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Today’s Highlights:

  • 🤖 Google Launches Three New Gemini Models

  • 📚 Anthropic Pays $1.5B Over Pirated Books

  • ⚡ Moonshot Pauses New Kimi K3 Subscriptions

  • 🎥 Claude Cowork Can Now Learn From Screen Recordings

  • 🏢 Microsoft Doubles Down on Mistral in Europe

  • ❄️ Google Is Building a New AI Chip

  • 📓 Gemini Notebook Gets Collections

  • 🛑 Trump Administration Weighs Restrictions on Chinese AI Models

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LATEST AI NEWS

GOOGLE

Image Source: Google

Google has released Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber, targeting faster AI agents, high-volume automation, and cybersecurity.

The Details:

  • Gemini 3.6 Flash improves coding, knowledge work, multimodal reasoning, and computer use while consuming 17% fewer output tokens than Gemini 3.5 Flash.

  • It costs $1.50 per million input tokens and $7.50 per million output tokens, making complex agent workflows cheaper to run.

  • Gemini 3.5 Flash-Lite is Google's fastest model in the 3.5 series, producing around 350 output tokens per second for high-volume tasks such as search and document processing.

  • Flash-Lite costs $0.30 per million input tokens and $2.50 per million output tokens, positioning it as Google's lowest-cost 3.5-class model.

  • Gemini 3.5 Flash Cyber is built to detect, validate, and patch software vulnerabilities through Google's CodeMender security agent.

  • Gemini 3.6 Flash and Flash-Lite are available through the Gemini app, AI Studio, Gemini API, and enterprise products.

  • Flash Cyber will initially be restricted to governments and trusted partners, while Google continues testing Gemini 3.5 Pro.

Why it matters:

Google is building different Gemini models for different workloads instead of relying on one flagship system. Faster and cheaper options could make AI agents and large-scale automation more practical for businesses.

ANTHROPIC

Image Source: Reuters

A federal judge has approved Anthropic’s $1.5 billion settlement with authors and publishers who accused the company of downloading pirated books to help train its Claude models.

The Details:

  • The case covers more than 482,000 copyrighted books, with rightsholders expected to receive roughly $3,000 per work before deductions.

  • A judge ruled that training AI on legally obtained books may qualify as fair use, but downloading and storing pirated copies does not.

  • Anthropic reportedly collected more than 7 million unauthorized books in a central digital library used for model development.

  • More than 91% of eligible books have been claimed by authors and publishers participating in the settlement.

  • The agreement is considered the largest copyright class-action settlement in U.S. history, although Anthropic denied wrongdoing.

Why it matters:

This case draws a clear line between using copyrighted material for AI training and obtaining that material illegally. It could push AI companies to license their datasets and prove where their training data came from.

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MORE AI & TECH NEWS

  • The U.S. and China are preparing their first official AI talks under President Trump ahead of President Xi's September visit, focusing on AI's growing impact on military, cybersecurity, and economic competition.

  • Anthropic added "Record a Skill" to Claude Cowork, allowing users to teach desktop workflows by recording their screen and narration, then replay those tasks automatically later.

  • Google is rolling out Collections to Gemini Notebook, letting users organize notebooks into flexible groups without folders, making large research libraries easier to manage.

  • Microsoft announced a multibillion-dollar partnership supporting Mistral's European AI data center expansion while bringing Mistral's latest models to Microsoft Foundry and Copilot Studio.

  • Moonshot AI has temporarily stopped new Kimi K3 subscriptions after overwhelming demand pushed its GPU capacity to the limit. Existing users keep access while the company adds more computing power and gradually reopens sign-ups.

  • Google is reportedly building Frozen v2, a next-generation AI server chip designed to speed up Gemini while improving power efficiency. The chip could arrive by 2028 alongside Google's existing TPU hardware.

  • The White House is reportedly considering new limits on Chinese AI models, including tighter procurement rules and security measures, as low-cost systems like Moonshot's Kimi K3 intensify AI competition.

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