<ul><li>'How many R’s does the word Strawberry have?' is a common question, that can now be answered with PhD-level intelligence thanks to reasoning models.</li><li>Reinforcement learning techniques inspired by AlphaGo and AlphaZero led to the rise of reasoning models.</li><li>Reflection is one of the most significant technical breakthroughs for reasoning models.</li><li>China is ahead of the USA in open-source models that can reason and do math well.</li><li>Traditional “scaling laws” theory is being questioned as researchers explore new approaches, including reasoning models.</li><li>Integration of neuro-symbolic and traditional deep learning has emerged as a promising direction.</li><li>Testing new models requires high-quality reasoning datasets such as MetaMathQA and ReMI.</li><li>Benchmark collections such as the Rainbow framework test reasoning capabilities.</li><li>Apple’s researchers note that true AI reasoning remains an elusive goal even with pattern recognition advancements.</li><li>Breakthrough moments accompanied by sobering reality checks mark the journey towards genuine AI reasoning.</li></ul>

The Rise of Reasoning Models

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