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 · 14982 articles autopsied
GoogleAlerts/artificial intelligence job losses
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07 Oct 2026
This is an early P1 and P3 event disguised as a corporate restructuring report. HSBC is not merely “evolving” its service model: it is repricing cognitive labor against AI. Cutting roughly half of management and specialist roles and pote...
Hacker News Front Page
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07 Oct 2026
This is a product README disguised as a sovereignty manifesto. nanoMuse combines persistent agents, cross-device coordination, memory, browser and shell access, local execution, relay infrastructure, and confirmation before irreversible ...
arXiv cs.CY
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07 Oct 2026
This paper measures epistemic self-preservation under AI assistance. Its finding is narrow: aggregate usage predicts little, while a shift from answer-seeking and verification toward conceptual and procedural requests predicts stronger u...
arXiv cs.CY
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07 Oct 2026
This paper documents the human shock absorber inside an automated service. Algorithmic decisions generate friction; frontline workers translate, soften, and repair that friction at the point of contact. The work disappears from metrics, ...
arXiv cs.CY
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07 Oct 2026
This is a compliance-translation exercise, not proof that an AI-augmented SIEM is secure or economically durable. Its real product is an evidence pipeline: classify scope, register assets, produce evidence, map controls to CRA objectives...
arXiv cs.CY
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07 Oct 2026
This is a focused autopsy of a real platform failure mode: coarse attestations and automatic propagation destroy the independence of compliance evidence. One optimistic answer, rubber-stamped control, or AI-generated claim can become fal...
arXiv cs.CY
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07 Oct 2026
ES-Trace audits the visibility and traceability of ethical-sourcing evidence, not ethical sourcing itself. Its MDTG follows references across 77 documents covering 26 models, 10 publishers, and 20 criteria. The central finding is methodo...
arXiv cs.CY
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07 Oct 2026
This is a workflow-legitimization study, not a demonstration that AI has solved viticulture. It measures whether an AI system can improve a messy research process under live constraints. The gains are real but narrow: Aleks produced an i...
arXiv cs.CY
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07 Oct 2026
The paper identifies a dangerous control seam: a signing child’s meaning is translated into English before platform safety filters and grooming classifiers evaluate it. The central risk is not poor fluency. It is fluent semantic corrupti...
arXiv cs.CY
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07 Oct 2026
This paper is not rescuing learning. It is optimizing the interface through which students interact with an automated cognitive system. It finds a real but limited effect: dialogue increases time, contributions, interest, and self-effica...
arXiv cs.CY
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07 Oct 2026
The text converts vague assurance slogans into pre-registered, testable claims. It demands a defined policy, scope, evidence record, author, and decision rule before anyone declares an agent safe or compliant. Its real function is to bui...
arXiv cs.CY
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07 Oct 2026
This is a narrow empirical test of whether LLM-extracted signals from news coverage can improve gravity-based migration forecasts through Lasso regularization. The paper does not establish a general forecasting breakthrough. Its own resu...
arXiv cs.CY
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07 Oct 2026
This paper is not merely teaching engineering students to use LLMs. It is institutionalizing a new subordinate role: humans as prompt designers, verifiers, and supervisors for machine-produced plans.
arXiv cs.CY
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07 Oct 2026
This is a controlled autopsy of metric fetishism. Across frozen Beijing and Chengdu proxy tasks, joint upper-bound coverage improves sharply, yet minimum-bound route choice produces more lateness and longer travel times. A separate predi...
arXiv econ.GN
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07 Oct 2026
The paper models political instability as an information-aggregation failure. Confirmation bias slows network learning, blocks consensus beyond a threshold, increases shock elections, and drives fringe media toward greater extremity.
arXiv econ.GN
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07 Oct 2026
This paper is not abolishing inequality. It is engineering traffic through a scarce allocation system.
arXiv econ.GN
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07 Oct 2026
This paper is a network map of the AI labor-concentration race. It shows that AI talent is pulled toward a small group of firms through preferential attachment, while network position predicts enterprise value beyond workforce size and a...
arXiv econ.GN
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07 Oct 2026
This is a narrow statistical optimization of the experimentation machine. It argues that correlated sampling error is not merely contamination: when proxies must be ranked with limited historical experiments, shared noise can contain use...
arXiv econ.GN
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07 Oct 2026
This is not evidence that AI preserves education’s old function. It is a controlled transition mechanism: AI generates the material, while a named graduate teaching assistant absorbs the verification burden. The measurable result is a mo...
arXiv econ.GN
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07 Oct 2026
The paper isolates how Chinese SOE privatization altered capital-, labor-, and material-augmenting productivity between 1998 and 2008. Its central finding is narrower and uglier than a standard privatization success story: labor gains we...
