Anubis is slop

...

Up is down, left is right, good is bad, cats are dogs, what the flip are we even doing anymore?????

🤦‍♂️

#slop #NoAI #AInt

anubis/AGENTS.md at main · TecharoHQ/anubis

Weighs the soul of incoming HTTP requests to stop AI crawlers - TecharoHQ/anubis

GitHub
Currently compiling vim-classic-v8.3.0... #NoSlop #NoAI #AInt#microblogging #MicroToot: 61 characters

Some graphs  from #Munin with LLM-bots attacking my kitchen server.
Graphs spans to the whole week, so on the left there is a normal state of my server. And on the right — attack is happening.

UPD: It wasn't LLM bots, it was a real attack — attempt to hack my Asterisk: https://mastodon.bsd.cafe/@evgandr/116721410691985788

#NetBSD #LLM #AInt #selfhosting

Then, I logged into my box and found that fail2ban, Asterisk and PostgreSQL aren't feeling well. The system load and the traffic amounts was unusual — the parameters are completely differs from which I used to see since server installation.

I checked fail2ban logs and found that it is still parses the data from Asterisk log which were happen at near 5 hours ago  And there were total mess in the Asterisk security.log (see screenshot) — some dumb (as it programmers  ) LLM-bots were constantly trying to connect to my Asterisk server with HTTP protocol, evaluating it as a web-server, I dunno  

And the Asterisk logs became enormously big — while newsyslogd wasn't invoked — they eat at near 4 GB  . I didn't specify the maximal size of Asterisk logfiles in the /etc/newsyslog.conf, because I wasn't expected a lot of lines in the PBX logs, which is in use only for my relatives.

UPD: It wasn't LLM bots, it was a real attack — attempt to hack my Asterisk: https://mastodon.bsd.cafe/@evgandr/116721410691985788

#Asterisk #selfhosting #AInt #LLM

Huh, looks like the new ASes, with LLM-bots attacking servers, just dropped  

TLDR: there are AS12876 and AS16276 — both located in France (Scaleway SAS and OVH SAS). My Asterisk self-hosted box was attacked from the next IPs: 62.4.15.81 and 51.222.38.229.

Today, after I was checked my e-mail, I found three warnings from Monit about fail2ban exhausting limits in my small server in the kitchen (Intel Atom N2800 1866 MHz and 4 Gb of RAM). First e-mail warns about fail2ban ate 200 MB of RAM, next about 500 MB of RAM and the last e-mail warns me that fail2ban ate 2 GB of RAM 

UPD: It wasn't LLM bots, it was a real attack — attempt to hack my Asterisk: https://mastodon.bsd.cafe/@evgandr/116721410691985788

#AInt #LLM #selfhosting #bots

RE: https://mstdn.social/@Shadedlady/116681510839734645

The prettiest picture in the Internet RN 
Looks like the era of: "oh no, some ignorant, incapable to think and write some lines of code moron, unable to understand the concepts of professional dignity and programming with care, contributed some shit to the well working for decade(s) open-source program and now it contains LLM slop" — is sunsetting right now   

#AInt #slopware

"In a recent essay, Derek Thompson engages with AI as Normal Technology (AINT). He agrees with our thesis about AI’s slow labor market impacts, relying on the fact that GDP growth has so far been average, unemployment is below five percent, and even jobs that seemed vulnerable to automation show rising employment and wages. He concludes that so far, the macroeconomic picture is consistent with what we would expect from a “normal” general-purpose technology.

But when it comes to AI risks, he is far more bearish. He points to examples of cyber- and bio-risks and expresses pessimism about AI quickly becoming dangerous across many new domains. (...) Thompson writes: "I can understand a plan to treat AI as a ‘normal’ technology and let Nvidia export powerful chips to China. And I can understand a plan to treat AI as an ‘abnormal’ technology that compels the government to create extraordinary regulations that prevent private companies from selling their products and services on the grounds that they’re too dangerous" [emphasis ours]. He goes on to conclude that AI is, in fact, abnormal, implying support for extraordinary government intervention. Our essay is a response to that conclusion.

In this essay, we lay out the downsides of extraordinary government intervention in response to new technology. We discuss proposals for improving resilience that do not require such intervention. We also discuss why governments have so far been reluctant to invest in resilience. In short, resilience requires us to get better at the *normal* process of policymaking. But sclerosis in the federal government and the ease of justifying interventions on AI companies rather than society at large make extraordinary intervention seem appealing, despite its limitations."

https://knightcolumbia.org/blog/do-ai-risks-require-extraordinary-government-intervention

#AI #AISafety #AINT #NormalTechnology #AIRisk #AIRegulation

Do AI Risks Require Extraordinary Government Intervention?

Knight First Amendment Institute

My 8.4 MiB website generated 7.74 GiB of traffic last month.

Flipping scrapers, man. :(

Here's what access_log looks like on another site I manage (I forgot to turn on the access_log on my blog until a few days ago, derp!) --

$ cut -f2 -d'[' access_log |cut -f1 -d: |cut -f3 -d/ |uniq -c 756 2018 10161 2019 26136 2020 13109 2021 16337 2022 22359 2023 66684 2024 226341 2025 166441 2026

(2026 projection is) --

echo "scale=0; 166441*(365/$(date +%j))" |bc -l 332882

#AInt

Athena (@[email protected])

tell me you’re a coward without telling me > No comment on this PR may mention the following topics: > Long-term social or economic impact of LLMs > The environmental impact of LLMs > Anything to do with the copyright status of LLM output Moral judgements about people who use LLMs > We have asked the moderation team to help us enforce these rules. https://github.com/rust-lang/rust-forge/pull/1040

Chaosfem