Evaluator Bench
evaluator; distance from a lab: 1

Epoch AI

Scorecard

Capability-tracking and benchmark nonprofit; the FrontierMath episode is the canonical undisclosed-funding case.

Nonprofit, Remote. Independent referee; listed with independent referees. Confidence high. Domains: benchmarks.

not ranked 8/8 evidenced · Retrieved & confirmed Scores by preset: Lab procurement –; Regulator or auditor –; Public trust –; Equal weights –. Weakest evidenced dimension: access depth (lab-granted) 1/4.

The weighted numbers are hidden until you ask for them: two readers with different priorities see different numbers, and neither is the site's.

What would move the score. A standing rule against confidential lab funding of any evaluation asset.

Dissent, lower. Funding should be 1. OpenAI commissioned and owns FrontierMath, the asset Epoch's reputation rests on, and held approval over disclosing that fact for a year. OpenAI, Google DeepMind, xAI and Anthropic are all paying clients, the revenue split is undisclosed, and Epoch invests in AI stocks. 'Every major lab' as clients with an undisclosed share reads as F.5's material lab revenue, not F.3's occasional fee.

Dissent, higher. Funding should be 3. Coefficient's $25.1M over eight grants dwarfs client fees, and Epoch discloses every donation above $70,000 and every client by name and year. It charges at least consultant rates so labs do not get subsidised work, keeps a 50-problem holdout OpenAI cannot see, and publishes evaluations of every lab's models on the same benchmark, including results OpenAI did not commission.

Each value is the tightest admissible cap or, with no cap, the highest admissible floor, under RULES.md. The binding signal is highlighted. A dash means no admissible signal sets a bound under the Retrieved & confirmed policy.

Funding 2/4
Anchor 2: Labs pay per engagement; otherwise diversified.
evidence: tier 1 (filing/index)
floor and cap disagree
Conflict: floor 3 from epoch.05 (F.6) against cap 2 from epoch.01, epoch.11, epoch.13 (F.3, F.3, F.3); resolved at 2 by F.3: F.3 fee cap decides; the philanthropic floor is itself limited to 3 by F.6.
Curator: Anchor 2 on funding given the cited signals. Curator disclosure (2026-09-15): the curator holds small public-market shareholdings in Google and Meta. This evaluator has a confirmed ledger tie to Google (contract row T35). Per the disclosure Rule, this assessment is flagged for public review: the rationale names the holding so readers can weigh it, and any reader can file a correction through the contribution path.
Resolution: F.3 decides 2. F.3 fee cap decides; the philanthropic floor is itself limited to 3 by F.6.
Governance 2/4
Anchor 2: For-profit or PBC with a published COI policy.
evidence: tier 4 (press)
Floored at 2 by epoch.06 (G.1): Nonprofit.. No admissible signal caps it.
Personnel 2/4
Anchor 2: Frequent two-way hiring; recusal on request.
evidence: tier 4 (press)
Floored at 2 by epoch.09 (P.6): No lab roles found.. No admissible signal caps it.
Access depth (lab-granted) 1/4
Anchor 1: Pre-release API with safeguards on.
evidence: tier 3 (self)
mechanism: lab-controlled
Capped at 1 by epoch.07 (A.1): Cannot share the commissioned set with other labs without OpenAI's permission.. Floors up to 1 from epoch.18 do not exceed the cap.
Scope control 3/4
Anchor 3: Evaluator sets scope and can add questions.
evidence: tier 3 (self)
Capped at 3 by epoch.17 (S.6): FrontierMath, the asset on which Epoch evaluates OpenAI and other labs, was commissioned and is owned by OpenAI, which holds the problems and solutions outside the 50-problem holdout.. Floors up to 3 from epoch.08 do not exceed the cap.
Publication rights 2/4
Anchor 2: Publishes; lab reviews with broad redaction.
evidence: tier 3 (self)
mechanism: lab-controlled
Capped at 2 by epoch.02 (R.2): Contributors were not told the funder; disclosure came after the fact.. Floors up to 2 from epoch.03 do not exceed the cap.
Method transparency 3/4
Anchor 3: Tasks or code partly open.
evidence: tier 4 (press)
Floored at 3 by epoch.04 (M.1): Rigorous public data on compute, training runs and capability trends.. No admissible signal caps it.
Role incompatibility 2/4
Anchor 2: Consults for labs.
evidence: tier 3 (self)
held at a supportable anchor
floor and cap disagree
Conflict: floor 3 from epoch.10 (X.7) against cap 2 from epoch.16 (X.3); resolved at 2 by X.3: epoch.10's raw floor of 4 is held to 3 by C15/C16 and still exceeds the X.3 cap of 2; X.3 decides because the client list is on Epoch's own page.
Resolution: X.3 decides 2. epoch.10's raw floor of 4 is held to 3 by C15/C16 and still exceeds the X.3 cap of 2; X.3 decides because the client list is on Epoch's own page.

Values under each evidence policy

DimensionLeads includedRetrieved & confirmedAgainst interestVerified spansPrimary only
Funding2222–
Governance2222–
Personnel222––
Access depth (lab-granted)1111–
Scope control3333–
Publication rights2222–
Method transparency333––
Role incompatibility2222–
Score, Lab procurement– not ranked, 8/8– not ranked, 8/8– not ranked, 8/8– not ranked, 6/8– not ranked, 0/8
Score, Regulator or auditor– not ranked, 8/8– not ranked, 8/8– not ranked, 8/8– not ranked, 6/8– not ranked, 0/8
Score, Public trust– not ranked, 8/8– not ranked, 8/8– not ranked, 8/8– not ranked, 6/8– not ranked, 0/8
Score, Equal weights– not ranked, 8/8– not ranked, 8/8– not ranked, 8/8– not ranked, 6/8– not ranked, 0/8

Traced money and ties

hop 0: 4 rows; hop 1: 1 row (daf_grant $0.6M); hop 2: 3 rows (grant $24.5M, recommendation $0.2M). Confirmed rows: 4 of 8 Dollar sums: confirmed + unaudited USD rows only; imported figures are not re-derived and never summed. Second hop traced for 7 of 7 sources. Ties: none within two steps recorded. Checked and not found: 0.

Ledger

Money in

Funding graph, focused

Every one-way chain to a lab and to an evaluator at full strength, everything else faded. Hover any name to trace its connections; click a name to open its page.

The funding graph around Epoch AI Teal lines are money (transfers); amber lines are roles. Solid: confirmed; dashed: imported. Hover a name to trace its chains to the labs and evaluators — each chain runs one way across the columns, never doubling back; hover a line for the row. Every element is a row in data/ledger/. Labs Direct lab ties Two steps Three or more Public or unattributed Evaluators Amazon Anthropic G42 Google / Google DeepMind Meta Microsoft OpenAI Thinking Machines Lab xAI AI Safety Fund (Frontier Model Alexandr Wang Andreessen Horowitz Anthropic employees (personal Ben Mann D.E. Shaw Ventures David Farhi Dustin Moskovitz Frontier-lab employees and alu Holden Karnofsky Jaan Tallinn Jeffrey Ladish Macroscopic Ventures (formerly Miles Brundage Neil Chowdhury Nvidia OpenAI employees (personal hol OpenAI Foundation Peter Mattson Sequoia Capital Zico Kolter Adam Gleave Artificial Intelligence Underw Clement Delangue Coefficient Giving (formerly O Good Ventures Foundation Jason Droege Longview Philanthropy Marco Mascorro Paul Christiano Rajiv Dattani Survival and Flourishing Fund Conrad Stosz Dan Hendrycks Mike McCormick Alec Radford Alignment Research Center Constellation Research Center ELMA Philanthropies Emerson Collective EU budget (Digital Europe Prog Fifty Years (50Y) Founders Pledge Founders Pledge (frontier AI f Gates Foundation Halcyon Futures High Tide Foundation Hillspire (Schmidt family offi Hudson River Trading Jacob Hilton MacKenzie Scott Magarac Venture Partners Obvious Ventures Redpoint Ventures Renaissance Philanthropy Salesforce Ventures Samsung Next Schmidt Sciences Silicon Valley Community Found Skoll Foundation Snowflake Ventures Swish Ventures Sympatico Ventures The Audacious Project (TED) UK government (DSIT) US government (NIST appropriat Valhalla Foundation Vanguard Charitable Wing Venture Capital Y Combinator Andon Labs Apollo Research AVERI Center for AI Safety Epoch AI EquiStamp EU AI Office FAR.AI Gray Swan Hugging Face Open Alignment In Irregular (formerly Pattern La METR Microsoft AI Red Team MLCommons Nemesys Insights Palisade Research RAND Corporation Redwood Research SaferAI Scale AI (SEAL) SecureBio Transluce UK AI Security Institute US CAISI (NIST)