6,717 karma · joined January 22, 2010
At least 225 judges have ruled in more than 700 cases that the administration's mandatory immigration detention policy likely violates the right to due process[1] The Fifth Amendment's Due Process Clause generally requires those having federal funds cut off to receive notice and an opportunity for a hearing, which was not provided in many of DOGE's spending freezes[2]
(there's more but what's the point)1. https://www.justsecurity.org/107087/tracker-litigation-legal...
2. https://www.cbpp.org/research/federal-budget/many-trump-admi...
I was thinking that tokens spent in such case could also be an interesting measure, but some agent can do small useful refactoring. Although prompt could specify to do the minimal change required to achieve the goal.
> We’ve rewritten Claude Code’s terminal rendering system to reduce flickering by roughly 85%.
tells you all you need to know
and I keep running it remotely through tmux, that explains so many things
edit: if they are writing it in react anyway (sic!) maybe we could at least get a web interface, skipping mapping it to terminal output part ..
In general CLI could be more reliable and responsive though, it's a text based env yet sometimes feel like running windows 95 on 386dx
It seems clear from the insights that some model is marking failure cases when things went wrong and likely reporting home, so that should be extremely valuable to Anthropic
It's just that everybody is using 100 tools and dependencies which themselves depend on 50 others to be working.
your CPU, your OS, CPU and firmware on your motherboard chips, ethernet, wifi, HDDs (btw did you know your sim card has JVM?), your browser, all your networking equipment in between, BGP and all the root certs and I'm just scratching the surface
the ballpark is on anther planet
confidence in firing coders I presume..
Although I'm afraid big part of these LLM contributions may be people trying to build their portfolio. Some known project contributor sounds better than having some LLM generated code under your name.
In general LLMs for some reason are really bad at designing prompts for themselves. I tested it heavily on some data where there was a clear optimization function and ability to evaluate the results, and I easily beat opus every time with my chaotic full of typos prompts vs its methodological ones when it is writing instructions for itself or for other LLMs.
Just to be clear, it may sound like a snarky comment but I'm really curious from you or others how do you see it. I mean there are some batches long running tasks where ignoring electricity it's kind of free but usually local generation is slower (and worse quality) and we all kind of want some stuff to get done.
Or is it not about the cost at all, just about not pushing your data into the clouds.
And models I work with (claude,gemini etc) have the temperature parameter when you are using API.