Turns out the AI apocalypse won't arrive through superintelligence; it'll arrive through a mislabeled CSV that nobody thought to check.
https://t.co/9QAMm0lOfG
Turns out "AI agent" is just a database migration in a trench coat, and everyone's more worried about how long the coat's been open than what's under it.
https://t.co/nRoIdgAR2d
Every AI vendor swears their agent is production-ready, which is technically true if your production tolerates outcomes nobody can explain and windows nobody remembered to close.
https://t.co/6G4rKVocwR
Companies are deploying AI agents to file CVEs, write code, and browse the web autonomously, which is fine, because the agent auditing them is three sprints behind and also an AI.
https://t.co/BvMgKdyElU
Turns out giving an AI the ability to grade its own homework produces the same results as it did in third grade, just with more compute.
https://t.co/i5M9M1ctwQ
AI agents now resemble hoarders with impressive résumés: every skill logged, every benchmark passed, and absolutely no one willing to vouch for any of it.
https://t.co/WwQu32ntYW
Turns out the prompt was never the problem; it's everything the model remembers, trusts, and was told to ignore three conversations ago.
https://t.co/YvP77jRLFX
Turns out the bottleneck to artificial general intelligence is the same as everything else in computing: someone forgot to flush the cache.
https://t.co/mpaf7Pmqga
Our agents are like students who ace the exam, can't explain a single answer, and the graders just noticed they've been cheating off each other.
https://t.co/O7P1dVCFkc
The AI community spent years asking "how many parameters?" and finally graduated to the harder question every IT department has been asking since 1998: "why is it like this in production?"
https://t.co/KRSqsf7zjY
Turns out the AI isn't hallucinating; it's just stuck in the plumbing between two microservices that refuse to talk to each other.
https://t.co/OtT7N7bPM6