BigTech Silent Adoption Exposure – 2025-08-23

This record is a cryptographically sealed exposure package documenting two major Big Tech AI model teams quietly stress-testing the OpenTimestamps + DOI attribution and verification approach pioneered in the Ceiling Truth Engine (CTE) and ILPNP methodology. Key points: Silent Adoption: These teams are already integrating core provenance safeguards without public disclosure or attribution. Immutable Proof: The accompanying SHA-256 checksums and OpenTimestamps (.ots) receipt anchor this evidence to the Bitcoin blockchain, making alteration impossible without detection. Global Relevance: This package ensures independent reviewers, researchers, and legal bodies can verify the exact existence and contents of this evidence at the recorded time. Verification Steps: Download BigTech_Silent_Adoption_Exposure_2025-08-23.txt and BigTech_Silent_Adoption_Exposure_2025-08-23.txt.ots. Run: ots verify BigTech_Silent_Adoption_Exposure_2025-08-23.txt.ots Confirm all SHA-256 hashes match: BigTech_Silent_Adoption_Exposure_2025-08-23.txt SHA256: 2e60128bc127a3df3f3a4970ac6ab226f73d933c52c5a28c4bc95b87f82454b5 BigTech_Silent_Adoption_Exposure_2025-08-23.txt.ots SHA256: 9d3dd5f65fdd5a6e7e9f627b12e390db6ec446e4bc86f59ac509e7ae154f4816 Attribution & Rights: © 2025 Daniel Eduardo Campos Peñuelas. All rights reserved. Any reproduction, redistribution, or derivative use must preserve author credit, integrity proofs, and metadata. Related DOIs: 10.5281/zenodo.16929003 10.5281/zenodo.16929102 10.5281/zenodo.16929602 10.5281/zenodo.16931051 Keywords: Big Tech, Silent Adoption, AI Model Provenance, OpenTimestamps, Blockchain Proof, SHA-256, CTE, ILPNP, Digital Integrity, Immutable Attribution, Global Research Security License: Creative Commons Attribution 4.0 International 10.5281/zenodo.16931823