Unsurprisingly the news ain't good on the front of social media and short form videos. Better stay clear of those.

Interesting essay... Indeed not everyone think or learn in the same way or at the same speed. It's not the end of the world though, you tend to develop different strengths or weaknesses due to this.

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.

A nice followup which acts as a TL;DR for the previous piece which was fairly long indeed.

An excellent piece which explains well why the current "debate" is rotten to the core. There's no good way to engage with those tools without reinforcing some biases. Once the hype cycle is over we have a chance at proper research on the impacts... unfortunately it's not happening now when it's badly needed.

A personal experience which led to not using ChatGPT anymore. This kind of validates other papers on cognitive decline, the added value is in how it makes it more personal and concrete.

Somehow I missed this paper last year. Interesting review of studies on the use of gen AI chat systems in learning and research environments. The amount of ethical issues is non negligible as one would expect. It also confirms the negative impact of using those tools on cognitive abilities. More concerning is the creation of a subtle vicious circle as highlighted by this quote: "regular utilization of dialogue systems is linked to a decline in abilities of cognitive abilities, a diminished capacity for information retention, and an increased reliance on these systems for information".

Important principles to have in mind for proper UX/UI designs. There are more of course, those are the bare minimum though.

The "asleep at the wheel" effect is real with such tools. The consequences can be dire in quite a few fields. Here is a good illustration with OSINT.

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.

I like this kind of research as it also says something about our own cognition. The results comparing two models and improving them are fascinating.

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 clearly pointing in the direction of UX challenges around LLM uses. For some tasks the user's critical thinking must be fostered otherwise bad decisions will ensue.

It looks like it's not only impacting negatively our privacy. The linked paper (good to read as well) hints at negative impacts on mental health as well. Still needs to be fully validated but it doesn't look good already.

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.

Definitely this. Our cognitive capacity is limited, we'd better not deplete it due to complexity before we even reach the core of the problem at hand.

Still very early days on this topic, clearly more studies are required. Still this one is interesting and indicates are clear link between code review anxiety and code review avoidance. If you're often procrastinating or rubber stamping code reviews, a workshop to reduce biases and showing you can manage your anxiety could improve things greatly.

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.

One of those essentials questions in life now has some form of answer. Where is the blue/green boundary for you?