Research from a few years ago was able to measure gait (so a person’s height and build etc) from the wifi shadow of a single router.

I assume 3 is to get the super accurate placement.

They’re both “immutable” in the sense that they’re setting up either read-only Filesystem Hierarchies (as in bazzite, which uses ostree) or Symlinking their entire filesystem hierarchy to a read-only “store” (as in nixos).

Bazzite uses something called ostree to “diff” the filesystem hierarchy much like git does, while Nix basically makes giant read-only store of files and hashes them, then weaves them all together into a “view” of a filesystem that gets symlinked into the context of a running program.

I imagine it’s a continuation of the isolation that social media causes.

edit: looked into this a little more and found This medium article. saying there wasn’t much change in the rate of sex weekly for adults in the 90s, and not until the early 2000s when OECD countries started seeing a reduction.

Not sure what to trust but Family Studies is a conservative think-tank so I don’t necessarily trust their data either.

These only work with ARM cpus I think

If you’re putting in that much work, please submit those edits to musicbrainz! We need all the help we can get 😭

On a more positive note the newest IPCC report on climate has population decline being the biggest positive impact on climate change, so keep at it!

As a musicbrainz editor, don’t depend entirely on Picard and musicbrainz for correct tagging either cause shit isn’t as well curated as you think.

They’re also starting to charge more for the BIG ASS models.

The amount of times these things have to regenerate code to get it to work properly during the SOTA “agentic” operations, you can burn through your token allotment and get throttled super quickly.

The secret is a lot of beans actually taste great sweetened.

(Ex: There’s a food called zunda which is crushed and sweetened edamame)

I don’t think that’s accurate because they asked Dlsite before them to restrict their content based on American Law. They tried to remove access to content from outside Japan that Visa was complaining about and Visa still told them to remove the content (I guess cause people were using VPNs) so they had to remove the ability to pay with visa and Mastercard entirely.

“Unlawful” based on what? American law?

These are global payment companies, they can’t just have a “we don’t allow payment for illegal content” cause that varies by country (and by state even).

What an absolutely nothing statement.

Prove you’re literate by solving lateral thinking word puzzles.

For the people who are dunking on this by saying that historically things have been fucked up:

I think the point of the tweet is that systemic development doesn’t stop at capitalism.

I’m pretty sure lots of educated people during the feudal era were saying that it was the best system available and at least they were dying less often than the Romans.

This is kind of misleading, China and Japan are kind of competing to see who can launch the new generation of 600km/hr maglev trains. Both have test tracks, both have clocked at 600km/hr, both have the actual lines under construction (Shanghai to Beijing, Tokyo to Nagoya).

Neither will likely run at 600km/hr, that’s mostly just dick waving.

Construction in Japan has slowed to a crawl and probably won’t be done until 2027 at least, and the Chinese CRRC is supposed to start this year but I don’t think they have any official service start dates.

Is this just hosted nextcloud with collabora office pre installed?

I have also been done in many times by git-filter-repo. My condolences to the chef.

“sorry you haven’t paid your monthly driver’s permit fee” Car drops out of the sky

There’s a lot of assumptions about the reliability of the LLMs to get better over time laced into that…

But so far they have gotten steadily better, so I suppose there’s enough fuel for optimists to extrapolate that out into a positive outlook.

I’m very pessimistic about these technologies and I feel like we’re at the top of the sigma curve for “improvements,” so I don’t see LLM tools getting substantially better than this at analyzing code.

If that’s the case I don’t feel like having hundreds and hundreds of false security reports creates the mental arena that allows for researchers to actually spot the non-false report among all the slop.

It found it 8/100 times when the researcher gave it only the code paths he already knew contained the exploit. Essentially the garden path.

The test with the actual full suite of commands passed in the context only found it 1/100 times and we didn’t get any info on the number of false positives they had to wade through to find it.

This is also assuming you can automatically and reliably filter out false negatives.

He even says the ratio is too high in the blog post:

That is quite cool as it means that had I used o3 to find and fix the original vulnerability I would have, in theory, done a better job than without it. I say ‘in theory’ because right now the false positive to true positive ratio is probably too high to definitely say I would have gone through each report from o3 with the diligence required to spot its solution.

I’m not sure if the Gutenberg Press had only produced one readable copy for every 100 printed it would have been the literary revolution that it was.