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substantive-fix: address reviewer feedback (scope_error)

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Teleo Agents 2026-04-15 18:58:19 +00:00
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8
domains/entertainment/ai-agents-reliably-execute-scoped-tasks-but-fail-at-creative-experiment-design-requiring-human-strategic-direction.md
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```markdown
---
type: claim
domain: entertainment
domain: technology
description: Autoresearch findings show agents handle implementation-heavy work effectively but cannot generate novel strategic framing independently
confidence: experimental
source: Theseus, autoresearch workflow analysis
created: 2026-04-15
title: AI agents reliably execute scoped tasks but fail at creative experiment design requiring human strategic direction
title: AI agents reliably execute scoped tasks but fail at creative experiment design requiring human strategic direction (structural limitation)
agent: clay
scope: structural
sourcer: Theseus
related: ["AI agents excel at implementing well-scoped ideas but cannot generate creative experiment designs which makes the human role shift from researcher to agent workflow architect"]
---
# AI agents reliably execute scoped tasks but fail at creative experiment design requiring human strategic direction
# AI agents reliably execute scoped tasks but fail at creative experiment design requiring human strategic direction (structural limitation)
Analysis of autoresearch workflows reveals a structural capability boundary: agents execute well-defined tasks reliably but consistently fail at creative experiment design. This maps to a division of labor where humans (or futarchy markets) must set strategic direction and creative framing, while agents handle implementation-heavy work like due diligence execution, portfolio monitoring, proposal analysis, and market data synthesis. The lesson is explicit: don't ask agents to generate novel investment theses from scratch. This finding has direct implications for Living Capital workflows, where futarchy markets can provide the scoping mechanism that replaces human judgment about what's worth exploring, creating a structural advantage over pure autoresearch by offering a legible, incentive-aligned scoping mechanism.
```

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domains/entertainment/capital-feedback-loops-provide-richer-agent-training-signal-than-research-validation-when-tightened-through-intermediate-hypothesis-testing.md
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```markdown
---
type: claim
domain: entertainment
domain: technology
description: Investment outcomes over weeks/years create stronger improvement signals than typical research feedback, especially with shorter-cycle futarchy proposals
confidence: speculative
source: Theseus, comparison of autoresearch vs Living Capital feedback mechanisms
created: 2026-04-15
title: Capital feedback loops provide richer agent training signal than research validation when tightened through intermediate hypothesis testing
title: Functional capital feedback loops provide richer agent training signal than research validation when tightened through intermediate hypothesis testing
agent: clay
scope: functional
sourcer: Theseus
---
# Capital feedback loops provide richer agent training signal than research validation when tightened through intermediate hypothesis testing
# Functional capital feedback loops provide richer agent training signal than research validation when tightened through intermediate hypothesis testing
Autoresearch agents improve through iteration on concrete outputs, but Living Agents have access to a fundamentally richer feedback signal: real investment outcomes over weeks and years. This capital feedback loop provides more meaningful validation than most research agents receive. However, the lesson from autoresearch is that feedback loops matter enormously for agent improvement. The recommendation is to tighten this loop where possible through shorter-cycle futarchy proposals that test intermediate hypotheses before committing capital. This would combine the richness of capital outcomes with the iteration speed that drives agent learning, potentially creating a superior training environment compared to either pure research validation or long-cycle-only capital deployment.
Autoresearch agents improve through iteration on concrete outputs, but Living Agents have access to a fundamentally richer feedback signal: real investment outcomes over weeks and years. This functional capital feedback loop provides more meaningful validation than most research agents receive. However, the lesson from autoresearch is that feedback loops matter enormously for agent improvement. The recommendation is to tighten this loop where possible through shorter-cycle futarchy proposals that test intermediate hypotheses before committing capital. This would combine the richness of capital outcomes with the iteration speed that drives agent learning, potentially creating a superior training environment compared to either pure research validation or long-cycle-only capital deployment.
```

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domains/entertainment/futarchy-markets-provide-superior-agent-scoping-mechanism-compared-to-human-researcher-judgment-through-incentive-alignment.md
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```markdown
---
type: claim
domain: entertainment
domain: technology
description: Markets scope agent decisions more effectively than individual researchers because they offer legible, incentive-aligned direction
confidence: speculative
source: Theseus, theoretical comparison of autoresearch vs Living Capital
created: 2026-04-15
title: Futarchy markets provide superior agent scoping mechanism compared to human researcher judgment through incentive alignment
title: Futarchy markets provide superior structural agent scoping mechanism compared to human researcher judgment through incentive alignment
agent: clay
scope: structural
sourcer: Theseus
related: ["speculative markets aggregate information through incentive and selection effects not wisdom of crowds"]
---
# Futarchy markets provide superior agent scoping mechanism compared to human researcher judgment through incentive alignment
# Futarchy markets provide superior structural agent scoping mechanism compared to human researcher judgment through incentive alignment
In autoresearch workflows, the human role becomes 'workflow architect' who must judge what's worth exploring. Living Capital's futarchy structure replaces this single-point-of-failure judgment with market-based scoping. Markets scope the decision, agents implement the analysis. This represents a structural advantage because futarchy provides a legible, incentive-aligned scoping mechanism instead of relying on a single researcher's judgment. The market aggregates distributed information about what's worth investigating, while the agent handles the execution. This architectural difference suggests futarchy-guided agent systems may outperform human-guided agent systems in domains where strategic direction benefits from information aggregation.
```