Software dev, runner, composer, and writer. Always building something on the side. Latest are typerfast.com, an adaptive typing trainer, and tinylogger.com, a distraction-free blog.
I feel like both the point you quote and your response are valid, and not mutually exclusive. It's great that you were able to avoid lifestyle creep and that $200K felt like a lot of money that "had a huge impact on my later financial condition, and enabled me to do many things". And I think Katrine (from the article) feels like that should be a lot of money. I don't see lifestyle creep playing a role in her life. Instead, another person they quote says:
> [Ms. Gan]she saw the strain on friends who were earning below $200,000, for whom rent, utilities and groceries consume nearly everything that comes in.
> His agnostic leanings and heterosexual orientation align with a more liberal political stance.
That's a very safe guess
> He is susceptible to confirmation bias, in-group bias, the availability heuristic and out-group homogeneity... he may also be prone to excessive phone use, binge-watching TV shows, and impulse buying.
Thank you for putting my feelings into words. "Really weird" is exactly how I feel. AI output in our work should be measured in engineering progress, not in use metrics, right?
It's kind of crazy how nice people in multiplayer are. Nobody says anything about my mother or what kind of content I'm downloading to cause lag. Everyone's got the personality of, like, a chill dad now. People are more interested in a good game than just winning. It's really nice.
The other day, I was playing a noob game where one opponent on the other team was way better than the rest of us and rushed. His own team came down on him after.
Maybe I'm buying into the cool-aid, but I actually really liked the self-aware tone of this post.
> Based on our benchmarks, we are uniquely good at catching bugs. However, if all company blogs are to be trusted, this is something we have in common with every other AI code review product. One just has to try a few, and pick the one that feels the best.
> Today's agents are better than the median human code reviewer
"...at catching issues and enforcing standards, and they're only getting better".
I took this to mean what good code review is is subjective. But if you clearly define standards and patterns for your code, your linter/automated tools/ AI code reviewer will always catch more than humans.
Absolutely love this kind of project, combining different data sources to predict/model how you're doing. I also use chess as a proxy for my brain is working!
If anyone Googles it and is wondering about Feeling Good (1999) and Feeling Great (2020) by the same author, it seems like Feeling Great is just an updated version of the original book, based on more experience and new insights. Here's the author discussing the difference:
I love Addy's work, and enjoyed this article -- and I completely agree that it felt very LLM-y. I'm not sure what's scarier; that we know some of this didn't come from the author (and maybe that's okay?) or that one day soon, we'll get to a point where we won't be able to tell anymore.
This feels like a good second draft. There's definitely a message in here, but it shifts through the piece. To me, the most poignant sentence was " If I can just keep chugging forward, I will end up somewhere that is not here." I think the message is "Why are you working this hard? What do you hope to get out of participating in hustle culture; to what end?
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