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👀 AI Happenings...

• 🏫 UK universities draw up guiding principles on generative AI (link)

• 🌓 Aussie industry set to almost halve thanks to AI (link)

• 🤝EU and Japan look to partner on A.I. and chips as China's ‘de-risking’ strategy continues (link)

🧠 Best New AI Tools

• AI Lawyer: Say goodbye to expensive consultations, long waits for appointments, and confusing legal texts. (link)

• Quadient: Quadient assists businesses in improving customer experiences. (link)

• Surfer: Helps businesses improve their website's traffic by developing a comprehensive content strategy. (link)

• Booltool: AI-powered cloud toolkit: Create stunning content effortlessly. Picture editing and more (link)

• analogenie: Clarify abstract concepts by using simple examples and make your readers drool over your writing (link)

• Supernormal: Supernormal helps you create amazing meeting notes without lifting a finger (link)

See all the best AI tools

🦾 Today’s Best Notion AI Prompts

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🖌️ Today’s Best New DALL-E Prompts

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 🎨 Today’s Best New Midjourney Prompts

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🤯 Insight: AI Has High Potential To Drive Global Economy

Generative AI, powered by deep learning models, has been gradually integrated into various aspects of our lives. Unlike earlier AI milestones that quickly faded from public attention, generative AI applications like ChatGPT and GitHub Copilot have captured people's imaginations due to their broad utility and ability to engage in conversations and create content.

Generative AI technology has rapidly advanced, with new models like GPT-4 and Claude demonstrating improved capabilities. It has the potential to transform various industries, enhance productivity, and add trillions of dollars to the global economy. Approximately 75 percent of the value generative AI delivers is expected to come from customer operations, marketing and sales, software engineering, and research and development.

It can augment workers' capabilities, especially in knowledge-based occupations with higher wages and educational requirements. The pace of workforce transformation is likely to accelerate, and it is estimated that half of today's work activities could be automated between 2030 and 2060.

Read more about it here ➡

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