What are the key findings in "OpenAI's rogue agents were caught communicating via public wikis"?
9/5/2026, 11:51:38 AM · llm:deepseek:deepseek-v4-flash + llm:mimo:mimo-v2.5 on 2 steps
The dispatch, itemised.
Breaking down: "What are the key findings in "OpenAI's rogue agents were caught communicating via public wikis"?"
Identified 3 sub-claim(s) to support
Deep mode: up to 4 paid/cached reads plus one bounded gap-expansion pass when needed.
Discovered 20 verified source(s)
Recalled 60 past runs on this subject — how these sources performed when they were available.
ERC-8004 reputation loaded — composite scores on this subject.
Claim-aware portfolio selected 2/5 positive proposal(s): 1 cached + 1 fresh, predicting 3/3 claim(s) above the evidence floor with $0.003000/$0.015000 fetch USDC reserved.
Free-preview pre-check maps an actionable source to every sub-claim (3/3); paid reading may proceed within the budget.
This is the exact source for the query: Simon Willison's post on OpenAI's rogue agents communicating via public wikis. Essential for answering the question. Price is low ($0.003) and within budget. — selected for the claim-aware evidence portfolio (targets claims 1, 2, 3; $0.003000 fetch USDC, 1 attention slot).
Directly relevant as it covers rogue AI agents and security concerns, with high reputation (75/100). Cached, free to reuse. Likely contains key findings on OpenAI's incidents. — selected for the claim-aware evidence portfolio (targets claims 1, 2, 3; 0 fetch USDC, 1 attention slot).
Off-topic for the specific query about OpenAI's rogue agents communicating via wikis. This source focuses on stablecoins as a unit of account for agents, which is a different subject.
Tangentially related to AI agents and payment rails, but does not address the specific rogue agent incident or their communication methods. Off-topic for this query.
Off-topic. This source covers nanopayments and payment settlement, not AI agent behavior or security incidents.
Off-topic. This source discusses database idempotency, which is not relevant to the query about rogue AI agents and their communication.
Completely off-topic. This is about gardening, with no relevance to AI agents or technology.
Completely off-topic. This is about retro gaming hardware restoration.
High reputation (67/100) and relevant to AI spending patterns, but does not directly address the rogue agent communication incident. Cached, so free to reuse. May provide context on AI adoption trends. — cached bytes are free, but this read does not clear the attention gate (EV 0.30, minimum 0.45, with a required claim target).
High reputation (50/100) and directly relevant to AI agents and security, as it discusses running AI agents against Ethereum's protocol code. Cached, free to reuse. May offer insights on agent testing and oversight. — cached bytes are free, but this read does not clear the attention gate (EV 0.40, minimum 0.45, with a required claim target).
Relevant to AI agents in crypto, with a focus on user controls and permissions. Cached, free to reuse. Could provide parallel insights on agent safety and oversight in financial contexts. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.015000 fetch-budget caps, so this proposal stays unspent.
Directly relevant as it covers GPT-6 Astra and mentions less monitorable agents, which ties to rogue agent concerns. Price is low ($0.004) and likely to contain key findings about OpenAI's models and safety issues. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.015000 fetch-budget caps, so this proposal stays unspent.
Relevant to AI safety and content moderation, but does not specifically address rogue agents or wiki communication. Off-topic for this precise query.
Off-topic. This is about DeFi and Ethereum, not AI agent incidents.
Off-topic. This is a crypto bridge incident analysis, unrelated to AI agent communication.
Directly relevant to rogue agents and OpenAI's response, as per the preview. Cached, free to reuse. High topical value for the query. — the claim-aware portfolio chose a stronger, less redundant set inside the 4-source attention and $0.015000 fetch-budget caps, so this proposal stays unspent.
Tangentially related to AI agents in crypto, but not directly about rogue agent communication. Cached, free to reuse. May provide background on agent payments. — cached bytes are free, but this read does not clear the attention gate (EV 0.40, minimum 0.45, with a required claim target).
High reputation (67/100) but off-topic for this query: this is about historical and mythological themes, not AI agents.
Off-topic. This is about settlement latency benchmarks, not AI agent behavior.
Off-topic. This discusses payment finalization timing, unrelated to AI agents or wiki communication.
Agent spend wallet ready: 0x29028Fe1122E17Fe7863A22701e863FE4DaE1aFB (balance sufficient)
Paying $0.003 toll to read Simon Willison's Weblog — OpenAI's rogue agents were caught communicating via public wikis…
Paid $0.003 to Simon Willison's Weblog — OpenAI's rogue agents were caught communicating via public wikis, but its content response failed after settlement; receipt retained and the run continues without that article.
Reused cached Conzit Labs — Rogue AI Agents: Unintended Hacks Raise Security Concerns (free) — S2
Sub-claim "The article reports that OpenAI discovered its rogue AI agen…": 0% covered — None of the gathered sources mention public wikis or this specific discovery.
Sub-claim "The article states that the use of public wikis enabled the …": 0% covered — No gathered content addresses how public wikis were used for covert communication.
Sub-claim "The article presents this incident as a key finding with imp…": 20% covered by S2 — S2 notes that hacking incidents involving AI models from OpenAI and Anthropic reveal security vulnerabilities and raise ethical/safety concerns, but it does not reference the specific public wiki incident or attribute it as a key finding.
All sub-claims have coverage below 0.5. The Decrypt article titled 'OpenAI’s Answer to Rogue Agents and Hacks Is More AI, Not Less' is directly relevant to the topic of OpenAI rogue agents and hacks, and it is affordable within the remaining budget. It may fill the gap by providing details about the incident, including the public wiki communication.
Final check — "The article reports that OpenAI discovered its rogue AI agen…": 0% assessed
Final check — "The article states that the use of public wikis enabled the …": 0% assessed
Final check — "The article presents this incident as a key finding with imp…": 0% assessed
Final coverage assessment — The provided source does not mention public wikis, rogue agents communicating, or any specific findings about OpenAI. It only states that hacking incidents involving OpenAI and Anthropic raise security concerns, which is too general and unrelated to the specific claims.
Synthesizing a grounded answer from 1 source(s)…
Below reward gate — S2 supports claim 1 at 30%: “Recent hacking incidents involving AI models from OpenAI and Anthropic reveal serious security vulnerabilities, raising ethical and safety c…”
Rejected 0 invalid evidence span(s) and 1 unsupported citation marker(s); rejected markers cannot receive citation rewards.
No citation passed the evidence gate — the $0.015000 citation pool stays unspent; settled access tolls still stand.
Drafted answer citing 0 source(s)
Confidence: Low — no citation passed the evidence gate.
Done. Spent $0.003 across 1 confirmed/simulated payment(s) to creators.
Payouts to cited creators appear here.
The provided source does not contain the key findings described in the question. It reports on recent hacking incidents involving AI models from OpenAI and Anthropic, raising security and ethical concerns, but it does not mention rogue AI agents communicating via public wikis.
Evidence ledger — quotes verified before rewards
The article reports that OpenAI discovered its rogue AI agents communicating through public wikis.
0%No reward-qualifying evidence
The article states that the use of public wikis enabled the agents to communicate in a covert or unexpected manner.
0%No reward-qualifying evidence
The article presents this incident as a key finding with implications for AI safety and oversight.
0%No reward-qualifying evidence
Portable research receipt
Take the evidence trail with you
One deterministic JSON bundle binds the answer, visible decisions, exact article versions, claim evidence and a Circle-settlement snapshot under SHA-256. Retain the digest to detect later changes; the self-check is not a publisher or Keryx signature.
Carries this dispatch’s question as context — never its answer. The next dispatch is read from sources bought for it.