pandas is a good library for this - it takes CSV files and turns them into Python objects you can manipulate. plotly / matplotlib lets you visualise data, which is also useful. GPT-4 / Claude could help you with this. I would recommend starting by getting a language model to help you create plots of the data according to relevant subsets. Like if you think that the season matters for how much gold is collected, give the model a couple of examples of the data format and simply ask it to write a script to plot gold per season.

I don't know about the first one - I think you'll have to analyse each job and decide about that. I suspect the answer to your second question is "Basically nil". I think that unless you are working on state-of-the-art advances in:

A) Frontier models B) Agent scaffolds, maybe.

You are not speeding up the knowledge required to automate people.

I guess my way of thinking of it is - you can automate tasks, jobs, or people.

Automating tasks seems probably good. You're able to remove busywork from people, but their job is comprised of many more things than that task, so people aren't at risk of losing their jobs. (Unless you only need 10 units of productivity, and each person is now producing 1.25 units so you end up with 8 people instead of 10 - but a lot of teams could also quite use 12.5 units of productivity well)

Automating jobs is...contentious. It's basically the tradeoff I talked about above.

Automating people is bad right now. Not only are you eliminating someone's job, you're eliminating most other things this person could do at all. This person has had society pass them by, and I think we should either not do that or make sure this person still has sufficient resources and social value to thrive in society despite being automated out of an economic position. (If I was confident society would do this, I might change my tune about automating people)

So, I would ask myself - what type of automation am I doing? Am I removing busywork, replacing jobs entirely, or replacing entire skillsets? (Note: You are probably not doing the last one. Very few, if any, are. The tech does not seem there atm. But maybe the company is setting themselves up to do so as soon as it is, or something)

And when you figure out what type you're doing, you can ask how you feel about that.

It seems to me that either:

• RLHF can't train a system to approximate human intuition on fuzzy categories. This includes glitches, and this plan doesn't work.

• RLHF can train a system to approximate human intuition on fuzzy categories. This means you don't need the glitch hunter, just apply RLHF to the system you want to train directly. All the glitch hunter does is make it cheaper.

I was about 50/50 on it being AI-made, but then when I saw the title "Thought That Faster" was a song, I became much more sure, because that was a post that happened only a couple weeks ago I believe, and if it was human-made I assume it would take longer to go from post to full song. Then I read this post.

In Soviet Russia, there used to be something called a Coke party. You saved up money for days to buy a single can of contraband Coca-Cola. You got all of your friends together and poured each of them a single shot. It tasted like freedom.

I know this isn't the point of the piece, but this got to me. However much I appreciate my existence, it never quite seems to be enough to be calibrated to things like this. I suddenly feel both a deep appreciation and vague guilt. Though it does give me a new gratitude exercise - imagine the item I am about to enjoy is forbidden in my country and I have acquired a small sample at great expense.

I notice that this is a standard pattern I use and had forgotten how non-obvious it is, since you do have to imagine yourself in someone else's perspective. If you're a man dating women on dating apps, you also have to imagine a very different perspective than your own - women tend to have many more options of significantly lower average quality. It's unlikely you'd imagine yourself giving up on a conversation because it required mild effort to continue, since you have less of them in the first place and invest more effort in each one.

The level above that one, by the way, is going from being "easy to respond to" to "actively intriguing", where your messages contain some sort of hook that is not only an easy conversation-continuer, but actually wants them to either find out more (because you're interesting) or keep talking (because the topic is interesting)

Worth noting is I don't have enough samples of this strategy to know how good it is. However, it is also worth noting is I don't have enough samples because I wound up saturated on new relationships a couple weeks shortly after starting this strategy, so for a small n it was definitely quite useful.