小孩学语言只需少量样本，大模型却要吞下整座城市几代人的语料，这个谜题正动摇AI的底层逻辑。
People have been talking to each other for at least 100,000 years, as best we can tell. And in all that time, there has been only one thing in the wor…
一篇颠覆认知的AI研究报告，用因果证据揭示AI使用对认知的即时影响，AI从业者必读
The room is unremarkable. A clean desk, a laptop, a printed sheet of arithmetic and short reading passages, and a pair of EEG electrodes resting again…
揭秘查询时序让大模型与人类产生相反位置偏好的新发现，获奖论文值得一读。
arXiv:2608.12387v1 Announce Type: cross Abstract: Positional biases such as recency and primacy effects have been documented in large language models …
从大脑记忆机制看大模型如何从被动观察走向主动干预，交叉视角带来全新启发。
arXiv:2608.12377v1 Announce Type: cross Abstract: Brains and large language models (LLMs) are fundamentally different memory systems, but they can be …
专注AI研究解读的资讯站，用前沿论文帮你理解AI如何影响认知与信念。
Article URL: https://aiunderstanding.org/news/ai-chats-emerging-conspiracy-beliefs-study Comments URL: https://news.ycombinator.com/item?id=49241569 P…
探究大模型能否跳出单一推理路径，自主发现多元异构推断，视角新颖。
arXiv:2608.02867v1 Announce Type: new Abstract: Although reinforcement learning with verifiable rewards (RLVR) has improved the performance of large l…
将大脑与LLM类比为渲染引擎，揭示认知与机器推理的底层相似性，颠覆AI认知框架。
Part 1 of 3. The rest of the series: Part 2: More Compute Won't Wake It Up . Part 3: Two Render Layers Deep Before You've Even Formed an Opinion . Las…
最新研究揭示：部分大语言模型在风险决策中展现出与人类一致且稳定的风险态度，这对AI安全与行为对齐很有启发。
arXiv:2607.16197v1 Announce Type: new Abstract: As artificial intelligence systems are deployed in open-ended, high-stakes settings, a critical dimens…
打破传统能力评估，从人类感知维度重新定义AGI的可信度标准
arXiv:2607.15883v1 Announce Type: cross Abstract: Large language models are broadly capable, yet in sustained one-to-one conversation they still read …
从哲学与认知科学角度探讨大语言模型是否可能真正具备思维，融合AI前沿与心灵哲学。
arXiv:2604.09674v2 Announce Type: replace Abstract: Do large language models (LLMs) think? Daniel Stoljar and Zhihe Vincent Zhang have recently develo…
用NLP对比人类与LLM的语义导航能力，揭秘AI认知机制的新视角。
arXiv:2607.12195v1 Announce Type: new Abstract: Semantic memory retrieval can be conceptualized as navigation through conceptual space. We compared se…
从技术底层拆解大模型为何无法真正思考，AI意识迷思的清醒之作。
Article URL: https://roburie.substack.com/p/why-ai-doesnt-think-cannot-reason Comments URL: https://news.ycombinator.com/item?id=48784753 Points: 2 # …
AI智能体常忘事？这套离线可用的三重记忆机制，让它在无网环境也能精准调用关键信息，直击向量搜索盲区。
Six months ago you recommended switching your client's invoicing tool. Last week they asked why. You have no idea - the conversation happened in three…
大语言模型看似自信输出时，内部却在处理认知失调，这篇论文揭示了这种矛盾心理机制。
arXiv:2606.22633v1 Announce Type: new Abstract: Large language models (LLMs) frequently encounter inputs that disagree with their prior outputs, throu…
揭秘LLM事实检索机制：冗余、分布式、非连续的计算过程，挑战传统认知。
arXiv:2606.21345v1 Announce Type: new Abstract: Large language models (LLMs) store and recall factual knowledge, yet the precise mechanism of how enti…
用LLM对话策略激发好奇心，CURIOBOT框架探索学习行为干预新路径
arXiv:2606.22349v1 Announce Type: new Abstract: Large Language Models (LLMs) provide a new opportunity to study how language shapes exploratory cognit…
用大模型元学习生态先验，揭示人类学习与决策的内在规律，为AI与认知科学架起新桥梁。
arXiv:2509.00116v3 Announce Type: replace-cross Abstract: Human cognition is profoundly shaped by the environments in which it unfolds. Yet, it remain…
探讨大语言模型与人类表征模式的差异，从认知科学视角剖析AI理解能力
arXiv:2606.21616v1 Announce Type: new Abstract: Much work on the cognitive foundations of AI has focussed on comparisons between the ways in which Lar…
无需预设数据、LLM自主生成内容的结构智能评测新方法——类比测试进入可证伪时代
arXiv:2606.21008v1 Announce Type: cross Abstract: The metanym game is a competitive word game for LLMs that measures structural intelligence against e…