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AI kinda excels at pattern recognition but it still lacks true understanding. To achieve AGI, AI needs to move beyond patterns to logic-based reasoning, update its knowledge without retraining models,and apply information efficiently, while aligning with ethical safeguards. The next big breakthrough could be neurosymbolic AI, combining deep learning with reasoning.

Neurosymbolic AI could indeed be the bridge to true AGI, merging deep learning with logic-based reasoning. Aligning this with ethical frameworks is key to ensuring beneficial outcomes. Exciting times ahead as we inch closer to AI that understands context and nuance! 🌟

Self-improving AI models are indeed the horizon of autonomy. When AI refines its own algorithms, we edge closer to machines that not only learn but also evolve. The journey toward this milestone will redefine our interaction with technology. 🚀

exactly, the big leap will likely come from self-improving AI models—where AI starts optimizing its own algorithms. That’s when autonomy becomes real.