The r17 from Renault is absolutely gorgeous and should come with a robot chauffeur
“Driver”: Pierre, take us to the opera
Pierre: va te faire enculer, monsieur :takes a drag:
@thorstenball 1. The lists must be numbered
2. Posting shall always be on walls, never whiteboards. Always a need for a hammer and nails.
3. Did I mention the numbered list point yet?
I’m less interested in whether AI “replaces engineers” than in what parts of engineering were never just code.
Taste. Risk. Boundaries. Verification. Ownership.
The machine can produce more. But you’re still paid to decide what it should point at.
https://t.co/8lJEqZKKud
I strongly believe there are entire companies right now under heavy AI psychosis and its impossible to have rational conversations about it with them. I can't name any specific people because they include personal friends I deeply respect, but I worry about how this plays out.
I lived through the great MTBF vs MTTR (mean-time-between-failure vs. mean-time-to-recovery) reckoning of infrastructure during the transition to cloud and cloud automation. All those arguments are rearing their ugly heads again but now its... the whole software development industry (maybe the whole world, really).
It's frightening, because the psychosis folks operate under an almost absolute "MTTR is all you need" mentality: "its fine to ship bugs because the agents will fix them so quickly and at a scale humans can't do!" We learned in infrastructure that MTTR is great but you can't yeet resilient systems entirely.
The main issue is I don't even know how to bring this up to people I know personally, because bringing this topic up leads to immediately dismissals like "no no, it has full test coverage" or "bug reports are going down" or something, which just don't paint the whole picture.
We already learned this lesson once in infrastructure: you can automate yourself into a very resilient catastrophe machine. Systems can appear healthy by local metrics while globally becoming incomprehensible. Bug reports can go down while latent risk explodes. Test coverage can rise while semantic understanding falls. Changes happens so fast that nobody notices the underlying architecture decaying.
I worry.
AI optimism flips around ~$36k GDP per capita. Below it, countries are bullish; above, sceptical. Singapore's the only outlier; the government treats AI adoption as a national project.
The backlash tracks income, not technology.
https://t.co/jWhPatsmSo
Everybody's trying to predict our AI future.
There's one where we aren't doing much AI after the bubble pops.
But there's also a future where use of these tools increase and our job focus intensifies in areas that makes the most sense with LLMs.
https://t.co/5CQSglpTwj