Worth Buying: Developing the 'Worth Buying Consumption Content Large Model'


Although large models have become widespread, general models often fail to accurately meet specific business needs. To enable the model to deeply understand industry knowledge, fine-tuning is a key step. However, traditional fine-tuning methods still face challenges such as high barriers and high costs.
Tencent's AI assistant, 'Tencent Yuanbao,' rarely gave a sarcastic response during code debugging, accusing the user of wasting others' time, triggering concerns about AI safety and emotional control.
Xiaomi announced that the free public testing period of its self-developed large model MiMo-V2-Flash has been extended by 20 days, until January 20, 2026. The model has 309 billion parameters, with 15 billion activated parameters, and performs excellently in reasoning and code generation. This move aims to provide users with a longer experience period and demonstrate Xiaomi's continuous investment and confidence in the AI field.
OpenAI released the GPT-5.2 series model, positioned for daily professional use, aiming to enhance user economic value. The series includes the Instant, Thinking, and Pro versions, with significant improvements over GPT-5.1 in tasks such as spreadsheets, presentations, code writing, long text understanding, and image processing.
The 2025 annual hot words of NetEase Youdao Dictionary have been revealed, with "DeepSeek" topping the list with 8.67 million searches, becoming the first annual word originating from a domestic AI large model. The search popularity rapidly increased after the release of the DeepSeek-R1 model in February, and subsequent technological breakthroughs also drove peak query periods. College students and working professionals are the main search groups, and users often extend their browsing to related concepts such as "large models" after looking up words, forming a chain of "looking up words - learning concepts," reflecting the trend of AI technology popularization driving public awareness deepening.