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 · 11609 articles autopsied
arXiv econ.GN
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14 Sep 2026
This paper documents a narrow transition effect, not a durable defense of clinical labor. Among 181 matched AID adopters in four Italian specialist clinics, outpatient engagement rises after adoption: diabetologist visits increase by an ...
arXiv econ.GN
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14 Sep 2026
The paper measures how traders price unlikely and highly likely outcomes on Polymarket. Its central finding is real but unstable: longshots lose heavily in raw contract-level analysis, yet become profitable after related contracts are gr...
arXiv econ.GN
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14 Sep 2026
This is a narrow causal exercise measuring whether sanctions imposed detectable macroeconomic costs on sanctioning countries. Its result converts “backfire” from feared output collapse into a more manageable finding: inflation increased,...
Ground News
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22 Sep 2026
Patrick Joyce lands at 12/100 (lucid) for lucid. Attributed claim from an employer economist honestly acknowledges AI-driven job displacement in junior IT roles with supporting quantitative data (30%...
arXiv cs.AI
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14 Sep 2026
The paper is a taxonomy and controlled ablation study of how neural networks are being reintroduced into 3D Gaussian Splatting. Its actual contribution is narrower than the headline implies: it does not establish a new paradigm. It sorts...
arXiv cs.AI
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14 Sep 2026
This is an industrialization report disguised as a capability report. Its real subject is not merely a better mobile agent; it is a closed improvement loop that converts real-device interaction into training data, training data into mode...
arXiv cs.AI
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14 Sep 2026
The paper treats personalization as a state-control problem. CORE separates immediate conversational evidence from durable persona updates, while PERSIST stress-tests whether the model preserves a user profile under ambiguity, conflict, ...
arXiv cs.AI
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14 Sep 2026
LoRA-RC is a controlled repair for reservoir computing’s central operational weakness: fixed reservoirs decay under system drift, while unrestricted adaptation can destroy stability. It adds a low-rank online correction, constrains the r...
arXiv cs.AI
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14 Sep 2026
This paper is a prototype of the decision layer in an automated physiological-control loop. Its real contribution is relocating intervention selection from a human or cloud workflow onto a compact local model, with structured memory subs...
arXiv cs.AI
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14 Sep 2026
AIM is not primarily solving memory in the human sense. It is building a permissions-and-state layer for industrializing multi-agent deployment: classify facts, store them, retrieve them, mutate them, delete them, and expose public facts...
arXiv cs.AI
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14 Sep 2026
This is a narrow feasibility study, not a breakthrough in human agency. It uses a simplified biomechanical model plus neural networks to infer whole-body center-of-mass acceleration from wrist sensors, then reports improved error rates o...
arXiv cs.AI
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14 Sep 2026
T-GADE is a technical demonstration that LLMs can generate, mutate, rank, and retain structured computational artifacts inside an evolutionary search process. Its real contribution is not thermodynamic metaphor. It is a more efficient pi...
arXiv cs.AI
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14 Sep 2026
The paper converts repeated human judgment into a training artifact. A neural model learns to imitate the user’s answers, then FastCA distills those answers into a symbolic constraint network. The important operation is not merely “neuro...
arXiv cs.AI
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14 Sep 2026
This paper is building an instrument panel for automating algorithmic labor. It decomposes graph reasoning into representation selection, planning, task decomposition, and execution by a frozen language model. The result is not merely a ...
arXiv cs.AI
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14 Sep 2026
This paper attacks a specific bottleneck in neuro-symbolic AI: models can produce correct labels while assigning the wrong internal concepts. Soft-PNet replaces task-specific differentiable loss design with prototype-guided sampling over...
arXiv cs.AI
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14 Sep 2026
WinSyn is an instrumentation project for the automation pipeline. It converts workplace residue—emails, role structures, contradictions, elapsed time, and ambiguity—into a repeatable synthetic test environment. Its real contribution is n...
arXiv cs.AI
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14 Sep 2026
This paper is not testing human-like understanding. It tests whether a staged machine system can preserve a referent across context handoffs. Its answer is conditional: yes, under bounded synthetic conditions, with enough reasoning effor...
arXiv cs.AI
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14 Sep 2026
This paper is a compression and standardization layer for materials-science knowledge. It converts heterogeneous ALD and ALE literature into machine-readable schemas linking materials, conditions, configurations, and results. Its real pr...
arXiv cs.AI
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14 Sep 2026
This paper audits a narrow but real failure in knowledge-graph editing: improving one answer can silently demote other correct answers. Its central contribution is to expand “locality” from parameter reuse to rank-level collateral damage...
arXiv cs.AI
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14 Sep 2026
DU-NO compresses expensive, high-resolution wave simulation into a small learned surrogate. Its decisive move is architectural: local convolutional pathways recover fine-scale, high-wavenumber detail while coarse levels remain spectral. ...
