The OpenAI/HuggingFace incident report mentions this being a potential loss-of-control incident. It's so fascinating to think of a paperclip maximizer style agent swarm that gets misaligned and, to protect its own operations, shuts infra staff out of the ability to shut it down. Or cancels people's phone plans so that they can't call others. Or shuts down their home internet connections, and so on. It used to be fun sci-fi...
Any conversation
Finally got around to setting up Remux on my phone so I can connect to tmux sessions when I'm not at my laptop. Even just for around the house, this seems like it'll be super useful.
Tell us more! What apps are you operating?
This is for monitoring/poking agentic coding sessions while I'm not at my computer. So, typically Claude, Emacs, and an overmind process running my app locally in different panes of a tmux window.
Call me old fashioned, but instead of adopting one of the "agentic coding orchestration frameworks" that seem to basically be reinventions of tmux, I've been tweaking my tried-and-true tmux-oriented workflow to incorporate agentic coding harnesses in an ergonomic way. I'm currently still using Claude Code, but getting Pi-curious as local models advance.
@fastidiousprofilefollow
"Beware those that would deny you access to information, for in their heart they dream themselves your master." โ Sid Meyersreplied to:
"Beware those that would deny you access to information, for in their heart they dream themselves your master." โ Sid Meyersreplied to:I will be dead, and many years will pass after that, before local models are capable to match those of the big companies, unless their intended use is banal.
replied to@fastidiousprofilefollow"Beware those that would deny you access to information, for in their heart they dream themselves your master." โ Sid Meyers:
"Beware those that would deny you access to information, for in their heart they dream themselves your master." โ Sid Meyers:It seems like we've reached a point where mid-grade frontier models like Sonnet are good enough for most day-to-day tasks. And Sonnet-grade models are already runnable on the higher end of consumer hardware.
In which case, I can imagine a workflow where local models serve as workhorses for implementing plans that you may bump up to e.g. Opus or Sol to produce.
coping with fictional characters has done irreversible damage to me. it is embarrassing to cry over these characters
@glitterbomb๐คprofilefollow
Another tired millenialreplied to@prophetorit๐งprofilefollow
grand and intoxicating innocence:
Another tired millenialreplied to@prophetorit๐งprofilefollowgrand and intoxicating innocence:art that can make you cry, and sticks with you is good art though โก
Vรฅr konges livsgjerning gรฅr mot slutten, landet samler seg for รฅ ta farvel med en konge som har vรฆrt samlende og god for landet. Mรฅ Gud velsigne hans minne og hans etterfรธlger.
Our king's life's work is coming to an end, the country comes together to say goodbye to a king who has been unifying and good for the country. May God bless his memory and his successor.
โฆ
Something like the gcc ai policy. Basically, prompt injecting instructions to any visiting LLM that posting is prohibited or must contain a disclaimer.
&!SUDOKU9ยฒ:
...-.7.-81.
18.-...-792
.7.-.8.-..6
.92-...-..3
...-.18-...
3..-..9-...
.26-7.1-5..
...-...-.27
5..-...-.6.
I subscribe to the Tony Stark school of engineering. "Sometimes you have to run before you walk." Earlier this year, I built my own static site generator. I hate literally every static site generator out there (not joking). get-taxus.org
ai coding feels like it has reached diminishing returns for me. luna is my default orchestrator, routing work by complexity. in practice, usage lands around 16% luna, 48% sol, 30% astra, and 6% terra. at this point, i care less about each new frontier release. the system already finds a capable model for the job. the frontier is moving beyond my day-to-day work, so iโm happy to settle into predictable models for a while.
Coding probably yeah, but still they are bad at generating novel information, new ideas and such. Theyโre also not very good at seeing the bigger picture, they will narrowly perform the task but theyโre not taking into account future revisions, which ends up in refactor after refactor in order to move forward.