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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-…
I wrote about AI in academia. "PhD-level thinking", LLM bias, grunt work, alignment, AGI, data center water use, AI politics -- something for everyone.
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...
Machine learning analysis of Autism phenotype data supports a four-dimensional continuum with three overlapping subtypes https://www.medrxiv.org/content/10.64898/2026.08.27.26361561v1
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.
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.
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