okay so i’ve been kind of obsessed with this story and i can’t tell if i’m reading too much into it or if everyone else in the space is just… not talking about the obvious part? the headline number is wild, sure. but what got me is the implication. like we’re past the phase where companies are experimenting with AI on the side. this is infrastructure spend now. the same mental category as cloud bills and SaaS contracts. and once you’re in that category, the conversation changes completely. it’s not “is the model smart enough” anymore — it’s how many round trips does this thing make before it finishes a task. how much context does it burn just getting its bearings. how often does it get stuck in some dumb observe-wait-click loop because the browser state is a mess. coding agents are relatively clean, right? they’re working in a structured environment. but the second you point an agent at the actual web it becomes chaos. one “simple” task can explode into dozens of slow tool calls and you’re just… watching tokens evaporate. anyway. i’ve been looking at some of the newer browser agent setups that try to fix this at the infrastructure level rather than just prompting harder — isolated sessions, pre-authenticated state, better snapshots — and the speed difference is apparently pretty significant. like 20-50% faster on comparable tasks, which sounds like marketing but also at enterprise scale that math gets real very fast. idk maybe this is obvious to people closer to the infra side. but it feels like the next wave of AI competition isn’t just about which model scores better on benchmarks — it’s about who can actually complete real workflows without hemorrhaging tokens is anyone else thinking about this or am i in a weird corner of the internet submitted by /u/Comi9689
Originally posted by u/Comi9689 on r/ArtificialInteligence