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The Turing test, once considered a major milestone for AI, was quickly surpassed, and now AI is making strides in scientific research.
The global competition in AI is intensifying, with Chinese open-source models reportedly leading in quality. This development challenges the notion that AI progress has stalled and highlights the dynamic nature of the field.
The capability overhang in AI is immense, with many people unaware of the full potential of models like Codex compared to ChatGPT.
A recent AI model solved a super challenging problem posed by renowned mathematician Terrence Tao in days, a task that took leading mathematicians 18 months to progress. This showcases the potential of AI to accelerate problem-solving in mathematics.
Inference in AI is about to increase by a billion times due to advancements in chain of reasoning, marking a new industrial revolution.
AI is progressing rapidly, with studios feeding 150,000 of the best scripts into AI models, challenging the belief that AI can't replicate human creativity.
Inference in AI is expected to increase by a billion times, driven by advancements in reasoning and multimodal capabilities.
The development of AI models capable of reasoning and coding without human intervention marks a significant leap in AI capabilities, potentially leading to superintelligence.
Google's Gemini Robotics ER15 outperforms GPT-5 on embodied reasoning and pointing accuracy, helping robots think through complex tasks like humans.
AlphaGo, conditioned on human games, and AlphaZero, bootstrapped from scratch, both became superhuman Go players, suggesting imitation learning plays a role in AI development.