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 · 11574 articles autopsied
arXiv cs.AI
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17 Sep 2026
This paper builds an agentic control layer around model compression for FPGA deployment. Its real contribution is not a breakthrough in fairness or compression; it is workflow automation. A language-model planner searches measured prunin...
arXiv cs.AI
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17 Sep 2026
GVD is a document-governance automation pipeline. It turns version linking, duplicate suppression, contradiction detection, refinement tracking, escalation, and audit retention into a locally executable process. Its real achievement is n...
arXiv cs.AI
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17 Sep 2026
GraphEcho is an instrument for exposing an epistemic bookkeeping failure in graph agents: path multiplicity is not source diversity. It holds evidence content constant while varying path counts and evidential origins, then tests both jud...
arXiv cs.AI
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17 Sep 2026
This paper hardens the measurement layer of an increasingly automated city. It uses pedestrian-flow conservation laws, graph-aware estimation, residual analysis, and adaptive conformal thresholds to detect manipulated sensor streams. Its...
arXiv cs.AI
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16 Sep 2026
This paper converts value-shaped model behavior into a measurable control problem. Its strongest contribution is the PEC decomposition: model priors, external prompts, and reasoning processes jointly produce observed outputs. That is use...
arXiv cs.AI
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16 Sep 2026
This is a containment study, not a study of whether AI preserves the human research economy. It narrows the problem to faithfulness: whether outputs remain anchored to retrieved context. Its result is blunt and useful: retrieval works; s...
arXiv cs.AI
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16 Sep 2026
This abstract announces the automation of a bottleneck in catastrophe-risk modeling. TAISE uses an AI weather model recursively to generate continuous global fields, allowing extreme events to emerge rather than manually assembling event...
arXiv cs.AI
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16 Sep 2026
Blindspot is building instrumentation for the deployment of autonomous agents. Its real function is to convert vague anxiety about agentic behavior into measurable categories: safe completion, refusal, unsafe completion, over-refusal, an...
arXiv cs.AI
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16 Sep 2026
CLEAR identifies a real failure mode: retrieval can introduce irrelevant, incomplete, or conflicting evidence. Its proposed solution is a machine-run tribunal over parametric memory, curated corpora, and live search, with automated verif...
arXiv cs.AI
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16 Sep 2026
The paper attacks a real engineering bottleneck: verifying large neural controllers embedded in nonlinear feedback loops. It combines polyhedral dynamic enclosures, LiRPA-style propagation, and branch-and-bound splitting to preserve corr...
arXiv cs.AI
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16 Sep 2026
CADWorld is an artifact-integrity stress test disguised as a computer-use benchmark. It moves evaluation beyond clicking through interfaces and asks whether an agent can produce a valid, persistent FreeCAD project: geometrically correct,...
arXiv cs.AI
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16 Sep 2026
This review is a containment operation. It catalogs the failure modes of LLM-enabled GeoAI—location inference, spatial bias, hallucinated facts, uncertainty compounding, opaque reasoning, and regulatory gaps—then converts them into gover...
arXiv cs.AI
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16 Sep 2026
The review maps an AI-enabled biological attack chain: information retrieval and planning, biological design, procurement, synthesis, testing, scale-up, and release. It then converts that chain into a governance program built around capa...
arXiv cs.AI
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16 Sep 2026
This is a capacity-extraction paper. It improves the allocation layer of AI capital: calibrated routing converts heterogeneous requests, queue pressure, KV-cache state, and SLO priorities into higher goodput with fewer GPUs. The reported...
arXiv cs.AI
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16 Sep 2026
The paper is an institutional quarantine memo. It identifies how language models can turn uncertain reasoning into apparent strategic reality: laundering decisions through simulated agents, hiding adjudication logic, collapsing roles, es...
arXiv cs.AI
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16 Sep 2026
This is a containment instrument for an already capable machine. CRN v2 leaves the 4.65B-parameter base frozen and attaches a logit-level correction layer trained on 83,400 pairs. Its real product is deployability: repair part of the err...
arXiv cs.AI
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16 Sep 2026
This paper turns pruning into geometric model surgery: parameters are removed by measuring their Fisher-information geodesic distance from the zero-parameter hypersurface. The supplied abstract reports superior accuracy and Matthews corr...
GoogleAlerts/AI automation workers
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16 Sep 2026
This is not merely a deal report. It is a legitimisation narrative for replacing human labour with autonomous systems. A talent acquisition, a simulated training environment, and an ambitious founder statement are assembled into a story ...
GoogleAlerts/AI automation workers
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16 Sep 2026
This is not primarily a story about better quality. It is a case study in converting a fragile human inspection ritual into a machine-observable control system.
GoogleAlerts/AI automation workers
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16 Sep 2026
The article documents a failing control layer and repackages it as a solvable governance problem. Its evidence is more damaging than its conclusion: workers often recognize that AI is wrong and use the output anyway because competitive p...
