The failure already has a name: workslop, AI output polished enough to pass as finished4 but hollow enough that whoever receives it has to redo the work5. The pattern shows up at scale: a 2024 RAND analysis found that more than 80% of AI projects fail, roughly twice the rate of IT projects that do not involve AI, and traced the leading cause not to weak models but to organizations misframing the problem they set out to solve6.

OpenAI's Sora web and app experiences were discontinued on April 26, with the Sora API set to follow on September 24. The shutdown came after the product proved financially untenable: Sora cost roughly $1 million per day to operate but generated only about $2.1 million in total revenue

the real failure mode of uncontrolled vibe coding: your codebase regressing to your worst engineer.

Btw, I think GLM-5.1 was trying to do something very ambitious here, and failed due to fumbling step size

We built an automated scanning agent that systematically audited eight among the most prominent AI agent benchmarks — SWE-bench, WebArena, OSWorld, GAIA, Terminal-Bench, FieldWorkArena, and CAR-bench — and discovered that every single one can be exploited to achieve near-perfect scores without solving a single task.

Decades spent educating researchers have had little or no influence on beliefs and practice (Schmidt and Hunter, 1997, pp.20–22).

NHST has been severely criticized for more than 50 years by end users to whom fair statistical communication matters.