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Right now, we’re in the era of narrow AI—, or even more specialized models that excel at specific tasks (think language generation, image recognition, or playing Go). AGI requires a leap: an AI that can reason across domains, learn from minimal data, and adapt to entirely new challenges without being spoon-fed instructions. Experts are split. Optimists like those at DeepMind or OpenAI hint at breakthroughs within a decade—say, by 2035—driven by exponential compute power and algorithmic tweaks. Pessimists, or maybe realists, argue it’s still 50+ years off, pointing to how little we understand about human cognition itself.
The next big breakthrough? It’s likely a cocktail of three things:
1. Better reasoning model
2. Embodied AI
3. Energy-efficient compute 1 reply
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