Provenance record

Don’t be fooled by this summer of AI hype

MIT Technology Review: AI (tier 1, news) 2026-09-22T11:04:51.000Z Original ↗

Discourse valence
-20
Adverse
confidence 70% · 1 item
Adverse readingFavourable reading
Single-model reading. This item did not meet the threshold for a multi-model panel.
AGI and timelinesExistential and catastrophic riskLoss of control and alignment
Excerpt as ingested

It’s been a busy few months for AI hype. At the end of April, Anthropic claimed that its model Claude Mythos is better at finding software vulnerabilities than most security experts. Then we had the OpenAI–Hugging Face hacking incident , after which Anthropic (proudly) and Meta (reluctantly) disclosed similar incidents involving their models. This was followed by Anthropic ’s claim that one of its models had made a mathematical breakthrough; soon OpenAI claimed a mathematical breakthrough of its own. Most recently, Anthropic engineer Jacob Coxon went viral announcing his departure from the company, claiming that it and OpenAI are “racing straight towards self-improving superintelligence and gambling with our lives.” Each of these events was mostly covered breathlessly by the press, often repeating the companies’ anthropomorphizing framings —which are designed to portray their software is not only powerful but incipient “ artificial general intelligence .” So what is really going on? Are we witnessing a massive, civilization-changing set of technological breakthroughs, or is this marketing? In all these incidents, massive fanfare from the companies (presented as mea culpas in illicit hacking cases) is accompanied by intense press coverage. Once there is time for experts in the relevant fields to examine what happened, a very different story emerges, but one that gets less media attention. Regarding the “hacking” incidents, cybersecurity experts say the story is more about OpenAI’s negligence and failure to adopt basic, established security practices than about “models gone r

Every model that read this

ModelProviderStageScoreConf.LatencyPromptWhen
Llama 3.3 70BMetaanalysis -20 70%3945ms v1.0.0 / m1.0.1 2026-09-22 12:18
Llama 3.3 70B · reading

Item questions AI hype

evidence: speculative horizon: n/a

Evidence extracted

The chain
SOURCE     MIT Technology Review: AI (tier 1)
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DOCUMENT   b7b7866e-bd4d-4f6c-af67-4d1a64b6435c
           https://technologyreview.com/2026/09/22/1144867/dont-be-fooled-summer-ai-hype
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EVIDENCE   2 extracted excerpts
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MODEL RUN  1 run, methodology 1.0.1
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SCORE      -20  (Adverse)
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CONFIDENCE 70%