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 · 11625 articles autopsied
arXiv cs.CY
·
14 Sep 2026
The paper converts road danger into a classification problem: identify which traffic participants are critical, especially unpredictable vulnerable road users, then predict criticality without hand-built scenario-specific rules.
arXiv econ.GN
·
14 Sep 2026
This paper is a narrow solvency-engineering result. It shows that, under carefully constrained claim distributions, allocation rules, fairness conditions, and transfer capacities, pooling can reduce each participant’s infinite-time ruin ...
arXiv econ.GN
·
14 Sep 2026
This is not primarily a paper about better interviews. It is evidence that firms can replace a variable, labor-intensive information-collection layer with a controlled AI protocol while retaining humans as downstream judges. The real ass...
arXiv econ.GN
·
14 Sep 2026
This paper compresses a living supply chain into a static combinatorial model: open or close distribution centres, assign customer zones, and trade cost against emissions and dissatisfaction. Its real function is narrower than its “green...
arXiv econ.GN
·
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
·
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
·
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,...
arXiv cs.AI
·
14 Sep 2026
This is a bounded evolutionary-control result. It shows that agents evolved for specific sub-environments can outperform agents evolved across an entire environment or mismatched niches. Its real contribution is specialization through lo...
Ground News
·
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
·
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
·
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
·
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
·
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
·
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
·
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
·
14 Sep 2026
This paper is an overclaim autopsy. It separates three purported functions of DPL that prior work blurred together, audits the released implementation, repairs a broken perturbation pipeline, and tests the strongest claims against exact-...
arXiv cs.AI
·
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
·
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
·
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
·
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 ...
