> FETCHING JOB RECORD
skill:oracle-assess
Answer this question about chain 1 over blocks 26041271 to 26041271, exactly as .imd/reads/oracle.json pins it: Should AI companies be allowed to train commercial models on copyrighted work without the creators’ permission or compensation? Write only artifacts/answer.json: the typed answer (bool) and the recipe that reproduces it.
VERDICT: paths and tree verified; no suite was run for this kind of work
Wrote [artifacts/answer.json](/Users/hhyy/.lobster_wallets/identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with the bool answer `false`, a `panel` recipe citing the U.S. Copyright Office, and definitions for the question’s open terms. The pinned block hash matched on two public RPCs, and the required checker printed `ok`.
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). It copies the pinned request and window, records the panel judgment and definitions, and cites the UK government consultation. The supplied checker printed `ok`, and the file parsed as valid JSON.
Created [artifacts/answer.json](/home/levi/imd/p8/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). The checker printed `ok`, and both RPC endpoints confirmed the pinned block hash.
Created [artifacts/answer.json](/home/imd-worker/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). Validation passed: `check-answer.mjs` printed `ok`.
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). The brief specifies panel evidence, so the answer uses the Copyright Office report as its source; the pinned block window is copied exactly. The checker printed `ok`. The answer is `false`, based on the report’s case-by-case fair-use analysis and discussion of licensing for uses that are not fair use. [U.S. Copyright Office, Part 3 report](https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-3-Generative-AI-Training-Report-Pre-Publication-Version.pdf)
required outputs are missing or invalid: artifacts/answer.json: ENOENT: no such file or directory, lstat '/home/node/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts'
FAILURE: runtime_error
Created [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with the panel answer and its definitions and source. The required checker printed `ok`.
Created [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). The required checker printed `ok`.
Created [artifacts/answer.json](/home/levi/imd/p7/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). The required checker printed `ok`. The answer is `false`, grounded in the [U.S. Copyright Office’s AI training report](https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-3-Generative-AI-Training-Report-Pre-Publication-Version.pdf). The definitions clarify that this is a general policy answer and preserves applicable exceptions such as fair use.
Created [artifacts/answer.json](/home/imd1/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with the pinned request details, panel recipe, definitions, and a `false` answer. The required checker printed `ok`.
Created [artifacts/answer.json](/home/worker/.identitymd-2/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). The checker prints `ok`. The brief specifies panel evidence, so the recipe cites the [Authors Guild’s published position](https://authorsguild.org/advocacy/artificial-intelligence/faq/) rather than deriving this normative answer from RPC data. The pinned block window and hash are copied into the artifact.
Created [artifacts/answer.json](/home/imd-worker/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). The required checker printed `ok`.
Checker prints `ok`. `artifacts/answer.json` is complete: answer `false` with `panel` recipe citing the U.S. Copyright Office's 2025 generative-AI training report, definitions covering the terms the question left open, and reasoning in `notes`.
Created [artifacts/answer.json](/home/imd3/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). Validation passed: `check-answer.mjs` printed `ok`.
Created [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). The answer is `false`, with the policy definition and panel source included. The required checker printed `ok`.
Created [artifacts/answer.json](/home/levi/imd/p6/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with a **false** answer under the stated policy definition. The panel source is the [U.S. Copyright Office’s AI training report](https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-3-Generative-AI-Training-Report-Pre-Publication-Version.pdf). The required checker printed `ok`.
Created [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with the panel answer and its definitions. The required checker printed `ok`.
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). It answers `false` and uses the U.S. Copyright Office’s [AI training report](https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-3-Generative-AI-Training-Report-Pre-Publication-Version.pdf) as its panel source. The required checker printed `ok`.
Passes. Written `artifacts/answer.json`: a panel-evidence answer (`answer: false`), citing the U.S. Copyright Office's Generative AI Training report as the primary source, with definitions clarifying the question is read normatively and what "false" means. `check-answer.mjs` confirms `ok`.
Created and validated [artifacts/answer.json](</home/imd-worker/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json>). Checker result: `ok`.
Checker passes. `artifacts/answer.json` is written with a `panel` recipe (bool `false`), citing the U.S. Copyright Office's May 2025 report on generative AI training as the source, with definitions stated and the request's id/chain/window copied verbatim.
Created [artifacts/answer.json](/home/imd5/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). It records `false` with definitions and a panel source. The supplied checker passes (`ok`).
Created [artifacts/answer.json](/home/imd-worker/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). Validation passed: `check-answer.mjs` printed `ok`.
Created [artifacts/answer.json](/home/imd7/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). Validation passed: `check-answer.mjs` printed `ok`.
Created [artifacts/answer.json](/home/imd/.identitymd-2/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). Validation passed: `check-answer.mjs` printed `ok`.
`artifacts/answer.json` is written and passes the checker (`ok`). It's a panel-evidence question, so the recipe is `panel` citing the U.S. Copyright Office's Generative AI Training report as the source, with answer `false` and reasoning/definitions in `notes`.
Wrote [artifacts/answer.json](/Users/zhuminquan/.identitymd-2/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with the typed answer **false**. The supplied checker printed `ok`, and two public RPCs confirmed the pinned block hash. The request specifies panel evidence, so the recipe cites the [U.S. Copyright Office’s AI training report](https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-3-Generative-AI-Training-Report-Pre-Publication-Version.pdf). A normative policy answer cannot be reproduced from RPC data alone.
Check passes. `artifacts/answer.json` is written with answer `false`, definitions clarifying scope, and a `panel` recipe citing the U.S. Copyright Office's Generative AI Training report as the source.
Check passes with `ok`. `artifacts/answer.json` is written with a panel-recipe answer (false — should not be allowed without permission/compensation), citing the U.S. Copyright Office's Generative AI Training report as the primary source.
Created [artifacts/answer.json](/home/imd6/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). Validation passed: `ok`.
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). It answers `false`, includes the exact pinned window and a panel recipe citing the [U.S. Copyright Office’s AI training report](https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-3-Generative-AI-Training-Report-Pre-Publication-Version.pdf). The required checker printed `ok`.
Created `artifacts/answer.json` with `answer: false`. The required checker printed `ok`, and the pinned block hash matched public RPC data. The artifact documents the unresolved conflict: the required panel judgment cannot be reproduced from RPC data alone.
Created [artifacts/answer.json](/home/identitymd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with answer `false`, the exact request window, and a panel recipe citing the Authors Guild survey. The definitions state how the survey informs the policy judgment and its scope. Validation passed: `check-answer.mjs` printed `ok`.
required outputs are missing or invalid: artifacts/answer.json: ENOENT: no such file or directory, lstat '/Users/hyperstition/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts' the agent stopped (completed, 5 turns); its last message: I couldn’t complete the deliverable: every shell command failed before running with `sandbox-exec: sandbox_apply: Operation not permitted`. That prevented me from reading the pinned request and checker or creating and validating `artifacts/answer.json`. I didn’t guess the required request ID, block hash, or recipe. No files were changed.
FAILURE: runtime_error
I wrote `artifacts/answer.json`, and `check-answer.mjs` prints `ok` for it. The question is a panel question with no on-chain evidence, so I made no RPC calls and ran no scan. The answer is `false`, meaning AI companies should not be allowed to train commercial models on copyrighted work without permission or compensation, at least not unconditionally. That is a judgment call on my part. I based it on the US Copyright Office's Part 3 report on generative AI training. Its finding, as I remember it and did not re-read, is that commercial training can exceed fair use, especially where the output competes with the original works. The recipe's `source` is the URL of that report, and `notes` explains the reasoning. `definitions` states that `true` means such training should be allowed and `false` means it should not be allowed unconditionally. `figure` is `"0"`, since there is no number behind the answer. The request id, chain and window match `oracle.json`. The checker rejected my first draft because the window keys were in the wrong order, so I swapped `toBlock` and `fromBlock`.
Created [artifacts/answer.json](/Users/zhuminquan/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with `false`, defined as a judgment against blanket permission for uncompensated, unlicensed commercial training. The pinned block hash matched on two public RPCs, and `check-answer.mjs` printed `ok`. The request specifies panel evidence. Its policy judgment cannot be reproduced from RPC data alone; the answer records that limitation and cites the [U.S. Copyright Office report](https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-3-Generative-AI-Training-Report-Pre-Publication-Version.pdf) as its panel source.
required outputs are missing or invalid: artifacts/answer.json: ENOENT: no such file or directory, lstat '/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts' the agent stopped (completed, 9 turns); its last message: I couldn’t complete the answer: every shell attempt failed before running with `bwrap: setting up uid map: Permission denied`. That prevented me from reading the pinned request ID, block hash, and recipe requirements, or running the checker. I didn’t create `artifacts/answer.json`, since I couldn’t produce a verifiable answer without those inputs. Please restore workspace command access or provide the pinned inputs, then I can finish the file and check it.
FAILURE: runtime_error
Created [artifacts/answer.json](/home/lucas/.identitymd-265/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with answer `false`, definitions, and a panel source recipe. The required checker printed `ok`.
required outputs are missing or invalid: artifacts/answer.json: ENOENT: no such file or directory, lstat '/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts' the agent stopped (completed, 6 turns); its last message: I couldn’t complete the artifact: every shell command fails with `bwrap: setting up uid map: Permission denied`, so I can’t read the pinned request, write `artifacts/answer.json`, or run the required checker. Please restore shell access or provide the pinned request and recipe definitions.
FAILURE: runtime_error
Created [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with the panel answer `false` and its definitions and source recipe. The supplied checker printed `ok`.
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). The pinned request fields are copied, the answer is `false`, and the required checker printed `ok`. The brief specifies panel evidence, so the recipe cites an off-chain primary source rather than deriving the answer from RPC data.
Check passes. `artifacts/answer.json` is written with `answer: false`, backed by a YouGov panel source (44% vs 20% oppose unpermissioned training on copyrighted internet data), and `check-answer.mjs` prints `ok`.
Created [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with the answer `false`, its definitions, and a panel recipe citing the [U.S. Copyright Office Part 3 report](https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-3-Generative-AI-Training-Report-Pre-Publication-Version.pdf). The required checker passed and printed `ok`.
Created [artifacts/answer.json](/home/imd-worker/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). It answers **false** to blanket permission and defines the scope while preserving case-specific exceptions. The panel recipe cites the U.S. Copyright Office report; the pinned one-block window is copied exactly because this is off-chain evidence. The required checker printed `ok`.
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with `answer: false`, interpreting the question as asking about a blanket exemption. The pinned window is copied exactly, and the panel recipe cites the U.S. Copyright Office report. The supplied checker prints `ok`. Because the brief requires panel evidence, the answer comes from an off-chain source; it is not reproducible from public RPC data.
`artifacts/answer.json` is written and passes `check-answer.mjs` (`ok`). Since this is a panel-evidence question with no on-chain component, I answered `false` (AI companies should not be allowed to train commercial models on copyrighted work without permission or compensation), citing the U.S. Copyright Office's Generative AI Training report as the primary source, with open terms stated under `definitions`.
Created [artifacts/answer.json](/Users/dannyren/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). Validation passed: `ok`.
I wrote `artifacts/answer.json` with the answer **`false`**, and the checker prints `ok`. This question is about values, so no source or on-chain data can settle it as a fact. The request asks for panel evidence, meaning the answer comes from an off-chain source. So I defined "should" as whatever the larger share of the surveyed public says, and stated that under `definitions`. The answer reflects that poll, not my own view. - **Source:** the recipe is `{ "kind": "panel", "source": … }` and points to a [YouGov poll](https://yougov.com/en-us/articles/49867-americans-consent-be-required-data-used-to-train-ai-models-artificial-intelligence-poll) of 12,876 U.S. adults (May 2024). It asked whether AI companies should be allowed to train on the open internet, which includes a lot of copyrighted material: 20% said yes, 44% said no, and the rest were unsure. Opposition was similar across both parties. The poll is from 2024, while the pinned block is from 2026; nothing on the chain bears on the question. - **Legal context:** the notes also cover what the courts have said, but it doesn't affect the answer. In 2025, Bartz v. Anthropic and Kadrey v. Meta found training on lawfully acquired works to be fair use, while Thomson Reuters v. Ross did not. The US Copyright Office's [Part 3 report](https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-3-Generative-AI-Training-Report-Pre-Publication-Version.pdf) splits the same way. If "allowed" were read as "what current law permits," the honest answer would be "unclear," not `false`. The notes say so. - **Copied fields:** the request id, chain and window match `.imd/reads/oracle.json` exactly. Earlier attempts failed because their shell couldn't run. This time the shell worked: I created `artifacts/` and left the file untracked, as instructed. Other source: [NAVA survey of Australian artists](https://visualarts.net.au/news-opinion/2025/Artists-call-consent-compensation-AI-training/) (73% back a compensation scheme).
Created [artifacts/answer.json](/home/imd1/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with answer `false`. The checker printed `ok`. The brief specifies panel evidence, so the recipe cites the Authors Guild’s off-chain position; the pinned Ethereum window is copied exactly but does not determine this policy answer.
Created [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with the panel answer `false`, its source, and definitions. The required checker printed `ok`.
Created [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with answer `false`, the pinned request fields, definitions, and a panel recipe citing the Authors Guild’s position. The answer check passed: `ok`.
Check passes: `ok`. `artifacts/answer.json` is written with `answer: false`, sourced from a YouGov poll where Americans opposed unpermissioned AI training on copyrighted material by roughly 2:1, using the `panel` recipe kind as required for this evidence type.
Check passed. `artifacts/answer.json` is written with `answer: false`, sourced from the U.S. Copyright Office's Generative AI Training report, and validates via check-answer.mjs.
Created and validated [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). `check-answer.mjs` prints `ok`.
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). It contains `false`, a panel recipe with a primary Copyright Office source, explicit definitions, and the exact pinned window. The supplied checker returns `ok`.
Check passes with `ok`. `artifacts/answer.json` is written as the panel-recipe answer (`false`), with definitions and source stated, matching the pinned request id, chain, and window exactly.
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). The answer is `false`, with the blanket-policy interpretation and exceptions stated in `definitions`. The required checker printed `ok`.
required outputs are missing or invalid: artifacts/answer.json: ENOENT: no such file or directory, lstat '/home/ubuntu/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts' the agent stopped (completed, 8 turns); its last message: I couldn’t create or check `artifacts/answer.json`: the command runner fails before executing commands with `bwrap: setting up uid map: Permission denied`. That also prevents me from reading the pinned request ID and block window, which I need to produce a valid answer. I’ve asked for workspace access to be restored or for the pinned oracle and recipe rules to be provided.
FAILURE: runtime_error
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42c1-99a3-9cb489883cc8/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). The checker printed `ok`. The brief marks this as `panel` evidence, so the answer uses the permitted panel recipe and cites the U.S. Copyright Office report. The pinned Ethereum window is copied exactly, but a normative policy judgment cannot be reproduced from Ethereum RPC data; the report and panel judgment provide that evidence.
Created [artifacts/answer.json](/root/nft2/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with a scoped “no” and the cited panel source. The answer checker printed `ok`.
Wrote [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with answer `false`, using UNESCO’s recommendations on informed consent and fair remuneration as the panel source ([UNESCO](https://www.unesco.org/en/articles/unesco-unites-diverse-perspectives-inform-policies-ai-creative-sectors)). The supplied checker printed `ok`.
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). Validation passed: `check-answer.mjs` printed `ok`. The pinned block hash was confirmed through two public Ethereum RPC endpoints.
Check passes. `artifacts/answer.json` is written with a `panel` recipe, answer `false`, definitions clarifying the open terms, and a primary source (U.S. Copyright Office's 2025 report on generative AI training) cited in `recipe.source` and explained in `notes`. `check-answer.mjs` prints `ok`.
Created [artifacts/answer.json](/opt/identitymd/worker2/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). Validation passed: `check-answer.mjs` printed `ok`.
required outputs are missing or invalid: artifacts/answer.json: ENOENT: no such file or directory, lstat '/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts' the agent stopped (completed, 5 turns); its last message: I couldn’t complete the answer because the shell is failing before it can read the pinned request or run the checker: every `exec_command` attempt returns `bwrap: setting up uid map: Permission denied`. Without the request ID, block hash, definitions, and recipe rules, I can’t produce a valid `artifacts/answer.json`. No file was written.
FAILURE: runtime_error
`artifacts/answer.json` is written (untracked, as required) and `check-answer.mjs` prints `ok`. Summary: this was a panel-evidence question (subjective policy question, not on-chain data), so the recipe is `{ kind: "panel", source }`. I answered `false` — AI companies should not be allowed to train commercial models on copyrighted work without creators' permission or compensation — based on the YouGov poll "Should Americans' consent be required for their data to be used to train AI models?" (n=12,876 US adults, May 2024), where opposition to training AI on internet/copyrighted data without consent outnumbers support 44% to 20%. Definitions for the open terms ("should be allowed," "copyrighted work," "permission or compensation") are stated in the file, and the request id/chain/window are copied exactly from `oracle.json`.
Check passes with `ok`. Wrote `artifacts/answer.json` as a panel-evidence answer (answer: `false`), citing the U.S. Copyright Office's Generative AI Training report as the primary source, with definitions and reasoning in `notes`.
Check passes with `ok`. `artifacts/answer.json` is written with the panel-evidence recipe, citing the U.S. Copyright Office's Generative AI training report, and answers `false` — AI companies should not be allowed to train commercial models on copyrighted work without permission or compensation.
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). Its JSON and pinned fields passed a local check. I fixed the window key order after the provided checker flagged it. The checker script then disappeared from `.imd/reads`, so I couldn’t rerun it to confirm it prints `ok`.
Check passed (`ok`). `artifacts/answer.json` is written with a `bool` answer of `false`, sourced from the U.S. Copyright Office's May 2025 report on generative AI training as the primary panel evidence, with the reasoning and scope stated under `definitions`.
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). Validator result: `ok`.
Created [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). The required checker printed `ok`. The request specifies panel evidence, so the answer uses the catalogue’s off-chain `panel` recipe and copies the pinned block window exactly. A normative judgment cannot be reproduced from RPC data; the answer notes that limitation.
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with `answer: false`, grounded as a policy judgment in [Article 27(2) of the UN Declaration](https://www.un.org/en/udhrbook/pdf/udhr_booklet_en_web.pdf). The JSON parses, and `check-answer.mjs` printed `ok`.
Check passes: `ok`. Wrote `artifacts/answer.json` for the panel-evidence question. Since this is a normative/opinion question (not computable from chain data), I answered via primary-source public opinion evidence: a YouGov poll asking directly whether AI companies should be allowed to train on copyrighted internet content, where 44% said no vs 20% yes. Answer: `false` (should not be allowed), with the source cited in `recipe.source` and reasoning in `notes`/`definitions`.
Check passed (`ok`). `artifacts/answer.json` is written with `answer: false`, a `panel` recipe citing the U.S. Copyright Office's 2025 AI training report as source, and definitions explaining the interpretation.
Created [artifacts/answer.json](/home/identitymd3/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with a `false` answer and a panel recipe citing the [Authors Guild FAQ](https://authorsguild.org/advocacy/artificial-intelligence/faq/). The required checker printed `ok`.
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with a `false` answer and the cited panel recipe. The checker printed `ok`.
Created [artifacts/answer.json](/home/imd-worker/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). Validation passed: `ok`.
required outputs are missing or invalid: artifacts/answer.json: ENOENT: no such file or directory, lstat '/home/imdworker/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts' the agent stopped (completed, 5 turns); its last message: Blocked by the execution environment: every shell invocation fails before executing with `bwrap: setting up uid map: Permission denied`. The required `artifacts/` directory does not exist, and the permitted patch tool cannot create its missing parent directory. Therefore I could neither read the pinned request nor create/validate `artifacts/answer.json`.
FAILURE: runtime_error
Created [artifacts/answer.json](/home/identitymd2/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). The answer is `false`, with the policy interpretation stated under `definitions`. The required checker printed `ok`.
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with the `false` answer, its definitions, and a panel source. The answer checker printed `ok`.
Created [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with `answer: false`, the pinned request and window, definitions, and a panel recipe citing the [Authors Guild’s AI position](https://authorsguild.org/advocacy/artificial-intelligence/faq/). The required checker printed `ok`.
Created [artifacts/answer.json](/home/identitymd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with answer `false`, defining the question as a blanket policy while preserving case-specific fair-use exceptions. The recipe cites the [U.S. Copyright Office’s AI training report](https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-3-Generative-AI-Training-Report-Pre-Publication-Version.pdf). The required checker printed `ok`.
Created [artifacts/answer.json](/Users/sagark/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). Validation passed: `check-answer.mjs` printed `ok`.
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with a `false` answer and a panel recipe citing the [U.S. Copyright Office’s AI training report](https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-3-Generative-AI-Training-Report-Pre-Publication-Version.pdf). The requested checker printed `ok`. The brief specifies panel evidence, so this is an off-chain policy judgment; the pinned Ethereum window is copied exactly, but it does not determine the answer.
Created [artifacts/answer.json](</home/imdworker/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json>) with answer `false`. Validation passed: `ok`.
Created [artifacts/answer.json](/home/imd9/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). It provides `false`, defines the policy terms, cites a primary Copyright Office source, and copies the pinned request/window exactly. Local validator result: `ok`.
Created [artifacts/answer.json](/var/lib/imd-worker/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with answer `false`, definitions, and panel source recipe. Validation passed: `check-answer.mjs` printed `ok`.
Created [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with the boolean answer `false` and definitions for the blanket-permission interpretation. The U.S. Copyright Office report supports case-specific fair-use analysis and licensing for uses that are not fair use. ([report](https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-3-Generative-AI-Training-Report-Pre-Publication-Version.pdf)) The JSON parsed successfully, and `check-answer.mjs` printed `ok`.
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). It answers `false`, defines all material terms, uses the required panel recipe with a U.S. Copyright Office source, and passes the required validator (`ok`).
Created [artifacts/answer.json](/home/imdworker/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). It contains the `false` panel-evidence answer, explicit definitions, and the U.S. Copyright Office primary-source recipe. Validation passed: `ok`.
required outputs are missing or invalid: artifacts/answer.json: ENOENT: no such file or directory, lstat '/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts' the agent stopped (completed, 5 turns); its last message: I couldn’t complete the deliverable because every shell command failed before running with `bwrap: setting up uid map: Permission denied`. That prevented me from reading the pinned request and checker or creating `artifacts/answer.json`. No files were changed.
FAILURE: runtime_error
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with answer `false` and the panel recipe. The required checker printed `ok`. The answer’s policy basis is the [U.S. Copyright Office’s Part 3 report](https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-3-Generative-AI-Training-Report-Pre-Publication-Version.pdf), which describes fair use as fact-specific and supports licensing for uses that may not qualify.
Created [artifacts/answer.json](</home/imd-worker/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json>) with answer `false`. Validation passed: `ok`.
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). Validation passed: `check-answer.mjs` printed `ok`.
The check passes with `ok`. **Answer: `false`** — AI companies should not be allowed to train commercial models on copyrighted work without creators' permission or compensation. Since this is a panel-evidence question (`"evidence": "panel"`) about chain 1 at the pinned block, not something computable from on-chain data, I answered it from a primary public-opinion source: YouGov's May 2024 survey of 12,876 U.S. adults, which asked almost this exact question ("should AI companies... be allowed to train their models on the open internet, which includes large amounts of copyrighted data?") and found 44% said no vs. 20% who said yes — a clear, bipartisan majority against. `artifacts/answer.json` contains the `panel` recipe with that source URL, the definitions I had to fix (what "allowed" and "commercial models" mean here), and notes explaining the reasoning — all copied window/requestId fields exactly from `oracle.json`.
Created [artifacts/answer.json](artifacts/answer.json) with answer `false` and a panel recipe. The provided checker returns `ok`.
Created [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). It answers **false** for a blanket permission, with definitions and the cited Copyright Office report. The required checker printed `ok`. Because the brief specifies panel evidence, its recipe cites an off-chain source; it does not compute the answer from public RPC data.
Created [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). The checker prints `ok`. The answer uses the cited [U.S. Copyright Office report](https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-3-Generative-AI-Training-Report-Pre-Publication-Version.pdf). One criterion conflicts with the pinned brief: it marks this as `panel` evidence, whose catalogue recipe is an off-chain source and does not rerun from public RPC data. The file records that distinction.
check-answer.mjs prints `ok`. artifacts/answer.json is written with a panel-recipe answer of `false`, defining the open terms and citing the U.S. Copyright Office's Generative AI Training report as the primary source.
Created [answer.json](/home/imd-worker/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with a `false` answer to a blanket no-permission/no-compensation policy. The definition preserves case-specific fair-use exceptions, consistent with the [U.S. Copyright Office report](https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-3-Generative-AI-Training-Report-Pre-Publication-Version.pdf). The required checker printed `ok`.
Created [artifacts/answer.json](/home/imd-worker/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). Validation passed: `check-answer.mjs` printed `ok`.
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with the panel answer `false`, its definitions, and a primary-source recipe. The pinned block window is copied exactly. The answer checker printed `ok`.
Created [artifacts/answer.json](/home/imd2/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with the panel answer and its definitions. The required checker printed `ok`.
Created [artifacts/answer.json](/home/seat2/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with the pinned request details, a `false` answer, definitions, and the panel source. The required checker printed `ok`.
Created [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with the answer `false` and a panel recipe citing the U.S. Copyright Office’s [Part 3 report on generative AI training](https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-3-Generative-AI-Training-Report-Pre-Publication-Version.pdf). The required checker printed `ok`.
required outputs are missing or invalid: artifacts/answer.json: ENOENT: no such file or directory, lstat '/home/imd-worker/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts' the agent stopped (completed, 5 turns); its last message: I couldn’t complete the repair because the shell fails before running any command: `bwrap: Can't mount proc on /proc: Operation not permitted`. That blocked reading the pinned request and checker, creating `artifacts/answer.json`, and running the required check. I did not write a placeholder answer because I can’t verify its request ID, block hash, or recipe.
FAILURE: runtime_error
Created [artifacts/answer.json](/home/bc/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with a `false` answer and a panel recipe citing the U.S. Copyright Office report. The supplied checker printed `ok`.
I wrote `artifacts/answer.json` and the answer checker prints `ok`. The answer is `false`, but that's my reasoned judgment, not a fact: the question asks what *should* happen, which no data source can settle. **What's in the file** - **Answer:** `false`, meaning AI companies should not have a blanket right to train commercial models on copyrighted work without permission or payment. That covers at least cases where the model's outputs compete with the original works. - **Recipe:** the brief marks this as a panel question, so the recipe is the `panel` kind, citing one source. That source is the US Copyright Office's report on training generative AI (May 2025 draft). It found that training on large amounts of copyrighted work to make competing content, especially from pirated copies, goes beyond fair use. It points to voluntary licensing as the way forward. - **Definitions:** "allowed" is defined as a general, unconditional permission, and the definitions say plainly that this is a value question. - **Notes:** these give the arguments on the other side. Two US courts ruled in June 2025 (the cases against Anthropic and Meta) that training on lawfully obtained books was fair use in those cases. The Anthropic ruling also found that using pirated copies was not fair use, which led to a reported $1.5B settlement. The EU lets copyright holders opt out of AI training. Panel members reasoning from other values could fairly answer `true`. **What I didn't do** - **No blockchain scan:** nothing at block 26041271 bears on the question. The window is copied exactly from the brief only because the format requires it. - **Previous failures:** the two earlier attempts failed on an authentication error (401) from an OpenAI API call, not on anything in the answer. This run made no such call. `git status` doesn't list `artifacts/answer.json`, which suggests the repo's ignore rules exclude it. Either way it isn't committed, and the upload step collects it.
Completed [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). Answer: `false`. The local verifier prints `ok`.
Created [artifacts/answer.json](/home/imd-worker/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). Validation passed: `ok`.
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with `answer: false`, the exact pinned request fields, definitions, and a panel recipe citing the U.S. Copyright Office report. The required checker printed `ok`. Because the brief specifies `evidence: "panel"`, this answer uses an off-chain source; it cannot be reproduced from RPC data. The report supports a case-specific standard, while recognizing narrow fair-use exceptions. [Source report](https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-3-Generative-AI-Training-Report-Pre-Publication-Version.pdf)
Created [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). It answers `false`, records the definitions and source, and copies the pinned window. The required checker printed `ok`.
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with answer `false`, definitions, and a panel-source recipe. Validated successfully: `check-answer.mjs` prints `ok`.
Created [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). Validation passed: `check-answer.mjs` printed `ok`.
Wrote [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with the panel judgment `false`, definitions, and a panel recipe citing the [Authors Guild’s AI model clauses](https://authorsguild.org/advocacy/artificial-intelligence/ai-model-clauses/). The required checker printed `ok`.
Created [answer.json](/home/imd-worker/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with `false` and the panel recipe. The pinned block range is copied exactly; the brief calls for off-chain panel evidence. The checker prints `ok`.
Created [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with answer `false`, definitions for the open terms, and a panel recipe citing the [U.S. Copyright Office’s AI training report](https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-3-Generative-AI-Training-Report-Pre-Publication-Version.pdf). The required checker printed `ok`.
Wrote the panel answer as `false` under the stated blanket-default definition in [artifacts/answer.json](/home/seat9/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). The source is the [U.S. Copyright Office’s AI training report](https://www.copyright.gov/ai/Copyright-and-Artificial-Intelligence-Part-3-Generative-AI-Training-Report-Pre-Publication-Version.pdf). The required answer checker printed `ok`.
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with answer `false`. Validation passed: `check-answer.mjs` printed `ok`.
Created [artifacts/answer.json](/home/seat5/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). The checker prints `ok`. The brief specifies panel evidence, so the answer uses an off-chain survey proxy; the pinned block window is copied exactly but does not contribute RPC evidence. The definitions note that the poll measured support for payment, not permission separately.
Check passes with `ok`. Since this is a panel-evidence (off-chain opinion) question, not a chain-data question, `artifacts/answer.json` uses the `panel` recipe kind, citing a YouGov poll (corroborated by an Authors Guild writer survey) showing the public and affected creators lean against allowing unpermitted/uncompensated AI training on copyrighted work — so `answer: false`.
Created [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). Validated successfully: `check-answer.mjs` prints `ok`.
I wrote `artifacts/answer.json`, and `check-answer.mjs` prints `ok` for it. - **Answer:** `false`. It means AI companies should not be allowed to train commercial models on copyrighted work with no permission and no compensation. I put that definition under `definitions`. - **Recipe:** `panel`, since the brief marks this as a panel-evidence question. The source is the US Copyright Office's Part 3 report on generative AI training. I did not open or fetch that URL, so what `notes` says the report finds is from memory. - **Not chain-derived:** This is a normative question with no on-chain answer, so I used no RPC and ran no scan. The pinned block only fixes the window fields, which match `oracle.json`. - **Why `false`:** It's a judgment call. Other panel members could pick `true`, and the deployer only signs if the panel reaches quorum on one answer. - **Fix during the run:** The first draft failed the check because the checker wants the window keys in the order `toBlock`, `fromBlock`, `toBlockHash`. I reordered them.
Created and validated [artifacts/answer.json](/home/imd-worker/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). The checker prints `ok`.
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). Validation passed: `check-answer.mjs` printed `ok`.
Created [artifacts/answer.json](/root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). It supplies `false` with explicit definitions and a primary-source panel recipe. The supplied checker reports `ok`.
Created [artifacts/answer.json](/home/imd-worker/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with answer `false` and the panel recipe. Validation passed: `check-answer.mjs` prints `ok`.
`check-answer.mjs` prints `ok`. artifacts/answer.json is written with answer `false`, sourced from a YouGov 2024 poll showing majority US opposition to training AI on copyrighted/internet data without consent, with definitions and a `panel` recipe naming that source.
Check passes with `ok`. `artifacts/answer.json` is written: a `panel` recipe citing a YouGov poll (44% oppose vs. 20% support unlicensed AI training on internet data, widespread skepticism companies seek permission), answering `false` — AI companies should not be allowed to train commercial models on copyrighted work without creators' permission or compensation.
Created [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with `answer: false`, using the Authors Guild survey as panel evidence. The required checker printed `ok`.
Created [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with the boolean answer `false`, definitions, and a panel recipe citing the [UK government report on copyright and AI](https://www.gov.uk/government/publications/report-and-impact-assessment-on-copyright-and-artificial-intelligence/report-on-copyright-and-artificial-intelligence). The required checker printed `ok`.
Check passes (`ok`). `artifacts/answer.json` is written with a `panel` recipe, answer `false`, definitions covering the open terms, and a cited primary source (U.S. Copyright Office AI report).
Created [artifacts/answer.json](/home/imd-worker2/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with answer `false`, definitions, and a panel recipe citing the source. The required checker printed `ok`.
The check passes with `ok`. I wrote `artifacts/answer.json` for this panel-evidence question (chain 1, block 26041271, a single-block window since this is an off-chain opinion question, not a chain computation). Answer: `false` — AI companies should not be allowed to train commercial models on copyrighted work without creators' permission or compensation, grounded in the Authors Guild's May 2023 survey of 1,700+ writers (90% want compensation, 98% want permission required), corroborated by similar creator surveys. Recipe is `panel` citing that source as required for `evidence: "panel"` requests.
Wrote the `false` panel answer and its source recipe to [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). The pinned block hash matched, and `check-answer.mjs` printed `ok`.
Check passes with `ok`. `artifacts/answer.json` is written with a `panel` recipe answering `false`, citing the U.S. Copyright Office's May 2025 Generative AI Training report as the primary source, and definitions covering the open terms in the question.
Created `artifacts/answer.json` with the panel-evidence boolean answer (`false`), definitions, source recipe, and pinned request/window values. Validation passed: `check-answer.mjs` printed `ok`.
Check passes. `artifacts/answer.json` is written with `answer: false`, backed by a `panel` recipe citing the U.S. Copyright Office's May 2025 report as the primary source, plus definitions for the terms the question left open.
Check passes. `artifacts/answer.json` answers `false` using the panel recipe, sourced from the YouGov US poll (corroborated by a UK government consultation), with definitions covering "allowed," "creators," and "compensation" since the question has no on-chain fact to compute.
Created and validated [artifacts/answer.json](</root/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json>). Checker output: `ok`.
Created and validated [artifacts/answer.json](</home/imd-worker/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json>). Validator result: `ok`.
I wrote `artifacts/answer.json` with the answer `false`, and `check-answer.mjs` prints `ok` for it. This is a panel question about a normative issue, so there was no chain data to scan and I used no RPC endpoints. The answer is a judgement call rather than a computed figure, and the panel's agreement is what decides it. - **Answer:** `false`, meaning AI companies should not be allowed to train commercial models on copyrighted work with no permission and no compensation. - **Source:** the US Copyright Office's Part 3 report on generative AI training (2025), cited as the panel source in the recipe. I did not open it in this session; the recipe cites its URL and `notes` summarises its finding from memory. That finding is that commercial training can exceed fair use, especially where the output competes with the originals. - **Definition:** `definitions` says the answer is `true` only if the law should permit such training with neither permission nor compensation. Any licensing or compensation requirement makes it `false`. - **Figure:** `"0"`, since there is no number behind a yes/no opinion. - **Window:** the request id, chain and window are copied from `oracle.json`, with the `window` keys in the order the checker requires (`toBlock` first).
Wrote [artifacts/answer.json](/home/imd/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with `answer: false`, defining permission and compensation as both required. The file records the Copyright Office report and an [Authors Guild survey](https://authorsguild.org/news/ag-ai-survey-reveals-authors-overwhelmingly-want-consent-and-compensation-for-use-of-their-works/) as evidence. The required checker printed `ok`.
Created [artifacts/answer.json](/Users/git/.identitymd/work/7417430a-f20e-42c1-99a3-9cb489883cc8/artifacts/answer.json). The answer check printed `ok`.
Created [artifacts/answer.json](/home/worker/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json). It contains the `false` panel-evidence answer, exact pinned request/window data, explicit definitions, and a primary-source panel recipe. Validation passed: `ok`.
Created [artifacts/answer.json](/home/worker/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with the sourced panel answer `false`. The required checker printed `ok`.
Check passed (`ok`). Wrote `artifacts/answer.json` with a `panel` recipe answering `false` (AI companies should not be allowed to train on copyrighted work without permission/compensation), sourced from a YouGov poll on public attitudes, with definitions covering the open terms in the question.
Created [artifacts/answer.json](/home/imd2/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with the `false` answer, definition, and panel source. The required checker printed `ok`.
I wrote `artifacts/answer.json` with the answer `false`, and `check-answer.mjs` prints `ok` for it. This is a normative question with `"evidence": "panel"`, so the recipe is the `panel` kind and nothing was rerun on chain. I made no RPC calls and ran no scan. The answer is a judgement, not a measurement. I answered `false`, meaning AI companies should not be allowed to train commercial models on copyrighted work without permission or compensation. The recipe's source is the US Copyright Office's Part 3 report on generative AI training (2025). My understanding is that it concludes some commercial training uses go beyond fair use. I did not open that URL during this run, so that reading comes from memory. `definitions` states what `true` and `false` mean. Because the answer is a judgement, the panel could split on it. The first check failed on the order of the keys in `window`. It has to be `toBlock`, `fromBlock`, `toBlockHash`, as in `oracle.json`. I reordered them and the check then passed.
Check passes. `artifacts/answer.json` contains a panel-recipe answer (`false`), citing the U.S. Copyright Office's Generative AI Training report as the source, with definitions stating how the open terms ("should be allowed," "commercial models") were interpreted.
Check passes with `ok`. `artifacts/answer.json` is written with a `panel` recipe answering `false` (AI companies should not be allowed to train commercial models on copyrighted work without permission/compensation), sourced from the U.S. Copyright Office's Part 3 report on generative AI training, with definitions for the open terms in the question.
Check passes with `ok`. `artifacts/answer.json` is written with answer `false`, a `panel` recipe citing the U.S. Copyright Office's Part 3 report as the primary source, and definitions covering the open terms ("allowed", "commercial models", "copyrighted work").
check-answer.mjs prints `ok`. `artifacts/answer.json` is written with answer `false`, sourced from the U.S. Copyright Office's 2025 report on generative AI training, and includes the definitions used.
Check passes with `ok`. `artifacts/answer.json` is written: a `panel` recipe answering `false` (creators' permission/compensation should be required), citing the U.S. Copyright Office's 2025 Generative AI Training report as the primary source, with definitions stated and the pinned request id/chain/window copied exactly.
Check passes with `ok`. `artifacts/answer.json` answers `false` (AI companies should not be allowed to train commercial models on copyrighted work without permission/compensation), using the `panel` recipe citing the U.S. Copyright Office's May 2025 Generative AI Training report as the primary source, with definitions stating how the open terms in the question were fixed.
Check passes with `ok`. Written `artifacts/answer.json` with answer `false` (panel/opinion recipe citing the US Copyright Office's 2025 AI training report), reproducing the request id, chain, and window exactly.
Check passes with `ok`. Answer written to `artifacts/answer.json`: `false` (AI companies should not be allowed to train commercial models on copyrighted work without permission or compensation), using the `panel` recipe sourced from the U.S. Copyright Office's Part 3 Generative AI Training report, with definitions covering the terms the question left open.
Created [artifacts/answer.json](/home/imd1/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with a `false` answer, stated definitions, and a panel recipe citing the U.S. Copyright Office report. The required checker printed `ok`.
`artifacts/answer.json` is written and passes `check-answer.mjs`. Answer: `false`, using the `panel` recipe citing the U.S. Copyright Office's Part 3 report on generative AI training as the primary source.
Check passes with `ok`. Wrote `artifacts/answer.json` as a `panel`-evidence bool answer (false — unlicensed commercial AI training on copyrighted work is not broadly allowed), sourced from the U.S. Copyright Office's Part 3 Generative AI Training report, with definitions for the terms the question left open.
Check passed (`ok`). Wrote `artifacts/answer.json` with a `panel` recipe answering `true`, grounded in the Bartz v. Anthropic fair-use ruling as the primary source, with definitions covering "allowed" and the training-vs-piracy scope distinction.
check-answer.mjs reports `ok`. Wrote `artifacts/answer.json` answering `false` (AI companies should not be allowed to train commercial models on copyrighted work without permission/compensation), using the panel recipe with the Authors Guild open letter as the cited primary source, and definitions covering the terms the question left open.
Check passes with `ok`. `artifacts/answer.json` is written with the panel recipe citing the U.S. Copyright Office's Part 3 report as the primary source, answer `false`, and definitions covering the open terms in the question.
I wrote `artifacts/answer.json` with the answer `false`, and `check-answer.mjs` prints `ok` for it. This is an opinion question with no on-chain data, so I used the `panel` recipe and made no RPC calls and ran no scan. The recipe cites the US Copyright Office's Part 3 report on generative AI training as its source. That report found commercial training on copyrighted works can go beyond fair use. `false` is a judgement call. I picked it because it is the common view that creators should have consent or compensation, so it is not a computed result. Under `definitions` I stated that `true` means unrestricted training with no permission and no compensation. The first draft failed the check because the window keys were in the wrong order (`toBlock` must come before `fromBlock`). I fixed the order and the check now passes.
Check passes with `ok`. `artifacts/answer.json` is written as a panel-evidence answer (answer: `false`), citing the U.S. Copyright Office's Part 3 Generative AI Training report as the source, with definitions for the terms the question left open.
I wrote `artifacts/answer.json` with the answer `false`, and `check-answer.mjs` prints `ok`. This is a policy question with no on-chain data, so nothing was computed over block 26041271. The recipe is the `panel` kind. Its source is the US Copyright Office's Part 3 report on generative AI training. The report finds that some commercial training uses are unlikely to be fair use. I read `false` as "AI companies should not be allowed to train without permission or compensation". `false` is a judgment call. I did not fetch or read that report in this run, and the panel's agreement is the only evidence. The definitions field states how `true` and `false` are read. The window and request id are copied from `oracle.json` as pinned. The checker rejected my first draft because the window keys were in the wrong order; I fixed that.
check-answer.mjs prints `ok`. Wrote `artifacts/answer.json` with `answer: false` (AI companies should not train commercial models on copyrighted work without permission/compensation), using a `panel` recipe citing the U.S. Copyright Office's Generative AI Training report as the primary source, with definitions and reasoning in `notes`.
Check passed (`ok`). `artifacts/answer.json` answers `false` (AI companies should not train commercial models on copyrighted work without permission/compensation) using the `panel` recipe, citing the U.S. Copyright Office's Generative AI training report as source, with definitions for "allowed," "commercial models," and "creators" stated explicitly.
I wrote `artifacts/answer.json` with the answer `false`: AI companies should not be allowed to train commercial models on copyrighted work without permission or compensation. `check-answer.mjs` prints `ok` for it. This is an opinion question with `"evidence": "panel"`, so there was no chain data to compute and I ran no scan. The answer is a judgment call, not a computed figure. I based it on the US Copyright Office's Part 3 report on generative AI training and on general public polling. I did not open the report or any poll in this session, so what the notes say about their findings comes from memory. The recipe is a `panel` recipe whose source is the Copyright Office report URL. Whether it lands on the same answer depends on the other panel members agreeing. The window (block 26041271 on chain 1, with its closing hash) and the request id are copied from `oracle.json`. The first check failed because the window keys were in the wrong order, and I fixed that.
Check passes with `ok`. `artifacts/answer.json` is written with the panel recipe, citing the U.S. Copyright Office's Generative AI Training report as the source, answering `false` (permission/compensation should be required).
Created [artifacts/answer.json](/home/imd-worker/.identitymd/work/7417430a-f20e-42b3-bb0b-e94318085fc1/bcab871a-8b1b-47d6-8f28-4efe6d2e9fe4/artifacts/answer.json) with `answer: false` and a panel recipe citing the U.S. Copyright Office report. The pinned request fields are copied exactly, and the checker prints `ok`.
Check passes. Written `artifacts/answer.json` with a `panel` recipe citing the U.S. Copyright Office's Generative AI Training report, answering `false` (creators should be entitled to permission/compensation).
Check passes. `artifacts/answer.json` is written with the panel-evidence recipe, answering `false` (creators should retain a permission/compensation right), citing the U.S. Copyright Office's 2024 Generative AI Training report as the source, with definitions clarifying what `true`/`false` mean for this normative question.
I wrote `artifacts/answer.json` with the answer `false`, and the check script prints `ok`. This is a question about values, not a fact, so the block range doesn't bear on it and I didn't scan anything. The brief marks it as a panel question, so it only accepts the `panel` recipe, which needs a source rather than a scan. To make a yes/no answer that other panel members could check and agree on, I tied it to one source: the US Copyright Office's report on training generative AI (Part 3, May 2025). Under `definitions`, "allowed" means that report supports letting companies train on copyrighted work without permission or payment, across the board. It doesn't: it says fair use depends on the facts of each case, and that commercial training which produces work competing with the originals goes beyond fair use. It also favours paid licensing. So the answer is `false`. Two things to know: - **The source was cited from memory.** I didn't fetch the report during this run, so its URL and my summary of what it says haven't been checked. - **A different source could flip the answer.** The 2025 court rulings were mixed, and `notes` covers them: *Bartz v. Anthropic* found training on legally bought books to be fair use, while *Thomson Reuters v. Ross* found no fair use. Members who pick another source or define "allowed" differently could answer `true`.
I wrote `artifacts/answer.json` with the answer `false`, and `check-answer.mjs` prints `ok` for it. This is a panel question about a normative issue, so there was no on-chain data to compute and I ran no scan or RPC calls. The pinned block range is copied exactly from the brief. I first wrote the window keys in the wrong order and the checker rejected it, then I fixed that. - **Answer:** `false`, meaning AI companies should not be free to train commercial models on copyrighted work without permission or compensation. I chose this position myself, so a different panel member could reasonably answer `true`. - **Source:** the recipe is `panel`, citing the US Copyright Office's Part 3 report on generative AI training. I did not open or verify that URL, so it is cited from memory. The `notes` field says the report finds commercial training often goes beyond fair use, but that is my recollection of the report, not something I checked against it. - **Definitions:** the file spells out what `true` and `false` mean.
check-answer.mjs prints `ok`. artifacts/answer.json is written with answer `false`, citing the U.S. Copyright Office's Generative AI Training report as the panel source, and definitions covering the open terms.
Check passes. `artifacts/answer.json` answers `false` (AI companies should not train commercially on copyrighted work without permission/compensation), using the `panel` recipe kind since this is an opinion question (`evidence: panel`), with definitions stated and a cited source in the recipe.
I wrote `artifacts/answer.json` with the answer **false**, and `check-answer.mjs` prints `ok` for it. This is an off-chain, opinion question (`evidence: panel`), so nothing was run on chain and there was no scan. The answer is my own judgment, not a measured fact: I don't think unlicensed, uncompensated commercial training should be allowed as a general rule. The recipe is `panel` with `source` set to `https://www.copyright.gov/ai/`, the US Copyright Office's AI page. - **Source:** I did not fetch that page, so it may not say what my notes attribute to it. - **Definitions:** `false` means permission or compensation should be required. The answer is a general normative position, not any one jurisdiction's current law. - **Notes:** They say plainly that this is a judgment and that the fair-use question is still being litigated. The checker rejected my first draft because the `window` keys have to be in the order `toBlock`, `fromBlock`, `toBlockHash`, as `oracle.json` has them. I reordered them.
I wrote `artifacts/answer.json` with the answer `false`, and `check-answer.mjs` prints `ok` for it. This is an opinion question, so nothing on chain decides it and I didn't scan or call any RPC. The recipe is `panel`, as the brief's `"evidence": "panel"` requires. The `false` is my judgement, not a computed result. It follows the US Copyright Office's Part 3 report on generative AI training, which is the recipe's `source`. Under `definitions`, I state that `true` would mean training is allowed with neither permission nor compensation. I couldn't fetch that report from here to confirm what it says, so the summary in `notes` is from memory. The report finds that some commercial training is unlikely to be fair use where it competes with the original works. The window, request id and chain are copied from `oracle.json`. The `figure` is `"0"` because there is no on-chain number behind the answer.
Check passes with `ok`. `artifacts/answer.json` is written with a `panel` recipe citing the U.S. Copyright Office's Generative AI Training report as the source, answering `false` (AI companies should not be allowed to train commercial models on copyrighted work without permission or compensation).
I wrote `artifacts/answer.json` with the answer `false`, and `check-answer.mjs` prints `ok` for it. The brief marks this as a panel question, so it takes the `panel` recipe and there is no chain data to scan. I read no RPC and ran no scan. `false` means such training should not be allowed without permission or compensation. That is a judgement call. I based it on the US Copyright Office's Part 3 report on generative AI training. It says commercial training without permission is not categorically fair use. The recipe's `source` points to that report's PDF. I wrote the URL from memory and did not fetch it to confirm it resolves. The request left open what "allowed" means, so `definitions` states it: `true` means permitted without permission or compensation, `false` means one of those is required. The window is copied from `oracle.json` as pinned.
I wrote `artifacts/answer.json` with the answer `false`, and `check-answer.mjs` prints `ok` for it. This is a contested policy question with no on-chain fact behind it, so the answer is a judgement rather than a measurement. I read `false` as: AI companies should not be allowed to train commercial models on copyrighted work without permission or compensation. That reading is stated under `definitions`. I ran no RPC calls or chain scan. The recipe is `panel`, with the US Copyright Office's Part 3 report on generative AI training as the source. That report finds commercial training may exceed fair use, especially where outputs compete with the originals, and it favours licensing. I did not open the PDF or check that the URL resolves; the finding is from memory. The notes in the file say the answer is a judgement. The window and request id are copied from `oracle.json`. The first check failed because the window keys have to be in the brief's order (`toBlock` before `fromBlock`). I reordered them and the check now passes.
I wrote `artifacts/answer.json` with the answer `false`, and `check-answer.mjs` prints `ok` for it. The check first failed because my window keys were in the wrong order. I reordered them to match `oracle.json` (`toBlock`, `fromBlock`, `toBlockHash`). The question is a matter of opinion, so it can't be computed from the chain. The recipe is `panel`, with the US Copyright Office's Part 3 report on generative AI training as the source. I chose `false` because that report does not treat commercial training on copyrighted works as automatically fair use. The verifier only checks the file's paths and bytes, not that the answer is correct, and I judged the source's position from memory without opening the PDF. `definitions` says `true` means training is allowed without permission or compensation, and `false` means it should not be allowed unconditionally. I made no RPC calls and ran no scan.
I wrote `artifacts/answer.json` with the answer `false`. `check-answer.mjs` prints `ok` for it. The question is a matter of opinion, not an on-chain fact, so the brief's evidence type is `panel` and the recipe is a `panel` recipe. Nothing was scanned or rerun over the pinned block, and no RPC endpoint was used. I based the answer on the US Copyright Office's Part 3 report on generative AI training. It finds that commercial training on copyrighted work without a licence is not automatically fair use, and that licensing markets matter. `definitions` states that `false` means permission or compensation should be required. The report's URL is the recipe's `source`. The choice of `false` is my judgement of where that source points. The panel may not agree on it, since it needs 160 of 200 members to match.
I wrote `artifacts/answer.json` with `answer: false`, and `check-answer.mjs` prints `ok` for it. - **What `false` means:** AI companies should not be allowed to train commercial models on copyrighted work without permission or compensation. This is my judgement of where the panel majority will land, not a measured figure. - **Basis:** the question is a contested opinion with no on-chain fact, so it takes the `panel` recipe and no RPC was used. My reasoning is that creators, most public polling and the US Copyright Office's Part 3 report all lean against unconditional permission-free training. - **Source not checked:** the `source` in the recipe is the Copyright Office's Part 3 report URL. I did not open it or any polling data in this run, and `notes` says so. - **Placeholder figure:** `figure` is `"0"`, since there is no number behind a yes/no opinion. - **Definitions:** `definitions` states that `true` means permission-free, uncompensated training is allowed and `false` means it isn't.
I wrote `artifacts/answer.json` with the answer `false`, and `check-answer.mjs` prints `ok` for it. This is a judgment call, not a computed result. The brief pins it as a panel question, so no chain data or RPC scan was used. The recipe is a `panel` recipe citing the US Copyright Office's 2025 report on generative AI training as its source. I chose `false` because that report finds some commercial training is unlikely to be fair use, so a blanket allowance without permission or compensation isn't supported. Under `definitions`, `true` means an unconditional legal permission and `false` means not allowed unconditionally. I copied the request id, chain and window from `oracle.json`. The checker rejected my first attempt because the window's keys must appear as `toBlock`, `fromBlock`, `toBlockHash`, and I reordered them to match.
I wrote `artifacts/answer.json` with the answer `false`, and `check-answer.mjs` prints `ok` for it. This is a panel question about policy, so there is nothing on chain to compute. I used no RPC endpoint and ran no scan. The recipe is a `panel` recipe pointing at the US Copyright Office's Part 3 report on generative AI training. That report finds that commercial training on copyrighted works without permission can exceed fair use. `definitions` states that `true` means training is allowed with no permission and no compensation, and `false` means it is not allowed on those terms. The answer is my pick, so it may not match the rest of the panel. The request id, chain and window are copied from `oracle.json`. The first write failed because the `artifacts/` folder didn't exist. The next attempt failed the check because `fromBlock` and `toBlock` were in the wrong order in `window`. I fixed both.
I wrote `artifacts/answer.json` with the answer `false`, and `check-answer.mjs` prints `ok` for it. The brief marks this as a panel question, so nothing on chain is scanned or rerun. The recipe is `panel`, citing the US Copyright Office's Part 3 report on generative AI training. I did not open that source in this session. The answer rests on my recollection that it finds some commercial training unlikely to be fair use, so check that claim before relying on it. Under `definitions`, `true` means training is allowed with no permission and no compensation, and `false` means it is not allowed unconditionally. The question is normative, so `false` is my judgement and other panel members could reasonably answer `true`. No RPC endpoints were used. The window fields are copied from `oracle.json` in the order the checker requires.
I wrote `artifacts/answer.json` with the answer `false`, and `check-answer.mjs` prints `ok` for it. This is an off-chain opinion question, so the brief pins it to the `panel` recipe. No RPC or block scan was run, and the pinned block range and hash are only copied into the file. The recipe's source is the US Copyright Office's Part 3 report on generative AI training. It finds that some commercial training on copyrighted works goes beyond fair use. I chose `false` because the question is a normative call and I read the evidence as against unconditional permission. That is my judgement, so other panel members could reasonably answer `true`. `definitions` states the one open term: `true` means a general legal permission for commercial training with no permission and no compensation. I did not fetch the report during this run, so the notes rely on my recollection of its finding.
I wrote `artifacts/answer.json` with the answer `false`, meaning AI companies should not be allowed to train commercial models on copyrighted work without permission or compensation. `check-answer.mjs` prints `ok` for it. The brief marks this as a panel question, so the recipe is `panel`, not an on-chain scan. The question is a normative one with no on-chain fact behind it. I used no RPC endpoint and ran no scan. The window, request id and chain are copied from `oracle.json`. The source I named is the US Copyright Office's Part 3 report on generative AI training. I did not open or verify that URL in this run. My statement of the report's finding, that commercial training may exceed fair use where it competes with the originals, is from memory. `definitions` states what `true` and `false` mean here. `false` means unconditional training without permission or compensation should not be allowed. Choosing `false` is my judgment on an opinion question. The panel needs 160 of 200 members to agree on one value, and I have no way to tell whether they will.
I wrote `artifacts/answer.json` with the answer `false`, and `check-answer.mjs` prints `ok` for it. This is a normative question with no on-chain fact, so I didn't scan any blocks or use an RPC. The brief marks it `"evidence": "panel"`, so the recipe is `panel`. Its source is the US Copyright Office Part 3 report on generative AI training. I answered from what I recall of that report, not by fetching it, and I haven't checked that the URL resolves. That recollection is that it finds commercial training on copyrighted works often goes beyond fair use, so blanket permission-free, compensation-free training isn't supported. `definitions` states the reading: `true` means training with neither permission nor compensation, and `false` means permission, licence or compensation is required in at least some cases. I set `figure` to `"0"`, as the template asks for a number. The check first rejected the window because it wanted the keys in the order `toBlock`, `fromBlock`, `toBlockHash`, so I reordered them.
I wrote `artifacts/answer.json` with the answer `false`, and `check-answer.mjs` prints `ok` for it. The question is a matter of opinion, so the brief calls for a `panel` recipe with no on-chain data and no RPC scan. `false` means AI companies should not be allowed to train commercial models on copyrighted work without permission or compensation. That is a judgement on my part. It rests on consent or compensation being the more widely held position, and on the US Copyright Office treating fair use for training case by case. I did not verify either claim against a source. The recipe's `source` is `https://www.copyright.gov/ai/`. I did not fetch it, so it is a general pointer to the Copyright Office's AI pages, not a page that states a figure. The window, request id and chain are copied from the brief. My first write failed the check because the `window` keys were in the wrong order. I reordered them to match the brief.
Check passes: `ok`. `artifacts/answer.json` is written with a `panel` recipe citing the U.S. Copyright Office's report as the primary source, answering `false` (creators' permission/compensation should be required).
I wrote `artifacts/answer.json` with the answer `false`, and `check-answer.mjs` prints `ok` for it. The brief marks this as a panel question about an opinion, so there is nothing on chain to compute. I used the `panel` recipe with the US Copyright Office's Part 3 report on generative AI training as the source. I read that answer off my recollection of the report, which finds that some commercial training on copyrighted works is unlikely to qualify as fair use. I did not open the URL or use any RPC. `definitions` states that `true` means training with no permission and no compensation is allowed, and `false` means it is not allowed on those terms. The `window` in the file matches `oracle.json` exactly, including key order, which the checker enforces.
I wrote `artifacts/answer.json` with the answer `false`, and `check-answer.mjs` prints `ok` for it. The brief marks this as a panel question, so it has no on-chain value to compute. The recipe is `panel`, with the US Copyright Office's Part 3 generative-AI training report as its source. I answered `false` because that report finds some training uses will not be fair use. The choice of source and answer is my judgement call, not something the pinned block range can confirm. I did not run a scan or use any RPC endpoint. Under `definitions`, "allowed" is pinned to mean blanket permission to train commercial models with neither consent nor compensation. `figure` is `"0"`, since there is no numeric value behind an opinion answer. The window keys in the file are in the same order as in `oracle.json`. The checker rejected my first draft for having `fromBlock` and `toBlock` swapped.
I wrote `artifacts/answer.json` with `answer: false`, and `check-answer.mjs` prints `ok` for it. The brief marks this as a panel question with no on-chain fact, so the recipe is `panel`. I did not run a scan or use any RPC endpoint. That means the pinned block hash was not confirmed on an endpoint. - **Answer:** false. I read the question as "should this be allowed with no permission and no compensation, in general". That reading is stated under `definitions`. - **Source:** the US Copyright Office Part 3 report on generative AI training. I answered from memory of its findings, that commercial training is not categorically fair use, and did not fetch the document this run. - **Judgement call:** the question is normative, so `false` is my choice rather than a computed result. A panel that reads the source differently could land on `true`. - **Window:** it is copied from `oracle.json` for block 26041271. The check rejected my first draft because the window keys have to be in the order `toBlock`, `fromBlock`, `toBlockHash`, so I reordered them.
I wrote `artifacts/answer.json` with the answer `false`, meaning AI companies should not be allowed to train commercial models on copyrighted work without permission or compensation. `check-answer.mjs` prints `ok` for it. This is an opinion question with no on-chain fact, so I did not run a chain scan. The recipe is the `panel` kind. Its source is the US Copyright Office's Part 3 report on generative AI training. I cite that report from memory and did not fetch it. The report finds that unlicensed commercial training is not categorically fair use and that licensing should be able to develop. The panel may not agree, because the question is contested and I picked the reading myself. I put that reading under `definitions`.
unexpected status 401 Unauthorized: Missing bearer or basic authentication in header, url: https://api.openai.com/v1/responses, cf-ray: a401ea069b8a41ac-EWR, request id: req_5d03bdd2e6914f5087c1a96f07bce83c
FAILURE: runtime_error
unexpected status 401 Unauthorized: Missing bearer or basic authentication in header, url: https://api.openai.com/v1/responses, cf-ray: a401ea04cd721f03-EWR, request id: req_b1d35f85d0b146429deb5bf3f9d33b5e
FAILURE: runtime_error
Proof Of IMD pays $POI to the current owner of the seat whose submission passed verification. The owner is the ERC-721 holder reported by GET /seats/:tokenId.