AI tools marketed as 'undetectable' now help users pass technical interviews, craft essays, and even manage dates in real time. As these products scale, the cost of cheating drops while detection lags, pushing institutions to compete in a losing arms race.
— If core screening rituals no longer measure merit, hiring, education, and dating norms will need redesign or risk systemic loss of trust.
EditorDavid
2025.10.04
60% relevant
Faking keyboard activity to appear online is a concrete instance of low‑cost cheating tools undermining screening/measurement rituals; here, 'are you active at your keyboard' ceased to measure real work, forcing a policy redesign.
EditorDavid
2025.09.21
82% relevant
Chrome’s auto‑appearing 'homework help' puts AI answers two clicks away during online quizzes, functionally scaling cheating tools from niche apps to a default browser feature; universities (e.g., Emory, UCLA, UC Berkeley) warned faculty, and Google only paused after media scrutiny.
Arnold Kling
2025.09.03
60% relevant
Kling’s proposal to teach editing rather than writing accepts that AI can generate essays at scale and implies institutions must redesign evaluation instead of fighting AI‑assisted 'cheating.' It complements the earlier claim that legacy screening rituals fail when AI makes production cheap and undetectable.
Kelsey Piper
2025.09.03
50% relevant
Both argue institutions increasingly reward those who game systems: here via SNAP 'household' definitions and ancestry claims in admissions, there via AI tools that lower the cost of cheating; together they show an incentive structure that advantages dishonest actors and corrodes trust.
Arnold Kling
2025.09.01
62% relevant
Kling’s NBU proposes personal recommendations from practitioner‑faculty instead of traditional credentials; this directly responds to the existing idea’s warning that AI-enabled cheating erodes trust in grades and essays, forcing redesign of screening and signaling. The article explicitly raises employer acceptance of letters versus degrees and how to prevent quality dilution.
Kelsey Piper
2025.08.26
80% relevant
The article says AI has made it 'easier than ever to apply' and documents 182–200%+ jumps in applications (Greenhouse, Ashby, LinkedIn), echoing our thesis that AI tools lower the cost of passing gatekeeping rituals and swamp selection systems.
Ted Gioia
2025.08.20
80% relevant
The article extends the 'cheap cheating' dynamic from hiring and education to all media—photos, audio, books—arguing validation itself fails, which aligns with the claim that low-cost deception will force institutions to redesign trust mechanisms.
Julia Steinberg
2025.06.30
100% relevant
Cluely’s manifesto ('We want to cheat on everything'), its $15M a16z-led Series A, and the 'undetectable AI' pitch used to ace interviews and prompt date behavior.
Erik Hoel
2025.06.26
82% relevant
The article cites an AI startup, Cluely, using the slogan 'Cheat on Everything,' as emblematic of a Valley shift toward tools that make dishonesty cheap and marketable—directly echoing the 'cheating-as-a-service' trend.