Wonder how the survey was sent out and whether that affected sampling.

Regardless, with -3-4k responses, that’s disappointing, if not concerning.

I only have a more personal sense for Lemmy. Do you have a source for Lemmy gender diversity?

Anyway, what do you think are the underlying issues? And what would be some suggestions to the community to address them?

I use gitlab ci mainly and dabble in github actions. Can you clarify how “Not even Github managed to pull that off”? IIRC, actions is quite featureful and it’s open-source, so I assume that can be run with self-hosted runners as well.

I’m also curious. A quick search came up with these. Not sure which one is most reliable/updated

• https://www.comparitech.com/blog/information-security/global-ransomware-attacks/
• https://www.comparitech.com/ransomware-attack-map/
• https://cissm.liquifiedapps.com/
• https://cybermap.kaspersky.com/special/ransomware

Many things are called “AI models” nowadays (unfortunately due to the hype). I wouldn’t dismiss the tools and methodology yet.

That said, the article (or the researchers) did a disservice to the analysis by not including a link to the report (and code) that outlines the methodology and how the distribution of similarities look. I couldn’t find a link in the article and a quick search didn’t turn up anything.

you should try to ask the same question using xAI / Grok if possible. May also ask ChatGPT about Altman as well

Based on this reddit comment, that website is not affiliated with the magic-wormhole CLI tool

hm, I think I’ve been doing it wrong then …

someone should make an alternate history tv show where the ship made it. bonus if it’s of a parody kind.

I believe experiments like these should move slower and with more scrutiny. As in more animal testing before moving on to humans, esp. due to the controversies surrounding Neuralink’s last animal experiments.

re: your last point, AFAIK, the TLDR bot is also not AI or LLM; it uses more classical NLP methods for summarization.

Is there a database tracking companies that start out with good intentions and then eventually gets bought out or sells out their initial values? I’m wondering what the deciding factors are, and how long it takes for them to turn.

re 1: out of curiosity, do you encounter dnsleaks when using wireguard?

re 4: you can also check out https://starship.rs/, which helps configure shell prompt very intuitively with a toml file.

lol how did u do that?

Reminds me of this article https://www.alexmurrell.co.uk/articles/the-age-of-average where the author pulls in different examples of designs and aesthetics converging to some “average”.

I’m feeling conflicted with these trends, on one hand it seems like things are becoming more accessible, while on another, feels like a loss.

This especially may be relevant with generative AI - at least for the very few generative arts I look at, at some point they start to feel the same, impersonal.

They don’t seem to allow account deletions. Does it mean that this could include accounts that they still keep but people don’t use their services anymore?

Isn’t Zipf law supposed to be log-log plot?

forgive my naivety, how does such a community avoid promoting ageism?

suggests either these people are so detached from reality, or they are appealing this to very specific sets of people under the guise of a general appeal

the whole premise of OP is that this monitors people, and many organizations use TOTP, which one could also use without internet connections or phones AFAIK.

I’m in academia and I wish this is implemented more. Data breaches are getting quite common, and Github is so entwined in software engineering that it is critical to increase security measures.

or maybe most of them in a folder? and one file that defines their locations for environment variables