phenotypes remains a fundamental question in cell biology. The classical view holds that cells translate a constant concentration o...
biorxiv.org