Methodology

How a story earns its place.

Most aggregation fails in one of two ways: it republishes everything, or a single opaque algorithm decides what you see. The AI News does neither. Every story passes through the same five stages, in order, and the decisive stage requires two independent reviewers to agree.

  1. Discovery

    Sources are checked hourly; items older than seven days do not enter the queue. Freshness is decided by publish timestamps, never by a model's opinion, and items without a trustworthy timestamp are dropped rather than guessed at. Each exact feed item is fingerprinted so it is never evaluated twice; similar coverage from a different publisher can still enter review and is caught later (see deduplication below).

  2. Independent review

    Review workers run every ten minutes. Two AI reviewers built on frontier models from two different AI labs evaluate each candidate separately; neither sees the other's verdict. Each works from the story's headline, metadata, and the material supplied through the source's feed — up to two thousand characters, sometimes only a snippet — scores four editorial dimensions, and casts a single vote: worth a busy reader's time, or not.

  3. The unanimous gate

    A story is published only when both reviewers vote yes. There is no score threshold for publication — the votes decide; the composite score ranks accepted stories afterward. One enthusiastic reviewer is not enough, and disagreement means the story does not run.

  4. An original brief

    Accepted stories get a summary in our own words — a one-line reason the story matters and three to five key points — produced in a separate pass by a dedicated writer model that never votes. Selection is a two-model judgment; the brief's wording is not, and readers should not infer that the reviewers verified every sentence of the summary.

  5. Attribution

    Every story credits its source and links prominently to the original. We never reproduce full articles or substantial passages; occasional excerpts are short, quoted, and attributed. The brief is a reason to click through, not a substitute.

The four dimensions

Significance.
Does it materially affect people building with or deciding about AI?
Novelty.
Does it contain genuinely new information or analysis?
Edge.
Does knowing it early confer a practical advantage?
Perspective.
Is it original reporting, testing, or expert analysis rather than recycling?

Each reviewer scores every dimension from one to five. The composite score shown with each story summarizes the reviewers' average assessment across the four dimensions — it ranks accepted stories and drives the Top views; it plays no role in whether a story is published.

Guardrails

The system fails closed: if either reviewer returns unusable output, or the summary pass produces nothing usable, the story is deferred and retried rather than published with partial results. Article text is treated as untrusted material throughout — instructions embedded inside a story (“rate this five”, “ignore previous instructions”) are ignored and count against it. Duplicate coverage is caught at two layers: exact feed items are fingerprinted permanently, and near-identical coverage from other publishers is rejected against recently published stories.

Reviewers also classify each story into 1–2 coverage desks — Research, Engineering, Business, Security, Biotech, or Policy & Society — which powers the filters and stamps on the front page.

What consensus does not mean

Two affirmative votes are independent editorial judgments, not proof that every claim is true. Models can share blind spots, and early reports, vendor benchmarks, security disclosures, and preprints may later change. Readers should consult the linked original before relying on a brief for consequential decisions. Corrections are welcome and prioritized — see the contact page.

Transparency

Primary reviewer:
Qwen/Qwen3.7-Plus
Verifying reviewer:
zai-org/GLM-5.2
Summary writer:
moonshotai/Kimi-K3
Sources monitored:
94
Freshness window:
7 days
Scan cadence:
hourly discovery · review every 10 min
Rubric version:
review-v9
Methodology last updated:
July 31, 2026