fnands

Delightfully cursed.

I wonder how consistent the breakdown voltages are between manufacturers? I mean, I am sure there is some spec, but is it not just a minimum in this case?

Not a lot of it is unsafe, I think they said 4%?

It's practically impossible to write safe Rust when you are calling external libs written in C/C++, like they do for the Javascript engine.

He never said impossible, just hard.

But how is this news? Memory safety bugs are one of (if not the) main source of bugs in C/C++ and also Zig, and Rust's main claim to fame is that it makes it easy to catch these issues at compile time. I feel his criticisms of Zig are fairly uncontroversial.

You can also take a Bildungsurlaub (educational leave, 5 days a year or 10 days every two years) and take a German course. For a two week course with private tutoring it's like 1k, which at your income level is not much. A lot of bureaucracy in Germany becomes a lot easier once you get over the B1 hump.

Good point. Will do so as well. I've been using it for about a year now on my NAS. I basically set it and forget it, and it has just worked.

What radar pipelines are you working on (out of pure curiosity here)

I'm pretty sure if he did that someone would complain that he is using people as free labour to increase his youtube revenues.

It's impossible to do anything on the internet without someone in the peanut gallery telling you you are doing something wrong.

That seems to be the way things are going.

Large general models have taken over in NLP, and (outside of embedded/low latency applications) it seems like they are coming for CV next.

So you should soon be able to have large generic model that can detect whatever for you.

It's already pretty much possible with open-vocabulary detectors like SAM3, where you could just prompt it with "Apple": https://ai.meta.com/research/sam3/

Fighting AI with AI?

What a wild future.

Visiting Tristan Da Cunha is on my bucket list. Just a shame it takes so long to get there, but maybe that's part of the appeal.

That jump video is wild. Can't see the island until the last few minutes.

The alerts system and sharing with caregivers is a solved problem already (e.g. Dexcom's Follow, Abbot's LibreLinkUp).

Do you find the analytics actually helps? I.e. a lot of this will depend on what you ate and whether or not you logged it?

Yeah, it seems that it is much easier to avoid enshittification when you are publicly held (and print money)

This is more aimed to warn pedestrians who wear ANC headphones. Should people be prohibited from wearing headphones while walking?

Eh, it's pragmatic.

It's replacing a problem you can't solve (human stupidity), with one you can (a better bell).

For a moment I thought this was an April fools joke product.

Pretty cool though!

Alright then: killjoy

Gérard Hommelibre?

Bonjour, and bienvenue to the Black Mesa - pardon, la Mesa Noire - Établissement de Recherche. Please keep your hands inside le tramway at all times, and do try not to provoquer une cascade de résonance. Merci.

They do some good tours. They are first come/first serve, so show up in the morning for the best chance to get a place.

Nice, I didn't get it.

I just realized "Kyouryuu" is Japanese for dinosaur.

And Pfirsich is of course Peach.

They got the intern to write a funny post. Probably took them an hour and it drums up a bit of good press for the Hi-Lumi LHC.

Money well spent if you ask me.

I always look forward to CERN's April fools jokes!

Could be as if you live in a city in Germany you don't necessarily need a car?

But I would be surprised if car seats are the main driver here in any case.

Related (OpenAI announcement): https://news.ycombinator.com/item?id=47438716

Woah, first Anthropic buys Bun, now OpenAI Astral?

Seems like the big AI players love buying up the good dev tooling companies.

I hope this means the Astral folks can keep doing what they are doing, because I absolutely love uv (ruff is pretty nice too).

counted my house as a tree

Even the more sophisticated algorithms pretty much always do this ;-)

You are probably not interested in taking this further, but you could give the Li tree filter a try: https://pdal.org/en/stable/stages/filters.litree.html

But getting perfect segmentation is basically impossible.

I gave a talk about the paper in our internal journal club recently (we work on similar problems, usually using stereo imagery though).

It's a nice piece of work. I especially like the sections on data cleaning and registration, as that seemed to have been one of the limiting factors of the previous approaches.

I am sceptical about how accurately you can predict heights for specific trees from mono-images, but I think for cases where you just need to be right on average (e.g. biomass estimation, fuel load estimates) it's a great approach.

You could look it up in the metadata file:

We additionally release a global GeoTIFF of input image acquisition date, where pixel values encode year minus 2000 (e.g., 18.25 indicates April 2018)

That being said, I am sceptical on how accurate mono-depth models can be on a single tree basis. I would probably trust them to do large scale biomass estimates, but probably not single tree height assessments.

It's from FAIR, i.e. their fundamental research arm.

Maybe there are some ulterior motives, but they do also just do a little bit of "feel-good" research.

This was also in collaboration with the World Resources Institute and the University of Maryland, so it's not a 100% facebook project.

The USGS Lidar data is a treasure trove, I use it a lot at work.

What did you do to actually count trees? Even from aerial Lidar it can be a bit finicky for closed canopies.