When SEO and generated content meet... this isn't pretty. The amount of good content on the web reduced in the past decade, it looks like we're happily crossing another threshold in mediocrity.

The actual dangers of generative AI. Once the web is flooded with generated content, what will happen to knowledge representation and verifiability?

Very interesting study, shows how toxic comments impact contributions. Gives a good idea of the probability for people to leave. In the case of Wikipedia this highlights reasons which contribute to the lack of diversity in the contributors. This is a complex community issue in general, this studies does a good thing by shedding some light on the dynamics in the case of Wikipedia.

Interesting move, I'm wondering how far this will go. Reuse of those functions in other Wikimedia project will be critical to its success.

Looks like an old website, still it does a neat job of explaining how the field of knowledge representation evolved. This is nice to see a reference for beginners since I dabbled quite a bit into this years ago and it wasn't very accessible.

A good reminder on how the "five why" are just a starting pont. For proper investigation and risk management you need to go deeper.

Interesting alternative to the "T-shaped skills" metaphor.

Very nice article. We must not loose from sight that actual learning requires some sort of effort. Even better when it's coupled to using your hands (definitely why I still take notes written by hands for some things).

So much this. It's important to keep in mind what will last and what is the buzz of the day. Especially since the lines between news and entertainment became so blurry.

So transformer models produce things that look plausible... and that's it. What would it look like if we started to make hybrid models in which a transformer model is also tied to proper computation tools with general knowledge? This piece is a good illustration of what it could provide.

Too often forgotten. Data is indeed a mean to an end. It's not outright knowledge and will require work to be useful. It better be aligned with your needs if you want to use it for decision making.

This is indeed very much true... there's a clear crisis in research. It turned into a hamster wheel of publishing articles at a constantly faster pace. The incentives are misguided which pushes that behavior to even have a career. Meanwhile, knowledge building suffers.

OK, this is an interesting practice... I do some of that in a less formal fashion, maybe it's worth exploring further.

Interesting article about how we badly design AI systems which make them very vulnerable to the quality of the data they receive. That's in part why I'd expect that somehow we'll see knowledge representation somehow come back in fashion because they have some potential to lead to better explicability in models.

It's a very nice paper on spreadsheets and how we use them. It got enough history in it to make me tick (goes back all the way to the 1300s!). Also it's well balanced, it's not just about blindly blaming tools but looks at their shortcomings but also how we often use the wrong tool for the task... and then end up managing data and knowledge really badly.