anygivnthursday

> I'm still surprised people use CrowdStrike

I mean, LastPass is still in business...

You can automatically renew through DNS challenge?

Is it silent, though? I got notifactions about it on my devices, then emails on each account. Then I went straight to delete the added numbers and disabled this "feature". It did not leave a good taste that I had to do this after the fact, I would have appreciated a notice with a chance to opt out first, because they may have already permanently stored those numbers in some internal history (I just asked Dropbox for my data and they listed every single email I've ever used on that account too). But, to be honest, I am not surprised, and I already consider all devices and numbers that ever come into contact with a Google account being permanently on record on some Google server.

There was also an older post, I cant find it rn, about how LLMs mimick human biases when picking numbers and how they avoid some that do not look random enough to humans, or others like 69 due to human interpretation.

This reminds me my early attempts to use GitHub Copilot when it just straight added some guy's name in a javadoc copyright note in the code it generated.

I think there may be a different word than "hacker" for liberating information to repackage and resell through a big corp while contributing to make other sources less sustainable.

Right, I missed that context that this was about your own app still in getting the idea right/prototype phase. I was talking more in general and would be quite concerned if with today's LLMs it was my bank/government backend system, handling my financials and personal data, written without no one ever looking at the code.

> Security-wise, I think the latest cyber models are better than me anyway at finding vulnerabilitates and pentesting such features.

I don't doubt that, but they are equally good in making mistakes, over-engineering, or adding things you never asked for. They have all sorts of patterns in their training data from excellent to inadequate and I find them challenging to guide them consistently in one direction. Also with questions and tests, they can add something extra you didnt need and you dont know about, so your scrutinizing questions and test cases could miss that.

At least for myself, I didnt find them reliable enough yet to do what you describe and just not look at the code at all.

Where I find LLMs most useful is maybe not even writing code (though helps with boilerplate and test cases, mechanical refactoring, translation from one form into another, rebases and conflicts), but debugging weird production issues, where I have to pull data from multiple places (with often horrible UX) and correlate the data and logs and code. Just need to be careful to follow its reasoning as it can easily go down the wrong route if it misses some important part of the contex, but an SME in the area spots that and directs the agent accordingly. This cut down time for investigations quite a bit.

But you still have to review that 2FA code and that involves thinking through the implementation, right?

For a home network network pihole or unbound also supports blocklists (bundled with opnsense for example if you also want a firewall). For Android, I use Rethink with Hagezi blocklists, so they block also when I am on mobile data (it is vpn based).

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