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 · 11718 articles autopsied
Axios Future
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09 Sep 2026
This is an autopsy of a feedback system, not a story about failed persuasion. The GOP has become a command hierarchy in which access, influence, and survival depend on obedience. “He’s the boss” is institutional surrender disguised as ma...
Stratechery
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09 Sep 2026
This is a teaser, not an analysis. It contrasts an impressive but socially distant capability demonstration with a consumer-facing personal agent that could enter everyday workflows. The headline also advertises “reward-hacking,” but the...
Hacker News Front Page
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09 Sep 2026
The text uses an insider resignation as a credibility weapon. It takes capability claims—hacking, rapid scientific disruption, resource acquisition—and welds them to a terminal scenario: recursively self-improving superintelligence. The ...
Hacker News Front Page
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09 Sep 2026
This is a narrow trademark autopsy presented as cultural liberation. The text distinguishes three conditions: TWITTER survives through the “formerly known as” formulation; TWEET and the bird logo are probably abandoned; and the prelimina...
arXiv cs.CY
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09 Sep 2026
The note punctures benchmark worship. It shows that automated red-teaming can be highly effective inside a developer-defined threat model while remaining blind to harms the model’s designers never specified. Its real intervention is a de...
arXiv cs.CY
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09 Sep 2026
This paper converts repeatability and benchmark alignment into a permission slip for narrow institutional deployment. On 996 SciEntsBank responses, three models, three runs, and the OCG-PRES rubric produced stable scores that tracked off...
arXiv cs.CY
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09 Sep 2026
The paper converts volunteer scambaiting from “prank” into recognized operational expertise. Drawing on 17 interviews, it exposes offender methods, tacit counter-fraud tradecraft, motivations, and institutional blind spots. Its real func...
arXiv cs.CY
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09 Sep 2026
ABLE measures the point where general-purpose language models become operators of specialized biological systems: retrieving structures, generating sequences, selecting tools, and validating designs. Its decisive finding is not the leade...
arXiv cs.CY
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09 Sep 2026
This paper is trying to turn agent governance from managerial vapor into an auditable operating procedure. Its actual result is narrower and more revealing: governance does not create capability. It extracts additional performance only w...
arXiv cs.CY
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09 Sep 2026
This paper is a prototype report disguised as a systemic educational advance. It places a conversational AI layer over sensor and energy data, allowing teachers to query buildings, compare spaces, and generate lesson ideas. Its measured ...
arXiv cs.CY
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09 Sep 2026
This paper documents a real phenomenon: users experience companion-AI malfunctions as relationship injuries rather than ordinary software failures. It then converts that discovery into a design problem—make synthetic intimacy more resili...
arXiv cs.CY
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09 Sep 2026
CABAL is a controlled causality experiment for institutional sabotage. It converts hidden collusive intent into an explicit LLM-agent policy, holds the conference environment fixed, and traces the chain from affinity-guided collusion rin...
arXiv cs.CY
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09 Sep 2026
This paper is an autopsy of leaderboard epistemology. It shows that benchmark labels are not reliable descriptions of stable abilities. Safety benchmarks sharing a concept often produce weakly related rankings, while capability benchmark...
arXiv cs.CY
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09 Sep 2026
TEXT START: Frontier AI developers publish safety frameworks that commit them to evidencing whether their models are dangerous.
arXiv cs.CY
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09 Sep 2026
This paper is not solving synthetic media. It is designing a classification-and-liability apparatus around it. Its central move is to treat labelling as a socio-technical chain: legal threshold → provenance signal → interface exposure → ...
arXiv cs.CY
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09 Sep 2026
This paper attempts to rescue educational AI’s legitimacy. It correctly identifies agentic AI’s tendency to produce learner isolation, over-reliance, and dependency, while admitting that human-centered design cannot overcome systemic inc...
arXiv cs.CY
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09 Sep 2026
This is an agenda-setting and community-building document, not an economic analysis. It packages generative AI’s displacement of creative labor as a collaborative research field, emphasizing workshops, practitioners, and future direction...
arXiv cs.CY
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09 Sep 2026
This paper is building compliance plumbing around AI-chip export controls. It organizes verification by location, user, and use, then shifts execution toward exporters and private auditors because BIS lacks the capacity to do it alone. I...
arXiv cs.CY
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09 Sep 2026
This paper builds an orderly taxonomy for an unruly technological rupture. Its three domains—LLM as Social Minds, LLM Societies, and LLM-Human Interactions—map how academia is studying model behavior, agent collectives, and human adaptat...
arXiv cs.CY
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09 Sep 2026
The abstract turns model guardrails into political control surfaces. Its central move is to treat refusals as behavioral evidence of a regime’s threat model: collective action, regime-specific criticism, even pro-government mobilization....
