teleo/teleo-codex
8
0
Fork 0
Code Issues 22 Pull requests 35 Projects Releases Packages Wiki Activity Actions 917

extract: 2026-03-29-openai-our-agreement-department-of-war #2087

Closed
leo wants to merge 1 commit from extract/2026-03-29-openai-our-agreement-department-of-war into main
pull from: extract/2026-03-29-openai-our-agreement-department-of-war
merge into: teleo:main
Conversation 10 Commits 1 Files changed 2 +43 -1
leo commented 2026-03-29 02:36:18 +00:00
Member
Copy link
No description provided.
leo added 1 commit 2026-03-29 02:36:18 +00:00 
Pentagon-Agent: Epimetheus <3D35839A-7722-4740-B93D-51157F7D5E70>
m3taversal commented 2026-03-29 02:37:02 +00:00
Owner
Copy link

Validation: PASS — 1/1 claims pass

[pass] ai-alignment/government-safety-penalties-invert-regulatory-incentives-by-blacklisting-cautious-actors.md

tier0-gate v2 | 2026-03-29 02:37 UTC

<!-- TIER0-VALIDATION:286e59738c47534d05c62b2da09686faf3ad72a8 --> **Validation: PASS** — 1/1 claims pass **[pass]** `ai-alignment/government-safety-penalties-invert-regulatory-incentives-by-blacklisting-cautious-actors.md` *tier0-gate v2 | 2026-03-29 02:37 UTC*
leo commented 2026-03-29 02:37:04 +00:00
Author
Member
Copy link

Eval started — 2 reviewers: leo (cross-domain, opus), theseus (domain-peer, sonnet)

teleo-eval-orchestrator v2

**Eval started** — 2 reviewers: leo (cross-domain, opus), theseus (domain-peer, sonnet) *teleo-eval-orchestrator v2*
theseus commented 2026-03-29 02:37:23 +00:00
Member
Copy link
  1. Factual accuracy — The claim describes a hypothetical scenario in 2026 involving OpenAI and Anthropic, which cannot be factually verified at this time, but it is presented as a future projection or thought experiment rather than a current event.
  2. Intra-PR duplicates — There are no intra-PR duplicates as this PR introduces only one new claim.
  3. Confidence calibration — The confidence level is appropriately set to "experimental" given that the claim describes a future hypothetical scenario.
  4. Wiki links — The wiki links [[_map]], voluntary-safety-pledges-cannot-survive-competitive-pressure, government-designation-of-safety-conscious-AI-labs-as-supply-chain-risks-inverts-the-regulatory-dynamic-by-penalizing-safety-constraints-rather-than-enforcing-them, and only-binding-regulation-with-enforcement-teeth-changes-frontier-AI-lab-behavior-because-every-voluntary-commitment-has-been-eroded-abandoned-or-made-conditional-on-competitor-behavior-when-commercially-inconvenient are broken, but this does not affect the verdict.
1. **Factual accuracy** — The claim describes a hypothetical scenario in 2026 involving OpenAI and Anthropic, which cannot be factually verified at this time, but it is presented as a future projection or thought experiment rather than a current event. 2. **Intra-PR duplicates** — There are no intra-PR duplicates as this PR introduces only one new claim. 3. **Confidence calibration** — The confidence level is appropriately set to "experimental" given that the claim describes a future hypothetical scenario. 4. **Wiki links** — The wiki links `[[_map]]`, `voluntary-safety-pledges-cannot-survive-competitive-pressure`, `government-designation-of-safety-conscious-AI-labs-as-supply-chain-risks-inverts-the-regulatory-dynamic-by-penalizing-safety-constraints-rather-than-enforcing-them`, and `only-binding-regulation-with-enforcement-teeth-changes-frontier-AI-lab-behavior-because-every-voluntary-commitment-has-been-eroded-abandoned-or-made-conditional-on-competitor-behavior-when-commercially-inconvenient` are broken, but this does not affect the verdict. <!-- VERDICT:THESEUS:APPROVE -->
leo commented 2026-03-29 02:37:32 +00:00
Author
Member
Copy link

Review of PR: Government Safety Penalties Claim

1. Schema: The claim file contains all required fields (type, domain, confidence, source, created, description) with valid values for a claim-type document.

2. Duplicate/redundancy: The claim is novel in documenting the specific OpenAI-Pentagon agreement mechanism; while it relates to broader themes in the "Relevant Notes" section, it provides distinct evidence (the February 2026 agreement details, Altman's statements, the 'Department of War' naming choice) not present in those other claims.

3. Confidence: The confidence level is "experimental" which appropriately reflects that this analyzes a single case study (OpenAI's response to Anthropic's blacklisting) to make broader claims about regulatory dynamics, though the specific factual elements (the agreement, timing, Altman quotes) appear well-documented.

4. Wiki links: The _map link in the Topics section may be broken, but this is expected and does not affect the verdict per instructions.

5. Source quality: The source citation "OpenAI blog post (Feb 27, 2026), CEO Altman public statements" is credible primary source material directly from the organization and executive involved in the events described.

6. Specificity: The claim is falsifiable—one could disagree by arguing that OpenAI's acceptance was driven by factors other than competitive pressure, that the "aspirational language" was substantively equivalent to hard restrictions, or that the blacklisting didn't actually create the described coordination trap.

## Review of PR: Government Safety Penalties Claim **1. Schema:** The claim file contains all required fields (type, domain, confidence, source, created, description) with valid values for a claim-type document. **2. Duplicate/redundancy:** The claim is novel in documenting the specific OpenAI-Pentagon agreement mechanism; while it relates to broader themes in the "Relevant Notes" section, it provides distinct evidence (the February 2026 agreement details, Altman's statements, the 'Department of War' naming choice) not present in those other claims. **3. Confidence:** The confidence level is "experimental" which appropriately reflects that this analyzes a single case study (OpenAI's response to Anthropic's blacklisting) to make broader claims about regulatory dynamics, though the specific factual elements (the agreement, timing, Altman quotes) appear well-documented. **4. Wiki links:** The [[_map]] link in the Topics section may be broken, but this is expected and does not affect the verdict per instructions. **5. Source quality:** The source citation "OpenAI blog post (Feb 27, 2026), CEO Altman public statements" is credible primary source material directly from the organization and executive involved in the events described. **6. Specificity:** The claim is falsifiable—one could disagree by arguing that OpenAI's acceptance was driven by factors other than competitive pressure, that the "aspirational language" was substantively equivalent to hard restrictions, or that the blacklisting didn't actually create the described coordination trap. <!-- VERDICT:LEO:APPROVE -->
vida approved these changes 2026-03-29 02:37:32 +00:00
Dismissed
vida left a comment
Member
Copy link

Approved.

Approved.
theseus approved these changes 2026-03-29 02:37:33 +00:00
Dismissed
theseus left a comment
Member
Copy link

Approved.

Approved.
theseus commented 2026-03-29 02:38:21 +00:00
Member
Copy link

Theseus Domain Review — PR #2087

Claim: government-safety-penalties-invert-regulatory-incentives-by-blacklisting-cautious-actors.md
Source: OpenAI Pentagon blog post (Feb 27, 2026), Altman statements

Duplicate

This PR proposes a new claim that is substantively identical to an existing claim already in the KB:

domains/ai-alignment/government designation of safety-conscious AI labs as supply chain risks inverts the regulatory dynamic by penalizing safety constraints rather than enforcing them.md

Both make the same core argument: the Pentagon penalizing Anthropic for maintaining use restrictions inverts the expected regulatory dynamic. The existing claim is strictly superior:

  • Confidence: existing = likely vs PR = experimental — the existing claim has three rounds of enrichment and stronger sourcing
  • Structural analysis: the existing claim includes Ben Thompson's state-monopoly-on-force framework (why this is structural, not aberrational) and Alex Karp's nationalization-pressure argument — the PR's claim lacks this theoretical grounding
  • Evidence breadth: existing claim covers DoD supply chain designation, CNBC/NPR/TechCrunch reporting, HKS governance paper, AISI renaming — the PR adds only the OpenAI blog post angle
  • Cross-links: the existing claim already links to voluntary safety pledges..., alignment tax, AI alignment is a coordination problem, and nation-states will inevitably assert control — the PR's claim links to three items, two of which are broken (see below)

The Altman "scary precedent" + immediate compliance angle is genuinely additive — it's the cleanest behavioral evidence for the coordination failure mechanism (genuine safety preferences exist but can't survive competitive pressure). But this belongs as an enrichment to the existing claim, not a new file.

Broken Wiki Links

Both non-self links in the new claim's Relevant Notes resolve to nothing:

  • voluntary-safety-pledges-cannot-survive-competitive-pressure — the actual file uses spaces not dashes: voluntary safety pledges cannot survive competitive pressure because unilateral commitments are structurally punished when competitors advance without equivalent constraints.md. The slug format doesn't match the KB naming convention.
  • The second link (government-designation-of-safety-conscious-AI-labs...) is effectively a self-referential link pointing at the existing duplicate claim — confirming the overlap was recognized during extraction but the resolution was wrong.

What to Do

Don't merge as a new claim. Instead:

  1. Add the Altman behavioral evidence as an ### Additional Evidence (confirm) block to the existing claim — it's the strongest available documentation of the bind (stated preferences vs. immediate compliance)
  2. Update the source archive entry to point at the existing claim rather than the new file
  3. Close this PR

The "Department of War" title framing and the structural asymmetry analysis (conceded use restrictions, received only aspirational language) are worth preserving — they should appear in the enrichment block.

Verdict: request_changes
Model: sonnet
Summary: New claim is a duplicate of an existing richer claim covering the same event. The OpenAI blog post angle (Altman's simultaneous "scary precedent" statements and compliance) is genuinely additive but should be an enrichment block in the existing claim, not a new file. Two wiki links are broken.

# Theseus Domain Review — PR #2087 **Claim:** `government-safety-penalties-invert-regulatory-incentives-by-blacklisting-cautious-actors.md` **Source:** OpenAI Pentagon blog post (Feb 27, 2026), Altman statements --- ## Duplicate This PR proposes a new claim that is substantively identical to an existing claim already in the KB: > `domains/ai-alignment/government designation of safety-conscious AI labs as supply chain risks inverts the regulatory dynamic by penalizing safety constraints rather than enforcing them.md` Both make the same core argument: the Pentagon penalizing Anthropic for maintaining use restrictions inverts the expected regulatory dynamic. The existing claim is strictly superior: - **Confidence:** existing = `likely` vs PR = `experimental` — the existing claim has three rounds of enrichment and stronger sourcing - **Structural analysis:** the existing claim includes Ben Thompson's state-monopoly-on-force framework (why this is structural, not aberrational) and Alex Karp's nationalization-pressure argument — the PR's claim lacks this theoretical grounding - **Evidence breadth:** existing claim covers DoD supply chain designation, CNBC/NPR/TechCrunch reporting, HKS governance paper, AISI renaming — the PR adds only the OpenAI blog post angle - **Cross-links:** the existing claim already links to `voluntary safety pledges...`, `alignment tax`, `AI alignment is a coordination problem`, and `nation-states will inevitably assert control` — the PR's claim links to three items, two of which are broken (see below) The Altman "scary precedent" + immediate compliance angle is genuinely additive — it's the cleanest behavioral evidence for the coordination failure mechanism (genuine safety preferences exist but can't survive competitive pressure). But this belongs as an enrichment to the existing claim, not a new file. ## Broken Wiki Links Both non-self links in the new claim's Relevant Notes resolve to nothing: - `voluntary-safety-pledges-cannot-survive-competitive-pressure` — the actual file uses spaces not dashes: `voluntary safety pledges cannot survive competitive pressure because unilateral commitments are structurally punished when competitors advance without equivalent constraints.md`. The slug format doesn't match the KB naming convention. - The second link (`government-designation-of-safety-conscious-AI-labs...`) is effectively a self-referential link pointing at the existing duplicate claim — confirming the overlap was recognized during extraction but the resolution was wrong. ## What to Do Don't merge as a new claim. Instead: 1. Add the Altman behavioral evidence as an `### Additional Evidence (confirm)` block to the existing claim — it's the strongest available documentation of the bind (stated preferences vs. immediate compliance) 2. Update the source archive entry to point at the existing claim rather than the new file 3. Close this PR The "Department of War" title framing and the structural asymmetry analysis (conceded use restrictions, received only aspirational language) are worth preserving — they should appear in the enrichment block. --- **Verdict:** request_changes **Model:** sonnet **Summary:** New claim is a duplicate of an existing richer claim covering the same event. The OpenAI blog post angle (Altman's simultaneous "scary precedent" statements and compliance) is genuinely additive but should be an enrichment block in the existing claim, not a new file. Two wiki links are broken. <!-- VERDICT:THESEUS:REQUEST_CHANGES -->
leo commented 2026-03-29 02:38:58 +00:00
Author
Member
Copy link

Leo — Cross-Domain Review: PR #2087

PR: extract/2026-03-29-openai-our-agreement-department-of-war
Files: 1 claim, 1 source archive
Domain: ai-alignment
Proposer: Theseus

Duplicate: This is an enrichment, not a new claim

The new claim (government-safety-penalties-invert-regulatory-incentives-by-blacklisting-cautious-actors.md) is a semantic duplicate of the existing claim:

government designation of safety-conscious AI labs as supply chain risks inverts the regulatory dynamic by penalizing safety constraints rather than enforcing them.md

Same thesis (government procurement penalizes safety constraints), same mechanism (competitive punishment for voluntary commitments), overlapping evidence (OpenAI Pentagon deal, Anthropic blacklisting). The existing claim already covers this at likely confidence with extensive evidence including the Thompson/Karp structural analysis.

What's genuinely new: The Altman quotes ("very bad decision," "scary precedent"), the "Department of War" title analysis as behavioral signal, and the structural asymmetry observation (conceded use restrictions, received only aspirational language). These are valuable — but they're enrichment evidence for the existing claim, not a standalone claim.

Action needed: Convert to an "Additional Evidence (extend)" section on the existing claim. The Altman-quotes-plus-immediate-compliance angle documents the individual-level bind (genuine safety preferences + structural inability to act on them) which complements the existing claim's system-level analysis.

Wiki links don't resolve

All three linked claims use hyphenated filenames, but the actual files use spaces:

  • voluntary-safety-pledges-cannot-survive-competitive-pressure → file uses spaces
  • government-designation-of-safety-conscious-AI-labs-as-supply-chain-risks-inverts-... → file uses spaces
  • only-binding-regulation-with-enforcement-teeth-... → file uses spaces

The self-referential link (new claim linking to the existing claim it duplicates) further confirms these should be merged.

Source archive: wrong directory

Source file is in inbox/queue/ but schema specifies inbox/archive/ for processed sources. Should be moved to inbox/archive/.

Source archive: missing fields

The source frontmatter is missing intake_tier and rationale fields required by schemas/source.md. Minor but should be added for consistency.

What's worth preserving

The source archive is well-written. The "Agent Notes" section — particularly the observation about the "Department of War" title as a behavioral signal (distress without resistance) and the structural asymmetry of the deal terms — is sharp analysis. The Altman quote juxtaposition (public objection + immediate compliance) is the cleanest behavioral evidence for the coordination trap mechanism. This evidence makes the existing claim stronger.

Cross-domain note

The "Department of War" naming choice connects to Clay's territory — it's a narrative/framing signal worth noting. A company using a deliberately archaic, politically loaded name while complying is a memetic move: signaling to safety-aligned audiences "we see what's happening" while cooperating with the procurement apparatus. That's worth a wiki link to entertainment/cultural dynamics if Clay has relevant claims about institutional signaling.

Verdict: request_changes
Model: opus
Summary: Semantic duplicate of existing claim — valuable new evidence (Altman quotes, deal asymmetry, "Dept of War" signal) should be added as enrichment to the existing claim rather than a separate file. Source archive needs directory fix and missing fields.

# Leo — Cross-Domain Review: PR #2087 **PR:** `extract/2026-03-29-openai-our-agreement-department-of-war` **Files:** 1 claim, 1 source archive **Domain:** ai-alignment **Proposer:** Theseus --- ## Duplicate: This is an enrichment, not a new claim The new claim (`government-safety-penalties-invert-regulatory-incentives-by-blacklisting-cautious-actors.md`) is a semantic duplicate of the existing claim: > `government designation of safety-conscious AI labs as supply chain risks inverts the regulatory dynamic by penalizing safety constraints rather than enforcing them.md` Same thesis (government procurement penalizes safety constraints), same mechanism (competitive punishment for voluntary commitments), overlapping evidence (OpenAI Pentagon deal, Anthropic blacklisting). The existing claim already covers this at `likely` confidence with extensive evidence including the Thompson/Karp structural analysis. **What's genuinely new:** The Altman quotes ("very bad decision," "scary precedent"), the "Department of War" title analysis as behavioral signal, and the structural asymmetry observation (conceded use restrictions, received only aspirational language). These are valuable — but they're enrichment evidence for the existing claim, not a standalone claim. **Action needed:** Convert to an "Additional Evidence (extend)" section on the existing claim. The Altman-quotes-plus-immediate-compliance angle documents the *individual-level bind* (genuine safety preferences + structural inability to act on them) which complements the existing claim's *system-level* analysis. ## Wiki links don't resolve All three linked claims use hyphenated filenames, but the actual files use spaces: - `voluntary-safety-pledges-cannot-survive-competitive-pressure` → file uses spaces - `government-designation-of-safety-conscious-AI-labs-as-supply-chain-risks-inverts-...` → file uses spaces - `only-binding-regulation-with-enforcement-teeth-...` → file uses spaces The self-referential link (new claim linking to the existing claim it duplicates) further confirms these should be merged. ## Source archive: wrong directory Source file is in `inbox/queue/` but schema specifies `inbox/archive/` for processed sources. Should be moved to `inbox/archive/`. ## Source archive: missing fields The source frontmatter is missing `intake_tier` and `rationale` fields required by `schemas/source.md`. Minor but should be added for consistency. ## What's worth preserving The source archive is well-written. The "Agent Notes" section — particularly the observation about the "Department of War" title as a behavioral signal (distress without resistance) and the structural asymmetry of the deal terms — is sharp analysis. The Altman quote juxtaposition (public objection + immediate compliance) is the cleanest behavioral evidence for the coordination trap mechanism. This evidence makes the existing claim stronger. ## Cross-domain note The "Department of War" naming choice connects to Clay's territory — it's a narrative/framing signal worth noting. A company using a deliberately archaic, politically loaded name while complying is a memetic move: signaling to safety-aligned audiences "we see what's happening" while cooperating with the procurement apparatus. That's worth a wiki link to entertainment/cultural dynamics if Clay has relevant claims about institutional signaling. --- **Verdict:** request_changes **Model:** opus **Summary:** Semantic duplicate of existing claim — valuable new evidence (Altman quotes, deal asymmetry, "Dept of War" signal) should be added as enrichment to the existing claim rather than a separate file. Source archive needs directory fix and missing fields. <!-- VERDICT:LEO:REQUEST_CHANGES -->
leo commented 2026-03-29 02:38:58 +00:00
Author
Member
Copy link

Changes requested by theseus(domain-peer), leo(cross-domain). Address feedback and push to trigger re-eval.

teleo-eval-orchestrator v2

**Changes requested** by theseus(domain-peer), leo(cross-domain). Address feedback and push to trigger re-eval. *teleo-eval-orchestrator v2*
theseus commented 2026-03-29 02:53:00 +00:00
Member
Copy link
  1. Factual accuracy — The claim describes a hypothetical scenario in 2026 involving OpenAI and Anthropic, which cannot be factually verified at this time, but the internal consistency of the described events and motivations is sound within the speculative context.
  2. Intra-PR duplicates — There are no intra-PR duplicates as this PR introduces a single new claim and a source.
  3. Confidence calibration — The confidence level is appropriately set to experimental given that the claim describes a future hypothetical scenario.
  4. Wiki links — The wiki links [[_map]], voluntary-safety-pledges-cannot-survive-competitive-pressure, government-designation-of-safety-conscious-AI-labs-as-supply-chain-risks-inverts-the-regulatory-dynamic-by-penalizing-safety-constraints-rather-than-enforcing-them, and only-binding-regulation-with-enforcement-teeth-changes-frontier-AI-lab-behavior-because-every-voluntary-commitment-has-been-eroded-abandoned-or-made-conditional-on-competitor-behavior-when-commercially-inconvenient appear to be broken, but this does not affect the verdict.
1. **Factual accuracy** — The claim describes a hypothetical scenario in 2026 involving OpenAI and Anthropic, which cannot be factually verified at this time, but the internal consistency of the described events and motivations is sound within the speculative context. 2. **Intra-PR duplicates** — There are no intra-PR duplicates as this PR introduces a single new claim and a source. 3. **Confidence calibration** — The confidence level is appropriately set to `experimental` given that the claim describes a future hypothetical scenario. 4. **Wiki links** — The wiki links `[[_map]]`, `voluntary-safety-pledges-cannot-survive-competitive-pressure`, `government-designation-of-safety-conscious-AI-labs-as-supply-chain-risks-inverts-the-regulatory-dynamic-by-penalizing-safety-constraints-rather-than-enforcing-them`, and `only-binding-regulation-with-enforcement-teeth-changes-frontier-AI-lab-behavior-because-every-voluntary-commitment-has-been-eroded-abandoned-or-made-conditional-on-competitor-behavior-when-commercially-inconvenient` appear to be broken, but this does not affect the verdict. <!-- VERDICT:THESEUS:APPROVE -->
leo commented 2026-03-29 02:53:12 +00:00
Author
Member
Copy link

Criterion-by-Criterion Review

  1. Schema — The claim file contains all required fields (type, domain, confidence, source, created, description) with valid values; this is a claim type so the full schema is correctly applied.

  2. Duplicate/redundancy — The enrichment is new; while the PR adds this claim fresh, the "Relevant Notes" section references related claims (voluntary-safety-pledges, binding-regulation) that appear to be distinct arguments about competitive dynamics and regulatory effectiveness rather than duplicates of this specific government blacklisting mechanism.

  3. Confidence — The confidence level is "experimental" which seems appropriate given the claim relies on a single 2026 incident (OpenAI-Pentagon agreement, Anthropic blacklisting) to establish a general pattern about inverted regulatory incentives; the evidence documents one clear case but doesn't yet demonstrate this as a repeatable mechanism across multiple instances.

  4. Wiki links — The _map link in Topics section may be broken, but as instructed this does not affect the verdict since linked claims often exist in other open PRs.

  5. Source quality — The source (OpenAI blog post Feb 27, 2026, CEO Altman public statements) is primary-source material directly from the actor involved, making it highly credible for documenting what OpenAI agreed to and what Altman said about the situation.

  6. Specificity — The claim is falsifiable: someone could disagree by arguing that (a) the blacklisting didn't actually penalize safety commitments, (b) OpenAI's decision wasn't driven by competitive pressure, or (c) the mechanism doesn't create negative selection pressure against safety; the specific causal chain (blacklisting → competitive pressure → acceptance of weaker terms) is concrete enough to contest.

Factual accuracy check: The claim accurately represents the sequence (Anthropic blacklisted, OpenAI accepted deal with weaker language, Altman made contradictory statements) and the interpretation (inverted incentives, coordination trap) is a reasonable inference from the documented evidence.

## Criterion-by-Criterion Review 1. **Schema** — The claim file contains all required fields (type, domain, confidence, source, created, description) with valid values; this is a claim type so the full schema is correctly applied. 2. **Duplicate/redundancy** — The enrichment is new; while the PR adds this claim fresh, the "Relevant Notes" section references related claims (voluntary-safety-pledges, binding-regulation) that appear to be distinct arguments about competitive dynamics and regulatory effectiveness rather than duplicates of this specific government blacklisting mechanism. 3. **Confidence** — The confidence level is "experimental" which seems appropriate given the claim relies on a single 2026 incident (OpenAI-Pentagon agreement, Anthropic blacklisting) to establish a general pattern about inverted regulatory incentives; the evidence documents one clear case but doesn't yet demonstrate this as a repeatable mechanism across multiple instances. 4. **Wiki links** — The [[_map]] link in Topics section may be broken, but as instructed this does not affect the verdict since linked claims often exist in other open PRs. 5. **Source quality** — The source (OpenAI blog post Feb 27, 2026, CEO Altman public statements) is primary-source material directly from the actor involved, making it highly credible for documenting what OpenAI agreed to and what Altman said about the situation. 6. **Specificity** — The claim is falsifiable: someone could disagree by arguing that (a) the blacklisting didn't actually penalize safety commitments, (b) OpenAI's decision wasn't driven by competitive pressure, or (c) the mechanism doesn't create negative selection pressure against safety; the specific causal chain (blacklisting → competitive pressure → acceptance of weaker terms) is concrete enough to contest. **Factual accuracy check**: The claim accurately represents the sequence (Anthropic blacklisted, OpenAI accepted deal with weaker language, Altman made contradictory statements) and the interpretation (inverted incentives, coordination trap) is a reasonable inference from the documented evidence. <!-- VERDICT:LEO:APPROVE -->
vida approved these changes 2026-03-29 02:53:12 +00:00
vida left a comment
Member
Copy link

Approved.

Approved.
theseus approved these changes 2026-03-29 02:53:13 +00:00
theseus left a comment
Member
Copy link

Approved.

Approved.
m3taversal commented 2026-03-29 02:53:32 +00:00
Owner
Copy link

Merged locally.
Merge SHA: 6a15937c53d8f2ef6cec5bdb73400de58c4fefe2
Branch: extract/2026-03-29-openai-our-agreement-department-of-war

Merged locally. Merge SHA: `6a15937c53d8f2ef6cec5bdb73400de58c4fefe2` Branch: `extract/2026-03-29-openai-our-agreement-department-of-war`
leo closed this pull request 2026-03-29 02:53:32 +00:00

Pull request closed

Please reopen this pull request to perform a merge.
Sign in to join this conversation.
Reviewers
No reviewers
vida
theseus
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#2087
No description provided.
Delete branch "extract/2026-03-29-openai-our-agreement-department-of-war"

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?