🌍 Which Countries are more Interested in AI?Plus: Are we cyborgs-like already? And MIT shares advice on AI Policy.
Hi Everyone, Are we cyborgs already? We dive into the reasons why we may be. MIT comes to the rescue with AI Policy advice. And check what countries are more interested in AI.
💪🏽 Important AI News and Trends.
🌐 Web3 and Other Tech news.
Are We Cyborgs-like Already?The rapid advancement of AI and technology is increasingly merging human capabilities with machines, nudging us towards a "cyborg" existence. Meta's AI-powered smart glasses which they just rolled out, exemplify this shift, offering real-time information and voice control. Other VR glasses like the Apple Vision Pro offer these and more capabilities, but Meta’s RayBans sunglasses are less conspicuous. Legal implications, highlighted in cases like Riley v. California, emerge as technology becomes integral to our identity. Neuralink as well as other companies developing brain computer interfaces pushes the boundaries further with brain chips aimed at enhancing human abilities and treating diseases. Meanwhile, innovations like Martin Fussenegger's glucose-powered fuel cell for biomedical devices address power challenges in cybernetics. Excessive smartphone use has not only become a norm but also a catalyst transforming us into cyborg-like entities. Our reliance on these devices for navigation, information search, AI tools, social media, and various apps has shifted a significant portion of our cognitive functions to these handheld devices. They've become so integral to our daily existence that venturing outside without them feels almost unthinkable. This dependency prompts a critical question: are we moving towards a future where brain implants will be necessary to navigate and thrive in our increasingly complex urban environments? The concept of brain augmentation, once a sci-fi fantasy, is inching closer to reality, potentially altering our relationship with technology and challenging our very definition of human capability. These developments, while promising, raise ethical concerns about identity, privacy, and societal inequality, underscoring the profound impact of this human-machine fusion on our daily lives and future. 💡 🚀 Turn Your Website Into a Lead Generation MachineImagine if your website could attract more potential customers effortlessly. That's exactly what dofollow.com does for your business. They help SaaS businesses shine on search engines like Google, even if you're not an SEO expert. Get in front of more customers by having the world’s most powerful high-quality backlinks to your business each month from sites like BigCommerce, Canva, Cloudways & 100s more.
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MIT to guide US on AI PolicyAn MIT committee has released a series of policy papers aimed at guiding U.S. AI governance. The initiative seeks to maintain U.S. leadership in AI, limit potential harms, and promote societal benefits. The main recommendation is to regulate AI through existing government entities, tailoring regulations to the specific purposes of AI tools. The papers also suggest developing new oversight mechanisms, including a potential self-regulatory organization for AI. Key issues addressed include legal challenges in AI, such as intellectual property and advanced surveillance capabilities. Overall, the initiative emphasizes the need for responsible AI governance that balances technological advancement with societal and ethical considerations. Follow the Money
Check the Latest AI Global Interest ReportThis "Generative AI Global Interest Report 2023" reveals the expanding influence of generative AI tools in fields like marketing, journalism, and the arts. The map shows every nation their AI interest score. Key findings include the Philippines' high search volume for AI tools, ChatGPT's popularity in the U.S. and other countries, and Midjourney's leading in image generation. Text AI tools are the most sought-after globally, followed by audio and image AI, while video AI is still developing. The report underscores concerns about AI's reliance on human-generated content and its control by a few corporations, highlighting the need for ethical considerations in AI's cultural and creative impact. Cheat Sheet of the Week
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🤔 What Does that even Mean?Generative Adversarial Networks (GANs): A class of machine learning frameworks designed by two neural networks contesting with each other in a game. Example: In a fashion company, GANs are used where one neural network designs new clothes and another judge them, helping to create innovative and trendy designs by learning from each other's feedback. 🧰 AI Tools of the DayGift Ideas.
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Wednesday, December 13, 2023
๐ Which Countries are more Interested in AI?
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