The list of most relevant themes we identified is: 1. Rhetoric of inevitability and technological determinism: presenting the adoption and use of (generative) AI as a fait accompli. 2. Exaggerated narratives: overstating the general capabilities of the technology, or leaving out that certain seemingly impressive capabilities can only be achieved under very specific experimental conditions. 3. Spurious comparison to human intelligence or Anthropomorphism: presenting AI as if it thinks or reason like a human. 4. Ethics and critical washing: presenting AI as being ethically or critically examined but doing so only superficially and inconsequentially. 5. Wishful thinking and uncertain feasibility: assuming desired outcomes or functionality despite lacking realistic evidence they can be achieved. 6. GenAI is presented as indispensable: portraying AI as essential even when simpler or non-AI solutions are sufficient. 7. Unrealistic and ill-defined conditions: formulating requirements for adoption and use that are functionally impossible or too demanding to be met, psychologically implausible to follow, or set unclear boundaries for acceptable and unacceptable behaviour, which could easily create inconsistencies. 8. Resources as propaganda: resources for students, faculty, and other stakeholders are made available but only for incentivizing different degrees of use of genAI. 9. AI Overkill: Substitution or replacement of tasks for which the technology was not designed; from tutoring to teaching to research, everything must be now with AI, even if it is not adequate. Due to space limitations, rather than discussing all of the themes superficially, this essay addresses only the first four, which, in our view, are the most critical and the most urgently in need of critical scrutiny. T

For all those involved in drafting so-called AI guidelines, but being overwhelmed with nonsense, this is a lifesaver. Great work by Dagmar and Ariel!

Resisting Enchantment and Determinism: How to critically engage with AI university guidelines. doi.org/10.5281/zeno...

AI companies will fail. We can salvage something from the wreckage | Cory Doctorow AI is asbestos in the walls of our tech society, stuffed there by monopolists run amok. A serious fight against it must strike at its roots

I learned a lot from this piece by Cory Doctorow, like "The primary goal [for tech bosses] is to keep the market convinced that your company will continue to grow" (hey, I'm a scientist, I don't know business, eh).

www.theguardian.com/us-news/ng-i...

Possible graduate programs: Computational Science & Engineering, Neuroscience, Psychology. All applicants welcome, equity seeking groups and Canadian students especially encouraged to apply. Contact me at cannoj9@mcmaster.ca, mention this post!

Seeking PhD students for research in computational models of rhythm perception at McMaster University (Hamilton, Ontario, Canada). Work may also include experiments on rhythm production in Parkinson’s patients and/or analysis of intracranial dopamine and LFO data, depending on interests and skills.

Seeking students — especially Canadian residents, who are less expensive, but all applicants welcome — to study the computational and neural underpinnings of rhythm perception and production! Reach out with questions or interest at cannoj9@mcmaster.ca.

Back home after a fantastic @rppw.bsky.social . A “home conference” is where you don’t have to explain why people should care about what you care about, and having one is such a luxury.

a monkey robot with the words prove you 're not a robot ALT: a monkey robot with the words prove you 're not a robot

Big congratulations and thanks to first author Yassaman Ommi, who took her Master’s project very seriously while consistently imagining that she was training a robot monkey to dance, and to her Master's Defence committee (including John Iversen) for helpful comments.

Thus, we suspect that the development of human synchronization (and human enjoyment of synchronization) is scaffolded by dopaminergic signals that reward earliness over lateness and that reinforce the imitation of observed time intervals, perhaps as a special case of rewarding action imitation.

...and the activity also showed patterns repeating with a period of two clicks, which strongly suggested the human tendency to hear metronome clicks in groups of two.

But that's not all! When we looked at the "neural activity" in the network during synchronization, we saw loops of activity with radii dependent on tempo, much like the neural activity observed in monkeys trained to synchronize...

When the training set consisted of metronomes with jittered timing, this rule produced taps slightly ahead of the clicks, just like humans do, and reduced this lead time with additional training, just like humans with musical training.

Only the rules that penalized lateness produced synchronized tapping. And only the rule that also rewarded correct intervals produced synchronized tapping that could correct error induced by metronome timing perturbations.

a penguin wearing a viking helmet with the words you 're late written above it ALT: a penguin wearing a viking helmet with the words you 're late written above it

We explore several possible reinforcement rules. Each gives maximal reward for taps perfectly synchronized with clicks. But some strongly penalize lateness, and some additionally reward the production of intervals of appropriate duration.

The model consists of an LSTM recurrent neural network that receives periodic “auditory” "clicks" at a range of periods, produces “tap” actions that occur after a short delay, and is rewarded for its actions according to a reinforcement scheme.

Preprint alert: how do we learn to synchronize our movement with rhythmic sounds? And why is it so much fun? We’ve created a reinforcement learning model to explore possible hypotheses, and one hypothesis came out on top! Read on! papers.ssrn.com/sol3/papers....

Now available online!
online.ucpress.edu/mp/article/d...
(free for 30 days) or
online.ucpress.edu/mp/article-a...

Kurt Vonnegut tells his wife he's going out to buy an envelope: "Oh, she says, well, you're not a poor man. You know, why don't you go online and buy a hundred envelopes and put them in the closet? And so I pretend not to hear her. And go out to get an envelope because I'm going to have a hell of a good time in the process of buying one envelope. I meet a lot of people. And see some great looking babies. And a fire engine goes by. And I give them the thumbs up. And I'll ask a woman what kind of dog that is. And, and I don't know. The moral of the story is — we're here on Earth to fart around And, of course, the computers will do us out of that. And what the computer people don't realize, or they don't care, is we're dancing animals. You know, we love to move around. And it's like we're not supposed to dance at all anymore."

Kurt Vonnegut man

@kordinglab.bsky.social

More info available soon at my lab website, metre.mcmaster.ca

If you are interested, please send me a CV and cover letter at cannoj9@mcmaster.ca, plus emails for three references. Postdocs will start ASAP, and students will probably have to wait until fall 2026 (but never too early to reach out!)

...and could also use help perfecting rhythm cognition experiment designs and analyzing neural time series data. I am looking for candidates with experience in any combination of these competencies.

Over the next two years, I am looking for at least one postdoc and several students to work with us, based at McMaster in Hamilton ON Canada. I will mainly need help developing computational models based in systems-level neurophysiology and/or predictive processing...

We will be testing several theories based on models of reinforcement learning and action selection in the basal ganglia loop and of rhythm perception as a process of Bayesian active Inference.

Dan's group will use fast-scan cyclic voltammetry to measure dopamine levels in human basal ganglia at subsecond resolution while neurosurgery patients listen and/or tap along to rhythmic stimuli. (Yes, it's possible!)

I am honored, delighted, excited, and slightly panicked to have just received a Human Frontier Science Project grant. I will work with Dan Bang at University of Aarhus, Denmark, to explore the role of dopamine in the human capacity and compulsion to predict and move along with auditory rhythms.

SEEKING POSTDOCS AND STUDENTS for computational/experimental collaboration on neuroscience of human rhythm perception! Thread!

The Music Lab We do citizen science to learn how the human mind creates and perceives music.

Not that anybody would be looking for opportunities outside the states these days, but I'm recruiting a PhD student in auditory stuff (Developmental and/or Cognitive / citizen science etc) here in Auckland, NZ

www.themusiclab.org/about#join

Thanks to early readers -- @perikeller.bsky.social , Peter Vuust, @sylvienozaradan.bsky.social, Alan Wing -- and to my lab for following me down this rabbit hole! Experimental results to follow in not too long!

So what can we do with this understanding? In addition to explaining experimental results, this idea poses challenges to existing models of rhythm production and entrainment, and may be a key to understanding the role of the cerebellum and the impact of autism on sensorimotor synchronization.

A simple model captures it all -- see paper for mathy (but not TOO mathy) details!