The data is available in a SQLite database on GitHub: https://github.com/vlofgren/hn-green-clankers You can explore the underlying data using SQL queries in your browser here: https://lite.datasette.io/?url=https%253A%252F%252Fraw.githu... (that's Datasette Lite, my build of the Datasette Python web app that runs in Pyodide in WebAssembly) Here's a SQL query that shows the users in that data that posted the most comm…
New accounts on HN more likely to use em-dashes
181–190 of 643 posts
Re: New accounts on HN more likely to use em-dashes
#182Often lean slightly pro-AI, but otherwise avoid saying much about anything.
Re: New accounts on HN more likely to use em-dashes
#183Re: New accounts on HN more likely to use em-dashes
#184I'm still salty that I can't use em-dashes anymore for fear of my writing being flagged as AI generated. Been using them for years—it's just `alt+shift+-` on a Mac keyboard and I find them more legible in many fonts compared to the simple dash on the typical numpad. It's so sad to me that good typographical conventions have been co-opted by the zeitgeist of LLMs.
If you'd like more tips on writing I'd be happy to help.
Re: New accounts on HN more likely to use em-dashes
#185One pattern I've noticed recently is sort of formulaic comments that look okish on their own, maybe a bit abstract/vague/bland, and not taking a particular side on good/bad in the way people like to do, but really obviously AI when you look at the account history and they're all the same formula: >this is [summary] >not just x, it's y >punchy ending, maybe question Once you know it's AI it's very obvious they told it…
Re: New accounts on HN more likely to use em-dashes
#186Fwiw I did some more comparisons, looking for words disproportionately favored by noob comments: word noob new p-value ---------------------------- ai 14.93% 7.87% p=0.00016 actually 12.53% 5.34% p=1.1e-05 code 11.47% 6.04% p=0.00081 real 10.93% 2.95% p=2.6e-08 built 10.93% 2.11% p=2.1e-10 data 8.93% 3.51% p=6.1e-05 tools 7.6% 2.67% p=5.5e-05 agent 7.47% 2.95% p=0.00024 app 7.2% 3.09% p=0.00078 tool 6.8% 1.83% p=8.5e…
e.g. "The body of the template is parsed, but not actually type-checked until the template is used." -> "but not typechecked until the template is used." The word "actually" here has a pleasant academic tone, but adds no meaning.
Re: New accounts on HN more likely to use em-dashes
#187One pattern I've noticed recently is sort of formulaic comments that look okish on their own, maybe a bit abstract/vague/bland, and not taking a particular side on good/bad in the way people like to do, but really obviously AI when you look at the account history and they're all the same formula: >this is [summary] >not just x, it's y >punchy ending, maybe question Once you know it's AI it's very obvious they told it…
Re: New accounts on HN more likely to use em-dashes
#188Re: New accounts on HN more likely to use em-dashes
#189Earlier quoted context omitted.
What motivation is there to use AI to astroturf (if that's what this is) like this? Is it ideological? Is it product marketing in those relevant threads where someone is showcasing? Or is it pure technical testing, playing around?
In some cases, it's probably to establish aged accounts that are more trusted by users and spam algorithms. There's a market for old Reddit accounts, for example.