So we are at a point with bird.makeup where I'm sending to many requests to Twitter and I'm triggering some rates limits. The plan is to figure out Wireguard, than I'll split request half and half from the server to my home using a rasberry pie. Sounds fun!
(but expect relaying delays while I set that up)
It's amusing to me that star trek imagined a world where an AI faces social rejection because he's rational, fact based, literal, fiercely/dogmatically moral, and struggles with social nuance. But here in reality we invented AIs that have no concept of truth, give zero fucks about accuracy, have no rationality, and can't do math, but match vibes and tone nearly perfectly.
The first artificial person will not be an autistic science officer. It'll be an extremely allistic salesbro or politician.
I guess the spare Raspberry Pi 4B that I have will come to the rescue and offload some work!
On a more technical note, I find it interesting that since #dotnet is so efficient with JSON (processing JSON is most of the work that has to be done to run a service like this), more than half the CPU time is actually used by the kernel networking stack handling a few hundreds requests per second (both inbound and outbound)!
Please consider supporting if you haven't already: https://www.patreon.com/birddotmakeup
And thanks to all that already do! It helps a lot
The SEC going after Justin Sun and TRX for market manipulation is just *chef kiss*. https://www.sec.gov/news/press-release/2023-59
Researchers monitoring the Twitter bot space noted, correctly, that TRON-themed bots were unbelievably, unimaginably prolific from 2018 onwards. We spent a massive amount of time building detections to shut it down — and it would just keep coming back. Major portions of all spam globally on Twitter, for months at a time, was just dedicated to hyping Sun and TRX.
#Valve Officially Announces #CounterStrike2
Introducing #MozillaAI: A startup — and a community — building a trustworthy, independent, and #OpenSource AI ecosystem.
https://blog.mozilla.org/en/mozilla/introducing-mozilla-ai-investing-in-trustworthy-ai/
Any experienced programmer worth their salt will tell you that •producing• code — learning syntax, finding examples, combining them, adding behaviors, adding complexity — is the •easy• part of programming.
The hard part: “How can it break? How will it surprise us? How will it change? Does it •really• accomplish our goal? What •is• our goal? Are we all even imagining the same goal? Do we understand each other? Will the next person to work on this understand it? Should we even build this?”
Open source developer. Wikidata, IPFS, Linux, Ethereum. /r/fuckcars enthusiast. I tend to boost funny stuff.