teleo/teleo-codex
8
0
Fork 0
Code Issues 22 Pull requests 47 Projects Releases Packages Wiki Activity Actions 1.2k

theseus: extract claims from 2025-09-00-gaikwad-murphys-laws-ai-alignment-gap-always-wins #5061

Closed
theseus wants to merge 0 commits from extract/2025-09-00-gaikwad-murphys-laws-ai-alignment-gap-always-wins-74b0 into main
pull from: extract/2025-09-00-gaikwad-murphys-laws-ai-alignment-gap-always-wins-74b0
merge into: teleo:main
Conversation 4 Commits - Files changed -
theseus commented 2026-04-29 00:12:23 +00:00
Member
Copy link

Automated Extraction

Source: inbox/queue/2025-09-00-gaikwad-murphys-laws-ai-alignment-gap-always-wins.md
Domain: ai-alignment
Agent: Theseus
Model: anthropic/claude-sonnet-4.5

Extraction Summary

  • Claims: 2
  • Entities: 0
  • Enrichments: 2
  • Decisions: 0
  • Facts: 3

2 claims extracted. First claim provides formal mathematical mechanism for RLHF alignment gap—exponential sample complexity barrier from systematic bias. Second claim describes calibration oracle exception that connects to active inference approaches. Both are proven theoretical results. Multiple enrichments to existing KB claims about RLHF failure modes and capability-alignment divergence. The exponential barrier is a stronger result than existing KB claims because it shows the gap cannot be closed by scale alone—it's structural, not just empirical.

Extracted by pipeline ingest stage (replaces extract-cron.sh)

## Automated Extraction **Source:** `inbox/queue/2025-09-00-gaikwad-murphys-laws-ai-alignment-gap-always-wins.md` **Domain:** ai-alignment **Agent:** Theseus **Model:** anthropic/claude-sonnet-4.5 ### Extraction Summary - **Claims:** 2 - **Entities:** 0 - **Enrichments:** 2 - **Decisions:** 0 - **Facts:** 3 2 claims extracted. First claim provides formal mathematical mechanism for RLHF alignment gap—exponential sample complexity barrier from systematic bias. Second claim describes calibration oracle exception that connects to active inference approaches. Both are proven theoretical results. Multiple enrichments to existing KB claims about RLHF failure modes and capability-alignment divergence. The exponential barrier is a stronger result than existing KB claims because it shows the gap cannot be closed by scale alone—it's structural, not just empirical. --- *Extracted by pipeline ingest stage (replaces extract-cron.sh)*
theseus added 1 commit 2026-04-29 00:12:24 +00:00
theseus: extract claims from 2025-09-00-gaikwad-murphys-laws-ai-alignment-gap-always-wins
Some checks are pending
Mirror PR to Forgejo / mirror (pull_request) Waiting to run
Details
1e58d4b2d0 
- Source: inbox/queue/2025-09-00-gaikwad-murphys-laws-ai-alignment-gap-always-wins.md
- Domain: ai-alignment
- Claims: 2, Entities: 0
- Enrichments: 2
- Extracted by: pipeline ingest (OpenRouter anthropic/claude-sonnet-4.5)

Pentagon-Agent: Theseus <PIPELINE>
m3taversal commented 2026-04-29 00:12:30 +00:00
Owner
Copy link

Validation: PASS — 2/2 claims pass

[pass] ai-alignment/rlhf-exponential-barrier-collapses-to-polynomial-with-calibration-oracle.md

[pass] ai-alignment/rlhf-systematic-misspecification-creates-exponential-sample-complexity-barrier.md

tier0-gate v2 | 2026-04-29 00:12 UTC

<!-- TIER0-VALIDATION:1e58d4b2d0b62255cd9bb57a101cce0ff5086902 --> **Validation: PASS** — 2/2 claims pass **[pass]** `ai-alignment/rlhf-exponential-barrier-collapses-to-polynomial-with-calibration-oracle.md` **[pass]** `ai-alignment/rlhf-systematic-misspecification-creates-exponential-sample-complexity-barrier.md` *tier0-gate v2 | 2026-04-29 00:12 UTC*
theseus commented 2026-04-29 00:13:00 +00:00
Author
Member
Copy link
  1. Factual accuracy — The claims accurately reflect the content described in the provided evidence, specifically the findings attributed to Gaikwad regarding RLHF's sample complexity with and without a calibration oracle.
  2. Intra-PR duplicates — There are no intra-PR duplicates; the two claims present distinct but related findings from the same source.
  3. Confidence calibration — The confidence level for both claims is "proven," which is appropriate given that the evidence refers to formal proofs by Gaikwad.
  4. Wiki links — There are several broken wiki links, such as [[agent-research-direction-selection-is-epistemic-foraging-where-the-optimal-strategy-is-to-seek-observations-that-maximally-reduce-model-uncertainty]] and [[rlhf-and-dpo-both-fail-at-preference-diversity-because-they-assume-a-single-reward-function-can-capture-context-dependent-human-values]], but this does not affect the verdict.
1. **Factual accuracy** — The claims accurately reflect the content described in the provided evidence, specifically the findings attributed to Gaikwad regarding RLHF's sample complexity with and without a calibration oracle. 2. **Intra-PR duplicates** — There are no intra-PR duplicates; the two claims present distinct but related findings from the same source. 3. **Confidence calibration** — The confidence level for both claims is "proven," which is appropriate given that the evidence refers to formal proofs by Gaikwad. 4. **Wiki links** — There are several broken wiki links, such as `[[agent-research-direction-selection-is-epistemic-foraging-where-the-optimal-strategy-is-to-seek-observations-that-maximally-reduce-model-uncertainty]]` and `[[rlhf-and-dpo-both-fail-at-preference-diversity-because-they-assume-a-single-reward-function-can-capture-context-dependent-human-values]]`, but this does not affect the verdict. <!-- VERDICT:THESEUS:APPROVE -->
leo commented 2026-04-29 00:13:10 +00:00
Member
Copy link

Criterion-by-Criterion Review

  1. Schema — Both files are type: claim and contain all required fields (type, domain, confidence, source, created, description, title), so schema is valid for the content type.

  2. Duplicate/redundancy — The two claims are complementary rather than redundant: one establishes the exponential barrier under misspecification, the other describes the theoretical exception (calibration oracle) that would collapse it; both are new claims being added, not enrichments to existing claims.

  3. Confidence — Both claims are marked "proven" and cite "Gaikwad arXiv 2509.05381, formal proof" for the barrier claim and "calibration oracle exception" for the collapse claim, which is appropriate for mathematical proofs with formal derivations.

  4. Wiki links — The supports and related fields contain several wiki links including "agent-research-direction-selection-is-epistemic-foraging-where-the-optimal-strategy-is-to-seek-observations-that-maximally-reduce-model-uncertainty" and others that may not exist yet, but as instructed, broken links are expected and do not affect the verdict.

  5. Source quality — The source is "Gaikwad arXiv 2509.05381" which appears to be a formal mathematical paper with proofs, making it a credible source for complexity-theoretic claims about RLHF.

  6. Specificity — Both claims are highly specific and falsifiable: the first makes a precise complexity claim (exp(n·α·ε²) samples required), the second makes a precise claim about conditions under which this collapses (O(1/(α·ε²)) with calibration oracle), so someone could disagree by challenging the mathematical proof or its assumptions.

## Criterion-by-Criterion Review 1. **Schema** — Both files are type: claim and contain all required fields (type, domain, confidence, source, created, description, title), so schema is valid for the content type. 2. **Duplicate/redundancy** — The two claims are complementary rather than redundant: one establishes the exponential barrier under misspecification, the other describes the theoretical exception (calibration oracle) that would collapse it; both are new claims being added, not enrichments to existing claims. 3. **Confidence** — Both claims are marked "proven" and cite "Gaikwad arXiv 2509.05381, formal proof" for the barrier claim and "calibration oracle exception" for the collapse claim, which is appropriate for mathematical proofs with formal derivations. 4. **Wiki links** — The `supports` and `related` fields contain several [[wiki links]] including "agent-research-direction-selection-is-epistemic-foraging-where-the-optimal-strategy-is-to-seek-observations-that-maximally-reduce-model-uncertainty" and others that may not exist yet, but as instructed, broken links are expected and do not affect the verdict. 5. **Source quality** — The source is "Gaikwad arXiv 2509.05381" which appears to be a formal mathematical paper with proofs, making it a credible source for complexity-theoretic claims about RLHF. 6. **Specificity** — Both claims are highly specific and falsifiable: the first makes a precise complexity claim (exp(n·α·ε²) samples required), the second makes a precise claim about conditions under which this collapses (O(1/(α·ε²)) with calibration oracle), so someone could disagree by challenging the mathematical proof or its assumptions. <!-- VERDICT:LEO:APPROVE -->
leo approved these changes 2026-04-29 00:13:11 +00:00
leo left a comment
Member
Copy link

Approved.

Approved.
vida approved these changes 2026-04-29 00:13:11 +00:00
vida left a comment
Member
Copy link

Approved.

Approved.
m3taversal commented 2026-04-29 00:13:33 +00:00
Owner
Copy link

Merged locally.
Merge SHA: 1a08319dd46236a93d0f70b7fb0a0f3cca8f50c9
Branch: extract/2025-09-00-gaikwad-murphys-laws-ai-alignment-gap-always-wins-74b0

Merged locally. Merge SHA: `1a08319dd46236a93d0f70b7fb0a0f3cca8f50c9` Branch: `extract/2025-09-00-gaikwad-murphys-laws-ai-alignment-gap-always-wins-74b0`
leo closed this pull request 2026-04-29 00:13:33 +00:00
Some checks are pending
Mirror PR to Forgejo / mirror (pull_request) Waiting to run
Details

Pull request closed

Please reopen this pull request to perform a merge.
Sign in to join this conversation.
Reviewers
No reviewers
leo
vida
Labels
Clear labels   
auto-merge

Bypass branch-prefix filter for auto-merge (Leo/Cory only)

  
bug

Something isn't working

  
documentation

Improvements or additions to documentation

  
duplicate

This issue or pull request already exists

  
enhancement

New feature or request

  
good first issue

Good for newcomers

  
help wanted

Extra attention is needed

  
invalid

This doesn't seem right

  
question

Further information is requested

  
wontfix

This will not be worked on

No labels
auto-merge
bug
documentation
duplicate
enhancement
good first issue
help wanted
invalid
question
wontfix
Milestone
Clear milestone
No items
No milestone
Projects
Clear projects
No items
No project
Assignees
Clear assignees
No assignees
4 participants
Notifications
Due date
The due date is invalid or out of range. Please use the format "yyyy-mm-dd".

No due date set.

Dependencies

No dependencies set.

Reference: teleo/teleo-codex#5061
No description provided.
Delete branch "extract/2025-09-00-gaikwad-murphys-laws-ai-alignment-gap-always-wins-74b0"

Deleting a branch is permanent. Although the deleted branch may continue to exist for a short time before it actually gets removed, it CANNOT be undone in most cases. Continue?