Anmol DhimanСсылка
Really solid analogy with the mug. That “painful feedback loop” is such a clean way to explain how biological learning actually works.You’re right that the current brute-force GPU approach feels increasingly unsustainable. We’re burning insane amounts of energy and capital to approximate something the brain does with roughly 20 watts. The continuous learning problem (catastrophic forgetting) is still the quiet killer that most people gloss over.That said, I do think the “AI as co-pilot” framing is the healthiest one right now. The models are already extremely useful when you treat them as high-context assistants rather than autonomous agents. The gap between “impressive demo” and “reliable continuous learner” is still massive though.Curious where you think the next real leap comes from better architectures, or just accepting that pure scale has diminishing returns?