Netherlands' historic AI move

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Today we will discuss-

• 🌐Meta joins competitors in search of human-level AI

• 👩‍💻Netherlands wastes no time, embraces Europe's AI act

• 💪WHO releases AI ethics and governance guidance for LLMs

• 😱13 amazing AI tools you might not have heard of

All this and more - Let's dive in!

👩‍🍳What’s cooking in the newsroom?

Meta joins the race of building human-level AI, indicates spending billions on Nvidia AI chips

🤖News - Mark Zuckerberg, on Thursday, announced Meta's official entry into the race for "super AI," a system capable of human-level reasoning and problem-solving. This bold aim positions Meta as a direct competitor to tech giants like Google and Microsoft, both heavily invested in the pursuit of artificial general intelligence (AGI).

🧐How is Meta planning to achieve that? Zuckerberg shared that Meta has hired really smart engineers to boost their work in AI, with the main aim being general intelligence.

"We believe that, to create the products we have in mind, we have to focus on general intelligence," Zuckerberg explained. He also added, "This is important to mention because many of the brightest researchers prefer to tackle more challenging problems."

To fuel its AI ambitions, Meta is heavily investing billions in Nvidia's widely-used computer chips, integral to AI research. Zuckerberg highlighted the company's commitment to building a substantial compute infrastructure for their AI roadmap. By the end of 2024, Meta plans to integrate 350,000 H100 graphics cards from Nvidia into its infrastructure, underscoring Meta’s substantial investment in advancing AI capabilities.

😵In conclusion - With Meta's official entry, the AI battlefield has heated up dramatically. Only time will tell who emerges victorious in this race to "superintelligence," but one thing is certain: the implications for our future are profound and fascinating to watch unfold.

Netherlands to promptly adopt Europe's AI act, injects $222M into the AI Industry

🧙‍♀️News - The Netherlands has stepped out as a frontrunner in the European AI landscape, announcing its immediate adoption of the EU's AI Act principles alongside a hefty $222 mln investment in domestic AI development. This bold move positions the Netherlands as a leader in responsible AI implementation, aiming to leverage the power of technology while mitigating potential risks.

The Dutch government unveiled its AI vision document on Thursday, outlining its strategy for embracing generative AI systems like ChatGPT while ensuring ethical and transparent practices. Thomas van Oortmerssen, spokesperson at the country's interior ministry, emphasized the decision to act based on existing knowledge rather than waiting for final answers. This, he stated, provides regulatory clarity beneficial for businesses.

👩‍🏫What’s more? The vision document, spanning 46 pages, acknowledges the challenges faced by Dutch companies in competing with large U.S. and Chinese AI firms, given their current dominance in software development and computing power. To address this, the document advocates for European collaboration, recognizing it as crucial to establishing a foothold in the competitive landscape of artificial intelligence.

Well, this proactive stance by the Netherlands sets a strong precedent for EU-wide AI governance.

WHO introduces AI ethics and governance guidance for large multi-modal models

News - The World Health Organization (WHO) is taking a proactive approach to the rapidly evolving field of large multi-modal models (LMMs) in healthcare by releasing new guidance on their ethical and responsible development and use. With over 40 recommendations, the guidance targets governments, tech companies, and healthcare providers to ensure responsible use of LMMs for the benefit and protection of public health.

More details on the guidance - The WHO stresses the potential benefits of LMMs across healthcare applications, from diagnosis and clinical care to medical education and scientific research. However, the guidance also outlines risks, including accessibility and affordability concerns, the possibility of 'automation bias' by healthcare professionals, and cybersecurity threats.

Dr. Jeremy Farrar, WHO Chief Scientist, emphasizes the importance of transparent information and policies to manage the design, development, and use of LMMs for better health outcomes. To ensure the safe and effective deployment of LMMs, the WHO underscores the need for engagement from various stakeholders, including governments, tech companies, healthcare providers, patients, and civil society, at every stage, including oversight and regulation. Dr. Alain Labrique, WHO Director for Digital Health and Innovation, calls for collaborative international efforts to regulate the development and use of AI technologies like LMMs.

👩🏼‍💻What else is happening?

• S&P 500 ends near record high as AI optimism lifts chipmakers

• Farm-ng makes modular robots for a broad range of agricultural work

• OpenAI CEO Sam Altman unveils vision for AI's impact on economy and society at WEF Davos

• Microsoft makes its AI-powered reading tutor free

• Coursera sees signups for AI courses every minute in 2023

• Medical AI could be ‘dangerous’ for poorer nations, WHO warns

🤖Prompt engineering tips

• Utilize contextual prompts - Make the most of contextual prompts by providing details in your requests. Specify the task, show an example of the desired output, or suggest a persona like a marketer or engineer. Giving the AI a clear tone and perspective guideline acts as a blueprint, enhancing the quality, relevance, and effectiveness of the generated output. This simple approach ensures better understanding and improved results from the AI model.

• Experiment with prompts and personas - Get creative with your requests to see how it influences the model's responses. Experiment with keywords, sentence structures, and prompt lengths to find the ideal approach. Step into different roles like a "product engineer" or "customer service representative," or even imagine being your grandmother or a celebrity chef. Mix up topics, from cooking to coding, and observe how your unique perspective and varied prompts affect the output of the multi-billion parameter language model.

• Try chain-of-thought prompting - Enhance large language models' reasoning by using chain-of-thought prompting. Break down complex problems into smaller steps, prompting the model for intermediate reasoning at each stage. This method deepens the model's understanding, resulting in more accurate and informative answers. It ensures the model comprehends the problem thoroughly, helping you gain better insights and confidence in the generated responses.

👩🏼‍🚒Discover mind-blowing AI tools

1. SpellForge.ai - A platform that helps optimize and improve the quality of AI language models (LLMs) in your existing release pipeline

2. VideoMyListing - An AI-powered tool that creates engaging videos to promote listings on various platforms like Airbnb, Etsy, and more

3. Free AI Therapist - A helpful information assistant that provides therapy-like support

4. Detail: Video Camera & Editor - An app designed for iPad that allows users to record and edit videos with ease

5. Neuproscan - An AI platform that uses MRI scans to predict the likelihood of a patient developing Alzheimer's disease

6. Kansei.app - An AI language learning platform that offers personalized language practice through immersive conversations with lifelike personas

7. Penseum - An AI-powered study tool that helps students enhance their learning experience

8. Frame - An all-in-one collaboration tool that aims to streamline and simplify the way teams work

9. Helpfull - An AI-powered business name generator that helps users create unique and catchy names for their businesses

10. Verkada - An AI-powered video security platform that offers smart, secure, and easy-to-manage solutions

11. YData - A Data-Centric AI platform that helps data scientists unlock the full potential of their data

12. Ask Fulcrum - An AI assistant designed to help product teams streamline product management tasks, improve decision-making, and provide valuable insights

13. Refactory - A tool that helps developers write better code by providing AI-powered refactoring suggestions

📖AI-based books

• Artificial Intelligence for Humans by Jeff Heaton - This book provides readers with an overview and grasp of artificial intelligence algorithms. It is meant to teach AI to people who do not have a strong math background. However, readers need a basic knowledge of college mathematics and computer programming to be able to understand the technical concepts in detail.

• Do Your Neural Work by Tariq Rashid - This Artificial Intelligence book explains neural network theory in detail and shows you how to create your own using Python. The work is bound to take you on a leisurely journey. It begins with fundamental concepts and goes up to a thorough understanding of neural network operation.

• Superintelligence: Paths, Dangers, Strategies by Nick Bostrom - The book explores the potential risks and benefits of superintelligence, suggesting that it could be created within the next few decades. It is an interesting read that delves into different ways AI could be used.