Find the original
Open the paper, repository, announcement, or report behind the headline. A discussion post can point to a story without becoming proof of it.
AINewsIQ connects public AI research, releases, and discussions to short briefs with source links, evidence, and caveats. Follow the topics you care about and save what matters. The underlying source trail stays available to everyone.
Discovery tells us what to inspect. The original page is where a claim must be checked. AINewsIQ keeps the source link near the brief and separates what an organization reports from what has been independently established.
Open the paper, repository, announcement, or report behind the headline. A discussion post can point to a story without becoming proof of it.
Read measured results, vendor assertions, baselines, and caveats in context. If independent confirmation is not recorded, we say so.
Use the source trail and visible concerns to decide what to verify next. A source-based abstract is a starting point, not an endorsement.
Automated discovery and AI-assisted briefs can miss context or get details wrong. See our claim-reading method, open the primary link, or send a correction.
Scan current AI developments in the live feed and radar, or search the archive by topic and source.
See the radar →Open a stored abstract, key takeaways, caveats, the original link, and available source relationships. Attention is labeled separately from verification.
How sources are handled →Public reading needs no account. Free accounts can follow topics, save reading across devices, and participate in moderated discussion.
See access options →Follow the AI topics you care about, save signals to revisit, and use the radar’s For you lens to see matches to your followed topics and saved article tags. You can still browse every public signal without an account; personalization changes your view, not the underlying source brief.
An adapter would bring in only approved internal signals or context. AINewsIQ could then relate a public development to a company change, deployed technology, or policy—with a visible reason for that connection. Private items would stay within the organization’s authorized view.
Connect selected internal announcements, architecture decisions, release notes, or approved knowledge sources. Each item would keep its source link, time, and access boundary.
Match public news to an authorized inventory of products, vendors, repositories, and versions. “Relevant to our stack” would show the matching fact and its age.
Use a versioned assessment contract to record scope, evidence, assumptions, unknowns, and review. A security headline alone would never count as proof of your exposure.
These adapters, private assessments, and paid team workflows are being designed; they are not connected to customer systems today. The public source-linked desk is live.
For a technology risk review, the proposed workflow would ask which product and version are deployed, whether the reported weakness applies, what evidence supports exposure, and who approved the assessment. A Living Prompt Contract can preserve that scope and decision history. An OWASP-style likelihood-and-impact method can guide an applicable assessment, while missing deployment facts remain unknown.
Business impact follows the same rule: a cost-saving estimate needs a baseline, units, assumptions, and a source. A news brief should never manufacture a dollar figure.
AINewsIQ is a Triuna Labs project led by Paul Woll. We are building a public reading desk where people can follow AI developments and inspect the source and limitations behind each brief. Questions, corrections, and press inquiries can go to support@triunalabs.com.
Start with one source and one decision. We’ll use your inquiry to discuss fit and scope; it does not create an account or start an integration.