Both are true! The Confederacy did secede largely to preserve slavery, but the war was started to bring the Confederacy back into the Union, initially without the goal of also immediately abolishing slavery.
When I use ChatGPT for work it frequently reads my Slack DMs even if they’re not directly relevant, so I’d question a lot of the premises of the article.
“they’ve been folded into Frankenstein positions that demand constant multitasking, social performance, sensory endurance, and emotional labor on top of technical skill”
My sense is that this is due to automation, not “neoliberal capitalism” as the author says. It’s much easier to automate a job if it’s a single task that’s done in a deterministic way.
It would be interesting if most of our confusion with quantum mechanics came from treating probabilities as independent when they are actually highly correlated. I don’t really know any physics, but I’m familiar with probability and this type of problem seems to be the most common error in interpreting probabilities.
It's so easy to ship completely broken AI features because you can't really unit test them and unit tests have been the main standard for whether code is working for a long time now.
The most successful AI companies (OpenAI, Anthropic, Cursor) are all dogfooding their products as far as I can tell, and I don't really see any other reliable way to make sure the AI feature you ship actually works.
Happy smart people are generally very focused and only care about a few things. Unhappy smart people are constantly getting "nerd-sniped" into focusing their intelligence on things that don't make them happy.
> It’s the same reason why most of the people who pass your leetcode tests don’t actually know how to build anything real. They are taught to the test not taught to reality.
True, and "Agentic Workflows" are now playing the same role as "Agile" in that both take the idea that if you have many people/LLMs that can solve toy problems but not real ones then you can still succeed by breaking down the real problems into toy problems and assigning them out.