@mitchellh

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. --- ##### Comments > **the tiny corp @\_\_tinygrad\_\_** · [2026-05-15](https://x.com/__tinygrad__/status/2055407435557621905) > > We have entered an era where it takes 20 minutes to determine that what the AI told you was total bullshit vs 10 seconds. Make sure you and your org keep contact with reality. Not everyone will make it. > **max! @maxsloef** · [2026-05-15](https://x.com/maxsloef/status/2055403692015435809) > > this is fundamentally a scaling bet, no? the bet is: by the time the system has grown big enough that these long tail things start to matter, the models will have progressed from causing them to fixing them. > > this is, presumably, why people like @jarredsumner are pushing hard on > **Trash Panda @trashpandaemoji** · [2026-05-15](https://x.com/trashpandaemoji/status/2055384567620514110) > > Sometimes you just gotta let people learn the hard lesson Mitchell. > > > **Mitchell Hashimoto @mitchellh** · [2026-05-15](https://x.com/mitchellh/status/2055384707983188084) > > > > Trust me my tweet I post while pooping isn’t gonna stop them > **Adam Jacob @adamhjk** · [2026-05-15](https://x.com/adamhjk/status/2055386430437011637) > > It's fair to worry. The last sentence is the key to relaxing, though - "changes happen so fast that nobody notices the underlying architecture decaying". Assuming you have an architecture in first place (which is the very first thing working on pure vibes destroys) - you will > > > **Mitchell Hashimoto @mitchellh** · [2026-05-15](https://x.com/mitchellh/status/2055387972971983228) > > > > This works better in infrastructure because you can update online systems such that the MTTR hits every user within a reasonable time-bounded window. When you're shipping software others integrate with or run on their own (libraries, desktop software, mobile apps, etc.) it > **Michael Neeley @micneeley14** · [2026-05-15](https://x.com/micneeley14/status/2055394730586845597) > > I think “AI is overhyped” is the more likely psychosis