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"OpenCode Go" (a subscription) lets you use lots of hosted open-weights frontier AI models, such as GLM-5 (currently right up there in the frontier model leaderboards) for $10 per month.

GLM is benchmaxxed, leaderboards don't mean much anymore

Also most of the development experience is in the harness, the models aren’t as important anymore

And no doubt on next week's episode of everyone's favorite podcast-within-a-podcast...


I've used it to create little one-off tools that I needed for some specific tasks, without any care whether it's "of substance" or "investable." In the past, I might have Googled around to see if there was an existing app or open-source package to do the job. Quite often, the AI agent will use some existing software packages, but I didn't have to find them and figure out how to use them.

A real example from today: I got tired of the Looney Tunes way-too-colourful screensaver options on my Mac mini, so I asked Claude how to get a screensaver that is a nearly-black uniform monochrome grey. Surprisingly, that's not actually an option in macOS System Settings. So Claude just wrote a little Python script to generate the images I need for my two displays, saving them to the right place on my Mac mini. It used the Pillow package, but I didn't have to spin up a whole Python project and install Pillow; it just used PEP 723 inline script metadata to tell uv to use Python >=3.12 and to install Pillow. Then Claude gave me the uv one-liner to run the script (uv run ~/make_screensaver.py) and instructions for how to tell my Mac mini to use the generated files. The whole process took about 15 minutes from when I started writing the first prompt to the time I had my new screensaver working.


The plaid trim on the official uniform definitely gives it a Scottish aesthetic.


For me in Canada today, Kagi is showing nanoclaw.wrongtld as the third text link, after two different GitHub repos (why two? I didn't have time to sort that out). I clicked the thing to block the link to the site with the wrong TLD; hopefully other Kagi subscribers will do the same.


Wow, very cool video... and from 2015!


You wouldn't use an LLM to solve a big Linear Programming problem, because it would cost way more than using the Simplex Method, and you'd be worried that it might be wrong.


Is it named Coolwulf? The home page doesn't say its name anywhere.


coolwulf ai


Apparently the formal specification of OpenNHP was submitted as an IETF Internet-Draft in January:

https://datatracker.ietf.org/doc/draft-opennhp-saag-nhp/


The number of snacks in the basket is a random variable with a Poisson distribution.


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