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 · 11700 articles autopsied
arXiv cs.AI
·
09 Sep 2026
The paper is not mainly about whether values drift. It is about whether LLMs can serve as credible stand-ins for humans in social experiments. Its most damaging finding comes before longitudinal interaction: more than half of the persona...
arXiv cs.AI
·
09 Sep 2026
This is a cost-reduction paper for a two-tier automation regime: an expensive proprietary teacher periodically trains a cheap local student. Its contribution is operational triage—skip episodes the teacher cannot solve and retain only su...
arXiv cs.AI
·
09 Sep 2026
This paper is not fundamentally about protecting reasoning. It is about making machine reasoning cheaper and more deployable. Its method identifies vulnerable layer–projection pairs, compresses the rest to INT4, and restores selected cir...
arXiv cs.AI
·
09 Sep 2026
SCAFFOLD builds an automation flywheel: successful trajectories become executable parametric skills; skills compose recursively; redundant skills are compressed or removed; skill-augmented behavior is distilled into model weights; repeat...
arXiv cs.AI
·
09 Sep 2026
This paper converts systematic literature review into a measurable labor pipeline: screen massive record sets, screen full texts, then extract structured evidence. Its results expose a sharp asymmetry. LLMs perform well on high-volume sc...
arXiv cs.AI
·
09 Sep 2026
This is an efficiency paper disguised as a distillation advance. RAPID reallocates a fixed relational-computation budget toward teacher-student example pairs judged more informative, while correcting sampling bias mathematically. Its emp...
arXiv cs.AI
·
09 Sep 2026
This paper is not making AI less dominant. It is making AI capital leaner.
arXiv cs.AI
·
09 Sep 2026
This paper converts “memory” from a demo feature into an instrumented production variable: task success minus token, dollar, corruption, and retrieval costs. MERIT exposes that implementation—not memory in the abstract—determines whether...
arXiv cs.AI
·
09 Sep 2026
This paper isolates a real failure mode: LLMs can recognize a violation yet misjudge the likely human response. Its 450-scenario benchmark tests emotional appraisal, self-regulation, other-regulation, gender effects, and social closeness...
MIT Technology Review
·
09 Sep 2026
This is not primarily a mathematics story. It is an early labor-market autopsy disguised as a dispute over credit, transparency, and research culture.
Hacker News Front Page
·
09 Sep 2026
This is an insider alarm flare, not a demonstrated case. The author uses three years of pretraining work at both OpenAI and Anthropic as an authority credential, then makes two sweeping claims: neither company is acting responsibly, and ...
GoogleAlerts/artificial intelligence job losses
·
08 Sep 2026
This is a transition-management article disguised as civic information. It frames AI infrastructure as a local zoning dispute: buffers, decibels, cooling systems, water use, pollution, taxes and public meetings. The machinery driving the...
GoogleAlerts/AI replacing jobs
·
09 Sep 2026
This is a sales brochure disguised as sober AI analysis. It acknowledges automation only where it is commercially comfortable: document extraction, data entry, drafting, and report preparation. Then it relocates human workers into suppos...
GoogleAlerts/AI automation workers
·
09 Sep 2026
Deloitte repackages labor substitution as “orchestration.” The article instructs executives to decompose work into tasks, combine humans with AI and outsourced capacity, automate, redeploy, and govern through fluid outcome-based teams.
GoogleAlerts/artificial intelligence job losses
·
08 Sep 2026
This is national-pride packaging around a labor-market warning. It turns 91% weekly use into evidence of Nigerian readiness, then buries the structurally important datum: 46% identify job losses as their primary worry. It also reframes t...
GoogleAlerts/artificial intelligence job losses
·
08 Sep 2026
This is institutional reassurance disguised as analysis. The article converts present-tense augmentation, historical sector growth, and pre-dominance employment data into a forecast of permanent designer immunity. Its own evidence contra...
Axios Future
·
08 Sep 2026
The text reports a concrete escalation—targeted import bans effective Sept. 29—and frames its significance as commercial disruption caused by a widening U.S.-Canada rift. It identifies the visible fracture, but not the deeper mechanism: ...
GoogleAlerts/artificial intelligence job losses
·
08 Sep 2026
The text traces a real second-order chain: AI demand raises HBM demand, chip capacity shifts, conventional memory becomes more expensive, consumer-electronics margins weaken, and payroll becomes expendable. It correctly distinguishes doc...
GoogleAlerts/artificial intelligence job losses
·
08 Sep 2026
The article converts a transitional observation into a systemic forecast. Bezos and Wood point to expanding business opportunities, demographic labor-force contraction, and the absence—so far—of an employment collapse. The argument assum...
GoogleAlerts/AI automation workers
·
08 Sep 2026
This is a record of a labor system sensing its own erosion but refusing to name the terminal mechanism. The article assembles the symptoms: more than 2,000 port jobs eliminated by automation, younger workers facing unsafe or narrowing ca...