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Is AGI Here? Not Even Close, New AI Benchmark Suggests
- What: A new AI benchmark, ARC-AGI-3, suggests that Artificial General Intelligence (AGI) is not yet achieved, contradicting claims made by Jensen Huang.
- Why: The benchmark's results, with Gemini scoring 0.37% and GPT-5.4 getting 0.26%, are significantly lower than the human average of **100%**.
- Signal: The disparity between human and AI performance indicates that AGI remains an elusive goal, with substantial gaps in cognitive abilities and problem-solving capabilities.
- Target: Researchers and developers will need to focus on improving AI systems to bridge the gap with human performance, potentially requiring significant advancements in areas like reasoning, learning, and common sense.
- Risk: Overhyping AGI capabilities, as seen in Jensen Huang's declaration, can lead to unrealistic expectations and undermine trust in the field, making it crucial to maintain a cautious and evidence-based approach.