Research Note
Prelaunch AI Claim Evidence Ladder
Treat each model statement as an atomic claim. Give it one current evidence state: rumor, attributed report, controlled preview, publisher announcement, released document
Prelaunch AI Claim Evidence Ladder
Treat each model statement as an atomic claim. Give it one current evidence state: rumor, attributed report, controlled preview, publisher announcement, released documentation, accessible artifact, independent evaluation, or observed deployment.
A higher state does not prove every part of a claim. A released model card can establish the publisher's artifact description but not the reader's workload performance. A downloadable checkpoint can establish access but not unrestricted rights. A demo can show one prepared path but not reliability.
Every claim record needs a source, publication date, observation date, product and version, geography or account scope, uncertainty, next verification event, and correction history.
Sources
Follow the evidence.
- Introducing Llama 3.1ai.meta.com
- tensorflow.org: recommendation systemstensorflow.org
- ai.meta.com: the llama 3 herd of modelsai.meta.com
- csrc.nist.gov: finalcsrc.nist.gov
- tensorflow.org: Retrievaltensorflow.org
- NIST AI Risk Management Frameworknist.gov
- github.com: MODEL CARDgithub.com
- open.spotify.com: 5xmE0hYheRvBOoqaQCyUokopen.spotify.com
- NIST AI Resource Centerairc.nist.gov
- Meta Llama models repositorygithub.com
- nist.gov: 7 tips keep your smart home safer and more private nist cybersecuritynist.gov
- youtu.be: J2I1fJW1sB4youtu.be
- etsi.org: 2457 etsi releases new guidelines to enhance cyber security for consumer iot devicesetsi.org
- github.com: USE POLICYgithub.com
- elastic.co: search rank evalelastic.co
- daltonanderson.ghost.io: metas ai power play llama 3 smart reel searchdaltonanderson.ghost.io
- tensorflow.org: basic retrievaltensorflow.org
- github.com: LICENSEgithub.com