People didn't stop understanding how to do addition or subtraction when the calculator came out. That's a simple example, but if the AI is superhuman, I don't see any reason why it cannot break things down into simple concepts. I don't think anything is truly beyond comprehension; it just needs to be explained properly (by someone, or someTHING that really understands it) and, for complex ideas, time taken to understand them.

> given up on understanding parts of our own systems for the exact same reason.

Maybe this will be a sign of when ASI is achieved. AI researchers keep saying they don't fully understand how LLMs work - maybe when ASI arrives, it can explain that fully.

Let's see how that goes.

Personally, I wouldn't want all my emails stored on a service where the dude doesn't even look at the code anymore.

He's sitting in the front row at a Ruby on Rails conference - what did you think his job was?

To be honest, I'm looking forward to more AI in healthcare if it can increase diagnosis success rates and improve treatment outcomes etc.

If you're launching something 2 years late, you've got to do better than this.

Sounds like you're assuming they're actually writing code by hand and reviewing it with humans.

If it's anything like the company I work at, they're all being forced to vibe code the shit out of everything and ship more pull requests every week. It's all slop from here.

I feel like I should be excited about being able to generate almost perfect videos but, I just don't care anymore.

No.

Their leadership went all in on AI and in the last blog post essentially admitted some missing test coverage for a critical path. Time to learn lessons and fix your vibe coded shitslop and stop using "user graph go up" as some kind of excuse.

[1] https://www.cbc.ca/news/canada/shopify-ceo-endorses-idea-to-...