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Bradley Love

@profdata.bsky.social
4.3K followers 804 following 62 posts

Senior research scientist at Los Alamos National Laboratory. Former UCL, UTexas, Alan Turing Institute, Ellis EU. CogSci, AI, Comp Neuro, AI for scientific discovery bradlove.org

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Bradley Love @profdata.bsky.social · 02/06/2026
Last month Dawkins declared Claude conscious and was mocked. @garymarcus.bsky.social cleverly called it The Claude Delusion. My (and Nagel's?) take: Both are wrong for the same reason. Here's why the question of machine consciousness will never be settled scientifically. arxiv.org/abs/2606.00226
arxiv.org
Consciousness, AI, and the Limits of Scientific Explanation
Science is constitutively third-personal: its findings are in principle reproducible by any observer, independent of perspective, and answerable to measurement. This is the source of its power and als...
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Alison Preston @aliprestonphd.bsky.social · 06/03/2026
Every time you experience something new, your brain faces a decision: Should it update an existing memory or create a new one? In our new paper in @sfnjournals.bsky.social #JNeurosci, we isolate that exact decision, moment-by-moment during learning 🧵
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Bradley Love @profdata.bsky.social · 28/01/2026
Are you a graduate student interested in working at Los Alamos National Laboratory (LANL) this summer? LANL has student internships, apply here: lanl.jobs/search/jobde... Please apply ASAP and before February 13th (sorry for the rush) 1/2
lanl.jobs
Computing & Artificial Intelligence (CAI) Division Graduate Intern at Los Alamos National Laboratory
Los Alamos National Laboratory is Hiring! Search available jobs or submit your resume now by visiting this link. Please share with anyone you feel would be a great fit.
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Bradley Love @profdata.bsky.social · 25/11/2025
"The inevitability and superfluousness of cell types in spatial cognition". Intuitive cell types are found in random artificial networks using the same selection criteria neuroscientists use with actual data. elifesciences.org/reviewed-pre... 1/2
elifesciences.org
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Bradley Love @profdata.bsky.social · 25/11/2025
Exciting "new" work illustrating our broken publishing system. Seb presented this work online at neuromatch 2.0 at the height of the pandemic. Then, Xin-Ya worked years on addressing reviewer comments, which added some rigor but didn't change the message. 1/2
nature.com
Adaptive stretching of representations across brain regions and deep learning model layers - Nature Communications
How the brain adapts its representations to prioritize task-relevant information remains unclear. Here, the authors show that both monkey brains and deep learning models stretch neural representations...
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Bradley Love @profdata.bsky.social · 25/11/2025
When AI surpasses human performance, what's left for humans? We find that human judgment boosts performance of human-AI teams because humans and machines make different errors. cell.com/patterns/ful... 1/2
cell.com
Confidence-weighted integration of human and machine judgments for superior decision-making
When AI surpasses human performance, what can humans offer? We demonstrate that the performance of teams increases by integrating human judgments with those of machines. Integration is achieved by a s...
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The Transmitter @thetransmitter.bsky.social · 04/11/2025
Researchers are using LLMs to analyze the literature, brainstorm hypotheses, build models and interact with complex datasets. Hear from @mschrimpf.bsky.social, @neurokim.bsky.social, @jeremymagland.bsky.social, @profdata.bsky.social and others. #neuroskyence www.thetransmitter.org/machine-lear...
thetransmitter.org
How neuroscientists are using AI
Eight researchers explain how they are using large language models to analyze the literature, brainstorm hypotheses and interact with complex datasets.
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PessoaBrain @pessoabrain.bsky.social · 06/10/2025
Michael X Cohen on why he left academia/neuroscience. mikexcohen.substack.com/p/why-i-left...
mikexcohen.substack.com
Why I left academia and neuroscience
Don't worry, this isn't yet another story of rage-quitting.
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Bradley Love @profdata.bsky.social · 18/07/2025
Some UK dude is trying to extort me, demanding money to not spread made-up stories. I reported to the poilice after getting flooded with phone messages I never listen to, etc. @bsky.app has been good about deleting his posts and accounts. If contacted, don't interact, but instead report to...1/2
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Bradley Love @profdata.bsky.social · 13/06/2025
New blog w @ken-lxl.bsky.social, “Giving LLMs too much RoPE: A limit on Sutton’s Bitter Lesson”. The field has shifted from flexible data-driven position representations to fixed approaches following human intuitions. Here’s why and what it means for model performance bradlove.org/blog/positio...
bradlove.org
Giving LLMs too much RoPE: A limit on Sutton’s Bitter Lesson — Bradley C. Love
Introduction Sutton’s Bitter Lesson (Sutton, 2019) argues that machine learning breakthroughs, like AlphaGo, BERT, and large-scale vision models, rely on general, computation-driven methods that prior...
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Bradley Love @profdata.bsky.social · 28/05/2025
New blog, "Backwards Compatible: The Strange Math Behind Word Order in AI" w @ken-lxl.bsky.social It turns out the language learning problem is the same for any word order, but is that true in practice for large language models? paper: arxiv.org/abs/2505.08739 BLOG: bradlove.org/blog/prob-ll...
https://bradlove.org/blog/prob-llm-consistency
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Bradley Love @profdata.bsky.social · 14/05/2025
"Probability Consistency in Large Language Models: Theoretical Foundations Meet Empirical Discrepancies" Oddly, we prove LLMs should be equivalent for any word ordering: forward, backward, scrambled. In practice, LLMs diverge from one another. Why? 1/2 arxiv.org/abs/2505.08739
arxiv.org
Probability Consistency in Large Language Models: Theoretical Foundations Meet Empirical Discrepancies
Can autoregressive large language models (LLMs) learn consistent probability distributions when trained on sequences in different token orders? We prove formally that for any well-defined probability ...
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Bradley Love @profdata.bsky.social · 17/02/2025
"Coordinating multiple mental faculties during learning" There's lots of good work in object recognition and learning, but how do we integrate the two? Here's a proposal and model that is more interactive than perception provides the inputs to cognition. www.nature.com/articles/s41...
nature.com
Coordinating multiple mental faculties during learning - Scientific Reports
Scientific Reports - Coordinating multiple mental faculties during learning
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Erin Grant @eringrant.me · 21/01/2025
Last year, we funded 250 authors and other contributors to attend #ICLR2024 in Vienna as part of this program. If you or your organization want to directly support contributors this year, please get in touch! Hope to see you in Singapore at #ICLR2025!
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Bradley Love @profdata.bsky.social · 13/12/2024
Thanks @hossenfelder.bsky.social for covering our recent paper, doi.org/10.1038/s415... Also, I want to spotlight this excellent podcast (19 minutes long) with Nicky Cartridge covering how AI will impact science and healthcare in the coming years, touchneurology.com/podcast/brai...
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Bradley Love @profdata.bsky.social · 27/11/2024
"Large language models surpass human experts in predicting neuroscience results" w @ken-lxl.bsky.social and braingpt.org. LLMs integrate a noisy yet interrelated scientific literature to forecast outcomes. nature.com/articles/s41... 1/8
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Bradley Love @profdata.bsky.social · 19/11/2024
"Beyond Human-Like Processing: Large Language Models Perform Equivalently on Forward and Backward Scientific Text" Our take is that large language models (LLMs) are neither stochastic parrots nor faithful models of human language processing. arxiv.org/abs/2411.11061 1/2
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Bradley Love @profdata.bsky.social · 19/11/2024
Has anyone tried this tool to follow back all of one's followers? github.com/jiftechnify/... It seems legit but I'm weary of giving a password to a third party website. So many people here so suddenly!
github.com
bsky-follow-back-all/ at main · jiftechnify/bsky-follow-back-all
Contribute to jiftechnify/bsky-follow-back-all development by creating an account on GitHub.
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Blake Richards @tyrellturing.bsky.social · 28/08/2024
I fully support the last sentence of this abstract from @profdata.bsky.social : elifesciences.org/reviewed-pre... "...the complexity of the brain should be respected and intuitive notions of cell type, which can be misleading and arise in any complex network, should be relegated to history." 🧠📈 🧪
elifesciences.org
The inevitability and superfluousness of cell types in spatial cognition
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CogCompNeuro @cogcompneuro.bsky.social · 27/03/2024
🚨Submissions for #CCN2024 are now open at ccneuro.org 🚨 We welcome submissions for 2-page papers (deadline: 12 April) and Generative Adversarial Collaborations (GACs), Keynote+Tutorials, and (new this year!) Community Events (deadline: 5 April). Stay tuned: registration will open in early April!
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Bradley Love @profdata.bsky.social · 20/03/2024
Here's a recent talk I gave on the braingpt.org project, touching on findings from here, arxiv.org/abs/2403.03230. The video is sectioned for those wishing to skip the bits on explanatory vs. predictive approaches. youtu.be/sDt4-Q_jz7g?...
youtu.be
"Taming the neuroscience literature with explanatory and predictive models" (BrainGPT) - YouTube
Chapters:0:00 Introduction3:30 Process models (theoretical, explanatory)16:18 Models as tools (BrainGPT, predictive)39:03 ConclusionsModels can help scienti...
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Clare Press @clarepress.bsky.social · 18/03/2024
📢 ERC-funded PhD in our team 📢. Curious about the mechanisms underlying learning and perception? Wish to study them via modelling and neuroimaging? This may be for you! Email me qus. Please circulate 🙏 www.findaphd.com/phds/project...   #HiSciSky #neuroskyence #PsySciSky
findaphd.com
Cognitive Neuroscience PhD at UCL at University College London on FindAPhD.com
PhD Project - Cognitive Neuroscience PhD at UCL at University College London, listed on FindAPhD.com
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Bradley Love @profdata.bsky.social · 07/03/2024
"Large language models surpass human experts in predicting neuroscience results" w @ken-lxl.bsky.social and braingpt.org. LLMs integrate a noisy yet interrelated scientific literature to forecast outcomes. arxiv.org/abs/2403.03230 1/6
arxiv.org
Large language models surpass human experts in predicting...
Scientific discoveries often hinge on synthesizing decades of research, a task that potentially outstrips human information processing capacities. Large language models (LLMs) offer a solution....
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The vOICe vision BCI 🧠🇪🇺 @seeingwithsound.bsky.social · 03/03/2024
Why do universities ignore good ideas? mindmatters.ai/2024/03/why-...
mindmatters.ai
Why Do Universities Ignore Good Ideas?
Here is a recent assessment of 2023 Nobel Prize Winner Katalin Kariko: Another article claims that this occurred because she could not get the financial support to continue her research.
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Artificial Intelligence Research Centre, CitAI. @citai.bsky.social · 21/02/2024
#CitAI_seminars: On Thu, March 21 at 16:00 GTM, Bradley C. Love @profdata.bsky.social  will deliver a talk on  "Taming the neuroscience literature with explanatory and predictive models"  More information:   cit-ai.net/seminars.html If you wish to Zoom in, email the organisers or @emp1.bsky.social
cit-ai.net
CitAI-Seminars
Website of the Artificial Reseach Centre, CitAI. Seminars.
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The Transmitter @thetransmitter.bsky.social · 23/01/2024
Are you interested in getting your science journalism career started? The Transmitter is seeking a summer intern to cover the fast-moving field of neuroscience. Find out more and apply for the role here: simonsfoundation.wd1.myworkdayjobs.com/en-US/simons...
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Bradley Love @profdata.bsky.social · 18/01/2024
"The inevitability and superfluousness of cell types in spatial cognition" w Ken Luo @robmok.bsky.social Whether place, border, head direction, Jennifer Aniston, or whatever cells, are we fooling ourselves? Are these intuitive findings scientific discoveries? 1/6 www.biorxiv.org/content/10.1...
biorxiv.org
The inevitability and superfluousness of cell types in spatial cognition
bioRxiv - the preprint server for biology, operated by Cold Spring Harbor Laboratory, a research and educational institution
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Nadine Dijkstra @nadinedijkstra.bsky.social · 19/12/2023
@quantamagazine.bsky.social made a really cool video about our study and other cool research done this year! www.youtube.com/watch?v=qt6B...
youtube.com
2023's Biggest Breakthroughs in Biology and Neuroscience
A look back at some of the highlights of biology coverage in Quanta Magazine during 2023, including important research progress into the nature of consciousn...
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Steve Fleming @smfleming.bsky.social · 19/12/2023
Now published in Ann Rev Psych, just in time for Christmas! I lay out a framework for bridging between neuroscientific work on (subpersonal) confidence and a psychology of personal-level metacognition www.annualreviews.org/doi/abs/10.1...
annualreviews.org
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Esther Mondragón @e-mondragon.bsky.social · 18/12/2023
Join us!
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Bradley Love @profdata.bsky.social · 18/12/2023
Neuroscientists, please complete the BrainGPT.org survey to build a benchmark to develop and evaluate LLMs as tools for scientific discovery. Here's a link to the 11 question, 15-20 minute survey, research.sc/participant/... Below is a mock up of BrainGPT t-shirts we'll raffle off to participants.
BrainGPT t-shirts, light and dark
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Bradley Love @profdata.bsky.social · 11/12/2023
How predictable is neuroscience? Can LLMs outperform humans? Please participate in the BrainGPT.org survey to help us find out. You choose between two versions of a neuro abstract: the original vs. one with altered results. Which is which? research.sc/participant/... 1/2
research.sc
Powered by Gorilla
Make the world a better place by participating in cutting edge behavioural research. Powered by Gorilla
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Earl K. Miller @earlkmiller.bsky.social · 04/12/2023
New results! Led by Brad Love and crew. Higher cortical areas radically reconfigure to stretch representations along task-relevant dimensions. It sure sounds like something they would do, doesn't it? #neuroscience www.biorxiv.org/content/10.1...
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Bradley Love @profdata.bsky.social · 04/12/2023
"Adaptive stretching of representations across brain regions and deep learning model layers": Using monkey multi-unit recording data, we find representations across cortex (PFC, FEF, LIP, IT) adaptively stretch along task relevant stimulus dimensions. Still migrating; longer thread on twitter :-)
biorxiv.org
Adaptive stretching of representations across brain regions and deep learning model layers
bioRxiv - the preprint server for biology, operated by Cold Spring Harbor Laboratory, a research and educational institution
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Hugo Spiers @hugospiers.bsky.social · 10/10/2023
This review in Trends in Cognitive Sci. was fun to write with Pablo Fernandez-Velasco Wayfinding across ocean and tundra: what traditional cultures teach us about navigation A range of insights from research in anthropology to help psychologists/cog-sci/neuroscientists www.cell.com/trends/cogni...
Map of where different cultural groups that have been studied for their exceptional navigation skill
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Bradley Love @profdata.bsky.social · 12/10/2023
Can learning occur offline w asyncrhonous inputs? Yes, in systems alignment entire embeddings (e.g., visual and linguistic) are mapped in an unsupervised manner. Systems alignment can support children's word learning. IMO, this is an important form of learning neglected in psych, neuro, and ML.
pnas.org
PNAS
Proceedings of the National Academy of Sciences (PNAS), a peer reviewed journal of the National Academy of Sciences (NAS) - an authoritative source of high-impact, original research that broadly spans...
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Bradley Love @profdata.bsky.social · 09/10/2023
Good News: Microsoft's Accelerating Foundation Models Research initiative has provided computing to help train BrainGPT, a tool to assist neuroscience research. Thank You! Sign-up at BrainGPT.org for updates, including on our forthcoming benchmark slated for late 2023. ·
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Mackenzie Weygandt Mathis @trackingactions.bsky.social · 07/10/2023
I’m hiring!! Want to join our team? We need another software engineer! 🔥 hit me up on Linkedin ⬇️
linkedin.com
Mackenzie Mathis, PhD on LinkedIn: The Mathis Lab of Adaptive Motor Control
NEW! Software engineer position in NeuroAI 🔥 The  Mathis Group of Computational Neuroscience & AI (UPAMATHIS, https://mathisgroup.org) and Mathis Laboratory…
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