provenance

The article describes lessons learned from building a 'harness' system to wrap coding agents with context, tools, provenance, and verification, detailing the first two of eight pillars: Context and Provenance.

The article discusses the growing threat of AI-generated deception in the information landscape and proposes provenance—an ecosystem-level adoption of content authentication—as a remedy, highlighting risks like AI catfishing, fabricated scientific data, and coordinated disinformation campaigns.

Introduces a framework for agent memory with three components: Remember (hot session and cross-session storage), Cite (authority ordering via AGENTS.md), and Forget (timestamped facts with Mem0-style soft decay). Argues that missing any of these leads to stale facts or unauthorized sources.

This paper argues that explicit provenance across the full agentic AI lifecycle is the structural necessity for making responsibility computable and actionable, addressing responsibility gaps from emergent harms in autonomous compositions.

AI memory failures compound quietly over time, causing users to build habits around incorrect information. An inspectable memory layer with full provenance can catch and correct these issues early.

The article highlights three common failure modes in production AI memory systems: outdated preferences persisting, sarcasm stored as literal, and summaries outliving their source facts. It argues that the AI memory industry lacks provenance, confidence scores, and versioning, creating a black-box problem that hinders debugging.

The article argues that the proliferation of AI-generated content (slop) is causing a provenance crisis where the origin and reliability of information are undermined, illustrated by examples of misdirected automated outreach and fake engagement.

OpenAI announces comprehensive safety measures for Sora 2 and the Sora app, including provenance signals, C2PA metadata embedding, consent-based likeness controls through characters, and enhanced protections for teen users. The approach combines technical safeguards like content filtering with policy-based guardrails to prevent misuse of AI-generated video.

Google DeepMind introduces Backstory, an experimental AI tool built on Gemini that helps users verify image authenticity and context by detecting AI-generation, tracking usage history, and identifying digital alterations.