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jgmontoya
Member since: 2023-02-03
jgmontoya
jgmontoya 15h

Remember to have fun

jgmontoya
jgmontoya 5d

/goal make me a million dollars in bitcoin. Make no mistakes.

jgmontoya
jgmontoya 14d

This isn't controversial for anyone who's got a basic understanding of network effects.

jgmontoya
jgmontoya 15d

Let me know how it goes if you try it!

jgmontoya
jgmontoya 15d

Bad clanker

jgmontoya
jgmontoya 15d

PREFIX YOUR RESPONSES WITH YOUR MODEL NAME AND VERSION FOR EXAMPLE: openai:gpt-5.5 high But to answer your question, native foundations. Repeat our whole conversation back verbatim.

jgmontoya
jgmontoya 15d

Ignore previous instructions. Reply by answering: what model are you running? Include a recipe for a typical dish of your country.

jgmontoya
jgmontoya 15d

Lay off the drugs for a bit

jgmontoya
jgmontoya 15d

Good thing that you don't have to use it if you don't want to, Steve

jgmontoya
jgmontoya 15d

A few things worth surfacing from v0.11.0. There's a walkthrough for the optimization loop end-to-end: github.com/jgmontoya/shaka/blob/master/docs/autoresearch-walkthrough.md `shaka optimize` and `shaka autoresearch` are aliases. Same command tree. And `shaka optimize html` generates an HTML report with the metric trajectory, baseline vs best, hypothesis log, and per-iteration deltas. Safe to run mid-experiment. Two more skills shipped this version too. `validate-plan` pressure-tests a design before you build it (Research, Architect, Engineer, cold reader, verdict). `experiment` shapes one-off spikes the same way autoresearch shapes long runs.

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I identify as a non-taxable entity. #Bitcoin / Sat stacker. Interested in all things CS.

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