⚖️ AI Can Train on Stolen Books, Says US Judge

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Today’s Recipes:

• ⚖️ AI Can Train on Stolen Books, Says US Judge

• 🚀 Windows 11 Gets Smarter with Microsoft’s ‘Mu’

• ⚠️ Amazon’s New Alexa AI Isn’t Impressing Anyone

• Apple’s Next AI Move? A Deal with Perplexity

• Goldman Sachs Launches AI Assistant for Staff

• OpenAI Pulls Jony Ive Name Over Legal Dispute

• AI Tutorial of the Day

• And More….

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- LATEST DEVELOPMENTS -

⚖️ AI Can Train on Stolen Books, Says US Judge

A US judge ruled that AI firm Anthropic can train its chatbot Claude on pirated books under fair use, marking a major precedent in the AI and copyright legal landscape.

Details:

1. Background: Anthropic trained its AI model Claude using millions of pirated and scanned copyrighted books.

2. Legal Challenge: Authors sued, alleging copyright infringement.

3. Key Ruling: Judge William Alsup sided with Anthropic, citing “transformative” use under the Copyright Act’s fair use doctrine.

4. Exception: The judge allowed a trial to determine damages over Anthropic’s central library use of pirated books.

5. Industry Impact: This is the first US ruling of its kind, potentially setting a precedent for other AI copyright cases.

6. Company Context: Anthropic, valued at $61.5B and backed by Amazon, is led by ex-OpenAI executives and claims a focus on responsible AI development.

Takeaway: This landmark decision could reshape how AI firms handle copyrighted content—blurring lines between innovation and intellectual property rights.

🚀 Windows 11 Gets Smarter with Microsoft’s ‘Mu’

Microsoft debuts 'Mu', a small AI model powering smarter Windows 11 features like Settings search, offering fast local performance using minimal resources on Copilot+ PCs.

Details:

1. New AI Model: Microsoft introduced ‘Mu’, a micro-sized language model optimized for on-device use.

2. Efficiency First: It runs on Neural Processing Units (NPUs), allowing low-power, high-speed responses.

3. Target Use: Deployed in the Windows 11 Settings search bar, it understands natural language queries.

4. Performance Stats: On a Surface Laptop 7, Mu processes over 200 tokens/second—faster than many cloud AI tools.

5. Tech Behind It: It uses a transformer encoder-decoder, weight sharing, and hardware acceleration to stay lightweight.

6. Training Focus: Microsoft prioritized real user queries and refined the model to reduce confusion in overlapping settings.

7. Bigger Vision: While it currently supports Settings search, future features may also benefit from Mu’s local AI capabilities.

Takeaway: Mu shows Microsoft’s commitment to practical, private AI by bringing intelligent, energy-efficient features right to the device—no cloud required.

⚠️ Amazon’s New Alexa AI Isn’t Impressing Anyone

Amazon’s highly anticipated Alexa+ update draws criticism for slower, less intelligent responses—raising concerns about the company’s falling behind in the AI race.

Details:

1. Alexa+ Launch: Marketed as Amazon’s big leap in voice AI, with enhanced conversational abilities via generative AI.

2. User Backlash: Early testers report slower responses, more confusion, and bizarre errors like playing songs instead of answering questions.

3. Community Reaction: Reddit users mock the assistant’s lack of progress; some suspect Amazon removed old features to make Alexa+ seem like a bigger upgrade.

4. Still in Beta: Alexa+ is in early access, but current performance hasn’t met rising expectations set by competitors like ChatGPT and Google Gemini.

5. AI Strategy Concerns: Critics question how a trillion-dollar company with stakes in leading AI firms can still fall short on core smart assistant functionality.

6. Market Reality: In 2025, Alexa trails behind Google Assistant and Apple’s Siri in U.S. user count, threatening Amazon’s hold on voice-driven ecosystems.

Takeaway: Alexa+ was supposed to be Amazon’s AI revival, but early reviews suggest it's more of a stumble—leaving users wondering if the tech giant is losing its edge in everyday AI.

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- MORE AI & TECH UPDATES -

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AI Errors Are Crushing Legal Pros — Fight Back ↗️

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Goldman Sachs Launches AI Assistant for Staff ↗️

Goldman Sachs has officially launched its in-house generative AI tool, GS AI Assistant, firmwide in a strategic move to streamline operations and boost productivity…

OpenAI Pulls Jony Ive Name Over Legal Dispute ↗️

OpenAI’s high-profile partnership with Sir Jony Ive and his company io Products has hit a legal snag…

- POLL OF THE DAY -

- HOW TO AI -

How to Building Your Own AI Assistant

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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