YouTube Likeness Detection. Google Adds Ask Photos Toggle. Superhuman Disables Expert Review. AI Agent Compromises Lilli.

Show notes

The AI news for March 12th, 2026

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Here are the details of the day's selected top stories:

YouTube: Deepfake protection for politicians and journalists.
Source: https://www.heise.de/news/Youtube-Deepfake-Schutz-fuer-Politiker-und-Journalisten-11206724.html?wt_mc=rss.red.ho.themen.k%C3%BCnstliche+intelligenz.beitrag.beitrag
Why did we choose this article?
YouTube is giving creators, politicians and journalists a built-in tool to find and report deepfakes — a practical step that affects reputation management, misinformation mitigation, and how public figures and newsrooms protect themselves on a major platform.

Google: AI-powered 'Ask Photos' can be easily turned off in the future.
Source: https://www.heise.de/news/Google-KI-gestuetztes-Ask-Photos-kann-kuenftig-einfach-abgeschaltet-werden-11206499.html?wt_mc=rss.red.ho.themen.k%C3%BCnstliche+intelligenz.beitrag.beitrag
Why did we choose this article?
Google Photos will let users toggle off its AI-powered image search, giving everyday users direct control over AI features in a widely used app and addressing privacy/usability complaints.

Grammarly says it will stop using AI to clone experts without permission
Source: https://www.theverge.com/ai-artificial-intelligence/893270/grammarly-ai-expert-review-disabled
Why did we choose this article?
Grammarly has disabled an AI feature that imitated named writers without permission — a concrete change that affects user trust, expert consent, and how AI-driven writing tools present their sources and authority.

An AI agent hacks McKinsey's AI platform Lilli using a vulnerability from the 1990s.
Source: https://the-decoder.de/ein-ki-agent-hackt-mckinseys-ki-plattform-lilli-mit-einer-schwachstelle-aus-den-1990ern/
Why did we choose this article?
A simulated offensive AI agent breached McKinsey's internal AI platform and gained full read/write access — a stark real-world warning about the security risks of internal AI systems that any organization deploying AI should heed.

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