Srinvasan Venkatraman’s Post

Title: Future of Artificial Intelligence with Alexandr Wang Alexandr Wang, CEO and founder of Scale AI, discusses the potential of artificial intelligence (AI) and the need for American leadership in this rapidly evolving field. Scale AI specializes in providing high-quality training data to fuel AI applications, having worked closely with companies like OpenAI on breakthroughs like self-driving cars and large language models. Wang emphasizes that the key to recent AI advancements lies in scaling up data and computational power. However, he believes the bottleneck has been the lack of high-quality labeled data to train these models effectively. Scale AI has pioneered an AI-enabled approach to efficiently produce massive amounts of labeled data, acting as a crucial infrastructure provider for the AI industry. Discussing the significance of AI, Wang agrees with Sundar Pichai that AI is one of the most profound technologies humanity is working on, akin to fire or electricity. He predicts the next major breakthroughs will be in scientific domains like cancer research, where AI can identify patterns and solutions beyond human capabilities. Wang stresses the importance of American leadership in shaping the ethical development of AI. With the technology's potential for misuse, he believes the US, as a democratic nation upholding human rights, is uniquely positioned to imbue AI with the right values. Citing the Chinese Communist Party's willingness to use AI for human rights violations, Wang warns against ceding leadership to authoritarian regimes. On regulation, Wang acknowledges the need for reasonable guardrails to mitigate risks and prevent negligent deployment, but cautions against pausing AI development altogether, as competitors like China are aggressively pursuing AI supremacy by 2030. He advocates for continued American investment in AI research and development while thoughtfully regulating its deployment. Wang also discusses Scale AI's deliberate commitment to supporting US national security interests. Drawing parallels to the Manhattan Project, he believes AI will define the next era of American technological supremacy and that it is the duty of AI companies to modernize US defense capabilities. Despite initial skepticism, Wang has found many talented engineers eager to contribute to this mission. #AlexandrWang #ScaleAI #AI #OpenAI #ArtificialIntelligence https://lnkd.in/gggiag_c

How artificial intelligence will transform the physical world.

#AI #Open AI #Global power economic # Global control #Workforces Secret Plan Behind Artificial Intelligence https://lnkd.in/dQHjBwwE There’s a war brewing between a handful of billionaires to seize control of AI. They want you to think their tech will make the world better for all of us. We dug into what they really want.

Will AI benefit billionaires more than working class people? This video explores the topic of AI's potential impact on people from all walks of life, both in and out of the workplace. I found this one very insightful, especially quotes like this one: "If AI is built on the labor of all humanity, then it should be all of humanity that benefits." Do you agree with More Perfect Union's take, and what do you think are the chances this will actually be the case? https://lnkd.in/eYPDkfFb #artificialintelligence #AI #technology

This is a fascinating 57 minute interview with Bill Gates on Artificial Intelligence and the future we all face with it. It is not super technical. His conversational style of speaking slowly and thinking strategically and globally without hype, makes it easy to listen to. But it is a little scary if you think deeply about what "Superhuman" really means. AI will show us all to be an amazing acceleration to solve diseases, humanitarian crises, complex society issues and much more. Really very interesting. https://lnkd.in/gykC6UQv

Checkout my first blog on artificial intelligence

How To Harness Human Intelligence In An AI-Driven World

🚀 Delving into the History of #ArtificialIntelligence! 🤖 Hello LinkedIn fam! 👋 Join us on a captivating journey through the annals of time as we unravel the intriguing evolution of #AI! 💡 The Beginnings: #AI's roots trace back to ancient myths and philosophical ponderings, where tales of artificial beings with consciousness fascinated thinkers. 🌟 The Birth of AI: The 1940s ushered in a pivotal era with the invention of programmable digital computers, laying the groundwork for discussions on building an electronic brain. 🎓 The Dartmouth Workshop: In 1956, the official inception of AI occurred at Dartmouth College. Visionaries gathered, foreseeing the creation of machines as intelligent as humans within a generation. ❄️ The AI Winter: By 1974, the reality of AI's complexity became apparent, leading to a funding freeze and a period known as the "AI winter." 🚀 The AI Boom: Fast forward to the 2020s, where AI experienced a renaissance. Breakthroughs in #MachineLearning, powered by robust hardware and vast data, propelled AI to new heights, surpassing humans in various domains. 🔮 Conclusion: From ancient myths to modern marvels, AI's journey has been a testament to human ingenuity. As we march into the future, AI's role will only continue to expand, shaping the world as we know it . Let's keep pushing the boundaries of #AI together! 🌐💻 #TechInnovation #FutureTech #DigitalTransformation #AIHistory #LinkedInJourney #ai #artificialintelligence #robotics #cyborg #machinelearning #deeplearning

Have you ever thought about how AI decides what’s important and what’s not? This challenge, known as the framing problem, is one of the most complex and intriguing hurdles in artificial intelligence. The framing problem is essentially about setting the right context for AI systems. Think about it—when we communicate, we effortlessly grasp the context and nuances. For example, the phrase "the apple doesn't fall far from the tree" is instantly understood as a metaphor. But for an AI, it might start calculating the physical distance apples fall! This issue goes deeper than just interpreting phrases. It involves understanding an ever-changing environment with countless variables. AI must determine what factors are relevant in a given situation and adapt in real-time. This level of contextual awareness and flexibility is incredibly challenging to program. Maintaining relevance adds another layer of complexity. In our dynamic world, what’s relevant can shift rapidly. AI systems need to adapt continually, which is like teaching a dog new tricks every day and expecting it to remember them all perfectly. Then there’s the issue of information overload. With data pouring in from all directions, filtering out the noise to find what truly matters is a monumental task. Imagine searching for a needle in a haystack that keeps growing by the second—that’s what AI deals with every day. Despite these challenges, the progress we’ve made in AI is nothing short of amazing. Yet, humans have a leg up on this for now. Our brains are incredibly adept at filtering information, understanding context, and adapting to new situations. It’s a reminder of just how remarkable human cognition is and why replicating it in AI is such a daunting task. #ai #framing #relevance https://lnkd.in/dzFWJzn5

Join Foreign Policy and the Special Competitive Studies Project on March 14th to explore the regulatory measures and investments needed to prepare for future conflicts in an advancing world. The 6 part series offers thought-provoking insights on the advent and promise of AI, with the March 14th session focusing on Generative AI and Next Generation Defense. With the AI race booming, it's crucial for governments, nations, and other actors to ensure a technology-centered strategic approach that enables decisive offensive strategies and advanced defensive capabilities. Don't miss this opportunity to stay ahead of the curve. #AI #genai