diff --git a/inbox/archive/.extraction-debug/2025-01-01-forrester-verification-tax-hallucination-costs.json b/inbox/archive/.extraction-debug/2025-01-01-forrester-verification-tax-hallucination-costs.json new file mode 100644 index 00000000..6cb4727d --- /dev/null +++ b/inbox/archive/.extraction-debug/2025-01-01-forrester-verification-tax-hallucination-costs.json @@ -0,0 +1,36 @@ +{ + "rejected_claims": [ + { + "filename": "verification-tax-erodes-automation-gains-creating-productivity-paradox.md", + "issues": [ + "missing_attribution_extractor" + ] + }, + { + "filename": "perception-gap-prevents-verification-cost-correction.md", + "issues": [ + "missing_attribution_extractor" + ] + } + ], + "validation_stats": { + "total": 2, + "kept": 0, + "fixed": 6, + "rejected": 2, + "fixes_applied": [ + "verification-tax-erodes-automation-gains-creating-productivity-paradox.md:set_created:2026-03-18", + "verification-tax-erodes-automation-gains-creating-productivity-paradox.md:stripped_wiki_link:scalable-oversight-degrades-rapidly-as-capability-gaps-grow", + "verification-tax-erodes-automation-gains-creating-productivity-paradox.md:stripped_wiki_link:human-verification-bandwidth-is-the-binding-constraint-on-AG", + "verification-tax-erodes-automation-gains-creating-productivity-paradox.md:stripped_wiki_link:economic-forces-push-humans-out-of-every-cognitive-loop-wher", + "perception-gap-prevents-verification-cost-correction.md:set_created:2026-03-18", + "perception-gap-prevents-verification-cost-correction.md:stripped_wiki_link:AI-displacement-hits-young-workers-first-because-incumbents-" + ], + "rejections": [ + "verification-tax-erodes-automation-gains-creating-productivity-paradox.md:missing_attribution_extractor", + "perception-gap-prevents-verification-cost-correction.md:missing_attribution_extractor" + ] + }, + "model": "anthropic/claude-sonnet-4.5", + "date": "2026-03-18" +} \ No newline at end of file diff --git a/inbox/archive/2025-01-01-forrester-verification-tax-hallucination-costs.md b/inbox/archive/2025-01-01-forrester-verification-tax-hallucination-costs.md index 796d2886..ea075b60 100644 --- a/inbox/archive/2025-01-01-forrester-verification-tax-hallucination-costs.md +++ b/inbox/archive/2025-01-01-forrester-verification-tax-hallucination-costs.md @@ -7,11 +7,15 @@ date: 2025-01-01 domain: ai-alignment secondary_domains: [internet-finance] format: essay -status: unprocessed +status: null-result priority: high triage_tag: claim tags: [verification-tax, hallucination-costs, productivity-paradox, human-oversight, economic-incentives] flagged_for_rio: ["$67.4B in global hallucination losses — economic data on AI reliability costs"] +processed_by: theseus +processed_date: 2026-03-18 +extraction_model: "anthropic/claude-sonnet-4.5" +extraction_notes: "LLM returned 2 claims, 2 rejected by validator" --- ## Content @@ -50,3 +54,15 @@ Synthesis of multiple data points on the economic cost of verifying AI outputs: ## Curator Notes PRIMARY CONNECTION: scalable oversight degrades rapidly as capability gaps grow with debate achieving only 50 percent success at moderate gaps WHY ARCHIVED: Provides ECONOMIC data on oversight costs that complement the theoretical oversight degradation claim. The verification tax concept bridges the technical finding (oversight degrades) to economic consequences (verification costs compound). + + +## Key Facts +- Forrester Research (2025): $14,200/employee/year in hallucination mitigation costs +- Microsoft (2025): 4.3 hours/week average verification time for knowledge workers +- Forbes (2024): 77% of employees report AI increased workloads and hampered productivity +- $67.4 billion in global losses from AI hallucinations in 2024 +- Hallucination detection tools market grew 318% between 2023-2025 +- 76% of enterprises run human-in-the-loop processes to catch hallucinations +- 47% of enterprise AI users made major decisions based on potentially inaccurate AI content +- Forrester estimates 22% decrease in productivity due to manual verification overhead +- 95% of organizations see no measurable returns on AI investments (MIT Media Lab)