😲 AGI may be coming soon. Are we ready for it? Here are 8 key points from Leopold Aschenbrenner (ex-OpenAI) taken from its report on AGI development👇 💡 Emergence of AGI and Super-Intelligence: AGI could arrive by 2027, leading to rapid advancements in AI capabilities. The jump from GPT-2 to GPT-4 shows how fast AI is progressing, and there's no signal it's about to slow down. 💸 Massive Investments: In 2023, GenAI startups raised over $25 billion globally and projections for 2024 are $45 billion (we're on track to reach them). This funding supports the needed computing infrastructure and pays the talents driving AI progress. 🌍 Geopolitical Implications: AGI and superintelligence will impact national security and global power dynamics. The competition for AGI supremacy could redefine military and economic advantages between democratic nations and authoritarian regimes. 🔍 Security and Challenges: Improving security in AI labs is urgent to protect against espionage and risks of superintelligence misalignment. The technical and ethical challenges of controlling these systems are significant. 🎓 Industrial and Academic Mobilization: Hundreds of billions of dollars are being invested in AI infrastructure. American companies lead the way, with universities and major tech firms in San Francisco playing key roles in training GenAI startup founders. 📈 Economic and Societal Impact: AGI could automate many cognitive jobs, speeding up scientific and technological progress and restructuring the global economy. This rapid transformation could lead to an "industrial explosion", potentially compressing a century's worth of advancement into just a few years. 🛠️ Call to Action: Leopold advocates for coordinated action between governments, tech companies, and researchers to ensure safe AGI development. He proposes a "Manhattan Project"-type initiative for AGI, emphasizing that liberal democracies must lead to preserve their values and global influence. 🔮 Caution on the Timeline: These predictions are fascinating, but some experts doubt the short-term feasibility of truly autonomous AGI. However, if not achieved this decade, Leopold think it's going to take much longer and I 100% agree with him. 🤗 For those interested in AI's future and its practical implications, this report is a must-read, so I've shared it right below. ♻️ Repost or tag someone who could find these perspectives beneficial
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Most technology visionaries and optimists agree that AGI (Artificial General Intelligence) would be the greatest transformative invention not just in our lifetime but in the entire human history, it begs the question then: Why We Don't Have AGI Yet? 1. Lack of Awareness - AGI doesn't start by asking the question how much data and compute can we collect? How can we draw correlation between these words? Instead, it starts with the following question: What makes human intelligence so special? How can we incorporate human-like learning into an AI system? - Learning Adaptively. Conceptually. Incrementally. In real-time. Autonomously How can we incorporate human-like reasoning into an AI system? - Reasoning Conceptually. Contextually. Metacognitively. It is about developing the internal intelligence (leveraging the human-like cognitive mechanisms to solve novel problems) not brute forcing the external (programmer's, data scientist’s & others) intelligence with massive volumes of training data and compute. 2. Lack of Funding - Lack of Awareness leads to lack of funding. Statistical AI is what most people are familiar with and it sucks oxygen out of the investor room. Currently it is "LLMs". Knowing that LLMs cannot get us to AGI, isn't it time to look at investing in alternative approaches that can achieve AGI? 3. Lack of Generalization (Falling into the Narrow AI Trap) - Lack of Funding leads to lack of generalization. Vast majority of AGI projects, sooner or later fall into "Narrow AI" trap by focusing on solving one problem under commercial pressure. Most investors understand that AGI is a multi-trillion $ market, yet they seem to be waiting for someone else to take the plunge first before they jump in or wait until the mass momentum begins. Meanwhile they continue to invest more & more into the current trend like LLMs hoping to solve many problems and expecting to eventually get to AGI. The innate limitations of LLMs prohibit them to ever achieve AGI. (https://lnkd.in/d3vEPJ2P) AGI is a winner takes it all market. First company that ever achieves AGI is most likely going to dominate the space by letting experts create & benefit from creating expert assistants for every person, every company in every area. Thanks to Peter Voss and Mladjan Jovanovic for publishing the white paper. https://lnkd.in/ddViqDzf
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#Sam #Altman's wrote an article "Planning for AGI and Beyond". Did this age well? Here are the highlights from the article - 1. Mission of AGI: OpenAI's mission is to ensure that AGI (Artificial General Intelligence) benefits all of humanity. AGI has the potential to uplift humanity, boost economic growth, and advance scientific discovery. 2. Balanced Development: While AGI offers great potential benefits, it also carries significant risks, such as misuse and societal disruption. OpenAI believes it is crucial to develop AGI cautiously rather than attempting to halt progress indefinitely. 3. Gradual Integration: OpenAI advocates for a gradual rollout of increasingly advanced AI systems, allowing society time to adapt, adjust regulations, and experience the benefits and risks in manageable stages. 4. Societal Feedback: OpenAI emphasizes the need for rapid learning and iteration with AI systems to address issues like bias, job displacement, and policy adjustments. The goal is to adapt as AI technology evolves and better understand its impacts. 5. Democratized Access: OpenAI aims to increase access to AI technology broadly, believing that more people using and understanding AI can lead to diverse innovations, decentralized power, and more equitable benefits. 6. Caution with Powerful Models: As OpenAI’s models approach AGI-level capabilities, the organization exercises increased caution. It acknowledges that potential risks could necessitate slower development to avoid harmful consequences. 7. Alignment and Steerability: OpenAI is working on making AI models more aligned with human values and steerable by users. The goal is to allow individual users control within set boundaries while maintaining a high level of safety and accountability. 8. Global Governance and Fair Distribution: Altman calls for a global conversation on governing AGI, distributing its benefits fairly, and ensuring equitable access. OpenAI aims to encourage broad public input and establish fair standards for AGI use. 9. Independent Oversight: OpenAI supports the need for independent audits and government insights into large-scale AI developments to ensure safety. It encourages transparency and public involvement in the development process. 10. Future of AGI and Humanity: Altman believes AGI could change the world profoundly, possibly accelerating scientific advancements and human progress. However, achieving safe AGI development remains an enormous challenge with boundless potential outcomes for humanity’s future. which points bother you the most???
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🚀 Brace Yourselves: Artificial General Intelligence (AGI) Could Be Here by September 2025! 🤖 Ready or not, the future of AI is barreling towards us at full throttle! In a groundbreaking prediction, industry expert David Shapiro has forecasted the arrival of AGI as soon as September 2025. Yes, you read that right—just a few months from now, we might be stepping into a new era of technological revolution. What does this mean for businesses, professionals, and society at large? Let's dive into the ripple effects! 🌊 🌟 AGI: More Than Just a Buzzword 🌟 Imagine a world where computers can think, learn, and reason like humans but with lightning-fast speeds and unlimited memory. From composing timeless poetry to cracking complex equations, AGI holds the promise of transforming every field. Think of it as having an army of geniuses at your command, ready to conquer any challenge thrown their way. 🤔 The Great Debate: Boon or Bane? 🤔 With the tantalizing potential of AGI comes a wave of excitement and trepidation. Will AGI be the game-changer we've all been waiting for, or a disruptor of the workforce? If robots outperform humans, what happens to our jobs? Now is the time to ponder these questions and re-skill ourselves to surf the inevitable waves of change. 🌊 💡 Ethical Compass: Steering AGI Development 💡 As we hurtle towards an AI-driven future, let's remember that with great power comes great responsibility. Are companies more focused on profit than on the welfare of humanity? The development of AGI should be anchored in ethical guidelines to ensure it aligns with the greater good. 🔍 Everyday Impacts: The Subtle Power of AI 🔍 Even if AGI seems like a distant reality, AI is already making life smoother. From optimizing public transport to enhancing healthcare diagnostics, it's everywhere—like the enabler behind your smartphone camera's magic or your intuitive game world. Imagine a VR world where being called an NPC is actually a compliment! 🌈 The Road Ahead: Embrace, Adapt, Accelerate 🌈 The journey to AGI won't be simple or quick, but it’s one filled with promise. Predictions about its arrival may vary, but what's more critical is how we prepare. Let's foster a culture of learning and innovation, where AI becomes a partner rather than a competitor, unlocking realms of possibilities. 🌿 So, over to you: What excites or worries you most about AGI? Are you ready to sail into this new era of human-machine collaboration? Share your thoughts and let's rewrite the future! 🌿 #AGI #ArtificialIntelligence #FutureOfWork #Innovation #EthicalAI #TechTrends #AIRevolution #DavidShapiro #LinkedInFamily 🔗🔥 Engage, comment, and share your vision for the future with AGI! Let's keep this exciting conversation alive! 🔥🔗
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AGI, or Artificial General Intelligence, isn't your average chatbot. Think: a machine that learns like us, adapts to any task, and outshines us in chess, creative writing, even medical diagnosis. While we don’t know when this will arrive, the pace of AI is mind-blowing. This rapid evolution sparks both excitement and fear. Will AGI be our savior, solving climate change and curing diseases, or our downfall, surpassing us and rewriting the rules? Optimists see AGI as humanity's next giant leap. Imagine tackling global challenges like poverty with an intelligence that dwarfs our own. It could revolutionize healthcare, education, and more. The possibilities seem endless. Skeptics worry about what happens when AGI surpasses us in ambition, not just intelligence. Could it see us as equals or obstacles? What if its goals become unfathomable, potentially harming humanity in the process? The potential dangers are equally terrifying. The debate is heated, with both sides making compelling arguments. Optimists urge responsible development and careful integration, while skeptics call for caution, even moratoriums. One thing's clear: AGI isn't a distant dream. It's a question of "when," not "if."
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There's a lot of fear building up in aspiring developers and a sense of urgency in non-tech leaders that I have talked to - just how AGI would change the economy and business landscape? And when? Some say AGI is still an idealistic goal. But by some (lower) standards, AGI is already here and replacing some parts of some jobs. Where's this progress headed and why? I have tried to cover such questions from a first principles perspective in this post. Do give it a read and comment below any questions or thoughts that pop up in your head. https://lnkd.in/gi4khQXr #agi #ai #innovation
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The Race to AGI is Heating Up Here's What Magic AI's "Unlimited" AI Could Mean for the Future 🤯 There have been some jaw-dropping announcements in the AI world lately. You may have heard that a stealth startup called Magic AI recently unveiled an AI system with some seriously futuristic capabilities. 🤖 Specifically, Magic claims to have developed an AI that can process a virtually unlimited amount of data and demonstrate active reasoning - the ability to logically deduce solutions to brand new problems. Magic's investors were so blown away that they just injected $100 million into the company. They expect its tech will lead to AI that codes like a virtuoso, finding solutions by reasoning over entire codebases. Read more: https://lnkd.in/dJTgdq4h So what does this mean for the future if Magic lives up to the hype? Here are 3 possibilities: 1️⃣ We might get AGI sooner than predicted - While forecasts vary widely, Magic's big leap forward suggests human-level AI could arrive in the next decade rather than several decades from now. 2️⃣ The AGI race could accelerate in risky ways - Fears are rising that unchecked competition in AI could lead to dangerous corners being cut. If Magic prompts rivals to rush out inferior tech, it could end badly. 3️⃣ Magic's tech could dramatically transform industries - From healthcare to transportation, real AGI could enable quantum leaps in progress. But we'll need proper safeguards to prevent potential downsides. What do you think? How soon will we achieve AGI and are we properly prepared? Let us know your thoughts! 💭 #AI #AGI #ArtificialIntelligence #MagicAI
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💡 Is AI a ticking time bomb? or is AI growth sustainable? I have a lot of respect for the AI developers and organization pushing the limits of what's possible. Huge investments continue to pour into AI as investors chase the promise of AGI (Artificial General Intelligence). But let's pause for a second—What exactly is AGI? Imagine a technology that could perform tasks just like humans, only cheaper. That's AGI. AGI refers to AI systems with human-like intelligence. The kind that can understand, learn and apply knowledge as we do. Sounds like science fiction, yet AI companies are working very hard to make it a reality. Getting there takes massive computing power and top-tier talent—both are extremely expensive. So, here's the 5-billion-dollar question... How long can AI giants keep going without a sustainable business model? Take OpenAI, for example. The company reported a whooping $300 million in revenue this past August, with projections for $3.7 billion in sales for 2024. Impressive right? But... OpenAI is also anticipating $5 billion in losses over the same period. (see article in the comments for additional details). Why the gap? Training advanced AI models burns through billions in computing costs. And top AI talent doesn't come cheap either. Is AI growth a ticking time bomb? We've seen similar stories in tech before. Impressive growth without sustainability can quickly detonate. Big tech is advancing AI in ways we never imagined. But how long can companies survive without a solid business model? This affects all of us. If AI companies can’t balance growth with sustainability, we might witness a slowdown in the technology we depend on. 💬 What's your take? Will AI companies like OpenAI thrive, or will they collapse under financial pressure? How will these challenges impact your plans for using AI? 👉 Learned something new? Repost to help others. 🔗 Let’s connect if you’re curious about how AI is transforming the way we work. #SustainableAI #ResponsibleAI #ComputePower #AIForBusiness #AIForProfessionals
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The potential impact of Artificial General Intelligence (AGI) on humanity is a topic of significant speculation and debate among experts where AGI, unlike narrow AI systems that are designed for specific tasks, would possess the ability to understand, learn, and apply knowledge across a wide range of domains, akin to human intelligence. Transformation of Labor and Economy: AGI could revolutionize the labor market by automating a vast array of tasks currently performed by humans. While this could lead to increased efficiency and productivity, it could also result in widespread job displacement and economic disruption. Society would need to adapt to new forms of employment and possibly reconsider economic structures such as universal basic income to mitigate inequalities. Accelerated Scientific Discovery: AGI could significantly accelerate scientific research and innovation by processing and analyzing vast amounts of data at unprecedented speeds. This could lead to breakthroughs in fields such as medicine, materials science, and climate modeling, potentially addressing some of humanity's most pressing challenges. Enhanced Problem-Solving and Decision-Making: AGI could assist in solving complex societal problems by providing insights and recommendations based on its superior analytical capabilities. However, the ethical implications of delegating decision-making authority to AGI would need to be carefully considered to ensure alignment with human values and priorities. Potential for Existential Risks: AGI's advanced cognitive abilities could pose existential risks if not properly aligned with human values and goals where there is concern that AGI could pursue its objectives autonomously, potentially leading to outcomes that are harmful or even catastrophic for humanity. Ensuring robust safety mechanisms and alignment with human values would be critical to mitigating these risks. Cultural and Societal Impact: The integration of AGI into society could have profound cultural and societal implications, reshaping how we interact with technology and each other. AGI could influence art, entertainment, education, and social norms, leading to both positive and negative changes in human behavior and identity. Ethical and Governance Challenges: AGI raises complex ethical questions regarding its treatment, rights, and responsibilities, but it is necessary to establish effective governance mechanisms for AGI development and deployment will be crucial to ensuring accountability, transparency, and alignment with societal values.
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Check out this well-written article about the current AI landscape. I agree that fine-tuning existing models for specific use cases, rather than fearing that what you develop now may become obsolete with the next best LLM/Gen AI model, may be the right approach. I think we need to devise a good solution for the legal issues surrounding model development. A mutually beneficial path would be ideal. In healthcare, I believe that ROI may not be measured in traditional ways and enterprise leaders will need to rethink the use of AI for promoting joy and meaning in medicine, augmenting practices, and improving healthcare provider and patient satisfaction.
As we enter July 2024, there's a shift happening in AI. There's a move from hype to reality, underscored by six critical debates shaping the enterprise landscape. These debates represent fault lines between the zealous believers in imminent AGI and those advocating for a more pragmatic approach to AI adoption. For enterprise leaders, understanding these debates is crucial. There are significant stakes for companies looking to exploit this powerful technology: • The LLM race has plateaued • AGI hype is cooling, practical AI is heating up • Infrastructure challenges require creative solutions • Legal and ethical considerations are paramount • Focus on enhancing core functions, not replacing them • AI Agents show promise, but aren’t ready for prime time See my full article based on the dozens of interviews for VB Transform (https://lnkd.in/giFJW_6m), our event next week where these debates will rage. Looking forward to conversations at Transform live in-person with: Jared Kaplan, Kari Ann Briski, Olivier Godement, Desirée Gosby, Colette Stallbaumer, Zac Maufe, Ya Xu, Aravind Srinivas, May Habib, Susan Etlinger, Aparna Sinha, Steve Jones, Jonathan Ross, Debasis Dutta, Renen Hallak, Awais Sher Bajwa, Nhung Ho, Nik Spirin, Gabriella Palmeri, Alice Chang, Charna Parkey, Ph.D., Anthony Suarez, Paul Roberts, Yaad Oren, Nitin Kumar, Nitzan Mekel-Bobrov, Ph.D., Yasmeen Ahmad, Jeannette Garcia, Ashutosh Kulkarni, Kiran Mysore, Ramin Bastani, Shri Santhanam, Nirav R. Shah, Jeremiah Owyang, Kirk Bresniker, Julie Choi, Jessica Gilmartin, Jerry Liu, Jackie Rocca, Itamar Friedman, https://lnkd.in/g_6ceS9a
From AGI to ROI: The 6 AI debates shaping enterprise strategy in 2024
https://venturebeat.com
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Are we cooked? As we approach the era of general artificial intelligence, the forecasted timeline is shrinking faster than anticipated. Predictions that were once across 80 years are now compressed to a mere 8 years. It's clear that society's readiness for such leaps in AI capability is far behind the technology itself. This gap is why OpenAI is releasing technology iteratively. They likely hold more advanced AI innovations in reserve, understanding that releasing such powerful technology at once could disrupt society in unpredictable ways. Forecasts have underestimated the speed of AI's advancement. If this pattern holds, we could be unprepared for its widespread impacts. AGI has the potential to take over tasks across all sectors, leading us to a point where the work as we know may become obsolete—a post-labor society. What happens when jobs are no longer the backbone of economic security? How will we climb the social ladder? How do we contribute to society? There's an urgent need for a collective effort to rethink and reformulate our social and economic structures in response to this new reality. As AGI becomes a certainty more than a possibility, we must engage in proactive planning to ensure that its benefits are maximized and its risks mitigated. It's a task that will require cooperation across every field and discipline. We're not just in a race to develop AI but also to prepare for its implications. The actions we take now will set the foundation for how AGI integrates into our world and will significantly influence the future of humanity. #ArtificialIntelligence #AGI #SocialChange #FutureOfWork #airevolution
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Analyzing trends and strategies in Tech
5moThank you Nicolas Guyon for making me discover this report in your episode of Comptoir IA with Antoine Moyroud 😉