The title is a bit misleading in a way (and I almost didn't click through for a start). That said, it is an interesting essay dealing with the topics of intelligence, problem solving etc. I'm not sure I agree with everything in it, but that's still good food for thought.

A very good essay which reminds us we can't really reason in terms of absolute right or wrong.

I don't think I'm ready to give up just yet... Still, I recognise myself so much in this piece it feels like I could have written it (alas I don't write as well).

I'm really glad about this interview. I've been thinking that Machiavelli texts have been wrongly considered for a long time now. It's time to reconsider what Machiavellian should really mean.

Reminder of why privacy matter and why we shouldn't collectively give in to the data vultures.

A very precious philosopher from the 20th century. Her texts are still very precious and resonate today. In this piece it's focusing about tech relevant excerpts, she had plenty to say about today's politics as well.

Our craft is based on shifting sands. This brings interesting philosophical questions, like why do it at all? I think the answer proposed in this short article is spot on. It can help bring new ideas on how to be in the world. This is more important than the code itself.

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.

Makes a strong case about why LLMs are better described as "bullshit machine". In any case this is a good introduction into bullshit as a philosophical concept. I guess with our current relationship to truth these are products well suited to their context...

There are a few reasons to worry about the latest strain of generative neural networks. One of them is the trust we can place in new generated content. The other one is indeed the impact on our culture. There's been already a trend at focusing on what sells rather than what's truly novel or avant-garde. This could well push it further. We'll we drown in mediocre content?

Although I disagree with some of the examples she summons, I think she indeed has a point.

An excellent piece about the links between collapse and complexity. Obviously focuses more on socio-economics systems. Still some of it applies to other fields.

Another way to get into "carpe diem" mode I guess. :-)