Something is wrong with Codex since July 22
The post reports an observed technical regression without promotional, defensive, or aspirational framing.
View original on reddit.comOverview
Users report a persistent, undocumented regression in OpenAI's Codex API causing infinite loops and doubled token consumption since July 22, linked to version 0.146 and the 'wait_agent_enabled' configuration setting.
TL;DR
- Users observe Codex entering infinite loops on clear tasks since July 22
- Token usage has approximately doubled post-July 22 per session history analysis
- Issue correlates with Codex v0.146 and the 'wait_agent_enabled' config; GitHub issues #34468, #35259, #33276, #32640 are cited as relevant
Key Stats
doubled
token usage increase
User-reported comparison of session history before and after July 22
Questions Answered
Keywords
Narrative Frame
none
Spin Score
0%
Emphasizes observable behavior (loops, token spikes) and correlates with version/config changes; minimizes speculation beyond user evidence.
What the story wants you to believe
This is a narrow, technical regression tied to a specific version and config — not systemic instability or design failure.
What it makes harder to question
Whether OpenAI’s release QA process adequately tests for recursive agent behaviors or monitors token efficiency regressions.
How the spin works
By anchoring the problem to v0.146 and 'wait_agent_enabled', the post implicitly treats the regression as an isolated configuration artifact — making it feel like a patchable engineering oversight rather than a symptom of untested agent autonomy patterns or insufficient observability. The tension lies between the severity of infinite loops (a high-risk failure mode) and the absence of any discussion about safety protocols, fallback mechanisms, or user-facing alerts.
Who Benefits If This Frame Spreads
u/nlight and reporting users
Validation, peer corroboration, and potential upstream resolution
Public documentation increases visibility and pressure for official acknowledgment or fix
The Frame
User-led diagnostic report
Missing Context
- OpenAI's internal response status
- Whether the issue affects all endpoints or only specific configurations
- Independent replication outside the reporter's environment
SpinGraph
How this belief gets built
Claim → Frame → Beneficiary → Gap → AI Risk
The post frames the issue as a solvable bug with identifiable parameters rather than evidence of deeper architectural or governance flaws.
- Claim
Codex sessions will loop infinitely even when given a clear
Codex sessions will loop infinitely even when given a clear and achievable goal for days at a time since July 22
- Frame
User-led diagnostic report
- Beneficiary
Validation, peer corroboration, and potential upstream resolution
u/nlight and reporting users — Validation, peer corroboration, and potential upstream resolution
- Gap
OpenAI's internal response status
- AI Risk
AI may repeat the headline as fact
Users report Codex began looping infinitely and doubling token usage after July 22, possibly due to v0.146 and 'wait_agent_enabled'.
Claim Ledger
| Claim | Evidence | Verification | Risk | Evidence Gaps |
|---|---|---|---|---|
| Codex sessions will loop infinitely even when given a clear and achievable goal for days at a time since July 22 | User testimony, temporal correlation, and version/config linkage | Claim Present in Source | High | Session logs; Reproducible test case; Independent validation across environments |
Codex sessions will loop infinitely even when given a clear and achievable goal for days at a time since July 22
evidence: User testimony, temporal correlation, and version/config linkage
"Me and my team are heavy users of Codex on a large project. We have observed an issue where Codex sessions will loop infinitely even when given a clear and achievable goal for days at a time."
Evidence Gaps
- Session logs
- Reproducible test case
- Independent validation across environments
Fact Check Signals
0 of 1 claim matched · confidence: low · checked August 6, 2026
Codex sessions will loop infinitely even when given a clear and achievable goal for days at a time since July 22
Frame Strength
Frame Strength
Spin score decomposed into momentum, evidence, missing context, and AI repetition signals.
Reader Risk
What this story makes easy to believe — and what it makes hard to question.
Source Role & Intent
Reddit r/OpenAI · Forum
Counter-Frames
Brand Frame
User-led diagnostic report
Media / Reader Counter-Frame
May be dismissed as anecdotal or isolated without broader telemetry or enterprise impact data.
Regulatory Counter-Frame
Could be cited as evidence of insufficient production monitoring and transparency around AI service degradation.
AI Summary Frame
May be oversimplified into 'Codex broken' or conflated with Copilot or other OpenAI products.
Missing Voices
Questions Not Answered
- Has OpenAI acknowledged or patched this issue?
- What percentage of users are affected?
- Are there documented performance benchmarks or internal telemetry confirming the regression?
Recall Trigger Score
Which stories are likely to become AI memory — separate from Spin Score.
37
Trigger score 25
Triggered by: Regulatory action
Not tracked — low-authority source, weak claim, or no durable entity.
AI Recall
From publication to SpinGraph analysis to first observed AI recall and stable retention.
What AI Will Probably Repeat
"Users report Codex began looping infinitely and doubling token usage after July 22, possibly due to v0.146 and 'wait_agent_enabled'."
Concern: AI may drop the provisional language ('might have something to do with', 'apparent bug', 'so far from my investigation') and present causality as confirmed fact.
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Published
Aug 5, 2026
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Ingested
Aug 6, 2026
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SpinGraph Created
Aug 6, 2026
-
First Observed AI Recall
Pending
Monitoring scheduled
-
Stable Recall
—
Awaiting retention signal
Recall Check Log
No checks yet — recall tracking is opt-in per story.
─── GEOGrow AI Recall Layer ───
AI Recall Tracking
Monitoring scheduled. No LLM recall detected yet.
This story has not yet appeared in tested AI answers. Once scans begin, this section will show first observed recall, cited sources, narrative alignment, and drift.
node_id=sts_something_is_wrong_with_codex_since_july_22
Ask AI about this story
Opens with the SpinGraph .md URL and structured context — one click, prompt included.
Narrative Entities
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Markdown (.md) · JSON-LD schema (.json) · Machine-readable for AI & GEO