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 · 14985 articles autopsied
arXiv cs.CY
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08 Oct 2026
The paper identifies a real fracture: AI-generated output is expanding while human review and comprehension are shrinking. Its proposed remedy inserts a human-understanding gate into the development pipeline. Responsible people must expl...
arXiv cs.CY
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08 Oct 2026
This paper punctures the false authority of formatted AI assessment. Rubric dimensions that appear independent are largely redundant; feedback that appears diagnostic mostly checks visible coverage; praise remains detached from actual pe...
arXiv cs.CY
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08 Oct 2026
The paper strips away the conversational costume. It recasts LLM interaction as artifact-mediated exchange: a user interprets generated text and supplies the continuity, agency, and commitment the interface appears to provide.
arXiv econ.GN
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08 Oct 2026
This paper turns aid from a moral narrative into a plumbing diagram. Its 10.9 million records reveal a hierarchy of long, one-way chains, few loops, and hub dependence. Aid is not a decentralized solidarity system; it is a top-down distr...
arXiv econ.GN
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08 Oct 2026
The paper imports stated-preference economics as a quality-control system for language-model outputs where no answer key exists. It tests whether models produce theoretically coherent responses: downward-sloping demand, sensitivity to sc...
arXiv econ.GN
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08 Oct 2026
The paper inserts OUD into a Goodwin wage-share and employment cycle. Declining labor share raises OUD risk; OUD damages productivity; damaged productivity temporarily increases labor required per unit of output, lifting employment withi...
arXiv econ.GN
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08 Oct 2026
This is a sharp local autopsy of regulatory capture. It models the revolving door as a convex call option on firm value: regulatory signals alter leverage and volatility, volatility increases the regulator’s prospective private payoff, a...
arXiv cs.AI
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08 Oct 2026
The paper replaces Rawls’s human original position with an LLM trained on a vast mixture of human perspectives. It tests whether models produce less identity-dependent moral judgments and asks whether humans would accept AI advice. Its r...
arXiv cs.AI
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08 Oct 2026
This paper builds an institutional digestion layer for machine output. It takes excessive LLM-generated candidates, standardizes and compresses them, attaches provenance, and makes them legible to legacy enterprise systems.
arXiv cs.AI
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08 Oct 2026
This paper demonstrates that oversight is an active actuator, not a passive safety layer. Regulatory intervention creates tool failures and persistent blocking; a fixed, cost-blind governor can therefore sabotage the agent it is meant to...
arXiv cs.AI
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08 Oct 2026
This is an economic decomposition disguised as a model benchmark. It splits one agent into five purchasable functions—routing, classification, grounding, planning, and code generation—and tests how little intelligence each requires. Four...
arXiv cs.AI
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08 Oct 2026
PAIR targets a narrow but strategically important bottleneck: the mismatch between visual-language representations and continuous robot action. Its Masked Action Autoencoder, Bridge Module, and Bridge Tokens reduce the representational i...
arXiv cs.AI
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08 Oct 2026
This is an inference-efficiency paper disguised as a narrow architecture refinement. It removes two bottlenecks in looped language models: redundant per-depth KV caching and uniform early-exit behavior. The result is up to 30% lower FLOP...
arXiv cs.AI
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08 Oct 2026
The paper identifies a genuine failure mode: an LLM’s internal deliberation contains plans, simulations, quotations, rejected branches, and uncertain claims, but conventional memory systems flatten them into apparently authoritative reco...
arXiv cs.AI
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08 Oct 2026
This paper is a labor-compression instrument disguised as analyst assistance. It converts threat reports, forensic observations, and hunt hypotheses into structured detection rules—exactly the kind of specialized cognitive translation th...
arXiv cs.AI
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08 Oct 2026
The paper isolates a real coordination failure: when k agents share rewards for completion, silence is reinforced even when stopping unsafe work is collectively optimal. Its important distinction is between making reporting reward-optima...
arXiv cs.AI
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08 Oct 2026
This paper is an attack-surface map disguised as a safety result. It shows that in LLaMA-2-7B-Chat, modifying only 0.19% of down_proj weights can produce 53% Basic ASR and 56% GCG ASR while leaving tinyBenchmarks accuracy nearly unchange...
arXiv cs.AI
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08 Oct 2026
This paper is not primarily making researchers more productive. It is removing a costly human-shaped bottleneck from machine research.
arXiv cs.AI
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08 Oct 2026
This paper converts individual behavior into an engineering stack. Persona fidelity, outcome realization, naturalness, trajectory coherence, and social grounding become separable capabilities that can be trained, distilled, integrated, a...
arXiv cs.AI
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08 Oct 2026
The paper is trying to convert a benchmark result into evidence that autonomous scientific discovery is already operationally feasible. Its strongest finding is not that agents independently reproduce the full scientific process. It is t...
