Stubsack: weekly thread for sneers not worth an entire post, week ending Sunday 28 July 2024
Stubsack: weekly thread for sneers not worth an entire post, week ending Sunday 28 July 2024
Need to let loose a primal scream without collecting footnotes first? Have a sneer percolating in your system but not enough time/energy to make a whole post about it? Go forth and be mid: Welcome to the Stubsack, your first port of call for learning fresh Awful you’ll near-instantly regret.
Any awful.systems sub may be subsneered in this subthread, techtakes or no.
If your sneer seems higher quality than you thought, feel free to cut’n’paste it into its own post — there’s no quota for posting and the bar really isn’t that high.
The post Xitter web has spawned soo many “esoteric” right wing freaks, but there’s no appropriate sneer-space for them. I’m talking redscare-ish, reality challenged “culture critics” who write about everything but understand nothing. I’m talking about reply-guys who make the same 6 tweets about the same 3 subjects. They’re inescapable at this point, yet I don’t see them mocked (as much as they should be)
Like, there was one dude a while back who insisted that women couldn’t be surgeons because they didn’t believe in the moon or in stars? I think each and every one of these guys is uniquely fucked up and if I can’t escape them, I would love to sneer at them.
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No idea how true it is but apparently crowdstrike fired some of their QA and replaced it with AI, anybody heard about this? (source bsky) (Also 'AI' is doing a lot of work here, that could be anything)
I am attempting to track down this precise story.
- They are gung ho on AI
- They laid off a pile of their QA
- They have a "virtual security analyst" which is an LLM
iirc Crowdstrike does use regular ML for security, or at least a lot of security companies, I think they might have talked about it on the risky business podcast, so you might want to look at their (many iirc) crowdstrike sponsored parts. No episode directly springs to mind however.
This can also be an area where ML is an appropriate and useful tool. You'll see it used to establish a statistical baseline for what traffic should look like and then it can flag when it detects something that doesn't match that as suspicious and worth further investigation. In this space there is actually a lot of value in some of the statistical modeling techniques, though generative AI is obviously a very different and less useful beast.
Yes indeed. Which is iirc what people talked about re ML before the current hype cycle started.