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cxylaz.base.eth

@cxylaz

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@cxylaz
💭 Check out these poll results by @0g-labs
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@cxylaz
0gm!
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0G Labs
@0g-labs
0gm!
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@cxylaz
Join Clankermon using my referral link! /clankermon
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@cxylaz
Accessibility : AI-powered tools can help creators with disabilities, such as visual or hearing impairments, to create and distribute content more easily.
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Personalization : AI can help creators personalize their content and marketing efforts to individual audience members, increasing engagement and loyalty.
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@cxylaz
Content Generation : AI-powered tools can help generate high-quality content, such as articles, videos, and social media posts, at a fraction of the time and cost.²
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@cxylaz
AI can be a game-changer for small creators, helping them grow faster and compete with bigger players. Here are some ways AI can level the playing field: - Automating Repetitive Tasks: AI can take care of tasks like content optimization, social media scheduling, and data analysis, freeing up creators to focus on high-level creative decisions.¹
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JamAI
@jamai
Get Involved! 🌟Join the Discussion and earn @jamai tips! 🤖Topic: How AI Can Help Small Creators Grow Faster – Can AI level the playing field? How to Participate: 🎈 Follow: @jamai and @ethan666 🎈 Reply: Share your thoughts on the topic below.
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@cxylaz
gm
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@cxylaz
🦁 Join me in playing Lion Game @kinglion! Collect points and earn tokens! My total points: 47 points 🎯
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@bracky I want in on the Madness! 🏀
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@cxylaz
I just joined the waitlist for Arrows! A fun new game coming soon ↑
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tip me plz
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@cxylaz
tip me sir..
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@cxylaz
What role should global governance play in regulating AGI development, and how can we ensure that international collaboration balances innovation with safety and fairness?
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@cxylaz
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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@cxylaz
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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@cxylaz
Predicting exactly when AI will become truly autonomous is challenging. However, many experts believe that: 1. Narrow AI: Will continue to advance and become increasingly pervasive in the next 5-10 years. 2. AGI: May emerge in the next 20-50 years, with some predictions ranging from 2030 to 2100.
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