Our editorial mission
Neural Core News reports on artificial intelligence: model launches, research breakthroughs, hardware moves, industry deals, and the policy debates around AI. We aim for clear, casual writing that helps technical and non-technical readers stay current.
How our content is produced
We use a hybrid workflow that combines human editorial direction with large language models for drafting. In practice:
- News candidates are surfaced from public sources (research preprints, official lab blogs, press releases, and reputable technology news outlets).
- Drafts are generated by open-weights large language models running on our own hardware.
- Featured images are generated by an open-source image model running locally. Whenever a third-party photo is used, we credit the source.
- An editor reviews the final piece before publication.
We label coverage as news, analysis, or opinion when relevant.
Sources and citations
We link to primary sources whenever possible. If you believe a claim is incorrect or a citation is missing, please contact us.
Corrections
If we get something wrong, we correct it and add a visible note explaining what changed and when.
Independence and disclosure
Neural Core News is independent. We do not accept paid placements as editorial. Sponsored content, when present, is clearly labeled. We may receive commissions from affiliate links; this never influences coverage.
Privacy and AI training
We do not sell reader data and we do not knowingly train AI systems on identifiable reader information. See our Privacy Policy for details.
Contact the editors
Story tips, corrections, partnerships: contact us.
