Corrections Policy

1. Commitment to Factual Accuracy

At AI Core Updates (https://aicoreupdates.com), our highest editorial priority is accuracy. Because artificial intelligence tools, API pricing, software release versions, and model benchmarks evolve at rapid speed, factual shifts and unintentional errors can occasionally occur. When an error is identified, our policy is to correct it swiftly, thoroughly, and with complete public transparency.

We do not quietly overwrite or "stealth-edit" substantive factual errors. Readers have the right to know when an article has been modified and what information was corrected.

2. Distinguishing Corrections, Updates, and Clarifications

To maintain clear records of changes, we categorize modifications as follows:

• Correction: Applied when published content contained a factual inaccuracy, incorrect pricing calculation, misattributed quote, broken benchmark citation, or erroneous technical specification at the time of publication. A visible correction notice is added to the article.
• Update: Applied when new developments occur after publication (e.g., a vendor announces price reductions, releases an incremental patch, or expands API access to new regions). We update the article body and adjust the "Last updated" timestamp without treating the original text as flawed.
• Clarification: Applied when the original phrasing was factually correct but potentially confusing, ambiguous, or susceptible to misinterpretation. We refine the wording to provide clearer context.

3. Standard Correction Notification Format

When a substantive correction is published, we append a clear notice at the top or bottom of the article following this standard format:

Additionally, the article's structured metadata (JSON-LD dateModified timestamp) is updated to notify search engines and readers of the revision date.

4. Retraction and Unpublishing Policy

In rare situations where an article's foundational premise is proven invalid (e.g., an alleged product launch turns out to be a fraudulent hoax or an academic benchmark was retracted by its authors), we do not silently delete the URL. Doing so creates broken links and confuses readers. Instead, we either:

• Publish a comprehensive retraction notice at the top of the original URL explaining why the report was invalidated; or
• If the URL must be permanently retired, issue a proper HTTP 410 Gone response with X-Robots-Tag: noindex rather than a misleading 200 OK soft-404.

5. How to Submit a Correction Request

We actively encourage developers, researchers, creators, and readers to contact us if they spot an error in any of our articles, comparison tables, or pricing guides.

To help us investigate efficiently, please include:

1. The complete URL of the article in question.
2. The specific paragraph, sentence, table row, or data point containing the suspected error.
3. The correct factual information, accompanied by a link to verifiable primary documentation (such as official release notes, an arXiv preprint, or vendor billing documentation).

6. Investigation & Response Timeline

All correction requests are reviewed directly by our editorial desk within 24 to 48 hours. If our investigation confirms the error, the correction is implemented immediately and logged in our editorial records.