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  • 😇😈 Artificial Intelligence Chatbots - Friend or Foe to Media Outlets?

😇😈 Artificial Intelligence Chatbots - Friend or Foe to Media Outlets?

Keeping ChatGPT in Line

In today’s Tracker:

Read time: 3 mins

  • 🧪 Research highlights: The Great Math Debate: Will AI Replace Human Mathematicians?

  • 🚨 Industry news: China's Blue Focus Goes All-In on AI-Generated Content, Bids Farewell to Human Creatives

  • ⚖️ Policy and regulation: Europe's Privacy Watchdog Creates Task Force to Keep ChatGPT in Check

  • 🌐 AI and society: The Rise of Chatbots: The Newest Threat to Traditional Media

  • 🧰 Tool of the day: Remini: From Blurred to Beautiful

  • ⏰ AI concept of the day: Cracking the Code: Understanding Computational Learning Theory

🧮 The Great Math Debate: Will AI Replace Human Mathematicians?

Beyond simple computations, Artificial Intelligence (AI) tools are revolutionizing mathematics.

Microsoft's Lean assisted in the proof of a highly complex mathematical theorem, and Google's Minerva chatbot can collaborate with mathematicians to solve challenging issues.

However, some worry that AI's ability to choose what is worth proving may render human mathematicians obsolete, while others maintain that AI is only as brilliant as it is trained to be.

👋🛠️ China's Blue Focus Goes All-In on AI-Generated Content, Bids Farewell to Human Creatives

Blue Focus Intelligent Communications Group Co., a Chinese media and public relations firm, intends to replace external copywriters and graphic designers with AI models comparable to OpenAI's ChatGPT.

The firm, which services companies such as Samsung and BMW, has approached Alibaba and Baidu about licensing their technology. Since the introduction of ChatGPT, which can offer human-like responses and compose poems, essays, and fiction from scratch, business executives worldwide have been exploring AI usage.

Blue Focus's decision to embrace AI-generated content is viewed as risky and could have far-reaching implications for the media business.

🕵🏻 Europe's Privacy Watchdog Creates Task Force to Keep ChatGPT in Check

The European Data Protection Board (EDPB) has formed a task group to oversee the growth of ChatGPT and other AI chatbots.

Following a data leak that revealed users' personal information, Italian authorities banned ChatGPT over privacy concerns. Other EU data protection watchdogs, including those in Germany and Spain, have reservations about ChatGPT.

The task force established by the EDPB aims to exchange information and collaborate on potential enforcement measures.

The board will meet again in the coming months to address the issue further, and OpenAI has until April 30 to reply to the Italian Data Protection Authority's concerns.

⬆️🦾 The Rise of Chatbots: The Newest Threat to Traditional Media

The rise of generative AI tools like ChatGPT has media executives worried readers might turn to chatbot summaries of news articles instead of visiting their websites.

Some publishers have proposed strategies to prevent AI chatbots from accessing their websites by altering the robots.txt file.

However, a collection of media executives believe they can do nothing to secure their content as emerging chatbots acquire information from search results. Publishers are scared to omit their stories from search engines because of the traffic they offer.

The prospect of AI chatbots has prompted a drive for reforms to copyright law, with publishers seeking recompense for using their unique content.

🖼️ Remini: From Blurred to Beautiful

Remini is an AI-powered picture enhancer that employs deep learning technology to repair, improve, and sharpen photographs. The program is intended to assist users in enhancing the quality of their old or low-resolution images, giving them new life. Remini can help if you want to repair old family pictures or increase the quality of your digital photos.

Learn more about the tool here.

💻 Cracking the Code: Understanding Computational Learning Theory

Computational learning theory is an area of computer science investigating the design and study of algorithms that may learn from and anticipate or make judgments based on data.

It determines the computational complexity of learning problems, the sample complexity required for authentic learning, and the generalization performance of learning algorithms.

The theory draws on principles from statistics, probability theory, and optimization to design algorithms that can automatically detect patterns and regularities in data.

Machine learning, natural language processing, computer vision, and robotics are some applications of computational learning theory.

📱 #SocialScene

👔 Expert advice of the day

—Larry Page

Artificial intelligence would be the ultimate version of Google. The ultimate search engine that would understand everything on the web. It would understand exactly what you wanted and give you the right thing. We’re nowhere near doing that now. However, we can get incrementally closer to that, and that is basically what we work on.

🧠 #MindsetMaze

—S. O’Sade

“Oh! It’s Friday again. Share the love that was missing during the week. In a worthy moment of peace and bliss.”

🤪 Meme of the day: Revenge 😈

Credit: doggnar

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