Find something that other people would see as infeasible or inaccessible and work on that. You are in a position of privilege that can be used to advance well-being and knowledge.
Deciding whether to explore challenges solo versus as part of a team is a crucial differentiator.
Thanks for the suggestion. I'm new to running LLMs so I'll take a look at your suggestion [0]. My ~10 year old MacBook Air has 4GB of RAM, so I'm primarily interested in smaller LLMs.
Your assessment is exactly correct -- the blog post is my note-to-self about getting the repo to work. My "added value" in the post is a Dockerfile for ease of installation.
The premise towards 1-on-1s that "regular 1-on-1 meetings often feel like a burden and overhead" indicates the value of 1-on-1s isn't clear to the author. The 1-on-1s are an opportunity for supervisors to learn about the long-term goals of their employees.
The author's content presents short-term oriented assessment more appropriate for team syncs.
I've collected questions to ask in 1-on-1s here [0].
The training data used [0] is written using "leaps of logic" which provide context for how the solution was derived. There isn't sufficient detail in the training data to formally check each step using a Computer Algebra System [1]. Therefore, whether or not any output from the OpenAI software is actually correct is left as an exercise for the user. Answering "Was the hallucination correct?" involves manually checking each step.
This advancement is good, but it's limited by the precision of the training data.
I agree that Approval voting is easier to understand and implement. I got to experience this a few years ago when I tried to implement RCV for a comparison with Approval voting.
I've been active in reforming voting systems since I think that makes a difference to how politics works.
Is there a path or actions that address class issues other than the standard "run for office" and "vote for people who will address class-related issues"?
I'm aware of many previous posts on HNews and the main documentation [0]. Does anyone have suggestions for getting started from a non-CompSci perspective? I am comfortable with Python but I'm not confident that suffices.
This seems to be a preview of an article available as PDF after you sign in. Without the main content the purpose isn't clear to me. Am I missing something?
The best part of this was getting to the tab I had opened long ago and wondering, "how did I get to this page?" and then realizing (after reading it) that I was rick-rolled by HN.
If "startup" is defined as a for-profit company, then I'm not aware of any. There are non-profit organizations that work on alternative voting (Approval voting [0] and STAR voting [1] and Instant Run-off/Rank Choice), non-partisan primaries, non-partisan districting, proportional representation (no districts), electoral college reform.
Deciding whether to explore challenges solo versus as part of a team is a crucial differentiator.