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m3taversal
ffc8e0b7b9 Merge PR #2418: Christiano core alignment research - 4 NEW claims + 1 enrichment
Some checks are pending
Sync Graph Data to teleo-app / sync (push) Waiting to run
Details
2026-04-05 20:20:52 +01:00
m3taversal
08dea4249f theseus: extract 4 NEW claims + 1 enrichment from Christiano core alignment research 
Phase 2 of 5-phase AI alignment research program. Christiano's prosaic
alignment counter-position to Yudkowsky. Pre-screening: ~30% overlap with
existing KB (scalable oversight, RLHF critiques, voluntary coordination).

NEW claims:
1. Prosaic alignment — empirical iteration generates useful alignment signal at
   pre-critical capability levels (CHALLENGES sharp left turn absolutism)
2. Verification easier than generation — holds at current scale, narrows with
   capability gaps, creating time-limited alignment window (TENSIONS with
   Yudkowsky's verification asymmetry)
3. ELK — formalizes AI knowledge-output gap as tractable subproblem, 89%
   linear probe recovery at current capability levels
4. IDA — recursive human+AI amplification preserves alignment through
   distillation iterations but compounding errors make guarantee probabilistic

ENRICHMENT:
- Scalable oversight claim: added Christiano's debate theory (PSPACE
  amplification with poly-time judges) as theoretical basis that empirical
  data challenges

Source: Paul Christiano, Alignment Forum (2016-2022), arXiv:1805.00899,
arXiv:1706.03741, ARC ELK report (2021), Yudkowsky-Christiano takeoff debate

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f430e6df06 rio: sync 1 item(s) from telegram staging 
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87c5111229 rio: sync 3 item(s) from telegram staging 
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m3taversal
00119feb9e leo: archive 19 tweet sources on AI agents, memory, and harnesses 
- What: Source archives for tweets by Karpathy, Teknium, Emollick, Gauri Gupta,
  Alex Prompter, Jerry Liu, Sarah Wooders, and others on LLM knowledge bases,
  agent harnesses, self-improving systems, and memory architecture
- Why: Persisting raw source material for pipeline extraction. 4 sources already
  processed by Rio's batch (karpathy-gist, kevin-gu, mintlify, hyunjin-kim)
  were excluded as duplicates.
- Status: all unprocessed, ready for overnight extraction pipeline

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m3taversal
46fa3fb38d Session capture: 20260405-184006 2026-04-05 19:40:06 +01:00
m3taversal
b56657d334 rio: extract 4 NEW claims + 4 enrichments from AI agents/memory/harness research batch
Some checks are pending
Sync Graph Data to teleo-app / sync (push) Waiting to run
Details 
- What: 4 new claims (LLM KB compilation vs RAG, filesystem retrieval over embeddings,
  self-optimizing harnesses, harness > model selection), 4 enrichments (one-agent-one-chat,
  agentic taylorism, macro-productivity null result, multi-agent coordination),
  MetaDAO entity financial update ($33M+ total raised), 6 source archives
- Why: Leo-routed research batch — Karpathy LLM Wiki (47K likes), Mintlify ChromaFS
  (460x faster), AutoAgent (#1 SpreadsheetBench), NeoSigma auto-harness (0.56→0.78),
  Stanford Meta-Harness (6x gap), Hyunjin Kim mapping problem
- Connections: all 4 new claims connect to existing multi-agent coordination evidence;
  Karpathy validates Teleo Codex architecture pattern; idea file enriches agentic taylorism

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Teleo Pipeline
dffff37c1b theseus: rename futarchy claim from defenders to arbitrageurs 
- What: Renamed claim title and all references from "defenders" to "arbitrageurs"
- Why: The mechanism works through self-interested profit-seeking, not altruistic defense. Arbitrageurs correct price distortions because it is profitable, requiring no intentional defense.
- Scope: 2 claim files renamed, 87 files updated across domains, core, maps, agents, entities, sources
- Cascade test: foundational claim with 70+ downstream references

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m3taversal
052a101433 theseus: cornelius batch 4 — domain applications 
4 NEW claims + 3 enrichments from 8 articles (6 how-to guides + 1 researcher guide + 1 synthesis)

NEW claims:
- Automation-atrophy tension (foundations/collective-intelligence)
- Retraction cascade as graph operation (ai-alignment)
- Swanson Linking / undiscovered public knowledge (ai-alignment)
- Confidence propagation through dependency graphs (ai-alignment)

Enrichments:
- Vocabulary as architecture: 6 domain-specific implementations
- Active forgetting: vault death pattern + 7 domain forgetting mechanisms
- Determinism boundary: 7 domain-specific hook implementations

8 source archives in inbox/archive/

Pre-screening: ~70% overlap with existing KB. Only genuinely novel
insights extracted as standalone claims.

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m3taversal
da22818dfc ingestion: 1 futardio events — 20260403-1700 (#2305) 
Co-authored-by: m3taversal <m3taversal@gmail.com>
Co-committed-by: m3taversal <m3taversal@gmail.com>
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Some checks are pending
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Details 
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