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The AI boom continues, but the hype surrounding imminent breakthroughs is fading as experts reassess the path forward. Acronyms like LLM, AGI, and ASI dominate discussions, fueled by the advancements of projects like OpenAI’s GPT, Anthropic’s Claude, Meta AI’s Llama, Google’s Gemini, and Deepseek’s Deepseek. While the prospect of GPT-5 and the emergence of Grok initially stirred excitement, the conversation has shifted to a more pragmatic view of what the next few years realistically hold for AI development. Questions persist about the achievability of ‘true AI’ as traditionally conceived, leading to a deeper exploration of the challenges and opportunities that lie ahead. A recent Reddit discussion highlights this evolving perspective on the current state and future expectations within the AI community: [https://old.reddit.com/r/artificial/comments/1n4ipfl/does-anyone-actually-know-what-is-going-on_with_ai/]