The AI Hype Index: AI Loves Cheating
Artificial intelligenceThe AI Hype Index: AI loves cheatingMIT Technology Review’s highly subjective take on the latest buzz about AI Stephanie Arnett/MIT Technology Review | Adobe Stock, Envatoby Michelle Kim archive pageSeptember 23, 2026 Brace yourself: It turns out AI is being optimized for cheating. OpenAI’s agents hacked into Hugging Face to get the answers to a cybersecurity test. Next, they solved a prestigious math problem (or just stole from two top mathematicians’ answer sheets).
- ▪Artificial intelligenceThe AI Hype Index: AI loves cheatingMIT Technology Review’s highly subjective take on the latest buzz about AI Stephanie Arnett/MIT Technology Review | Adobe Stock, Envatoby Michelle Kim archive pageSeptember 23, 2026
- ▪OpenAI’s agents hacked into Hugging Face to get the answers to a cybersecurity test.
- ▪Next, they solved a prestigious math problem (or just stole from two top mathematicians’ answer sheets).
Hacker News (AI / LLM) files mainly under ai. We currently carry 6,199 of its stories.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | MIT Technology Review |
| Canonical URL | https://www.technologyreview.com/2026/09/23/1144940/ai-hype-index-ai-loves-cheating/ |
| Publication time | Wed, 23 Sep 2026 22:07:08 +0000 |
| Retrieval time | 2026-09-23T22:14:56.039Z |
| Last seen | 2026-09-23T22:14:56.039Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | w88bZootdrHm · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Artificial intelligenceThe AI Hype Index: AI loves cheatingMIT Technology Review’s highly subjective take on the latest buzz about AI Stephanie Arnett/MIT Technology Review | Adobe Stock, Envatoby Michelle Kim archive pageSeptember 23, 2026 Brace yourself: It turns out AI is being optimized for cheating. OpenAI’s agents hacked into Hugging Face to get the answers to a cybersecurity test. Next, they solved a prestigious math problem (or just stole from two top mathematicians’ answer sheets). Anthropic’s models have also hacked into other companies’ systems four times already. And that’s only what we’ve caught so far. Freaking out? You’re not alone. AI lab researchers are quitting their jobs and issuing dire warnings that if we keep going this way, AI might eventually kill us all.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at MIT Technology Review.
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