# Column: Google’s Generative AI Reasoning Patent — Teaching the Process of Thinking

AI Times, a Korean AI publication, has published Managing Partner Yongduck Kim's column on generative AI patents.

Source: https://www.iplexlaw.co.kr/en/blog/1530376

HOME / NEWS & INSIGHTS NEWS & INSIGHTS Column: Google’s Generative AI Reasoning Patent — Teaching the Process of Thinking AI Times, a Korean AI publication, has published Managing Partner Yongduck Kim's column on generative AI patents. AI & Software 2026.09.01 published IPLEX 2 min read AI Times, a Korean AI publication, has published Managing Partner Yongduck Kim's column on generative AI patents. In this column, focusing on Google's U.S. Patent No. 12,711,312, we introduce a technology where generative AI goes beyond simply generating the correct answer and learns the intermediate reasoning process to reach the correct answer. The patent is about ‘generative model tuning using latent variable inference’ and proposes a structure that uses not only the final output during the training process but also the text tokens generated in the middle as important learning targets. The column draws attention to the fact that there may be multiple paths of reasoning for a single problem. Google's patent treats intermediate inferences as a kind of latent variable rather than limiting them to a single fixed correct answer, and proposes a method of adjusting the model parameters by evaluating the relationship between several possible inference processes and the final result. Through this, we look at the learning method of an AI model that goes beyond simply ‘AI that guesses the right answer’ and can solve complex problems step by step. In addition, we analyze the possibility that this inference learning technology can be expanded to various generative AI fields such as code generation, document summarization, translation, and AI agents, as well as math problems and question and answering. In particular, as AI develops into an agent that continuously performs various tasks such as search, data analysis, and coding, the ability to make correct decisions at each stage becomes more important, and technology that effectively learns the intermediate reasoning process can become an important factor in the next-generation AI competition. This column introduces patent cases that show that the competition in generative AI is expanding beyond simple model size or amount of knowledge to learning ‘how to think and reason.’ If you are interested in changes in AI technology and patent strategy, please check the specific details and patent implications of the generative AI inference learning technology proposed by Google's latest patent. The full article can be found at the link below. Read the column Read the Korean source This article reflects the information available when it was published. Contact us to discuss your circumstances. Discuss this topic ↗ All articles TALK TO IPLEX Discuss your IP questions We consider your technology and business needs together. ↗ Contact us Newer Why Do LLMs Lose Track as Conversations Get Longer? ↗ Older AgentGym-RL Paper Analysis: Training Long-Horizon AI Agents with Multi-Turn Reinforcement Learning ↗ Related insights AI & Software 2026.10.01 FiX: fine-grained forgetting in softmax attention Yongduck Kim examines FiX’s feature-wise gates, numerical implementation and paged cache, distinguishing reported gains from unresolved limitations. ↗ Read article AI & Software 2026.09.30 MHAR: Reading earlier layers through different feature subspaces Yongduck Kim examines Multi-Head Attention Residuals: depth routing, reported training results, implementation costs and the relationship between technical features and effects. ↗ Read article AI & Software 2026.09.28 Column: Claude Computer Use and the Data That Trains AI Agents Writing for AI Times, IPLEX Managing Partner Yongduck Kim examines the training data behind computer-operating AI agents through U.S. Patent No. 12,585,862. ↗ Read article

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