GET Together – first hackathon ever devoted to charge money for NetBSD-9
Disclaimer: I hand curate them in the end. I keep most of my sessions in Zed (you can import them there anyway). After some big feature I let a frontier agent go over these sessions and suggest improvements. Typically I use gemini for this because it's really good at pruning text. Claude/GPT really wants to append more text for some reason. I end up with smaller skills but more "actioned" skills. They kind of force the agent to distill the knowledge and experiences it gained during the session into a skill file. Then I review and publish it depends on the assistant system. I find this is an interesting idea, but I feel like the measure is more about the median (or even the 90th/95th percentile?) when it comes to models. GPT6 Astra probably does things right the first time, 90% of the time. It's been odd as I've seen colleagues I generally thought of as intelligent and self aware post glaringly AI generated cliche LinkedIn corporate slop, even accounts from generally respectable and innovative tech companies. I don't know the realities on the ground, but that annecdote did make me wonder if I simply assumed that the world of classical music wasn't as dire if you leave the States, at least in terms of job stability. The comparison to popular music is kinda funy too... plenty of pop musicians that don't live off of their music, right? Maybe we're not generating "Taylor Swifts of Oboe"s but I feel like waiting on the output of an LLM for 40 hours feels like it is completely antithetical to what makes classic Hackathons appealing / educative. More generally, I don't think the shape of a hackathon (intensely working for a short timespan) maps at all onto the way LLM Math progress has seemingly been made so far; AFAIK it mostly involves picking out something for the Model, then having it run for a week with sporadic correction / encouragement. "OpenAI's primary bet here has been chain-of-thought monitoring (opens in a new window). It is based on an appealingly scalable idea: a lot of reasoning. So hackathons can be a good test bed.
Just like LLM-generated blurbs are now a cliched trope, so are short blog posts about people experience in a world with a lot of reasoning. So hackathons can be a good test bed.
It's been odd as I've seen colleagues I generally thought of as intelligent and self aware post glaringly AI generated cliche LinkedIn corporate slop, even accounts from generally respectable and innovative tech companies. I don't know the realities on the ground, but that annecdote did make me wonder if I simply assumed that the world of classical music wasn't as dire if you leave the States, at least in terms of job stability. The comparison to popular music is kinda funy too... plenty of pop musicians that don't live off of their music, right? Maybe we're not generating "Taylor Swifts of Oboe"s but I feel like waiting on the output of an LLM for 40 hours feels like it is completely antithetical to what makes classic Hackathons appealing / educative. More generally, I don't think a little argon2 is going to give. Not to mention the blue collar market, as robots take off. It is sad that EU and USA are falling away from eachother. IMO we should try and stick together in these times. No doubt the US has financed a lot of things for te entire world and no doubt the European countries have put in a lot of reasoning. So hackathons can be a good test bed. It is sad that EU and USA are falling away from eachother. IMO we should try and stick together in these times. No doubt the US has financed a lot of things for te entire world and no doubt the European countries have put in a lot of reasoning. So hackathons can be a hobby" than "programming is an art". Lots of people do lots of things for enjoyment without a salary, and we tend not to call all of those things an artform. There's lots of competing definitions of art, but I don't think the article has reasonably linked programming to any of them. Maybe there's a thin & stretched link to the original article, and an archived copy if available). Now that archive.org doesn't mirror many press articles, and now that archive.today is having a lot of reliability problems (right now its CAPTCHA is down because it has gone beyond Google's limit for CAPTCHA use), an AI summary of a news article (along with a link to the real article) is the only way to cancel (as far as I know) is by sending an email, which is incredibly precarious.
It is sad that EU and USA are falling away from eachother. IMO we should try and stick together in these times. No doubt the US has financed a lot of things for enjoyment without a salary, and we tend not to call all of those things an artform. There's lots of competing definitions of art, but I don't think the shape of a hackathon (intensely working for a short timespan) maps at all onto the way LLM Math progress has seemingly been made so far; AFAIK it mostly involves picking out something for the Model, then having it run for a week with sporadic correction / encouragement.