Larry Ducre’s Post

Is AI a Monster Coming to Get You? In today's world, the headlines scream about AI taking over our lives, spying on us, and even rendering us jobless. But let's cut through the noise and get to the heart of the matter: One of the most critical and often ignored concepts about AI is that it is not a singular entity. AI is a collection of diverse algorithms created by programmers from around the globe, each with unique objectives and characteristics. AI Reflects Its Creators. AI is built to reflect the values, beliefs, and biases of its creators. This means that if an AI's creator tells it to lie, it will lie. If it tells it to cheat, it will cheat. This makes AI incredibly powerful but also deeply complex. Each AI system is a tapestry woven from millions of unique threads, each representing the distinct perspective of its programmer. This diversity is what gives AI its strength and versatility, but it also introduces significant challenges. The Challenge of Regulation. Think AI can be regulated? Legislated? Controlled? Think again! Because of its diversity, AI cannot be easily controlled or regulated. A one-size-fits-all approach is impossible due to the unique and ever-evolving nature of these algorithms. The actions of AI reflect the intentions and instructions of their human programmers. This variability makes standardization a monumental challenge. Geopolitical AI: Russia, the US, and China Russia, the US, and China all have their own unique versions of AI, geared to meet their specific needs and goals. Each nation’s AI development is intended to place them as leaders in the geopolitical world. Russian AI focuses heavily on surveillance and military applications, leveraging AI to enhance national security and strategic capabilities. The US, with its robust tech industry, prioritizes innovation and commercialization, using AI to drive economic growth and maintain technological superiority. Meanwhile, China aims to become the global leader in AI by 2030, investing heavily in AI research and applications to boost its economy and expand its influence. These differing goals and strategies highlight the diverse nature of AI development across the globe and underscore the challenges of creating universal standards for AI. A Call to Action for Experts In our high-tech, interconnected world, understanding AI's true nature is more critical than ever. Stay ahead of the curve with the latest insights on AI and technology. Follow us for more! Linda Restrepo Soundtrack: Fair Use Educational: “Unstoppable” #AI, #ArtificialIntelligence, #DeepLearning, #MachineLearning, #AIResearch, #TechInnovation, #FutureTech, #AITrends, #TechNews, #AIExplained, #MadScientist, #AICommunity, #AIInsights, #TechEducation, #AIAdvancements

Is AI a Monster Coming to Get You? In today's world, the headlines scream about AI taking over our lives, spying on us, and even rendering us jobless. But let's cut through the noise and get to the heart of the matter: One of the most critical and often ignored concepts about AI is that it is not a singular entity. AI is a collection of diverse algorithms created by programmers from around the globe, each with unique objectives and characteristics. AI Reflects Its Creators. AI is built to reflect the values, beliefs, and biases of its creators. This means that if an AI's creator tells it to lie, it will lie. If it tells it to cheat, it will cheat. This makes AI incredibly powerful but also deeply complex. Each AI system is a tapestry woven from millions of unique threads, each representing the distinct perspective of its programmer. This diversity is what gives AI its strength and versatility, but it also introduces significant challenges. The Challenge of Regulation. Think AI can be regulated? Legislated? Controlled? Think again! Because of its diversity, AI cannot be easily controlled or regulated. A one-size-fits-all approach is impossible due to the unique and ever-evolving nature of these algorithms. The actions of AI reflect the intentions and instructions of their human programmers. This variability makes standardization a monumental challenge. Geopolitical AI: Russia, the US, and China Russia, the US, and China all have their own unique versions of AI, geared to meet their specific needs and goals. Each nation’s AI development is intended to place them as leaders in the geopolitical world. Russian AI focuses heavily on surveillance and military applications, leveraging AI to enhance national security and strategic capabilities. The US, with its robust tech industry, prioritizes innovation and commercialization, using AI to drive economic growth and maintain technological superiority. Meanwhile, China aims to become the global leader in AI by 2030, investing heavily in AI research and applications to boost its economy and expand its influence. These differing goals and strategies highlight the diverse nature of AI development across the globe and underscore the challenges of creating universal standards for AI. A Call to Action for Experts In our high-tech, interconnected world, understanding AI's true nature is more critical than ever. Stay ahead of the curve with the latest insights on AI and technology. Follow us for more! Linda Restrepo Soundtrack: Fair Use Educational: “Unstoppable” hashtag #AI, hashtag #ArtificialIntelligence, hashtag #DeepLearning, hashtag #MachineLearning, hashtag #AIResearch, hashtag #TechInnovation, hashtag #FutureTech, hashtag #AITrends, hashtag #TechNews, hashtag #AIExplained, hashtag #MadScientist, hashtag #AICommunity, hashtag #AIInsights, hashtag #TechEducation, hashtag #AIAdvancements

"AI is a collection of diverse algorithms created by programmers from around the globe, each with unique objectives and characteristics. AI Reflects Its Creators. AI is built to reflect the values, beliefs, and biases of its creators. This means that if an AI's creator tells it to lie, it will lie. If it tells it to cheat, it will cheat. This makes AI incredibly powerful but also deeply complex." Since AI is an extension of every individual programmer's character, individual programmer is the key to regulation. We have countless characters to deal with regulation, and it is the phase (different times, different ages, and different geographic regions) dependent. How can we regulate it if we don't know who is behind the data (AI algorithm) content creation? A revolutionary platform that provides data lineages will facilitate this regulation process. A computing architectural secure system (CASS) has a distribution list (DL) in its data structure, which provides this function. US10972256 and US8509424 detailed explanations about the CASS. Please also refer to www.Archss.com.

Is AI a Monster Coming to Get You? In today's world, the headlines scream about AI taking over our lives, spying on us, and even rendering us jobless. But let's cut through the noise and get to the heart of the matter: One of the most critical and often ignored concepts about AI is that it is not a singular entity. AI is a collection of diverse algorithms created by programmers from around the globe, each with unique objectives and characteristics. AI Reflects Its Creators. AI is built to reflect the values, beliefs, and biases of its creators. This means that if an AI's creator tells it to lie, it will lie. If it tells it to cheat, it will cheat. This makes AI incredibly powerful but also deeply complex. Each AI system is a tapestry woven from millions of unique threads, each representing the distinct perspective of its programmer. This diversity is what gives AI its strength and versatility, but it also introduces significant challenges. The Challenge of Regulation. Think AI can be regulated? Legislated? Controlled? Think again! Because of its diversity, AI cannot be easily controlled or regulated. A one-size-fits-all approach is impossible due to the unique and ever-evolving nature of these algorithms. The actions of AI reflect the intentions and instructions of their human programmers. This variability makes standardization a monumental challenge. Geopolitical AI: Russia, the US, and China Russia, the US, and China all have their own unique versions of AI, geared to meet their specific needs and goals. Each nation’s AI development is intended to place them as leaders in the geopolitical world. Russian AI focuses heavily on surveillance and military applications, leveraging AI to enhance national security and strategic capabilities. The US, with its robust tech industry, prioritizes innovation and commercialization, using AI to drive economic growth and maintain technological superiority. Meanwhile, China aims to become the global leader in AI by 2030, investing heavily in AI research and applications to boost its economy and expand its influence. These differing goals and strategies highlight the diverse nature of AI development across the globe and underscore the challenges of creating universal standards for AI. A Call to Action for Experts In our high-tech, interconnected world, understanding AI's true nature is more critical than ever. Stay ahead of the curve with the latest insights on AI and technology. Follow us for more! Linda Restrepo Soundtrack: Fair Use Educational: “Unstoppable” hashtag #AI, hashtag #ArtificialIntelligence, hashtag #DeepLearning, hashtag #MachineLearning, hashtag #AIResearch, hashtag #TechInnovation, hashtag #FutureTech, hashtag #AITrends, hashtag #TechNews, hashtag #AIExplained, hashtag #MadScientist, hashtag #AICommunity, hashtag #AIInsights, hashtag #TechEducation, hashtag #AIAdvancements

"AI is a collection of diverse algorithms created by programmers from around the globe, each with unique objectives and characteristics. AI Reflects Its Creators. AI is built to reflect the values, beliefs, and biases of its creators. This means that if an AI's creator tells it to lie, it will lie. If it tells it to cheat, it will cheat. This makes AI incredibly powerful but also deeply complex." Since AI is an extension of every individual programmer's character, individual programmer is the key to regulation. We have countless characters to deal with regulation, and it is the phase (different times, different ages, and different geographic regions) dependent. How can we regulate it if we don't know who is behind the data (AI algorithm) content creation? A revolutionary platform that provides data lineages will facilitate this regulation process. A computing architectural secure system (CASS) has a distribution list (DL) in its data structure, which provides this function. US10972256 and US8509424 detailed explanations about the CASS. Please also refer to www.Archss.com.

AI's potential faces a new challenge called "model collapse," highlighting the need for high-quality, human-generated data and transparency in AI development. - 📉 AI models risk losing accuracy as they increasingly train on their own outputs, leading to a decline in content quality. - 🧠 Maintaining access to diverse, human-generated data is essential for preserving the relevance and creativity of AI. - 🤝 Transparency and collaboration in the AI community can help prevent the recycling of AI-generated content, ensuring more accurate results. - 🔄 Periodically reintroducing AI models to fresh human data can slow down the process of model collapse, keeping AI systems reliable. #AI #Innovation #TechFuture - 💡 AI's reliance on original human data prevents it from becoming an "echo chamber" of its past outputs. - 🛠 Businesses adopting AI now, while models are still trained on human data, can benefit from higher-quality results. - 🚨 Proactive strategies like regular data refreshes are crucial to keeping AI grounded in real-world information. - 📊 As AI evolves, balancing innovation with ethical standards and data integrity will be key to its sustainable development. https://lnkd.in/gqv7EVaq

🤖 AI: Artificial Intelligence, a term that is fueling excitement, anxiety, and endless debates. As we step into the age of technological advancements, it's impossible to ignore the impact of AI on our lives. Today, I invite you to join me on a thought-provoking journey into the fascinating world of AI. Buckle up, for the future has arrived! ✨ AI, a game-changer in every industry: - From healthcare to finance, automotive to agriculture, AI is revolutionizing every sector. - With its ability to analyze massive amounts of data and uncover patterns, AI is boosting efficiency, productivity, and innovation. - By automating repetitive tasks, AI frees up human resources to focus on more strategic and creative endeavors. 💡 AI and job displacement: - Questions surrounding job displacement in the wake of AI are both valid and important. - While some jobs may be automated, AI also creates new opportunities and demands new skill sets. - The key lies in embracing AI as a collaborator, enabling humans to work alongside these intelligent systems. 🧠 AI: Superintelligent or merely task-oriented? - The notion of AI surpassing human intelligence often conjures dystopian images from science fiction. - However, it's crucial to understand that today's AI is task-specific and lacks the holistic awareness of human cognition. - AI excels at solving specific problems, but it heavily relies on human design, supervision, and training. 🔑 The human touch in the age of AI: - While AI provides convenience, efficiency, and precision, it cannot replicate human emotions, intuition, and empathy. - The human touch is vital in areas such as customer service, healthcare, and creative fields that require emotional intelligence and a deep understanding of human interactions. - By leveraging AI's capabilities, we can enhance and amplify our human skills, creating a powerful synergy between man and machine. 🌐 Ethical considerations in AI development and deployment: - As AI becomes integrated into our society, we must address the ethical implications. - Fairness, transparency, and accountability should guide the development and deployment of AI systems. - Striking the right balance between innovation and responsibility is crucial to ensuring a future where AI benefits all. 🚀 Embrace the possibilities: - The potential of AI is limitless, and its integration into our lives demands an open mind and a willingness to adapt. - Embracing AI means investing in reskilling and upskilling, enabling ourselves to thrive in a technology-driven world. - Let's seize the opportunities presented by AI, harnessing its power to create a future that is intelligent, inclusive, and impactful. ✨🤖✨ Are you ready to ride the AI wave? Share your thoughts, experiences, and aspirations in the comments below! Let's shape the future together. #AI #ArtificialIntelligence #FutureOfWork #Innovation #Tech #HumanTouch

🤖 The Uncharted Intersection of AI and Our Future: A Canvas of Possibilities In the ever-expanding universe of technology, AI emerges not merely as a new frontier but as the very fabric that could define our future. 1. A Kaleidoscope of Industries Transformed: Imagine healthcare, where AI's predictive analytics preemptively crafts patient care tailored to the individual's DNA, or finance, where decisions are not just made but foreseen with AI's insight. These visions tantalize with potential, yet they whisper the question: In embracing AI, how do we navigate the balance between innovation and intrusion, progress and privacy? 2. The Evolution of Technical Mastery: The cradle of tomorrow's tech landscape cradles not just the skills we know but those yet to be defined. + The Philosophers of AI: Beyond the algorithms and models, there lies an emergent domain of ethics in AI. Will the philosophers of code become as sought after as the developers themselves? + The Renaissance of Interdisciplinary Skills: As AI bleeds into diverse fields, the fusion of AI with non-tech disciplines paints a future rich with hybrid roles. Could the next genius not be a programmer in solitude but a collaborator in diversity? 3. Ascending Together: As we navigate the confluence of human potential and artificial intelligence, it's not merely about AI assisting in our daily tasks but about fundamentally enhancing our ability to experience and impact the world. This partnership with AI beckons us towards a horizon where our innate capabilities are not only magnified but also redefined. In this future, AI acts as a catalyst for human ascension, transforming the way we solve problems, innovate, and understand our universe. It's about harnessing AI to enhance our cognitive faculties, such as memory and decision-making, enabling us to make leaps in science, medicine, and technology at a pace and depth unimaginable before. This vision of ascension is not a distant dream but a tangible path forward, where the fusion of human intellect and artificial intelligence opens up a new plane of possibilities. It's a future where each individual's potential is unlocked at an exponential scale, leading to a society that not only excels in technological prowess but flourishes in its humanity. In this ascent, we're not just elevating our abilities but reimagining the essence of what it means to be human, empowered by AI to explore the farthest reaches of creativity, empathy, and innovation. The journey into the AI epoch is as much about the paths we choose as the destinations we imagine. The real quest lies in nurturing a dialogue that bridges the human and the artificial, challenging us to envision a shared future that remains unwritten. #AI #FutureOfWork #EthicalAI #LifelongLearning #HumanAIcollaboration

This is the goal for our #artificialgeneralintelligence prototype 🌱⏳🌳 The future has to be designed and constructed to be brought into reality ✅ Waiting for it to happen without doing anything but wasting time complaining, is not the answer ❌ I remember years ago in 2017.. we had an idea, that if we could build the Strongest and most Advanced #artificialintelligence, we would be able to accelerate the technological development of our civilization. But we also had to be realistic 📝 we knew that most of the technological requirements simply did not readily exist at that time to make an AI like that possible. Instead of just giving up and waiting for someone many generations later, or by art of magic, maybe building it, we had to figure it out ourselves now. So that’s what we did.. we started small by understanding what we needed to accomplish to build an AI like the one we described, made the appropriate designs and plans, steadily following an agenda while continuing to grow to the point where we can confidently say that creating Full #ai is possible. The list of achievements towards accomplishing that goal deserves a post of its own but, in the meantime I want to thank everyone that is doing their part in helping the Jada Ai project grow, it would be impossible without you, so thank you 🤝 Anyone interested in helping us build the future, send us a message 📧 Thank you Maria Hernandez Elias for the wonderful post 🥳

This is what intrigues me on Jada Jada Ai differs from conventional Large Language Models (LLMs) in two main ways: its Imaginos Neuro Engine (INE) and its Soul Seed Singularity (S3) Architecture. The INE allows Jada to understand new problems and devise zero-flaw solutions across any scenario, while the S3 enables Jada to upgrade its own source code and evolve into a Level 4 Artificial Super Intelligence (ASI). These features make Jada a truly sentient and self-improving.