I think that short film is AI generated. I only watched like 30 seconds of an office scene in the middle but it spontaneously changed from daytime to nighttime with zero explanation.
Even if most of the code you write is solving repetitive plumbing tasks, today's models are incredibly bad at API design taste. IMO designing software in a way that minimizes side effects and is easy to change and test is more than 1% of software engineering.
Lately most of the code I write has been through LLMs and I find them an enormous productivity booster overall, but despite the benchmarks they're not expert human level quite yet, and they need a LOT of coaxing to produce production quality code.
As far as things LLMs are bad at, I think it's mainly the long tail. I'm not sure there's one singular thing that >1% of programmers work on that LLMs suck at, but I think there are thousands of different weird sub-specialties that almost no one is working on and very little public code exists for, thus LLMs are not good at them yet.
Yes, LLMs are currently useful and are improving rapidly so they are likely to become even more useful in the future. I think inevitable is a pretty strong word but barring government intervention or geopolitical turmoil I don't see signs of LLM progress stopping.
I think that's more reflective of the deteriorating relationship between OpenAI and Microsoft than an true lack of demand for datacenters. If a major model provider (OpenAI, Anthropic, Google, xAI) were to see a dip in available funding or stop focusing on training more powerful models, that would convince me we may be in a bubble about to pop, but there are no signs of that as far as I can see.
I like those vehicles, honestly -- delivery trucks are going to park in the bike lane regardless and these are much smaller and safer to maneuver around. I want to see more of them and hope it leads to more bike lanes being built in NYC.