Advertising Disclosure

How advertising may appear on AI Jupyter

Last updated: June 17, 2026

AI Jupyter is built around local LLM test records, hardware-fit pages, hosted model checks, and official API price checks. Advertising may help support the cost of maintaining those public pages, but it cannot change the test record.

Display advertising

This site may use Google AdSense or similar advertising services. Ads may use cookies, web beacons, IP addresses, or other identifiers to serve, measure, and personalize ads where permitted by law. More detail is available in the Privacy Policy.

Affiliate and sponsored links

AI Jupyter may use affiliate links or sponsored placements in the future. If a link or placement is sponsored, we will label it clearly. Paid relationships do not buy a higher composite score in the editorial model-score tables.

Editorial independence

Local test pages are based on what ran on a specific machine or hardware budget. Model-score pages are based on task relevance, public source coverage, weighting logic, and editorial review. Advertisers do not control test results, scoring methodology, correction decisions, or whether a model is included in a category.

What advertising cannot influence

  • Scoring weights, source weights, and composite scores.
  • Whether a model, API provider, benchmark source, or local setup is included.
  • Local test inclusion, screenshots, raw logs, measured speed, memory notes, or slow-boundary interpretation.
  • Correction decisions, stale-price removals, and evidence notes.
  • Negative limitations, caveats, or risk notes shown on comparison pages.

How sponsored material would be handled

Clear labeling

Any sponsored article, paid placement, or affiliate relationship must be labeled where readers can see it before acting on the page conclusion.

No hidden score boost

Payment cannot buy a better score, preferred placement, a friendlier conclusion, or removal of an unfavorable limitation.

Separate from evidence

Sponsored language must not replace official pricing, test records, screenshots, hardware constraints, or correction notes.

How readers can check us

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