planckscnst

I've lived in Seattle for 12 years and have never seen a slug here let alone a large one. I have seen those sidewalk worms after the rain, though

What made it not useful to you likely makes it much more useful for me.

Fortunately, LLMs can work wonders in adapting content to be more accessible to a wide variety of audiences. Just give it a link and feed your exact post to it. It will be able to translate it into pseudocode and provide examples.

And you can also rant about it so other people are not harmed in the same way without warning

Is that because every country fails to adequately charge oil/coal/etc for its externalities? Are we essentially subsidizing oil, bringing the costs artificially low such that nuclear can't compete?

"genuine" is another one in the same vein

Yes, I used it to do a big push of my self-maintaining project All I need next is to push it through enough cycles to trust it (I have high confidence based on results so far) and then I can just setup a cron to do routine maintenance on my project

For people wondering, in some locations, sore and saw are homophones.

I have the $100 plan on OpenCode Zen, which I imagine is similar. I burn through it ridiculously fast. I haven't run the numbers, but it felt about the same as an Anthropic $20 plan

LLMs are already of sufficient capability that if they were super cheap and fast and made no progress on intelligence, we will still make huge leaps in our ability to build systems and solve problems.

I'm just happy there is capital behind the efficiency path because I am confident we can get positive value on that path.

Do you not have many many separate projects happening in parallel because it takes forever for the model to respond, so you give it your feedback and jump to the next one? That context switch is challenging and expensive. Imagine if your feedback was nearly instantly applied and you could just see the result? It would be more like the holodeck metal table scene in Star Trek "Schisms".

$100/month * 12 months is 1200/year. Yeah, normal working people even in the USA don't have that extra money to spend. And let's be realistic: anyone doing the "greenhouse" method probably has both Anthropic and OpenAI $200/month subscriptions, otherwise, this is going to use up your tokens pretty fast. So $4800/year to have this as a normal practice that you do.

The median household income in the US is $64000/year.

It depends on what you mean by "unsupervised" - I've been strictly working through the agent, through specs the entire time, but it's been very supervised, I just leave the mistakes in-place and have it work from there.

However at this point it can completely maintain itself. When a new version of Claude or OpenCode is released, it updates itself to work on the latest version. It can also add new implementations for harnesses pretty reliably. It's actually pretty fun to watch it at this point. "Make this work on Hermes agent and message me when you're done" and an hour later or so, I can go play with it in Hermes.