Real innovations come from constraints. The frugal AI movement is clearly where we will see interesting things emerging. Interestingly, those approaches are closer to what AI is about as a research field than the industrial complex which got unleashed with all its extractive power.

The price hike on RAM due to the LLM as a service bubble is really killing interesting fields. Can't we have nice things? Will the arm race end soon?

This planned giant data center by Meta shows how the big players are grabbing land to satisfy their hubris. So much waste all around.

Are we on the verge to a push toward a mainframe based future? I really hope not, but for sure the hardware prices surging won't make things easy.

Let's not forget the ethical implications of those tools indeed. Too often people put them aside simply on the "oooh shiny toys" or the "I don't want to be left behind" reactions. Both lead to a very unethical situation.

Interesting analysis. It gives a balanced view on the possible scenarios around the AI hype.

Is this really to improve your work? Or make you dependent? In the end it might be the user which looses.

Very powerful talk from Bruce Sterling about design and the startup culture. The most impactful part starts somewhere in the middle (where the URL leads you).

Long but excellent opinion piece about everything which is wrong with the current AI-mania.

This debate around licensing, politics and making our FOSS efforts sustainable need to happen. It looks like for now to some people the path forward is defensive licensing? I wish at least we'd first attempt to have more strong copyleft use...

This is indeed the best way to handle your open source dependencies. I got concerns about the ability to sell that to management though because of the extra steps. It's also probably why you want to have an OSPO in your company, it's a good way to lower the barrier for developers to contribute this way.

I'm a bit on the fence regarding this article. That being said there's something I like about it: it's not always purely about money. It's also a good reminder that if the reward is in monetary form it's almost impossible to not somehow alter team dynamics with it.

I recognize myself quite a bit in this opinion piece. It does a good job going through most of the ethical and practical reasons why you don't need LLMs to develop and why you likely don't want to.

There's clearly something tempting about a web index somehow separated from Google. It always felt like a natural monopoly and so a type of public service.
Now that push arrives a tad late so the impacts are unclear. Overall I still think this would be a net positive if there are more web search companies built onto such an index.

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).

A long but important report in my opinion. Reading the executive summary is a must. This gives a good overview of the AI industrial complex and the type of society it's leading us into. The report algo gives a political agenda to put us on a better path.

It definitely has a point. The code output isn't really what matters. It is necessary at the end, but without the whole process it's worthless and don't empower anyone... It embodies many risks instead. I think my preferred quote in this article is this:
"We are teaching people that they are not worth to have decent, well-made things."

That's a good overview of the energy demand, it doesn't account for all the resources needed of course. Now of course like most articles and studies on the topic, it's very inaccurate because of the opacity from the major providers in that space. The only thing we know is that the numbers here are likely conservative and the real impact higher. Mass use of those models inferences is already becoming a problem, and it's bound to get worse.

It looks like desperate times for the venture capitalists behind the AI bubble...

Looks like the productivity gain promises are still mostly hypothetical. Except on specific limited tasks of course but that doesn't cover for a whole job. Also, when there is a gain it's apparently not the workers who benefit from them.