Wednesday’s AI Report
• 1. 🏛️ Anthropic beats AI copyright lawsuit
• 2. 🚀 How to get leads with Taplio
• 3. 🌍 How AI reduced training material creation by 80%
• 4. 🤖 Build custom chatbots with ChatNode
• 5. ⚙️ Trending AI tools
• 6. 🧬 AI focusing on emotion, not logic?
• 7. 🌐 Global trust in AI divides
• 8. 📑 Recommended resources
Read Time: 5 minutes
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Anthropic beats AI copyright lawsuit
🚨 Our Report
A Federal Judge—William Alsup—has sided with Anthropic in an AI copyright case, ruling that it was “fair use” to train its AI model, Claude, on legally purchased books, without authors' permission.
🔓 Key Points
The case—Bartz v. Anthropic—was filed by a trio of writers who sued Anthropic last year for training its AI model, Claude, on their published books, without their permission, calling it “large-scale theft.”
Judge Alsup ruled that digitizing a legally purchased physical book and using it to train an AI model was fair use under US copyright law because it was “quintessentially transformative.”
He said the lawsuit was like complaining that training schoolchildren to write, using their books, would result in “an explosion of competing works,” adding that the law doesn’t “protect authors against competition.”
🔐 Relevance
This is the first time the courts have ruled in favor of AI, and while Judge Alsup’s ruling doesn’t mean that other judges will follow suit, it could impact the ongoing copyright cases against big tech companies like OpenAI, Meta, Midjourney, and Google. But although Judge Alsup has sided with Anthropic in this particular instance, he will be holding a separate court case against Anthropic, as the Bartz v. Anthropic lawsuit also states that Anthropic has created a “central library” of “all the books in the world,” but many of these books were illegally downloaded from pirate sites.
Is training AI on purchased books "fair use"?
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How AI reduced training material creation by 80%
Clueso, a US startup, couldn’t scale because manually creating high-quality product videos and documentation was too time-consuming.
They built an AI-powered platform that converted screen recordings into polished explainer videos and accompanying documents.
Their AI platform auto‑edited content, generated professional voice‑overs, and auto‑zoomed on key UI interactions.
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Non-profit group, LAION (which makes open-source AI models), has released AI tools, called EmoNet, that are focused on emotional intelligence, representing a shift in focus from logical reasoning to emotional feeling.
EmoNet tools can interpret emotions from voice recordings or facial photography, but LAION founder, Christoph Schuhmann, believes that “Big players already have this technology…we’re just democratizing it.”
Studies and benchmark tests reveal that there is rapid progress in AI emotional intelligence: OpenAI, Google, and Anthropic scored 80% accuracy vs the human average of 56% on emotional intelligence tests.
A United Nations study has revealed that China and many lower-income countries see AI as a tool to improve health, education, and farming—with 60% of Chinese respondents feeling that AI is improving their lives.
However, public trust in AI has fallen in wealthier countries—especially in Europe and the US—with many in the US fearing job losses, privacy, and misinformation, and those in Europe concerned about corporate control.
Global AI regulation will be hard as views on AI “aren’t in sync” because of government efforts to push AI: Eg. China’s trust in AI is because the government is promoting AI, issuing fewer regulations to enable progress.
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