Did China steal Anthropic’s AI powers?

Well, that’s the shocking bombshell report that Anthropic just dropped. They accused multiple Chinese AI companies of generating more than 16 million exchanges with their models just to try and copy it.

We get what you’re thinking….. “So. That means cheaper open Chinese models so we all win, right.”

Wrong.

On this episode of Everyday AI, we break down Anthropic’s shocking AI distillation accusations against Chinese firms, what they actually mean, and how they’re more impactful outside of just the AI model you choose to use.

You might be shocked TBH at the far-reaching implications.

China Stealing AI from the U.S.? Inside Anthropic's Bombshell Allegations — An Everyday AI Chat with Jordan Wilson

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Topics Covered in This Episode:

1. Anthropic Accuses Chinese AI Labs of Distillation
2. Details on 16 Million Claude Extraction Prompts
3. DeepSeek, Moonshot, MiniMax Named in Anthropic Report
4. Google and OpenAI Cite Similar China AI Threats
5. Technical Explanation of Model Distillation Attacks
6. Market Impact: MiniMax Surpasses Anthropic in Tokens
7. Financial Consequences for U.S. AI Model Providers
8. Policy and Geopolitical AI Competition Analysis
9. Limitations of Current Export Controls and Safeguards
10. U.S. AI Dominance Threatened by Chinese Distillation

Timestamps:

00:00 "Foreign AI Impact on Tech"

04:43 "AI Distillation and Security Threats"

07:11 "MiniMax Scandal: Data Theft Allegations"

10:33 "Open Router Key Marketplace"

15:54 "Smart, Cheap Models Explained"

19:31 "AI, IP Theft, and China's Impact"

22:44 Big Tech's Data Theft Problem

25:37 "Protecting U.S. Tech from Export"

27:53 OpenAI Accuses DeepSeq of Misuse

33:58 "AI's Global Power Struggle"

35:03 "AI Models: What's Next?"

Keywords:

China AI theft, Anthropic bombshell report, model distillation, Chinese AI labs, DeepSeek, Moonshot AI, MiniMax, Claude capabilities, 16,000,000 prompts, 24,000 fake accounts, O

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Start Here ▶️

Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and access all episodes there: StartHereSeries.com

✅ Two major model releases from Google and Anthropic
✅ The usual AI drama
✅ Surprising AI updates no one saw coming
✅ AI leaks and reports that if true, could change how we work

Yeah, there was a lot to follow this week in AI. If you missed anything, we've got you covered.

Google Gemini 3.1 tops charts, Claude Sonnet 4.6 impresses, New OpenAI leaks reveal their massive AI hardware plans and more -- An Everyday AI Chat with Jordan Wilson

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More on this Episode: Episode Page
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Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:

1. Anthropic Revenue Growth vs OpenAI Projections
2. OpenAI’s 2030 Hardware and Revenue Plans
3. OpenAI and Anthropic Beef at India Summit
4. AI Global Summit: New Delhi Declaration Overview
5. Google Gemini 3.1 Pro Three-Tier Reasoning System
6. Gemini 3.1 Pro Benchmark and Performance Score
7. Claude Sonnet 4.6 Release and Benchmark Results
8. Anthropic Model Tier Comparisons: Haiku, Sonnet, Opus
9. Google Pameli Photoshoot AI for Product Images
10. AI Job Automation Concerns: Andrew Yang Analysis
11. OpenAI Consumer Hardware: Speaker, Glasses, Light
12. Weekly AI Model Updates and Feature Rollouts

Timestamps:

00:00 "Anthropic vs OpenAI Revenue Race"

04:00 Anthropic vs OpenAI Revenue Battle

07:39 Anthropic's API Usage Decline

11:03 AI Summit Sparks Debate and Criticism

16:37 "Gemini 3.1 Pro Dominates Benchmarks"

18:23 "Google's Edge in AI Race"

20:56 "SONNET 4.6 Outperforms Opus"

24:13 "Google's AI Photoshoot Tool"

29:57 "AI's Impact on Jobs"

31:13 AI Dominance & OpenAI Hardware

35:03 AI Revenue Risks and Competition

41:10 "Subscribe for AI Updates"

42:08 "Subscribe to Everyday AI Updates"

Keywords:

Gemini 3.1, Google DeepMind, AI news, Large Language Model, OpenAI, Anthropic, Claude Sonnet 4.6, Claude Opus 4.6, ChatGPT, Sam Altman, Dario Amodei, Global AI Summit, AI Impact Summit India, AI powered hardware, Smart speaker, Smart glasses, AI chip spending, Compute infrastructure, Revenue growth,

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Start Here ▶️

Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and access all episodes there: StartHereSeries.com

The perfect AI storm happened, and no one has noticed yet. 😬

And when everyone finally realizes, they'll be too busy focused on the shiny new AI capabilities to see the straight up agentic nightmare looming right in front of them.

I'll be honest though.

↳ Yeah, there's a dark side to AI agents.
↳ Yeah, it's worse than you think.
↳ Yeah, we're gonna talk about.


Agent Risk, Security, and AI Sprawl in 2026: Why AI That Acts Changes Everything – An Everyday AI Chat with Jordan Wilson (Start Here Series Volume 9)

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More on this Episode: Episode Page
Join the discussion on LinkedIn: Thoughts on this? Join the convo on LinkedIn and connect with other AI leaders.

Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineup
Website: YourEverydayAI.com
Email The Show: info@youreverydayai.com
Connect with Jordan on LinkedIn

Topics Covered in This Episode:

1. Evolution of AI Agent Risk (2022-2026)
2. Agentic AI Security Threats Explained
3. Types of Agent Sprawl & Dark AI
4. Key Differences: Chatbot vs Agent Risk
5. Major AI Labs' Risk Response Strategies
6. Agent Actions, Outputs, and Enterprise Risk
7. Monday Morning Playbook for AI Security
8. Agent Skill Marketplace & Supply Chain Risk

Timestamps:

00:00 AI Risks: A Rapid Evolution

06:22 "Applying Buzzwords to Practice"

07:31 AI Evolution: Dumb to Proactive

13:23 "Expanding Blast Radius with Tools"

14:04 "AI Actions: Enterprise Nightmare"

17:16 "Start Here: AI Basics"

22:50 "Agentic Web and Business Value"

24:09 "Advances Driving AI Agent Efficiency"

27:30 AI Labs: Balancing Risk and Research

32:04 "Autonomous AI Model Concerns"

33:43 "Managing Autonomous Agent Risks"

37:08 "Foundations First for Future Success"

41:00 "Understanding Risks and Opportunities"

Keywords:

AI risk, agent risk, security risk, AI sprawl, AI agents, agentic AI, AI model actions, business AI risk, corporate AI security, agent risk mental model, OpenAI, Google, Anthropic, Microsoft, governance, audit logs, isolation protocols, agentic capabilities, smart AI models, proactive AI, autonomous agents, agent hallucination, rogue AI agents, prompt injection, malware agents, spyware agents, ransomware agents, agent input risk, tools risk, outputs to actions, enterprise AI nightmare, shadow AI,

Send Everyday AI and Jordan a text message. (We can't reply back unless you leave contact info)

Start Here ▶️

Not sure where to start when it comes to AI? Start with our Start Here Series. You can listen to the first drop -- Episode 691 -- or get free access to our Inner Cricle community and access all episodes there: StartHereSeries.com