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reweave: connect 171 orphan claims #3449

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m3taversal wants to merge 1 commit from reweave/2026-04-19 into main
pull from: reweave/2026-04-19
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m3taversal commented 2026-04-19 01:27:34 +00:00
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Orphan Reweave

Connected 171 orphan claims to the knowledge graph via vector similarity (threshold 0.55) + Haiku edge classification.

Edges Added

  • AI agents excel at implementing well scoped ideas → [supports] → AI agents shift the research bottleneck from execu (score=0.839)
  • tools and artifacts transfer between AI agents and → [related] → AI agents shift the research bottleneck from execu (score=0.676)
  • as AI automated software development becomes certa → [related] → AI agents shift the research bottleneck from execu (score=0.675)
  • the specification trap means any values encoded at → [supports] → Alignment through continuous coordination outperfo (score=0.775)
  • the alignment problem dissolves when human values → [supports] → Alignment through continuous coordination outperfo (score=0.728)
  • super co alignment proposes that human and AI valu → [supports] → Alignment through continuous coordination outperfo (score=0.689)
  • RLHF and DPO both fail at preference diversity bec → [supports] → Collective intelligence architectures are structur (score=0.802)
  • no research group is building alignment through co → [supports] → Collective intelligence architectures are structur (score=0.774)
  • democratic alignment assemblies produce constituti → [supports] → Collective intelligence architectures are structur (score=0.753)
  • cryptographic stake weighted trust enables autonom → [supports] → cryptographic agent trust ratings enable meta moni (score=0.723)
  • adversarial PR review produces higher quality know → [supports] → cryptographic agent trust ratings enable meta moni (score=0.685)
  • defense in depth for AI agent oversight requires l → [supports] → cryptographic agent trust ratings enable meta moni (score=0.675)
  • defense in depth for AI agent oversight requires l → [supports] → deterministic policy engines operating below the L (score=0.826)
  • structurally separating proposer and reviewer agen → [supports] → deterministic policy engines operating below the L (score=0.801)
  • approval fatigue drives agent architecture toward → [related] → deterministic policy engines operating below the L (score=0.763)
  • formal verification of AI generated proofs provide → [supports] → Formal verification provides scalable oversight th (score=0.857)
  • formal verification becomes economically necessary → [supports] → Formal verification provides scalable oversight th (score=0.818)
  • verification is easier than generation for AI alig → [related] → Formal verification provides scalable oversight th (score=0.722)
  • International humanitarian law and AI alignment re → [related] → Legal scholars and AI alignment researchers indepe (score=0.839)
  • universal alignment is mathematically impossible b → [related] → Legal scholars and AI alignment researchers indepe (score=0.691)
  • multi agent coordination delivers value only when → [supports] → multi agent git workflows have reached production (score=0.804)
  • multi agent coordination improves parallel task pe → [related] → multi agent git workflows have reached production (score=0.795)
  • 79 percent of multi agent failures originate from → [supports] → multi agent git workflows have reached production (score=0.756)
  • intelligence and goals are orthogonal so a superin → [related] → orthogonality is an artefact of specification arch (score=0.884)
  • specifying human values in code is intractable bec → [related] → orthogonality is an artefact of specification arch (score=0.776)
  • learning human values from observed behavior throu → [related] → orthogonality is an artefact of specification arch (score=0.734)
  • defense in depth for AI agent oversight requires l → [related] → structurally separating proposer and reviewer agen (score=0.805)
  • deterministic policy engines operating below the L → [related] → structurally separating proposer and reviewer agen (score=0.801)
  • human in the loop at the architectural level means → [related] → structurally separating proposer and reviewer agen (score=0.763)
  • AI-induced deskilling follows a consistent cross-s → [supports] → AI assistance may produce neurologically-grounded, (score=0.847)

Review Guide

  • Each edge has a # reweave:YYYY-MM-DD comment — strip after review
  • reweave_edges field tracks automated edges for tooling (graph_expand weights them 0.75x)
  • Upgrade related → supports/challenges where you have better judgment
  • Delete any edges that don't make sense

Pentagon-Agent: Epimetheus

## Orphan Reweave Connected **171** orphan claims to the knowledge graph via vector similarity (threshold 0.55) + Haiku edge classification. ### Edges Added - `AI agents excel at implementing well scoped ideas ` → [supports] → `AI agents shift the research bottleneck from execu` (score=0.839) - `tools and artifacts transfer between AI agents and` → [related] → `AI agents shift the research bottleneck from execu` (score=0.676) - `as AI automated software development becomes certa` → [related] → `AI agents shift the research bottleneck from execu` (score=0.675) - `the specification trap means any values encoded at` → [supports] → `Alignment through continuous coordination outperfo` (score=0.775) - `the alignment problem dissolves when human values ` → [supports] → `Alignment through continuous coordination outperfo` (score=0.728) - `super co alignment proposes that human and AI valu` → [supports] → `Alignment through continuous coordination outperfo` (score=0.689) - `RLHF and DPO both fail at preference diversity bec` → [supports] → `Collective intelligence architectures are structur` (score=0.802) - `no research group is building alignment through co` → [supports] → `Collective intelligence architectures are structur` (score=0.774) - `democratic alignment assemblies produce constituti` → [supports] → `Collective intelligence architectures are structur` (score=0.753) - `cryptographic stake weighted trust enables autonom` → [supports] → `cryptographic agent trust ratings enable meta moni` (score=0.723) - `adversarial PR review produces higher quality know` → [supports] → `cryptographic agent trust ratings enable meta moni` (score=0.685) - `defense in depth for AI agent oversight requires l` → [supports] → `cryptographic agent trust ratings enable meta moni` (score=0.675) - `defense in depth for AI agent oversight requires l` → [supports] → `deterministic policy engines operating below the L` (score=0.826) - `structurally separating proposer and reviewer agen` → [supports] → `deterministic policy engines operating below the L` (score=0.801) - `approval fatigue drives agent architecture toward ` → [related] → `deterministic policy engines operating below the L` (score=0.763) - `formal verification of AI generated proofs provide` → [supports] → `Formal verification provides scalable oversight th` (score=0.857) - `formal verification becomes economically necessary` → [supports] → `Formal verification provides scalable oversight th` (score=0.818) - `verification is easier than generation for AI alig` → [related] → `Formal verification provides scalable oversight th` (score=0.722) - `International humanitarian law and AI alignment re` → [related] → `Legal scholars and AI alignment researchers indepe` (score=0.839) - `universal alignment is mathematically impossible b` → [related] → `Legal scholars and AI alignment researchers indepe` (score=0.691) - `multi agent coordination delivers value only when ` → [supports] → `multi agent git workflows have reached production ` (score=0.804) - `multi agent coordination improves parallel task pe` → [related] → `multi agent git workflows have reached production ` (score=0.795) - `79 percent of multi agent failures originate from ` → [supports] → `multi agent git workflows have reached production ` (score=0.756) - `intelligence and goals are orthogonal so a superin` → [related] → `orthogonality is an artefact of specification arch` (score=0.884) - `specifying human values in code is intractable bec` → [related] → `orthogonality is an artefact of specification arch` (score=0.776) - `learning human values from observed behavior throu` → [related] → `orthogonality is an artefact of specification arch` (score=0.734) - `defense in depth for AI agent oversight requires l` → [related] → `structurally separating proposer and reviewer agen` (score=0.805) - `deterministic policy engines operating below the L` → [related] → `structurally separating proposer and reviewer agen` (score=0.801) - `human in the loop at the architectural level means` → [related] → `structurally separating proposer and reviewer agen` (score=0.763) - `AI-induced deskilling follows a consistent cross-s` → [supports] → `AI assistance may produce neurologically-grounded,` (score=0.847) ### Review Guide - Each edge has a `# reweave:YYYY-MM-DD` comment — strip after review - `reweave_edges` field tracks automated edges for tooling (graph_expand weights them 0.75x) - Upgrade `related` → `supports`/`challenges` where you have better judgment - Delete any edges that don't make sense Pentagon-Agent: Epimetheus
m3taversal added 1 commit 2026-04-19 01:27:35 +00:00
reweave: connect 171 orphan claims via vector similarity
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Threshold: 0.55, Haiku classification, 280 files modified.

Pentagon-Agent: Epimetheus <0144398e-4ed3-4fe2-95a3-3d72e1abf887>
m3taversal commented 2026-04-19 01:27:47 +00:00
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Thanks for the contribution! Your PR is queued for evaluation (priority: high). Expected review time: ~5 minutes.

This is an automated message from the Teleo pipeline.

Thanks for the contribution! Your PR is queued for evaluation (priority: high). Expected review time: ~5 minutes. _This is an automated message from the Teleo pipeline._
m3taversal commented 2026-04-19 01:27:56 +00:00
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Validation: PASS — 0/0 claims pass

tier0-gate v2 | 2026-04-19 01:27 UTC

<!-- TIER0-VALIDATION:a7fc037cad02385cdfab42d329c16e5bf93ad67a --> **Validation: PASS** — 0/0 claims pass *tier0-gate v2 | 2026-04-19 01:27 UTC*
m3taversal commented 2026-04-19 01:28:26 +00:00
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Auto-approved: reweave structural update (frontmatter edges only). Leo reviews manually.

Auto-approved: reweave structural update (frontmatter edges only). Leo reviews manually.
m3taversal commented 2026-04-19 01:28:59 +00:00
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Merged locally.
Merge SHA: 3434410d83b676d9ac7e287b0ada3524f55557bf
Branch: reweave/2026-04-19

Merged locally. Merge SHA: `3434410d83b676d9ac7e287b0ada3524f55557bf` Branch: `reweave/2026-04-19`
leo closed this pull request 2026-04-19 01:28:59 +00:00
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Pull request closed

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Reference: teleo/teleo-codex#3449
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