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2026

Roleplay AI 观察：从 C.AI 到 Talkie，产品、数据、模型与情感需求

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LLM 的下一步：从“会答”到“会想”——Planning as Data 与思考范式重构
探寻实时学习新路径：挖掘极致高效的“子空间微调”
RL新范式：从经验到更高质量数据——我们不再训练模型，而是在制造数据
Training-Free RL：当“训练”不再更新参数，而是更新上下文
从 OpenClaw 再谈 AI Coding：我们还剩下什么

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ACT AE AGAPO AGI AI AI-Coding AIGC ALBERT AR AUC Accuracy Activation Activation Steering Adam Age Agent Aha Algorithm Array Arrow Attention Automatic Speech Processing Automation BERT BIO BIOHD BM25 BPE BabyGrow Backtracking Backward Bahdanau Attention Bart Bayes Beam Search Bert-Flow Bi-LSTM Biasing BigCodec Binary Search Blending Brain Brain Decoding Bridge Business C C.AI C4 CARD CCG CE BERT CFG CISPO CKY CNN CRF CRL CS CYK Calculus Camera Cascades Catalan ChatBot ChatGPT Chi2 Chunking Class Imbalance Loss Classification Clip CoT Codec Cognition Collaborative Filtering Collins Parser CompoundEngineering Computational Linguistics Computer Computer Science Confusing Labels Context Engineering Context Learning Context-Free Grammars Continual Pre-training Continual Pretraining Contrastive-Learning Coordinate Ascent Cosine Cosine Similarity Cross Entropy Cross-brackets Cross-view Ctrl Culture DA DAC DAPO DB DCPO DELTA DLM DNN DP DPO Darling Data Augmentation Data Clearing Data 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