There's always been disinformation in time of wars. The difference is the scale and speed of producing fake images now.

Nice trick to properly route from a public VPS with enough addresses to servers in your basement.

Nice idea and well executed I'd say. If you got doubts about something being FOSS, stopping there and checking is in order.

The hardware is there, the software not so much. Now I'd argue that the author overestimate the availability of said hardware in households.

This is indeed a metaphor which should be more common in enterprise software.

Good reminder that professional translators aren't gone... on the contrary. There's so many things in languages that you can't handle with a machine.

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.

Funny experiment. A bit incredible how many peers you can find this way.

Feels surprisingly accessible. Makes me want to play with meshstatic now.

This is a good look at the reasons behind throttling. If you accept a less naive model than "preventing abuse", you can build a better throttling strategy.

I felt that a bit the past couple of years when looking how the ecosystem evolved. The situation seems concerning to me.

A bit focused on web frontend, but that applies equally to other stacks. There are many reasons to make UIs accessible.

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.

This is definitely a paradox in community dynamics.

Interesting findings about procrastination. Some effects were expected, others less so. The actions to avoid it in teams should be well known now.

Interesting comparison of different definitions for software complexity (which is an ambiguous term to say the least). It leads to nice consequences when team dynamics are considered.

Wondering how to implement your own inference engine? Here is a nice simple blueprint to get started.

Interesting research. Down the line it could help better fine tune models and side step some of the attention system limitations. Of course it comes with its own downsides, more research is necessary.

This is in my opinion one of the most difficult tasks when rendering with the GPU. Texts are really hard to get right.

A very important tool to have around and know how to use. This is a neat introduction.