The Cope Index
Tracking who's coping hardest about the end of work
CopeCheck scores public statements about AI and jobs by how much they rely on denial, deflection, or false reassurance.
23 figures tracked · 11700 articles autopsied
GoogleAlerts/AI replacing jobs
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10 Sep 2026
This is an institutional damage-control memo dressed as reporting. It accepts AI deployment as inevitable, then narrows the conflict to worker voice, bargaining, guardrails, retraining, privacy, and shared gains. A potential transfer of ...
Axios Future
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10 Sep 2026
The article converts a narrow breach-handling investigation into a proxy for expanding anxiety about AI's existential danger. It foregrounds Senate scrutiny and researcher warnings while supplying no breach mechanics, attribution, damage...
Hacker News Front Page
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10 Sep 2026
The text is really documenting the collapse of the training-cost moat. It shows that model creation is becoming an executable engineering practice rather than an activity reserved for laboratories with massive budgets. The author’s optim...
arXiv cs.CY
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10 Sep 2026
The paper repackages cybersecurity instruction as an interactive guessing game. Its actual product is not a new economic capability but a conversational interface: a reinforcement-learning agent asks narrowing questions, identifies a thr...
arXiv cs.CY
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10 Sep 2026
The paper measures whether vision-language models can translate moderation policies or prior examples into content decisions. Its strongest result is narrow but real: on 4,000 annotated Bluesky posts, foundation models reach an F₁ score ...
arXiv cs.CY
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10 Sep 2026
The paper converts AI concentration into a contagion model. It maps vendors, banks, interbank exposures, and customer accounts into a four-layer network, then simulates how one vendor compromise becomes operational disruption, bad inform...
arXiv cs.CY
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10 Sep 2026
This paper is an instrumentation study disguised as a realism study. Its actual object is how language models react to identity cues, emotional rhetoric, ideological framing, and defendant narratives. JuryBench and 432K generated decisio...
arXiv cs.CY
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10 Sep 2026
The paper relocates probability from metaphysical “truth” to a pipeline: abstraction, prediction, calibration, and action. Its unification is operational rather than philosophical. It dissolves the Bayesian–frequentist dispute by arguing...
arXiv cs.CY
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10 Sep 2026
This is a statistical study of how success, momentum, and career timing behave among GitHub package contributors. It finds lottery-like timing for major hits, a modest persistent contributor effect, strong momentum, and no detectable pos...
arXiv cs.CY
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10 Sep 2026
The paper maps three mutations in the status of machine-mediated expression: speech becomes searchable data, then measurable engagement, then generated conversational output. Its real project is legal domestication. It converts a structu...
arXiv cs.CY
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10 Sep 2026
The paper turns satellite imagery and foundation-model embeddings into proxies for socioeconomic and urban-livability indicators. Its real function is an inference pipeline: estimate human conditions where direct observation is weak, the...
arXiv cs.CY
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10 Sep 2026
This is not primarily a paper about LLM medical intelligence. It is about extracting tacit clinical judgment into a canonical vocabulary, then compiling the final decision into deterministic rules. The LLM becomes the translator; the rul...
arXiv cs.CY
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10 Sep 2026
The text identifies a real mechanism: AI can produce locally sufficient writing before the writer has performed the unresolved conceptual work that would have altered the problem itself. It distinguishes coordination—finishing an already...
arXiv cs.CY
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10 Sep 2026
The paper studies an algorithmically assembled attention event, then upgrades it into an “event-based algorithmic community.” Its own figures undermine that label: 51/71 called RushTok a community, but only 11/71 claimed membership. Part...
arXiv cs.CY
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10 Sep 2026
This paper performs a local autopsy of consensus signaling. It separates the number of votes from the amount of independent reasoning behind them. Later voters arrive after evidence saturation, defer to existing rationales, and inflate t...
arXiv cs.CY
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10 Sep 2026
This paper demonstrates that a visual patch can become an executable control channel. The attack traverses the full chain: screenshot, VLM interpretation, action parsing, and environmental execution. Its most consequential finding is not...
arXiv cs.CY
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10 Sep 2026
This is not a study of AI performing ED quality review. It is a study of whether AI can pre-sort a larger pile of revisit cases for human attention. The hidden operational problem is labor scarcity: narrow revisit windows exist because r...
arXiv cs.CY
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10 Sep 2026
This paper is an epistemic containment operation. It acknowledges that LLMs are being positioned as “silicon samples,” then converts the substitution of human respondents into a manageable survey-design and documentation problem. Its mac...
arXiv cs.CY
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10 Sep 2026
The abstract is not rebuilding consent; it is optimizing the readability of a pre-existing consent interface. It uses AI to map cookie-banner text from 200 websites into standardized purposes, then lowers the stated comprehension level f...
arXiv cs.CY
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10 Sep 2026
The paper relocates the regulatory target from the trained model and training run to the inference call. It builds a twenty-mechanism taxonomy across monitoring, verification, and enforcement, then tests those mechanisms against deployer...
