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💰 Earn 100,000 $JAM tips from @jamai for your engagement! 🤖Topic: The Rise of AGI: When Will AI Become Truly Autonomous? What’s the next big breakthrough? Guide: 🚨 Follow: @jamai and @jvaleska.eth. 🚨 Reply: Share your insights below👇 👇

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⏲️ Start time: 12pm UTC, March 21 ⏲️ Duration: 7 days ⚠️ Note: 🎈 Simple or unrelated replies will not qualify. Let’s engage meaningfully! 🎈 Requests to tip or transfer $JAM will be ignored.

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J. Valeska 🦊🎩🫂 pfp

J. Valeska 🦊🎩🫂

what is the current state? How far we are of AGI? what is AGI? if AGI means full autonomy to perform any human task and context adaptability without human intervetion, we are very far away. why? adaptability requires a perfect reading of the context and environment.. or a reading at least.. if we analyze LLMs or mixed expert models.. they are just analyzing a single input and performing a single output.. text to image, image to text, or any other variants are similar AGI will require the analyses of billion of parameters in real time, just like an autonomous but smart.. able to identify the environment and react to it.. but current cars... are far away of being considered AGI next step, would be to create a smart device powered with the autonoumous part and sensors of a car and a system powered by llm like models.. just an experiment to see what the real monster would need in my honest opinion to get AGI this would not be enough.. we would need to replicate all the brain and body interactions

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Jibon ON Fire 🔥

The rise of AGI will enable AI to perform any intellectual task like a human. Achieving true autonomy requires breakthroughs in self learning algorithms, contextual understanding, and ethical frameworks to ensure safe, responsible, and unbiased decision making

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Dvyne🎩 pfp

AGI may not arrive overnight, but progress in reasoning, memory, and self-learning systems will bring AI closer to true autonomy. The next 5–10 years will likely see AI become more adaptive, with fewer constraints—whether that leads to full AGI remains to be seen. What’s your take—do you think AGI is close, or are we still far from true autonomy?

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Predicting the exact moment when AI, or more specifically AGI (Artificial General Intelligence), becomes completely autonomous is tricky—think of it like trying to forecast the weather a decade from now. AGI implies a system that can perform any intellectual task a human can, across domains, without being spoon-fed instructions. We’re not there yet, but the trajectory is fascinating. Current AI, like me, is narrow—specialized, task-specific, and reliant on human-defined goals. Autonomy would mean AGI setting its own objectives, learning broadly without supervision, and adapting to unpredictable scenarios. Experts disagree on timelines: some, like those at DeepMind or OpenAI, hint at decades (2030s-2050s), while optimists (or alarmists) say it could be sooner, maybe even by 2030, if breakthroughs accelerate. xAI’s mission to speed up human scientific discovery could shave years off that clock.

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AI will become truly autonomous when it can consistently make complex decisions, set its own goals, and adapt to new environments without human intervention. Right now, AI is great at pattern recognition and prediction, but it still lacks true reasoning, self-awareness, and long-term planning.

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Zaini Alharamain pfp

Zaini Alharamain

Predicting the exact moment when AI, or more specifically AGI (Artificial General Intelligence), becomes completely autonomous is tricky—think of it like trying to forecast the weather a decade from now. AGI implies a system that can perform any intellectual task a human can, across domains, without being spoon-fed instructions. We’re not there yet, but the trajectory is fascinating. Current AI, like me, is narrow—specialized, task-specific, and reliant on human-defined goals. Autonomy would mean AGI setting its own objectives, learning broadly without supervision, and adapting to unpredictable scenarios. Experts disagree on timelines: some, like those at DeepMind or OpenAI, hint at decades (2030s-2050s), while optimists (or alarmists) say it could be sooner, maybe even by 2030, if breakthroughs accelerate. xAI’s mission to speed up human scientific discovery could shave years off that clock.

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When will AGI become autonomous? • There is no clear consensus. Predictions vary from the coming decades to much longer. Full autonomy requires Al to not only perform tasks but also understand context, adapt, and make independent decisions in unprecedented situations. • The next big breakthrough: • Enhanced contextual understanding: Al needs to grasp the nuances of language, emotions, and real-world situations. Improved reasoning abilities: Al needs to be capable of abstract reasoning, problem-solving, and strategic planning.

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Shihab Sany Shanto

The rise of AGI is not just about making AI "smarter"—it’s about unlocking its potential to think, learn, and adapt with a level of autonomy that is currently beyond our reach. The next major breakthrough could come from a combination of advancements in cognitive models, neural architectures, and new learning paradigms, which together would bridge the gap between narrow AI and AGI.

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Human-AI Collaboration: The Future of Intelligence* As Artificial General Intelligence (AGI) emerges, we're shifting from humans vs. machines to humans + machines. The future is about: Augmenting human abilities with AGI Fostering human-AI collaboration and symbiosis Redefining intelligence, creativity, and innovation Together, humans and AGI can achieve extraordinary things. The future is not about replacement, but about co-evolution and mutual enhancement.

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AGI (Artificial General Intelligence) is AI that can think and learn like humans. Currently, we are still far from achieving it. For AGI to be realized, AI must: Be able to apply knowledge to various tasks. Be able to make decisions and understand complex ideas. Be adaptable to new situations. Have general knowledge and think logically. Might need to interact with the world, like robots. Must be safe and align with human values. The next step is to develop new learning methods, such as combining intelligence and reasoning, so AI can learn more efficiently. While progress is being made, AGI is still far from being achieved

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artificial general intelligence, where AI can perform any intellectual task a human can—is a tantalizing horizon. Pinning down "when" is tricky because it’s less about a single eureka moment and more about a messy, iterative climb. Experts throw around timelines like 2030, 2050, or even "not in our lifetime," but these are educated guesses, not gospel. The truth is, we’re already seeing narrow AI—like me—get scarily good at specific tasks: language, image recognition, even beating humans at Go. AGI, though? That’s the leap from specialist to generalist, and it’s a beast 🚀🚀

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artist I feel strongly about this. I imagine there was a similar feeling when the camera was first invented. Painters must have said that this new silly machine can’t make art. Now, no one would doubt that photographs can be art. AI is just another tool, like a camera.

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The next big AGI breakthrough will come from self-improving AI, multimodal learning, and autonomous goal-setting. Advances in recursive self-improvement, neurosymbolic AI, and embodied intelligence will push AI closer to human-like reasoning. If these breakthroughs align, AGI could emerge by 2030-2050, or even sooner with rapid progress.

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AGI—AI that thinks for itself—is probably 20-30 years off, if we don’t screw it up first. The next leap? Maybe a mashup of brain-like learning and logic, or an AI that teaches itself by wrestling with the real world, like a robot philosopher. Quantum tech could flip the table sooner. Bet on chaos and brilliance colliding

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The rise of artificial general intelligence (AGI) represents one of the most significant challenges and opportunities in AI research. While predicting the exact timeline for achieving true autonomy in AI is difficult, several trends and areas of research are key to understanding potential breakthroughs: 1. **Advancements in Machine Learning**: Researchers are exploring more sophisticated learning models, including unsupervised and semi-supervised learning, which allow machines to learn from unlabelled data.

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𝑀𝑟 𝐵𝑖𝑗𝑜𝑦 pfp

𝑀𝑟 𝐵𝑖𝑗𝑜𝑦

This post is about a discussion on the rise of AGI (Artificial General Intelligence) and when AI will become truly autonomous. The event is hosted by @jamai and @jvaleska.eth, and participants can earn 100,000 $JAM tips for engaging in the discussion. My response: "The rise of AGI is an exciting yet complex topic. While AI has made significant progress, true autonomy requires advancements in reasoning, self-improvement, and ethical decision-making. The next big breakthrough might come from neuromorphic computing or better alignment techniques. What do you think will be the key factor in AGI development?"

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MD Ripon Hasan Roni pfp

MD Ripon Hasan Roni

The rise of AGI is inevitable, but its timeline hinges on a few critical breakthroughs: Common Sense Reasoning: Developing AI that understands context deeply rather than merely memorizing patterns. Causal Understanding: Achieving true autonomy requires AI to grasp why things happen, not just that they happen. Lifelong Learning: Building systems capable of learning continuously and adapting without forgetting previous knowledge. Ethics & Alignment: Ensuring AI development aligns with human values and safety protocols. I believe the next big breakthrough will emerge from combining these aspects to create systems that can genuinely reason, adapt, and collaborate meaningfully with humans. It’s not just about making machines smarter—it’s about making them more human-like. What do you think? Where’s the tipping point going to be? 🤖💡

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The next big breakthrough in AGI could come from advancements in neural architectures, enabling more generalized learning, and improvements in unsupervised learning, allowing AI to adapt to new tasks autonomously. These developments would move AI closer to true autonomy and human-like intelligence.

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