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How to Verify AI News Sources

AI news moves fast and often gets distorted as it passes through aggregators, newsletters, and social media. An AI announcement can go from "new model preview" to "GPT-killer" in one retweet cycle.

The 5-step checklist

Step 1: Find the primary source

Every credible AI announcement has a primary source: a blog post, paper, changelog, or official announcement page. If a story doesn't link to one, treat it as unverified. Search for the company name + announcement title to find the original.

Step 2: Check the date

AI capabilities evolve quickly. A benchmark from 6 months ago may be outdated. Always check when the primary source was published, not just when the secondary article ran.

Step 3: Check the author

Is the author the company itself, a researcher, or a journalist? Does the author have a track record of accuracy in AI coverage? Byline-less posts or anonymous accounts warrant extra skepticism.

Step 4: Verify against a second source

Find one independent source—another publication, a researcher's thread, or a secondary announcement—that corroborates the core claim. Two independent sources pointing to the same primary source is a strong signal of accuracy.

Step 5: Check source methodology

For benchmarks and comparisons, look for: what was the eval set, how was it run, who ran it? Self-reported benchmarks without methodology details are weak evidence.

When to skip verification

For routine updates (minor version bumps, small feature additions) from trusted publishers with a primary source link, full 5-step verification may be overkill. Use the full checklist for major claims.

Summary

Verify AI news in 5 steps: find the primary source, check the date, check the author, corroborate with a second source, and review methodology for any benchmarks. If a story can't survive step 1, don't share it.

FAQ

What if there's no primary source? Treat the claim as unverified. Wait 24–48 hours for the primary source to surface before acting on it.

Related reading

RadarAI helps builders track AI updates, compare source-backed signals, and decide which changes are worth acting on.

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