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my favorite thing to do with tmux is using a sessionizer script[0] (credit for the idea/original implementation goes to ThePrimeagen). allows for fzf-ing my projects and creating a separate session for each one. especially handy for bouncing around when working on features/fixes that span multiple repos

for (neo)vim users, flattening vim splits and tmux panes into the same level for switching with ctrl+hjkl is handy too

[0](https://github.com/tolly-xyz/dotfiles/blob/main/.local%2Fbin...)

this goes a bit further than the typical "how do you make meth" jailbreak. notably;

915 files extracted from the Claude.ai code execution sandbox in a single 20-minute mobile session via standard artifact download — including /etc/hosts with hardcoded Anthropic production IPs, JWT tokens from /proc/1/environ, and full gVisor fingerprint

Ant Mill 4 months ago

this is what claude is doing when he gets stuck in a "you're absolutely right!" loop

i've been thinking about this a lot the past few days, particularly about how coding agents can _help_ with understanding

i've been using opencode/opus to help with debugging lately, and it (he?) will happily dive into the source code of a dependency, the dependency's dependencies, and the C code that its binding to, all the way down to reading the libusb driver code and explaining what is going on where

whether or not i could have figured that all out on my own is beside the point; i wouldn't have take the time on a tight deadline to dig in deep. i would have done some poking and experiments and shipped a hacky workaround

does anyone have a link to the full news segment? it's not clear to me from the clip in the link that he's talking about Palantir; he makes multiple references to "this technology" without ever clarifying what "this" is.

sounds to me like he's talking more about AI disruption at large

Briar offers a companion ”mailbox” app for the exact reason you describe (i assume)

where did you read that it hosts an onion service? i guessed that's how it worked but couldn't find anything in their docs that said so.

youre missing the forest for the trees. the library this demo is using for audio encoding (ggwave) was not made by the creators of this demo. speed (or lack thereof) aside, having a direct audio<->text encoding is much more computationally efficient than speech<->text generation.

on the subject of the encoding efficiency, the ggwave depo mentions the use of reed-solomon error correction to make transmission more reliable. im struggling to find any info on error correction used by bell 103 or other modems, but if they aren't as robust that could partially explain the discrepancy you're describing

wow, i also started using linux about 5 years ago due to frustrations with getting python to work on windows

sure, the windows installer is easy enough to get set up, but pretty quickly i started noticing a pattern in most documentation/tutorials.

Linux: one-line setup command

Windows: nothing, or a complicated, multi-step process (that rarely works without hiccups)

wasting my time going down rabbit holes debugging my environment was not as fun as actually writing code