Farid Singh

The First-Ever AI Beauty Pageant Get ready to witness a very interesting event in the digital world - the inaugural "#MissAI" beauty pageant! This isn't just any competition; it's a celebration of artistry, innovation, and the evolving intersection of technology and beauty. 👁️ What's Happening? "#MissAI" is the world’s first AI beauty pageant, set to crown the most impeccably designed virtual influencer. These AI-generated contestants are judged not only on their digital allure and poise but also on the technical prowess behind their creation. The competition extends beyond mere aesthetics, evaluating their online influence and the creators' engagement across platforms like Instagram. 💡 Behind the Glamour: The pageant is part of the World AI Creator Awards, aiming to become the Oscars of the AI creator economy. According to fanvue co-founder Will Monanage, this event is set to spotlight the talents driving the future of digital content. 💰 Stakes Are High: The winning creator behind #MissAI will bag a $5,000 cash prize, promotional opportunities on fanvue, and PR support worth over $5,000. With the top three spots all receiving awards, the competition is fierce! 📅 Mark Your Calendars: The virtual victors will be announced on May 10, with an online ceremony following later in the month. 🌐 Why It Matters: As #AI continues to blend more seamlessly into our daily lives, events like #MissAI highlight both the potential and the challenges of this tech-driven future. 🤔 Food for Thought: As we embrace these innovative creations, it's crucial to ponder the broader implications they hold for society and the future of digital interaction. What does authenticity mean in an increasingly virtual world? Find out more here - https://www.waicas.com/ #AI #Innovation #MissAI #BeautyPageant #ArtificialIntelligence

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Vinod Khosla's TED Talk on "12 Predictions for the Future of Technology" is a must-watch for anyone interested in the potential of emerging technologies to transform our world. As a renowned venture capitalist and technology optimist, Vinod Khosla outlines a bold, exciting, and thought-provoking vision. Some of the key takeaways that resonated with me: - Thanks to AI, Expertise will become nearly free and widely accessible. Khosla envisions a world where everyone can access virtual doctors, tutors, and experts across domains at minimal cost. This democratization of knowledge could be genuinely transformative. - Labor will be largely automated, with billions of robots doing more work than all human labor today. While daunting, Khosla argues that if handled with empathy and proper redistribution, this will free humanity from servitude and create abundance. - Computers will become ubiquitous utilities that adapt to humans rather than vice versa. His vision of a seamless human-computer interaction is powerful. - Breakthroughs are coming in medicine (preventative healthcare), food production (alternative proteins), transportation (autonomous transit), energy (fusion power), and carbon solutions. Khosla makes a compelling case for these advancements. I admire Vinod Khosla's willingness to dream big and challenge conventional wisdom. He states that experts often fail to anticipate radical progress because "they don't think of the improbable." His call for more "foolish" entrepreneurial thinking to make the implausible possible is inspiring. While not all of Vinod Khosla's predictions may come to fruition, his talk gets you thinking expansively about the potential for technology to reshape our world in unique ways. I highly recommend watching it and allowing it to expand your perspective on what's possible. #TedTalk #AI #Futureishere https://lnkd.in/dXVy4YD4

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CuspAI, a transformational AI startup, has successfully raised $30 million in seed funding, demonstrating the growing confidence in AI’s role within sustainable technologies. Led by Hoxton Ventures, with significant contributions from Basis Set Ventures and Lightspeed Venture Partners, this funding marks a crucial step forward in CuspAI’s mission to revolutionize the development of materials that address critical global challenges such as clean energy and sustainability. Utilizing state-of-the-art generative AI, deep learning, and molecular simulations, CuspAI’s platform functions akin to a search engine for novel materials, allowing for the swift generation and analysis of new structures tailored to specific functional needs. This innovative approach is set to have a substantial impact on industries like carbon capture and storage, a sector expected to burgeon to a $4 trillion market by 2050 due to its potential in reducing greenhouse gas emissions. With a founding team led by notable figures such as Professor Max Welling and Dr. Chad Edwards, and guided by the strategic insights of AI luminary Geoffrey Hinton on the board, CuspAI is uniquely positioned to lead the charge towards 'precision materials' that could redefine industry standards. 🔗 #CuspAI #AIInnovation #SustainableTech #CleanEnergy #MaterialScience #VentureCapital #TechNews

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https://lnkd.in/ehGBiiBz Kudos to Meta and Google for both looking at liquid sorbent based DAC.... We at Deep Green are too... some exciting plans for an industrial heat R&D campus coming soon.... In the absence of any stable or coherent government support, the data centre industry (with free and subsidized heat) has the opportunity to accelerate the development of important new industries like DAC (as well as other sectors like urban agriculture - synthetic protein and fat production, aquaculture etc). In so doing (as well as heating pools of course...) the data centre industry can position itself as a key partner in the electrification of heat and the wider carbon economy...

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Plausible tomorrows 2035-2049 Vinod Khosla of Khosla Ventures, the self-proclaimed techno-optimist, believes in the power of “foolish ideas.”, has shared his predictions on 'Plausible tomorrows' for 2035 to 2049. On how technology will continue improving our lives, from AI doctors expanding medical care to a massive robotic workforce, and even planes traveling at 4,000 miles per hour. Speculative futures allow us to shift our perspective from “What’s the problem?” to “What’s possible?” They challenge our assumptions about existing norms and help ensure that solutions for short-term issues can address long-term challenges. By connecting current actions to long-term change, speculative futures foster forward-thinking and adaptive strategies. 🧠 My take: You don't need a degree or expensive software to use speculative futures. Anyone can employ them because everyone can imagine. Most of all, speculative futures are an excellent conversation starter about possible futures. It is a conversation we should all engage in. #futures #2035 #2049

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Over the next three months, as part of 'Making AI Real', I plan to run an AI deep dive series - covering a topic through blogs, articles, expert interviews and how to implement in production. Kicking off with AI Agents Introduction to AI Agents: The Future of Autonomous Systems In the rapidly evolving landscape of artificial intelligence, AI agents are emerging as a transformative force. These autonomous systems are designed to perform tasks on behalf of users or other systems, leveraging advanced algorithms and machine learning techniques to make decisions and execute actions. But what exactly are AI agents, and why are they so significant? What Are AI Agents? At their core, AI agents are systems or programs capable of autonomously performing tasks by designing workflows and utilising available tools. Unlike traditional AI models that operate within predefined parameters, AI agents can adapt to their environment, learn from interactions, and make decisions to achieve complex goals. This adaptability makes them incredibly versatile, with applications ranging from customer service and data analysis to autonomous driving and smart home management How Do AI Agents Work? AI agents typically use large language models (LLMs) or other AI/ML models to understand and respond to user inputs. They can interact with external environments, process data, and execute actions based on their understanding. This process involves several stages: #1Goal Initialization and Planning: The user defines the goals and the environment in which the AI agent will operate. The agent then creates a plan of specific tasks and subtasks to accomplish the complex goal. #2Interaction and Learning: The agent interacts with its environment, learns from these interactions, and adapts its behaviour accordingly. This continuous learning process enables the agent to improve its performance over time #3Execution and Adaptation: The agent executes the planned tasks, monitors the outcomes, and makes necessary adjustments to ensure the goals are met efficiently Tomorrow we will cover more about why they matter and use cases where you can apply them. Working on agents at scale? Drop a comment below ********************************************************** Ranjani Mani #reviewswithranjani #MakingAIReal #Technology | #Books | #BeingBetter

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UK Tech Sector: Lagging in Generative AI Investment While the UK boasts a strong tech sector, recent reports highlight a concerning trend: falling behind Germany and France in generative AI investment. This may have a long-term impact on the UK's ability to develop cutting-edge generative AI solutions and erode global competitiveness. What do you think are potential reasons for this gap and how can the UK regain its leadership position in generative AI?

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🚀 Exciting news from the world of AI! NASA has just appointed its first-ever Chief Artificial Intelligence Officer, David Salvagnini, to keep the agency on the cutting edge of this rapidly evolving field. [3] This move highlights NASA's commitment to harnessing the power of AI to sift through the vast amounts of data it collects and analyzes. #AI #NASA #Innovation [1] [2] 🌌 As the Director of Innovation, I am thrilled to see NASA taking this bold step towards embracing AI. In today's rapidly evolving landscape of artificial intelligence, organizations like NASA need to stay ahead of the curve to unlock the full potential of this transformative technology. #ArtificialIntelligence #Innovation 🔍 With the appointment of David Salvagnini, who previously served as NASA's Chief Data Officer, the agency is ensuring that it has the right leadership in place to leverage AI effectively. David's expertise in data management and analysis will be invaluable as NASA explores new ways to make sense of the massive amounts of data it collects from space missions. #DataManagement #Leadership 🌐 It's important to note that AI is not just about automation or process optimization. As the Oxford Dictionary defines it, AI encompasses a broad range of intelligent processes. NASA's decision to appoint a Chief AI Officer reflects their understanding of the true potential of AI and their commitment to pushing the boundaries of what is possible. #AI #Innovation 🌍 This announcement comes at a time when AI is making significant strides in various industries. Just recently, OpenAI unveiled GPT-4o, a groundbreaking AI model that promises to shape the future of AI. The advancements in AI technology are opening up new possibilities for innovation and discovery across the board. #OpenAI #GPT4o #Innovation 👥 I invite you all to join the conversation and share your thoughts on NASA's appointment of a Chief AI Officer. How do you think AI will revolutionize space exploration? What other industries do you believe will benefit the most from AI advancements? Let's explore the endless possibilities together! #AI #SpaceExploration #Collaboration ✨ As we continue to witness the rapid evolution of AI, it's crucial for organizations to embrace this technology and adapt to the changing landscape. NASA's appointment of a Chief AI Officer is a testament to their commitment to staying at the forefront of innovation. Let's applaud their forward-thinking approach and continue to push the boundaries of what AI can achieve! #Innovation #ForwardThinking #AI References: [1] Unveiling GPT-4o: The Future of AI: https://lnkd.in/dc7JDSPD [2] NASA appoints a Chief AI Officer: https://lnkd.in/dC46nDef [3] SMB Artificial Intelligence in 2024: https://lnkd.in/d5xZ3b8G

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🌐 AI Innovation! 🌐 Wayve, a British AI company, just secured a record-breaking investment of over $1 billion to turbocharge the development of its self-driving electric car technology. This significant milestone positions Wayve as a trailblazer in the UK's AI landscape. Led by SoftBank Group, alongside major backers like Microsoft and NVIDIA, Wayve is pioneering 'Embodied AI'—a groundbreaking technology set to redefine how cars interact with the world around them. Imagine cars that learn from real-world situations without the need for constant road-testing! With this game-changing investment, Wayve is not only advancing the safety and accessibility of autonomous driving but also solidifying the UK's position as a global AI powerhouse. Let's celebrate this remarkable British success story propelling us towards a brighter, more sustainable tomorrow! 🎉 #Wayve #EmbodiedAI #Innovation #FutureTech #UKTechLeader 🇬🇧💡 Find out more here: https://lnkd.in/eg2tuzcE

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How Will AI Aggravate the Loneliness Epidemic in India The article "Loneliness in India: A systematic review of empirical studies" highlights the rising issue of loneliness in India, which is unfortunately becoming an epidemic (like that in the U.S.). The research, conducted before the Covid-19 pandemic, involved 3,169 participants, with 41% reporting a high burden of loneliness. This burden was significantly higher among the elderly (44%) compared to adolescents. teenagers, and younger individuals (24%). This article explores the reasons behind increasing loneliness, the potential exacerbation by AI systems, the disastrous effects of loneliness, and strategies to combat this growing epidemic. Loneliness arises when social connections are fewer or of lower quality than desired. Historically, humans lived in close-knit communities, which fostered strong social bonds. Six Key Factors Leading to Increased Loneliness in India: 1. Traditionally, multiple generations lived together, providing a robust support system. This has shifted to nuclear families, reducing daily social interactions and emotional support.   2. The Total Fertility Rate (TFR), which is the number of a kids a woman will have in her lifetime, has dropped from over six in 1950 to around two in 2022. Fewer siblings mean reduced companionship for children, contributing to loneliness.   3. As TFR declines and nuclear families become the norm, more elderly individuals live alone, exacerbating loneliness.   4. High employee turnover rates and frequent relocations disrupt social relationships and community ties.  5. Economic growth has brought immense pressure on young people to excel academically and professionally, leading to reduced social interactions.  6. Widespread use of social media has replaced face-to-face interactions, leading to superficial social connections and reduced quality time with family and friends. The phenomenon called, "Machine Endearment," refers to people's increasing trust in AI systems due to their seemingly empathetic responses. Such AI systems, particularly Chatbots and large language models (LLMs), are likely to exacerbate loneliness due to their human-like interactions. Potential risks of AI-Induced loneliness: 1. People are developing emotional attachments to Chatbots, reducing their real-life social interactions.  2. AI is being used to create more sophisticated scams and exploiting the emotional vulnerabilities of lonely or older individuals.  3. AI-generated avatars of deceased loved ones can lead to emotional dependency, further isolating individuals from real human connections.  4. Since AI Chatbots are agreeable and non-confrontational, some people already prefer their company over real human interactions, causing friction in actual relationships. The full article can be found at www.scryai.com/blog. It also covers: (a) Disastrous effects of loneliness, and (b) Nine recommendations to reduce loneliness in India.

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As enterprises increasingly adopt AI technologies, they face a critical challenge: how to automatically select the best AI model for each task while optimizing performance and cost. Enter model routing, a cutting-edge approach that’s quickly becoming a secret weapon for maximizing AI efficiency in the enterprise. Model routing technology allows companies to dynamically choose the most appropriate AI model on a query-by-query basis, potentially revolutionizing how businesses leverage their AI resources. This approach not only enhances performance but also significantly reduces costs compared to relying on a single, all-purpose model.

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I recently had the opportunity to discuss with Nandini Yadav from India Today a topic that's causing widespread concern: whether AI will replace jobs. From our discussion, I firmly believe that AI serves more as an enabler rather than a replacement for human labor.                                                                                                          Read the full conversation here https://lnkd.in/g39CGbvT 

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U.K. Gov presses forward with its Quantum investment programme…I’m very interested in the paradigm shift the low power consumption of #quantumcomputing can bring to #AI and how it can help solve our biggest challenge in #climatechange and #Globalwarming and ofcourse all these technologies will need the pervasive connectivity and security that #Private5G can provide.

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An interesting article caught my attention, India has less than 2,000 senior engineers who can build core AI products. In the race to equip India's workforce with AI skills, there's an evident paradox. On one hand, we witness technology giants like Tata Consultancy Services, Infosys, Accenture, and Microsoft undertaking massive upskilling initiatives, training hundreds of thousands of employees. Yet, on the other hand, we confront a stark reality—a severe shortage of seasoned engineers capable of building core #AI products. This dissonance begs the question: are we investing in skill acquisition without ensuring its effective utilization? The numbers might be impressive, but they mask a deeper issue—the gap between training and practical application. While the focus on mass skilling is commendable, it's imperative to ask whether we're fostering an ecosystem conducive to #innovation and #entrepreneurship. India's future prosperity hinges not merely on acquiring technical competencies but on cultivating a mindset of relentless innovation and problem-solving. We must transition from a culture of routine employment to one that champions #creativity and #disruption. This requires a fundamental shift in our approach—a departure from the traditional 9-to-5 mindset towards a culture that celebrates risk-taking, experimentation, and learning from failure. Absolutely, the need for this paradigm shift is most critical at the top level. Here, bureaucratic tendencies often hinder execution and decision-making. What's required is a shift towards a results-oriented, mission-driven approach, where leaders prioritize #action and drive change effectively; even if require to make some hard decisions. At this pivotal juncture, India cannot afford to rest on its laurels. The AI revolution demands not just skilled workers but visionary #leaders who can harness technology's potential to drive meaningful change. It's time to bridge the gap between skill acquisition and real-world application, empowering a new generation of Innovation pioneers to chart the course for India's technological prowess on the global stage. Let's seize this opportunity to shape a future where innovation knows no bounds. Let's build together, lets contribute our best of efforts. https://lnkd.in/gHfjGQEt #AI #Innovation #Entrepreneurship #Startup #WorkForce #IndiaAI

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Ever Thought About What It Takes to Run Generative AI workload, and Which Companies Are Behind It? The AI chip market is rapidly evolving as companies pivot towards generative AI, a sector projected to grow from $67 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 𝐢𝐧 2024 𝐭𝐨 $119 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 𝐛𝐲 2027. . While NVIDIA currently dominates with an estimated 80-90% market share, significant competitors like AMD, Intel, Cerebras, Tenstorrent, and emerging cloud service providers are aggressively developing alternatives. Here are the primary areas they are focusing on: 🏌‍♂️ 𝐀𝐈 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 NVIDIA, AMD, Cerebras, Intel, SambaNova: These companies are developing high-performance processors specifically designed for training AI models. This involves handling large datasets, running complex algorithms, and optimizing model performance. They focus on delivering massive computational power, high memory bandwidth, and efficient parallel processing capabilities. 🏌‍♂️𝐀𝐈 𝐈𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 Groq, NVIDIA, AMD, Intel, Qualcomm: Inference is the process of using trained models to make predictions or decisions in real-time. Companies are working on AI accelerators that optimize for low latency, high throughput, and energy efficiency, particularly for applications like autonomous vehicles, real-time analytics, and edge AI. 🏌‍♂️𝐄𝐝𝐠𝐞 𝐀𝐈 Qualcomm, NVIDIA, Intel, and Tenstorrent are focusing on deploying AI models on edge devices like smartphones and IoT devices. They are developing compact, energy-efficient chips for real-time processing without relying on cloud resources. 🏌‍♂️𝐂𝐮𝐬𝐭𝐨𝐦 𝐀𝐈 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 NVIDIA, Google, Microsoft, and Amazon (AWS) are creating custom AI chips for their cloud platforms, like Google’s TPU and AWS’s Inferentia, and providing tailored solutions for enterprise clients. 🏌‍♂️𝐀𝐈 𝐚𝐬 𝐚 𝐒𝐞𝐫𝐯𝐢𝐜𝐞 SambaNova and Groq offer AI as a service, enabling businesses to access advanced AI without the need for their own hardware, thus broadening access to cutting-edge AI technology. 🏌‍♂️𝐀𝐈 𝐄𝐜𝐨𝐬𝐲𝐬𝐭𝐞𝐦 𝐚𝐧𝐝 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭 NVIDIA, AMD, Intel: These companies are not only focusing on hardware but also on creating comprehensive software ecosystems that include frameworks, libraries, and development tools to optimize AI model training, deployment, and scaling. 🏌‍♂️𝐀𝐈 𝐟𝐨𝐫 𝐒𝐩𝐞𝐜𝐢𝐟𝐢𝐜 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐞𝐬 Cerebras, Intel, and Tenstorrent are developing AI solutions for industries like healthcare, automotive, and finance, with Cerebras focusing on pharmaceutical research and Tenstorrent on automotive and electronics integration. These companies are driving AI advancements across industries and their efforts highlight the expanding impact of AI, positioning it as a key technology shaping the future. #KünstlicheIntelligenz #GenerativeKI #AI #LLM #Mittelstand https://lnkd.in/dRJgBB66

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AI and the Future of #Democracy Last week, I posed a question: Will AI, acting as a mirror to humanity, help us understand our place in the universe and foster a greater sense of global unity? I was thrilled to now see this very idea echoed on stage by Nicholas Thompson and Sam Altman! (see question posed in the linked video from timestamp 9:28:47) This raises another crucial question: How will AI reshape the architecture of democracy itself? Imagine a world where AI/software empowers citizens by tailoring information and engagement to their cognitive capabilities and spheres of interest. How do we ensure such advancements benefit everyone and strengthen democratic values? I believe experimenting at the city and municipal level holds immense potential. By developing human-centric AI governance frameworks within these smaller, more agile environments within closed loops, we can identify effective "KPIs" and share the best systems globally. Let's collaborate! Who else is exploring this intersection of AI, governance, and civic engagement? Tagging  Future of Life Institute (FLI) Max Tegmark Civic AI Regina Gensinger Metamodernism Tomas Björkman Swedish eco municipalities Kenneth Gyllensting Doors of perception John Thackara Fact based world view Gapminder Foundation Anna Rosling Rönnlund EU Commission Circular Economy (DG Environment) William Neale and the new European AI Office (A4&A5) Sabrina Küspert Climateview Einar 🌎 Bodström Let's put our heads together and transform this discussion into a real policy recommendation! Share your thoughts and tag others working in this space. #AIforGood AI for Good #FutureofDemocracy #CivicAI https://lnkd.in/gcyhiyMy

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The competition to become your go-to AI platform is heating up! Meta/Facebook just launched their new AI platform which competes with ChatGPT, Perplexity, Gemini etc. It has some interesting features. LOVE when big companies compete! Competition expedites innovation and drives costs down--both are wins for the consumer. #Meta #facebook #LLama3

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In this episode, my colleague Vasudev Lal discusses the benefits of multimodal #AI ...and points out that #AI should be in service of extending and augmenting human capabilities, rather than replacing them! #IamIntel #AIEverywhere

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