It feels like it's supercharging an old bias... We tend to confuse confidence for competence.

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?

Not peer reviewed as far as I can tell. That said if confirmed by other studies this feels like an important paper. The language flattening might be real and this will have lasting cultural impacts.

I personally think this is where it'll head after the bubble pops. We should be able to recover enough material to have something viable to run locally. The question will be "where the updated models come from?", it might be the public sector helping there and hopefully those will be truly FOSS and ethical (like Apertus).

This is concerning, hopefully the amount of issues which get through will be limited.

Very good essay on why the developer profession is not going away. On the contrary we need to double down on essential skills and put in the work. This is long overdue anyway.

One more example that it should be used for NLP tasks, not knowledge related tasks. The model makers are consuming so much data indiscriminately that they can't easily fine comb everything to remove the poisoned information.

The OpenClaw instances running around are really a security hazard...

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

Still a bit mysterious but could be interesting if they really deliver.

I was so waiting for someone motivated enough to publish a review of that paper. I indeed threw it away as weak after reading it. Thanks for taking the time to write this up! This is good scientific inquiry... and it shows there were interesting findings in the paper that the authors decided to just ignore.

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.

Interesting point. As we see the collapse of public forums due to the usage of AI chatbots, we're in fact witnessing a large enclosure movement. And it'll reinforce itself as the vendors are training on the chat sessions. What used to be in public will be hidden.

Interesting ideas on how to approach teaching at the university. It gives a few clue on how to deal with chatbots during exams, can be improved but definitely a good start.

I'm not sure the legal case is completely lost even though chances are slim. The arguments here are worth mulling over though. There's really an ethical factor to consider.

I agree with this so much. It's another one of those I feel I could have written. I have a hard time thinking I could use the current crop of "inference as a service" while they carry so many ethical issues.

Probably one of the most important talks of 39C3. It's a powerful call to action for the European Union to wake up and do the right thing to ensure digital sovereignty for itself and everyone else in the world. The time is definitely right due to the unexpected allies to be found along the way. It'd be a way to turn the currently bad geopolitical landscape into a bunch of positive opportunities.