We can take the AI out of the question entirely and ask how many other humans you personally as a driver would be willing to mow down to avoid your own death—driving off a bridge, say.
I would suggest that all but the most narcissistic would have some limit to how many pedestrians they would be willing to run over to save their own lives. The demand that the AI have no such limit—“that the AI will prioritize my life and safety over literally any other concern”—is grotesque.
> Lilypond is a very good tool, but the part on Gregorian chant is not maintained and very deep modifications would be needed to perfectly align the notes and text.
> Note, however, that there are some serious flaws in
LilyPond regarding Gregorian notation (especially the non-modern
version), and right now there is nobody who works on improving that...
It's not necessarily the number of lines that motivates these tools. Say you're running an NLP pipeline where you want to do sentiment analysis on a large text corpus (tweets, for example) and then relate sentiment over time to some other variables. Each of those steps might only be a dozen lines of code, but the sentiment analysis might take a nonnegligable amount of time. If you can avoid rerunning it when only the later analysis has changed that can save you considerable time while iterating on the second step of the analysis.
The old fashioned way to do this in R is to use the REPL and only rerun the lines of the script that have changed, with the earlier part staying in the environment. But it's easy to make mistakes doing it manually that way; having the computer track what has changed and needs to be rerun is much less error-prone.
Yes, the main benefit is caching and reproducibility: with targets (or any other DAG-based approach), you only recompute what needs to be recomputed and you are assured that no stale inputs or temporary analysis artifacts end up in the final product. If you don't own the underlying data sources and those sources can change at any point, a DAG-based approach helps ensure that.
Since we’re sharing anecdata: I also have the $20 month plan for codex, and I hit the five hour limit after about an hour of work every single time I open it. I use it for personal side projects primarily in the evening after kids are in bed, so my strategy is to launch it about 4pm and send a simple prompt to prime the 5 hour window to end at 9pm, start working about 8pm, and then I can use up the existing 5 hour window and the next one by about 10pm.
What kind of side projects do you need to run these models for that many hours? I haven't experimented with Opus to that extent and mostly supervise it and/or am prompting it every 5-10min to fix something up.
- sysadmin tasks for my home server which runs home assistant, plex, and minecraft servers. Being able to tell it "Set up a minecraft fabric server with this list of mods" is pretty nice, and it's fairly competent at putting together home assistant dashboards and automations (make sure you have backups of anything it's allowed to touch, though--it may delete stuff without warning).
- Several small web apps primarily for my own use.
- Currently working on an opinionated desktop writing app for my own use.
Polymarket charges “taker” fees (people removing liquidity by matching listed orders) on most markets. Geopolitics markets are exempt. A portion of the collected fees then get redistributed to “makers” (people who provide liquidity by listing orders for others to match). Presumably the rest of these fees make up polymarket’s revenue.
Which is essentially also providing a platform for making the book for the other platform, on which 'bookie fees' are charged, but Polymarket itself only keeps a certain cut of it, for facilitating but not actually book-making.
> 1. Why should harming a million people identically reduce their right to a fair legal evaluation and possibly compensation for damages?
It doesn’t. You can almost[1] always opt out of class action lawsuits to pursue your own suit. This would be expensive and unwise for most people, but you have right.
Given the model is several years old, I assume this write up with its focus on incorporating domestic materials is so Mark Zuckerberg has something “America First” to point to next time he meets with Trump.
This is not to denigrate the work—experimental design can be a huge force multiplier and making it more accessible to people on the ground is a great thing to do. One of my favorite grad school courses was an experimental design class with four students where we spent about half of the semester doing real life experimental design for a chemistry phd student who was trying (and mostly failing, before we got involved) to create a molecular filter with specific properties.
I would suggest that all but the most narcissistic would have some limit to how many pedestrians they would be willing to run over to save their own lives. The demand that the AI have no such limit—“that the AI will prioritize my life and safety over literally any other concern”—is grotesque.
reply