- AIChief Newsletter
- Posts
- Oops, He Did It Again: Zuckerberg’s Privacy Problem
Oops, He Did It Again: Zuckerberg’s Privacy Problem


AI Tools | Submit AI Tool | AI News | YouTube
Hello Innovators ⭐!
Welcome to this week’s AI roundup, where we explore the latest advancements in artificial intelligence and how they’re shaping industries across the board.
Let’s see what this newsletter contains:
AI Quote
AI Tools
AI News
Guide
YouTube Content
AI Meme
Technology, Through Automated and Artificial Intelligence, Is Definately One of the Most Disruptive Sources.
ALAIN DEHAZE
AI Book Writing | AI Blog Writer | AI Story Writing |
3 Notebook LM Features You Didn't Know About
AI Memes

Key Points
Meta invests $14.3B for 49% of Scale AI; CEO Wang to lead Meta’s new AI lab.
Move follows Llama 4 delays and performance criticism.
Wang remains on Scale’s board; Jason Droege becomes interim CEO.
Meta boosts AI hiring to rival OpenAI, Anthropic, and DeepSeek.
Deal helps Meta access talent while avoiding antitrust violations.
Scale expands into U.S. defense and Qatar AI contracts.

Key Points
Meta AI app faces backlash for unclear privacy settings, causing users to unknowingly share private chats publicly.
Sensitive content like medical issues and legal info has been exposed and mocked online.
Instagram-linked accounts may auto-share content publicly, adding to the confusion.
Critics compare it to past privacy disasters, demanding better transparency.
Despite hype, the app only has 6.5M downloads; Meta is under pressure to fix flaws.

Key Points
AMD unveiled MI400 AI chips and Helios rack systems to challenge Nvidia in data centers.
OpenAI’s Sam Altman confirmed adoption, praising AMD’s performance.
AMD touts 40% better AI output per dollar than Nvidia.
Major partners include Meta, Microsoft, Oracle, and Tesla.
AMD uses open-source UALink and plans yearly chip updates.
AI Resources:
AI FOR EVERYONE-COURSERA

What You’ll Learn in:
The meaning behind common AI terminology, including neural networks, machine learning, deep learning, and data science
What AI realistically can—and cannot—do
How to spot opportunities to apply AI to problems in your own organization
What it feels like to build machine learning and data science projects
How to work with an AI team and build an AI strategy in your company
How to navigate ethical and societal discussions surrounding AI
Course Options:
$49 USD: Full access + certificate
Audit Free: Access materials (no graded items or certificate)
P.S. Stay tuned for more updates next week!
Best Regards,
AIChief Team