it’s impressive! How does your infrastructure looks like? Is it 100% on prem?
I like basil. At some point I i got tired of killing all the plants and started learning how to properly grow and care greens with basil.
It has plenty of uses and it requires the right amount of care, not too simple not too complex.
I’ve grown it from seeds, cuttings, in pots, outside and in hydroponics.
Maybe it’s enough to make a pull request to the original CSS files here? I would guess the Lemmy devs would rather focus more on the backend right now
great! Have you consider packing this up as a full theme for Lemmy?
nice instance!
I found it interesting because starting from NVD, CVSS etc we have a whole industry (Snyk, etc) that is taking vuln data, mostly refuse to contextualize it and just wrap it in a nice interface for customers to act on.
The lack of deep context shines when you have vulnerability data for os packages, which might have a different impact if your workloads are containerized or not. Nobody seems to really care that much, they sell a wet blanket and we are happy to buy for the convenience.
is that so? what’s the reason?
ahah thank you, we shall all yell together then
This stuff is fascinating to think about.
What if prompt injection is not really solvable? I still see jailbreaks for chatgpt4 from time to time.
Let’s say we can’t validate and sanitize user input to the LLM, so that also the LLM output is considered untrusted.
In that case security could only sit in front of the connected APIs the LLM is allowed to orchestrate. Would that even scale? How? It feels we will have to reduce the nondeterministic nature of LLM outputs to a deterministic set of allowed possible inputs to the APIs… which is a castration of the whole AI vision?
I am also curious to understand what is the state of the art in protecting from prompt injection, do you have any pointers?
to post within a community
(let me edit the post so it’s clear)
👋 infra sec blue team lead for a large tech company
nice! I didn’t know this plant. I’ll try to find some.