Is your business ready for AI cyberattacks?

Hi ,

Anthropic just built an AI model too dangerous to release.

Called Claude Mythos Preview. Codenamed "Capybara" internally.

Finds zero-day vulnerabilities in minutes. Already flagged thousands of bugs across every major OS and browser.

Found a 27-year-old flaw in OpenBSD. Found another in video software that automated tools missed after five million scans.

40+ companies getting access through Project Glasswing — Apple, Amazon, Microsoft, Google among them.

Anthropic putting up $100 million in Claude credits to fund the effort.

Annual revenue crossed $30 billion in 2026. More than triple last year.

Today's prompt is about building an internal AI knowledge base that stops experts from answering the same questions. Then two stories you don't want to miss — Google Maps going AI and Anthropic's most dangerous model yet.

🔥 Prompt of the Day 🔥

Internal Knowledge Base AI Assistant: Use ChatGPT or Claude

"Act as a knowledge management specialist. Create one internal AI assistant framework for [AGENCY/TEAM] that answers common questions without interrupting experts.

Essential Details:

• Team Size: [USERS]

• Knowledge Sources: [DOCS/WIKIS/SLACK]

• Question Types: [COMMON ASKS]

• Update Frequency: [KNOWLEDGE CHANGES]

• Privacy Requirements: [INTERNAL ONLY]

• Integration Tool: [PLATFORM]

Create one knowledge system including:

• Document ingestion workflow

• Common question identification

• AI response quality rules

• Escalation to human triggers

• Update maintenance process

• Usage analytics tracking

Stop answering the same questions."

Variables:

AGENCY/TEAM: Who the assistant serves

USERS: How many people on the team

KNOWLEDGE SOURCES: Where your information lives

COMMON ASKS: What questions keep getting repeated

PLATFORM: Where the assistant will live

Why This Works:

Experts lose hours every week answering the same questions. AI ingests your existing docs and wikis. Answers routine questions instantly. Escalates only what it can't handle. Tracks what people ask most. Gets smarter over time. Experts stay focused on real work.

📍Google Maps Gets AI-Powered Photo Captions 📍

Google just made it easier to contribute to Maps.

Gemini now writes captions for photos and videos users want to share about a place.

Available now in English on iOS in the US. Coming to Android and global markets soon.

What It Does

Select photos to share on Google Maps. Gemini analyzes the images and generates a caption automatically.

Edit it. Remove it. Or post it as is.

Also pulling recent photos and videos directly into the Contribute tab if media access is enabled.

What Else Is New

Total points now displayed in the Contribute tab. Local Guide levels highlighted on profile pages.

Updated achievement badges. Easier to see if someone is an expert fact-finder, master photographer, or rising novice.

High-level contributors now get gold-colored profiles.

Why This Matters

Google Maps has over 500 million contributors sharing photos, reviews, and videos.

Captions have always been a friction point. Most people skip them. Gemini removes that barrier entirely.

For contributors: Less effort to share quality content. AI does the writing.

For Google Maps: Better captions mean better information for everyone searching for places.

For Gemini: Another everyday use case embedded into a product billions of people already use.

What This Means

If you contribute to Google Maps: Caption suggestions are live now on iOS in the US. Try it this week.

If you're a local business: More contributors posting quality captions means better representation of your location.

If you watch AI product integration: Google is embedding Gemini into every surface it owns. Maps is just the latest.

AI is making it easier to share local knowledge. That benefits everyone who uses Maps to make decisions.

Did You Know?

Google DeepMind's GenCast weather model outperforms the world's leading traditional forecasting system on the vast majority of tested variables — predicting extreme heat, wind, and tropical cyclone tracks more accurately while generating a full 15-day global forecast in minutes instead of the hours required by supercomputers.

🗞️ Breaking AI News 🗞️

Anthropic Builds AI Model It Considers Too Dangerous to Release

Anthropic just announced its most powerful model yet.

Called Claude Mythos Preview. And they're not releasing it to the public.

Instead making it available to 40+ companies through Project Glasswing to find and patch security vulnerabilities before bad actors can exploit them.

Anthropic committing up to $100 million in Claude usage credits to the effort.

The Problem It Solves

AI models good at coding are also good at finding flaws in code.

Until recently only expert human researchers with specialized tools could find the most severe security vulnerabilities.

Claude Mythos Preview changes that. And Anthropic is sounding the alarm.

What The Model Can Do

Carries out autonomous security research. Scans for and exploits zero-day vulnerabilities — flaws unknown even to the software's own developers.

Already identified thousands of bugs across every major operating system and browser.

Found a 27-year-old bug in OpenBSD — an operating system designed specifically to be difficult to hack.

Found a vulnerability in popular video software that automated tools scanned five million times without detecting.

Triggered by amateurs with simple prompts.

Project Glasswing

Named after the glasswing butterfly — which hides in plain sight using transparent wings.

Like the butterfly, critical software bugs have existed in the open for years. Too buried in complex systems for humans to find.

Coalition includes Apple, Amazon, Microsoft, Google, Cisco, Broadcom, CrowdStrike, and the Linux Foundation.

CrowdStrike CTO Elia Zaitsev: "What once took months now happens in minutes with AI."

The Bigger Picture

Anthropic's projected annual revenue more than tripled in 2026 to over $30 billion.

Growth driven largely by Claude's popularity as a coding tool.

An AI built to be great at coding is also great at breaking it. That's the double-edged sword Anthropic is now addressing head-on.

Chief Science Officer Jared Kaplan: "This is the least capable model we'll have access to in the future."

Why This Matters

This is not a product launch. It's a warning shot.

Anthropic is telling the world that AI-powered cyberattacks are no longer theoretical. They're here. And the window to patch critical infrastructure is closing fast.

For businesses: Every system running old code is now more vulnerable than it was last week.

For the cybersecurity industry: The arms race between attackers and defenders just escalated significantly.

For AI companies: The era of releasing every model publicly may be ending. Safety constraints are becoming real product decisions.

What This Means

If you run a business: Audit your critical software and infrastructure. The threat landscape just changed.

If you work in cybersecurity: Tools like Claude Mythos Preview are coming to defenders first. Get ahead of this.

If you follow AI development: Anthropic choosing not to release a model is a significant moment. Expect others to follow.

The paradigm of security through obscurity is breaking down. AI just made that impossible to ignore.

Over to You...

If AI can find decade-old security vulnerabilities in minutes, is your business infrastructure ready for what comes next?

Hit reply - I read every one.

To staying one step ahead,

Jeff J. Hunter 
Founder, AI Persona Method | TheTip.ai

P.S. Want to turn AI Agents into a consulting offer? Book your AI Certified Consultant strategy 👉 here.

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