OK, this is a serious and long paper. It shows quite well how over reliance on ChatGPT during the learning phase on some topics impacts people. It's mesurable both from their behavior and through EEG. Of course, it'd require more such studies with larger groups. Still those early signs are concerning.

Nice video which gives a glimpse on how our brain constantly tries to build a coherent picture of the reality around us. This is quite a feat since our senses are ill equipped to produce such a picture. Of course we don't even notice all those processes when we go about our days.

Interesting study even though it bears some important limitations. Still it seems to indicate that one shouldn't rest on its laurels and keep practicing cognitive skills even when older (actually might have to get started in the 20s latest).

Friendly reminder that AI was also supposed to be a field about studying cognition... There's so many things we still don't understand that the whole "make it bigger and it'll be smart" obsession looks like it's creating missed opportunities to understand ourselves better.

This is an amazing example of the brain plasticity. It's also great to have a patch for increased quality of life with a training of only a few weeks.

Very interesting research. Looks like we're slowly moving away from the "language and thinking are intertwined" hypothesis. This is probably the last straw for Chomsky's theory of language. It served us well but neuroscience points that it's time to leave it behind.

This is a short article summarizing a research paper at the surface level. It is clearly the last nail in the coffin for the generative AI grand marketing claims. Of course, I recommend reading the actual research paper (link at the end) but if you prefer this very short form, here it is. It's clearly time to go back to the initial goals of the AI field: understanding cognition. The latest industrial trends tend to confuse too much the map with the territory.

Interesting research! Is reading code a math and logic task? Is it a language task? Well... it might be its own thing.

Friendly reminder that the neural networks we use are very much artificial. They're also far from working like biological ones do.

We still don't really know (actually it's super hard to have a definitive reason on this topic). This article presents more of a theory based on geometry... and this is interesting, we often don't think about this kind of things.

Very import milestone for brain mapping. Far from more complex animals of course and an insane amount of work each time. Still the common fruit fly is already revealing interesting new facts about neurology.

Fascinating results. Could have implications both for neurosciences and machine learning.