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Researcher with public evidence across AI research, Culture, work & education.
arxiv.org/abs/2605.26099 Language Models Need Sleep "attention mechanism scales poorly with context length. To handle this, we study a sleep-like consolidation mechanism in which a model periodically converts recent context into persistent fast weights before clearing its key-…
Hello friends, the Harvard Life Science departments have banded together to hire a new colleague working at the intersection of Life Sciences and AI. Could be primarily an experimentalist, or could be primarily a compute/theorist. academicpositions.harvard.edu/postings/16773
This is a great piece by Bill Bialek. arxiv.org/abs/2611.14381 He is an excellent and engaging writer. I wish though for a field where more people without his level of standing or privilege could feel free to write science in their own voice with more freedom of style beyond t…
I loved this take www.quantamagazine.org/is-ai-the-en...
So about that batshit insane AI millenarian Silicon Valley sex cult running much of big tech….from Sonia Joseph: siliconvalleynotes.substack.com/p/agi-cnc-an...
"AI for mathematics...beyond all reasonable doubt the field is undergoing a rapid transformation, unlike anything that we have ever seen...Language models are solving hard problems which humans could not, and mathematicians are reacting very differently" xenaproject.wordpress.…
To grieve, or not to grieve? xenaproject.wordpress.com
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I wrote about AI in academia. "PhD-level thinking", LLM bias, grunt work, alignment, AGI, data center water use, AI politics -- something for everyone.
Another study concluding AI review is better than human peer review No doubt people will continue to argue over this. But for me it yet again prompts the question: what are we trying to achieve with peer review? 1/n www.timeshighereducation.com/news/ai-arti...
A collaborative math project, started by Terence Tao, showed that mathematics could be conducted experimentally, and worked on by large groups of mathematicians at once. In doing so, it turned up something genuinely new.
Being able to record from large neuron populations has led to myriad methods to compare them, writes @itsneuronal.bsky.social. But we still grapple with how to convert measures of likeness into better mechanistic understanding. #neuroskyence www.thetransmitter.org/neural-dynam...
The EuroNMC COST Action has started — a four-year European network on neuromorphic computing. I am leading WG1: Foundations & Theoretical Models. Our question: when does a biological mechanism actually buy you something computationally, and when should it be deliberately viola…
Massive congrats to my PhD student @jajmca.bsky.social, co-supervised by John Wade & @conjh.bsky.social, who handed in his PhD thesis yesterday inside 3 years, virtually unheard of in the UK! Amazing theoretical/computational work linking structure to function in recurrent neural networks.
Surely the purpose of Trump's AI Force is to enable a surveillance state. More generally I am not so much worried about AGI or AI taking over humans, but humans using AI as a weapon for cyber attacks or a tool for mass surveillance on other humans.
circa 2010 during my PhD in a comp neuro/machine learning institute, at a computer vision seminar I asked a naive question and speaker said, yeah there is a running joke in ML that what we really need is 'a big model that knows everything'. Cue a chuckle from the audience How blind we were
I know people mourn the loss of the ability to use the em-dash for fear of suspicion of AI-ing their writing. But for me the big one is the rule of three - losing that has made me sad, frustrated, and even downright perturbed.
I teach a MSc module on Statistical Modelling and Machine Learning 4 years running, and every year without fail, I have to look up, many times, the difference between Type I and Type II errors Why were they not just named after some extinct eugenicists like everything else in statistics
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