434 karma · joined June 7, 2025
if you want to save some $$$ you can spend like 30 minutes making a cracker like in the article. just make it multi threaded, add a queue and boom, your scraper nodes can go back to their cheap configuration. or since these are AI orgs we're talking about, write a gpu cracker and laugh as it solves challenges far faster than any user could.
custom solutions aren't worth it for individual sites, but with how widespread anubis is it's become worth it.
This objection is actually anthropomorphizing the LLM. There is nothing wrong with writing books where a character experiences distress, most great stories have some of that. Why is e.g. using an LLM to help write the part of the character experiencing distress "extremely distasteful and frankly alarming"?
Are we now pretending that LLMs have feelings?
FROM caddy:2-builder AS builder
RUN xcaddy build \
--with github.com/caddy-dns/cloudflare \
--with github.com/greenpau/caddy-security
FROM caddy:2
COPY --from=builder /usr/bin/caddy /usr/bin/caddy
COPY Caddyfile /etc/caddy/Caddyfile
Then just build & run it via docker composeAnd that for every .net project I can remember, which are far more rare, there's been some complicated installer that does a bunch of stuff. Or it fails to launch telling me I need to install some runtime separately.