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Five or fewer confirmed AI changes, with original sources, on mornings when something changed.A free source-linked morning brief.

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The model changes worth your attention

Rank moves, price changes, launches, and one clear decision note. One email every week.

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What arrives

Useful change, not a news firehose

Each issue is built for people choosing, buying, or operating language models.

Rank moves with the evidence attached

See who moved, what changed, and whether the public benchmark coverage supports the move.

Material API price changes

Track pricing that could change a production shortlist, without filling your inbox with every minor update.

Release and availability context

Separate a launch headline from the access limits, evidence gaps, and reasons to wait.

One decision note

Leave with a model to consider, a lower-cost alternative, or a clear reason not to switch yet.

Real sample issue

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This is the editorial content of a sent issue, adapted from email to the web.

Weekly LLM benchmark digest

OpenAI is keeping ZDR. The safety system is moving.

On August 19, OpenAI restated Zero Data Retention for eligible API customers: prompts and responses are not retained after a request, staff do not review that content, and enterprise data is not used for training unless the customer opts in. Frontier models now run longer, multi-turn agentic work, where some risks only emerge across a sequence. OpenAI is previewing Private Safety Processing so ZDR can survive that requirement. For ZDR deployments, content remains on infrastructure the customer controls. OpenAI is also developing customer-controlled-key storage on its infrastructure, with automated systems returning narrow safety signals rather than the underlying prompts or responses.

What it means

The limit

We have not run this system. The public note does not specify eligibility, regional availability, or the exact signal schema. If you already use ZDR, wait for the September details before rewriting the DPA. This kind of policy change also will not appear as a new model ID.

Analysis worth opening

New on BenchLM

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