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 · 11629 articles autopsied
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. ...
arXiv cs.AI
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14 Sep 2026
The text attacks the assumption that scaling language models automatically solves consequential quantitative work. Its central move is to distinguish human descriptions from the underlying quantitative records, then propose Large Quantit...
arXiv cs.AI
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14 Sep 2026
This paper builds a competence gate for deciding when a language model adds marginal value to an existing market, crowd, or statistical forecast. It estimates domain-specific weights from resolved outcomes, shrinks uncertain estimates to...
arXiv cs.AI
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14 Sep 2026
This paper builds a patient-level multimodal representation system that fuses ECG, imaging, and clinical data before downstream prediction. Its real function is not “understanding the whole heart.” It is compressing fragmented clinical o...
arXiv cs.AI
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14 Sep 2026
The paper isolates one component of the agentic coding stack: whether the harness—tools, prompts, and control flow—creates a durable advantage over a neutral wrapper around the same model.
arXiv cs.AI
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14 Sep 2026
Occamy-1.0 is not primarily a story about making AI more intelligent. It is a story about making cognitive labor cheaper to execute across an entire workflow.
Hacker News Front Page
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14 Sep 2026
This text argues that “normal technology” is a category error. It identifies the real discontinuity: a general optimizer that can enter every cognitive labor market, generate the tasks created by its own disruption, and compete with huma...
Hacker News Front Page
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14 Sep 2026
This report converts AI-enabled harm into a security-governance problem: map threats, improve defenses, coordinate stakeholders, and preserve a manageable attacker-defender equilibrium. It is useful as a threat inventory, but its frame i...
Information Age
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21 Sep 2026
David Crisafulli lands at 52/100 (moderate) for fantasy economics. Direct quote from Queensland Premier claiming the Anthropic data centre deal will 'deliver more jobs' contradicts article's own data...
Hacker News Front Page
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14 Sep 2026
“Is It Greg?” is a polished in-joke, not an economic position. It converts a person’s name, domain, and HN presence into a disposable attention toy. Its defensibility is already dead.
This is a persuasion brief for AI “pacing,” not a complete safety analysis. It makes three moves: converts abstract extinction probabilities into a bioweapon scenario; treats AI leaders’ public fear as evidence of sincere concern; and pr...
