Guides · Updated 5 November 2026
How to check an AI news claim before you share it
AI headlines move fast and often outrun the facts. This is the same checklist our editors run before an item goes into the daily digest, written so anyone can use it in a few minutes.
1. Find the primary source
Most AI stories start from one document: a company blog post, a research paper, a regulator's notice or a court filing. Coverage that does not link to it is a summary of a summary. Search for the original and read at least its first section and its limitations.
If no primary source exists, treat the story as a report, not a fact, and note which outlet is reporting it.
2. Ask who is making the claim
A company describing its own product is a vendor claim. That does not make it false, but it has not been checked by anyone else yet. In our digest we label these as vendor-published.
Independent tests, peer-reviewed papers and reporting with named sources carry more weight. Several outlets repeating the same press release still count as one source.
3. Read benchmark numbers with care
- Check which benchmark was used and whether it measures the task you care about.
- Look for who ran the test. Results run by the vendor are not the same as third-party evaluations.
- Compare like with like: same benchmark version, same settings, models available at the same time.
- Be wary of a single headline score. A model can lead one leaderboard and trail on another.
4. Separate a demo from a launch
Announcements often mix things you can use today with things that are coming later. Look for plain words like available now, rolling out, preview, waitlist or research only. Check which countries and which plans get it.
A video demo shows what worked on that recording. Wait for hands-on reports before treating it as the everyday experience.
5. Check the date and context
Old stories recirculate. Confirm the publish date on the source and whether a later update or correction exists. For policy and legal stories, check whether something is proposed, passed or in force, because those are very different.
6. Watch for AI-generated fakes
Screenshots of posts, fake quotes and edited videos spread quickly around big AI news. Open the account or page the screenshot claims to come from. If you cannot find the original, do not share it as real.
Questions
Is a vendor blog post a reliable source?
It is the authoritative source for what the company says it has released, but not for whether its claims hold up. Treat performance and impact claims as unverified until others test them.
What should I do if I shared something that turned out wrong?
Post a correction in the same place, link the accurate source, and delete or edit the original if the platform allows it.
Sources and further reading
Written by the AI Week Daily editors. Spotted an error? See our corrections policy.