I've written a small persistent agent wrapper for agent.py. I'm impressed with how well it works. I feel like a CEO issuing global memos to all my agents after reading their status reports.
Any conversation
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Something like the gcc ai policy. Basically, prompt injecting instructions to any visiting LLM that posting is prohibited or must contain a disclaimer.
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.
Whatโs your favorite ? Mine is banana for snack, blueberries for my yogurt bowl, and mango when Iโm feeling rather indulgent.
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i dont think its all talk, these are smart people that have been in ai since the 2000s, and they raise good points. current incentive structures are very dangerous long term
they too have every incentive to exaggerate because they are selling safety and/or books on the topic. I donโt believe we wonโt see it coming. Any issues that will manifest will be very visible and weโll have plenty of time to mitigate their impact.
they could be making a lot more money by just working at ai firms i fear. the thing that got me worried the hacking incidents lately, huggingface etc.
if the capabilities consistently outspeed the development of safety measures, and if the private arms race logic continues, i dont think this is a good spot to be in long term
Today I wanted to share some Music from my youth :)
www.youtube.com/watch?v=8Hn-pNxtByM
I read
Still trying to figure out the boundaries of these tools' strengths without outsourcing important thinking, problem-solving, and the collective building-up of a mental model of the systems we're developing.
The shape of LLM tools as toolsโfit for a purpose, ergonomicโis becoming clearer, and human patterns of behavior with them that do more harm than good are also becoming easier to recognize.
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what?