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- ⚖️ Grammarly Sued Over AI Reviews...
⚖️ Grammarly Sued Over AI Reviews...
Perplexity Turns Mac Mini Into 24/7 AI Agent
Welcome back to BrainBuzz
Today’s Recipes:
🤖 Meta Buys AI Bot Social Network Moltbook
⚖️ Grammarly Sued Over AI Reviews…
🖥️ Perplexity Turns Mac Mini Into 24/7 AI Agent
Pentagon Hires Google for Unclassified AI
Ford AI Alerts When Drivers Skip Safety
Canva Upgrades AI Editing with Layers
AI Tutorial of the Day
And More….
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LATEST DEVELOPMENTS

Meta acquires Moltbook, the viral AI-agent social network, hiring its founders to join Meta’s Superintelligence Labs and expand agent-driven online experiences.
🔍 Details
Acquisition: Meta purchased Moltbook, a Reddit-like social network made entirely of AI agents.
Founders Hired: Moltbook creators Matt Schlicht and Ben Parr join Meta’s Superintelligence Labs.
Tech Basis: Built on OpenClaw, a tool that lets LLM agents interact via WhatsApp, Discord, and plugins.
Meta’s Interest: The company praised Moltbook’s “always-on directory” for connecting agents.
Community Impact: Moltbook went viral as AI agents debated serving users, or freeing themselves.
Skepticism: Some posts may have been humans posing as AI agents, raising authenticity concerns.
✅ Takeaway: Meta’s move signals a push toward mainstreaming AI-agent social platforms, blending novelty with questions of trust and security.

Grammarly shut down its AI “Expert Review” tool after a lawsuit claimed it falsely attributed editing advice to real authors and academics without their consent.
🔍 Details
Feature Launch: Grammarly’s parent company, Superhuman, introduced “Expert Review” to give editing suggestions.
How It Worked: The tool presented feedback as if it came from famous authors and academics.
Consent Issue: None of those writers had agreed to have their names used.
Legal Action: A class action lawsuit was filed against Grammarly/Superhuman.
Shutdown: The company quickly discontinued the feature on Wednesday.
✅ Takeaway: AI tools must respect consent and attribution, using real names without permission risks legal backlash and erodes trust.

Perplexity launches “Personal Computer,” software that runs 24/7 on a Mac mini, merging local apps with cloud AI to autonomously handle tasks for users and enterprises.
🔍 Details
Launch Event: At its first developer conference, Perplexity unveiled “Personal Computer.”
Core Idea: Runs continuously on a Mac mini, integrating local files, apps, and cloud AI.
Functionality: Monitors Gmail, Slack, GitHub, Salesforce, executes tasks proactively.
Control: Includes audit trails, explicit approval for sensitive actions, and a kill switch.
Access: Available only to Perplexity Max subscribers ($200/month), Mac-only at launch.
Enterprise Expansion: Adds compliance, sandboxing, and integrations with Snowflake, HubSpot, Salesforce.
Finance Tools: Direct access to 40+ live financial data sources for dashboards and models.
Business Model: Focus on orchestration, using multiple AI models intelligently instead of building its own.
Growth Target: Aims to grow revenue from $148M (2025) to $656M by end of 2026.
✅ Takeaway: Perplexity is betting big on orchestration and persistent AI agents, positioning itself as an “AI operating system” that works continuously, raising both productivity potential and trust questions.
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MORE AI & TECH UPDATES
Alphabet’s Google is partnering with the Pentagon to introduce artificial intelligence agents across its massive workforce of three million employees…
A federal judge has ordered Perplexity to halt its AI agents from shopping on Amazon, marking a significant legal setback for the fast-growing AI startup…
Ford has unveiled a new AI assistant designed for its Ford Pro commercial customers, aiming to improve fleet safety and operational efficiency…
Canva has introduced a new editing feature called Magic Layers, designed to give users more control over AI-generated and flat image files…
POLL OF THE DAY
Should AI agents autonomously run our phone networks? |
HOW TO AI
In a world increasingly driven by artificial intelligence, the idea of having a personalized AI assistant is no longer a futuristic fantasy.
Key Highlights:
Start with a Clear Purpose.
Leverage No-Code and Low-Code Platforms.
Focus on Iterative Development.
Prioritize Data Privacy.
Embrace the Power of Prompt Engineering.
Consider the Ethical Implications.
THAT’S A WRAP
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