> Learn at least a half dozen programming languages. Include one language that emphasizes class abstractions (like Java or C++), one that emphasizes functional abstraction (like Lisp or ML or Haskell), one that supports syntactic abstraction (like Lisp), one that supports declarative specifications (like Prolog or C++ templates), and one that emphasizes parallelism (like Clojure or Go).

Thanks, clearly my caffeine intake is at issue

It did for me, even without an account. Is that because I don't have an account and I'm accessing some weak model with little guardrails?

I think I missed the joke here. Can you please elaborate?

I think it’s from parks and recs. but the quote was “we have the best patients in the world. Because of jail. “

Search “parks and recs straight to jail”

Thanks.

It’s a “Parks and Recreations” reference.

Been using jellyfin for like 2ish years, no complain.

Jellyfin-mpv-shim is great.

Then you're not very pro open source models.

"I'm pro self defense but don't want everyone to have an ICBM."

"Then you're not pro self defense!"

you are not pro self defense if you want just a few to have ICBM.

Pathetic.

llama.cpp?

Ollama is/was based on that.

Just adding to your suggestion.

For those new to llama.cpp, the llama-server component running in "router mode" is fantastic; you place your common configuration in a defaults section of an ini file, and then model specific configuration in separate sections of the ini file. You can switch between models, on the fly, using the API, and the built-in web front-end for llama-server supports model switching as a drop down menu. Llama-server can just always be running, in the background (you can set an idle time for it to automatically unload weights to free vram/ram, and a maximum simultaneously running model count which will evict models on an LRU basis before loading new ones, if the count is exceeded).

llama-bench is another great tool included in llama.cpp, where you can provide ranges of options to test, and just let it run through all the variations that you requested, then take the best performing and add those settings to the ini file above.

There are a lot of optional tunables that can really improve performance with llama-server. E.g., typical average tok/sec generation speed improved over 7X for Gemma4 31B, on my laptop, with tuned batch-size / ubatch-size and enabling both spec-type draft-mtp and ngram-mod (with some custom settings on both). I.e., even though you don't need to do this for llama-server to be useful, it can be worth your while to spend a little time optimizing settings for your favorite models especially if your hardware is marginal.

No because USA is free to murder people, overthrow government. Citizens will cheer for their government, but they're scared about hypothetical scenarios where China win AI race.

Gist is returning 403

You have to enable this, or atleast was the case when I tried less than 1 month ago.

You still have to enable this as of one week ago. I suspect OP might have agentically set up a new Cloudflare domain, and who knows what the agent did during onboarding.