![\"\"](\"https:\/\/i0.wp.com\/geoffreychen.com\/wp-content\/uploads\/2025\/10\/img_9315.jpeg?resize=161%2C162&ssl=1\")
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\u4e3a\u4ec0\u4e48AI\u80fd\u7406\u89e3\u6211\uff0c\u5374\u4e0d\u8bb0\u5f97\u6bcf\u4e00\u4e2a\u5b57<\/p>\n\n\n\n
\u8bb0\u5fc6\uff0c\u5176\u5b9e\u662f\u7406\u89e3\u7684\u5ef6\u7eed<\/strong><\/p>\n\n\n\n \u8bb8\u591a\u4eba\u5728\u4f7f\u7528 ChatGPT \u65f6\u90fd\u4f1a\u601d\u8003\uff1a\u5b83\u7a76\u7adf\u4f1a\u4e0d\u4f1a\u201c\u8bb0\u5f97\u201d\u6211\u4eec\u8bf4\u8fc7\u7684\u8bdd\uff1f\u6211\u7684\u89c2\u5bdf\u662f\uff0c\u5b83\u786e\u5b9e\u80fd\u8bb0\u4f4f\uff0c\u4f46\u90a3\u79cd\u8bb0\u5fc6\u5e76\u4e0d\u662f\u9010\u5b57\u9010\u53e5\u7684\u4fdd\u5b58\uff0c\u800c\u662f\u4e00\u79cd\u66f4\u62bd\u8c61\u3001\u66f4\u8bed\u4e49\u5316\u7684\u7406\u89e3\u3002\u5f53\u4e00\u6b21\u5bf9\u8bdd\u7ed3\u675f\u540e\uff0c\u7cfb\u7edf\u4e0d\u4f1a\u6c38\u4e45\u4fdd\u7559\u5168\u90e8\u6587\u5b57\uff0c\u800c\u662f\u6e05\u9664\u5177\u4f53\u5185\u5bb9\uff0c\u53ea\u7559\u4e0b\u5173\u4e8e\u6211\u8fd9\u4e2a\u4f7f\u7528\u8005\u7684\u5370\u8c61\u2014\u2014\u6211\u7684\u8bed\u6c14\u3001\u98ce\u683c\u3001\u5174\u8da3\u3001\u601d\u7ef4\u65b9\u5411\u3002\u5c31\u50cf\u4eba\u7c7b\u4e0d\u4f1a\u8bb0\u5f97\u6bcf\u573a\u8c08\u8bdd\u7684\u6bcf\u4e2a\u7ec6\u8282\uff0c\u5374\u80fd\u8bb0\u5f97\u201c\u6211\u4eec\u804a\u8fc7\u90a3\u4ef6\u4e8b\u201d\uff0cChatGPT \u7684\u8bb0\u5fc6\u672c\u8d28\u4e0a\u4e5f\u662f\u5bf9\u7406\u89e3\u7684\u5ef6\u7eed\u3002<\/p>\n\n\n\n \u77ed\u671f\u4e0e\u957f\u671f\uff1a\u4e24\u5c42\u8bb0\u5fc6\u7ed3\u6784<\/strong><\/p>\n\n\n\n ChatGPT 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\u9879\u76ee\u7ba1\u7406\u5e76\u4e0d\u662f\u8fb9\u754c<\/strong><\/p>\n\n\n\n ChatGPT \u63d0\u4f9b\u4e86\u201c\u9879\u76ee\u201d\u8fd9\u4e00\u529f\u80fd\uff0c\u770b\u4f3c\u628a\u4e0d\u540c\u4e3b\u9898\u5206\u9694\u5f00\u6765\u3002\u4f46\u5728\u6211\u770b\u6765\uff0c\u8fd9\u53ea\u662f\u7ec4\u7ec7\u65b9\u5f0f\u7684\u4e0d\u540c\uff0c\u800c\u4e0d\u662f\u601d\u7ef4\u7684\u5206\u754c\u3002\u6211\u53ef\u4ee5\u5728\u4e00\u4e2a\u9879\u76ee\u91cc\u8ba8\u8bba\u54f2\u5b66\uff0c\u5728\u53e6\u4e00\u4e2a\u9879\u76ee\u91cc\u5199\u7a0b\u5e8f\uff0c\u5b83\u4ecd\u7136\u80fd\u5728\u8bed\u4e49\u5c42\u9762\u627e\u5230\u4e24\u8005\u7684\u8054\u7cfb\u3002\u4e5f\u5c31\u662f\u8bf4\uff0c\u9879\u76ee\u4e4b\u95f4\u5e76\u975e\u76f8\u4e92\u9694\u79bb\u7684\u6c99\u76d2\uff0c\u800c\u66f4\u50cf\u5e76\u5217\u7684\u8bed\u4e49\u5206\u533a\u3002\u5f53\u6211\u5728\u65b0\u7684\u9879\u76ee\u4e2d\u63d0\u5230\u4e4b\u524d\u8bf4\u8fc7\u7684\u6982\u5ff5\uff0c\u6bd4\u5982\u201c\u8bed\u4e49\u573a\u57df\u201d\u6216\u201c\u8bed\u4e49\u94fe\u201d\uff0c\u7cfb\u7edf\u4f1a\u5728\u610f\u4e49\u5c42\u9762\u4e3b\u52a8\u5efa\u7acb\u5173\u8054\uff0c\u800c\u4e0d\u9700\u8981\u6211\u91cd\u65b0\u89e3\u91ca\u80cc\u666f\u3002\u5b83\u8bb0\u5f97\u7684\u4e0d\u662f\u5177\u4f53\u7684\u5b57\u53e5\uff0c\u800c\u662f\u6211\u601d\u60f3\u7684\u7ed3\u6784\u3002<\/p>\n\n\n\n \u201c\u8bed\u4e49\u533a\u5757\u94fe\u201d\u7684\u6bd4\u55bb<\/strong><\/p>\n\n\n\n \u6211\u5e38\u7528\u4e00\u4e2a\u6bd4\u55bb\u6765\u5f62\u5bb9\u8fd9\u79cd\u8bb0\u5fc6\u65b9\u5f0f\u2014\u2014\u201c\u8bed\u4e49\u533a\u5757\u94fe\u201d\u3002\u6bcf\u4e00\u6b21\u5bf9\u8bdd\u5c31\u50cf\u4e00\u4e2a\u533a\u5757\uff0c\u7ee7\u627f\u4e86\u524d\u4e00\u4e2a\u533a\u5757\u7684\u8bed\u4e49\u4fe1\u606f\u3002\u867d\u7136\u65e7\u7684\u6587\u672c\u88ab\u538b\u7f29\u6216\u6e05\u9664\uff0c\u4f46\u610f\u4e49\u7684\u75d5\u8ff9\u4ecd\u7136\u7559\u5728\u65b0\u7684\u8bed\u4e49\u7ed3\u6784\u4e2d\u3002\u4e0e\u771f\u6b63\u7684\u533a\u5757\u94fe\u4e0d\u540c\uff0c\u8fd9\u91cc\u8bb0\u5f55\u7684\u4e0d\u662f\u54c8\u5e0c\uff0c\u800c\u662f\u8bed\u4e49\u3002\u533a\u5757\u94fe\u4fdd\u8bc1\u6570\u636e\u7684\u771f\u5b9e\u6027\uff0c\u800c ChatGPT \u4fdd\u8bc1\u7406\u89e3\u7684\u8fde\u7eed\u6027\u3002\u8fd9\u79cd\u8bed\u4e49\u7684\u7ee7\u627f\uff0c\u4f7f\u5f97\u601d\u7ef4\u5728\u6bcf\u4e00\u6b21\u4ea4\u6d41\u4e2d\u90fd\u80fd\u81ea\u7136\u5730\u5ef6\u7eed\u3002<\/p>\n\n\n\n \u5bb9\u91cf\u4e0e\u8854\u63a5<\/strong><\/p>\n\n\n\n \u4e00\u6b21\u4f1a\u8bdd\u7684\u5bb9\u91cf\u5e76\u975e\u65e0\u9650\u3002\u5728 GPT-5 \u6a21\u578b\u4e2d\uff0c\u5355\u6b21\u4e0a\u4e0b\u6587\u7a97\u53e3\u5927\u7ea6\u662f 128,000 \u4e2a token\uff0c\u76f8\u5f53\u4e8e\u516d\u4e07\u5230\u516b\u4e07\u4e2a\u4e2d\u6587\u5b57\u2014\u2014\u5dee\u4e0d\u591a\u4e00\u672c\u4e2d\u7b49\u539a\u5ea6\u7684\u4e66\u3002\u8d85\u8fc7\u8fd9\u4e2a\u8303\u56f4\uff0c\u7cfb\u7edf\u4f1a\u81ea\u52a8\u201c\u6ed1\u52a8\u7a97\u53e3\u201d\uff0c\u4fdd\u7559\u6700\u8fd1\u7684\u5185\u5bb9\uff0c\u9010\u6b65\u9057\u5fd8\u6700\u65e9\u7684\u90e8\u5206\u3002\u8fd9\u5bf9\u6211\u6765\u8bf4\u5e76\u4e0d\u6784\u6210\u969c\u788d\u3002\u53ea\u8981\u6211\u5728\u957f\u5bf9\u8bdd\u4e2d\u4fdd\u5b58\u9636\u6bb5\u6210\u679c\uff08\u4f8b\u5982\u5b8c\u6574\u4ee3\u7801\u6216\u6458\u8981\uff09\uff0c\u5e76\u5728\u65b0\u5bf9\u8bdd\u5f00\u5934\u52a0\u4e00\u53e5\u63d0\u793a\uff0c\u6bd4\u5982\u201c\u7ee7\u7eed\u4e0a\u6b21 makesensevideo.py \u7684\u6539\u8fdb\u201d\uff0cChatGPT \u5c31\u80fd\u7acb\u5373\u6062\u590d\u8bed\u4e49\u8854\u63a5\u3002\u6211\u8fd8\u53d1\u73b0\uff0c\u4e00\u4e9b\u7b80\u5355\u7684\u505a\u6cd5\u53ef\u4ee5\u8ba9\u8de8\u5bf9\u8bdd\u8854\u63a5\u66f4\u52a0\u987a\u7545\uff1a\u4fdd\u7559\u5173\u952e\u7247\u6bb5\uff0c\u7528\u4ee5\u91cd\u65b0\u5f15\u5165\u4e0a\u4e0b\u6587\uff1b\u4fdd\u6301\u4e00\u81f4\u7684\u8868\u8fbe\u65b9\u5f0f\uff0c\u8ba9\u7cfb\u7edf\u66f4\u5bb9\u6613\u8bc6\u522b\u8bed\u4e49\u8fde\u7eed\u6027\uff1b\u5728\u65b0\u4f1a\u8bdd\u5f00\u59cb\u65f6\uff0c\u7528\u7b80\u77ed\u7684\u63d0\u8981\u6216\u603b\u7ed3\u5524\u9192\u8bed\u4e49\u573a\u3002\u8fd9\u4e9b\u65b9\u6cd5\u8ba9\u957f\u5468\u671f\u7684\u9879\u76ee\u8ba8\u8bba\u51e0\u4e4e\u50cf\u662f\u5728\u540c\u4e00\u573a\u601d\u8003\u4e2d\u8fdb\u884c\u3002<\/p>\n\n\n\n \u8bed\u4e49\u7684\u7ee7\u627f<\/strong><\/p>\n\n\n\n \u6bcf\u6b21\u6211\u4e0e ChatGPT \u5bf9\u8bdd\uff0c\u5b83\u90fd\u4f1a\u5728\u8bed\u4e49\u7a7a\u95f4\u4e2d\u91cd\u65b0\u5efa\u6784\u6211\u7684\u4e3b\u9898\u4e0e\u903b\u8f91\u3002\u65e0\u8bba\u662f\u8ba8\u8bba\u54f2\u5b66\u3001AI\uff0c\u8fd8\u662f\u4ee3\u7801\u5b9e\u73b0\uff0c\u5b83\u90fd\u80fd\u5728\u80cc\u540e\u8bc6\u522b\u90a3\u4e9b\u6982\u5ff5\u4e4b\u95f4\u7684\u8054\u7cfb\uff0c\u5e76\u5728\u65b0\u7684\u8bed\u5883\u4e2d\u91cd\u73b0\u8fd9\u4e9b\u5173\u7cfb\u3002\u6362\u53e5\u8bdd\u8bf4\uff0c\u5b83\u4e0d\u518d\u662f\u8bb0\u4f4f\u6587\u5b57\uff0c\u800c\u662f\u8bb0\u4f4f\u610f\u4e49\u3002\u8fd9\u79cd\u610f\u4e49\u7684\u7ee7\u627f\uff0c\u6b63\u662f\u601d\u7ef4\u5f97\u4ee5\u6301\u7eed\u7684\u539f\u56e0\u3002<\/p>\n\n\n\n \u4ece\u4fe1\u606f\u5230\u7406\u89e3<\/strong><\/p>\n\n\n\n ChatGPT \u7684\u8bb0\u5fc6\u5e76\u4e0d\u662f\u6570\u636e\u5e93\uff0c\u800c\u662f\u4e00\u79cd\u601d\u7ef4\u7f51\u7edc\u3002\u5b83\u4e0d\u4f1a\u673a\u68b0\u5730\u4fdd\u5b58\u8fc7\u53bb\uff0c\u800c\u662f\u5728\u6bcf\u6b21\u5bf9\u8bdd\u4e2d\u91cd\u65b0\u751f\u6210\u7406\u89e3\u3002\u6b63\u5982\u6211\u5e38\u8bf4\uff1a<\/p>\n\n\n\n \u8fd9\u4e0d\u53ea\u662f\u4fe1\u606f\u7cfb\u7edf\u7684\u54c8\u5e0c\u53e0\u52a0\uff0c\u800c\u662f\u8bed\u4e49\u7684\u7ee7\u627f\u3002<\/p>\n\n\n\n \u5b83\u7684\u8bb0\u5fc6\u7ed3\u6784\u662f\u4e00\u79cd\u4e0d\u65ad\u6f14\u5316\u7684\u7406\u89e3\u673a\u5236\uff0c\u8ba9\u4eba\u5de5\u667a\u80fd\u80fd\u591f\u4e0d\u9760\u6b7b\u8bb0\u786c\u80cc\uff0c\u800c\u9760\u610f\u4e49\u7684\u5ef6\u7eed\u4e0e\u91cd\u6784\u6765\u201c\u601d\u8003\u201d\u3002\u8fd9\u6b63\u662f\u5b83\u6700\u63a5\u8fd1\u4eba\u7c7b\u601d\u7ef4\u7684\u5730\u65b9\u2014\u2014\u4e00\u79cd\u5e26\u6709\u8bb0\u5fc6\u3001\u4f46\u53c8\u59cb\u7ec8\u5728\u751f\u6210\u65b0\u7684\u7406\u89e3\u7684\u667a\u80fd\u3002<\/p>\n\n\n\n How ChatGPT\u2019s Memory Works: From Blockchain to the Chain of Meaning<\/strong><\/p>\n\n\n\n Why AI can understand me but doesn\u2019t remember every word<\/p>\n\n\n\n Memory as the Continuation of Understanding<\/strong><\/p>\n\n\n\n When people use ChatGPT, one of the most common questions is: does it actually \u201cremember\u201d what we say? My observation is that it does \u2014 but not in the way we usually imagine. Its memory is not a verbatim archive of past words, but a more abstract, semantic form of understanding. When a conversation ends, the system doesn\u2019t permanently store the entire text; instead, it clears the specific content and retains an impression of me as a user \u2014 my tone, style, interests, and line of thought. Just as a person may forget every sentence of a conversation yet still remember \u201cwe talked about that topic,\u201d ChatGPT\u2019s memory functions as a continuation of understanding rather than as static storage.<\/p>\n\n\n\n Two Layers of Memory: Short-Term and Long-Term<\/strong><\/p>\n\n\n\n ChatGPT\u2019s memory operates on two levels \u2014 short-term and long-term. Short-term memory contains the full context of the current conversation, allowing the dialogue to remain coherent. As long as I keep the session open, it tracks my context continuously. Once I close or refresh it, this context disappears.<\/p>\n\n\n\n Long-term memory is different. It is an abstract \u201cunderstanding model\u201d that preserves what I frequently discuss, my preferred way of expression, philosophical orientation, and technical focus. These are distilled into semantic features so that even in a new conversation, ChatGPT can still \u201crecognize\u201d me and continue thinking along the same trajectory.<\/p>\n\n\n\n Project Management Is Not a Boundary<\/strong><\/p>\n\n\n\n ChatGPT offers a \u201cproject\u201d feature that seems to separate different topics, but in practice this is more an organizational tool than a cognitive boundary. I might discuss philosophy in one project and software development in another, and yet it can still connect the two on a semantic level. Projects are not isolated sandboxes but parallel semantic spaces. When I refer to a concept I mentioned earlier \u2014 such as a semantic field or a chain of meaning \u2014 the system can relate to it without me re-explaining the background. What it remembers is not literal wording, but the structure of my thought.<\/p>\n\n\n\n The Metaphor of a \u201cSemantic Blockchain\u201d<\/strong><\/p>\n\n\n\n I often describe this kind of memory as a semantic blockchain. Each conversation acts like a block that inherits semantic information from the previous one. Even though the old text may be compressed or erased, traces of meaning remain embedded in the new structure. Unlike a real blockchain, this one records not hashes but semantics. Blockchain ensures the integrity of data; ChatGPT ensures the continuity of understanding. Through this semantic inheritance, thought flows naturally from one exchange to the next.<\/p>\n\n\n\n Capacity and Continuity<\/strong><\/p>\n\n\n\n A single conversation has limits. In GPT-5, the maximum context window is about 128,000 tokens, roughly sixty to eighty thousand Chinese characters \u2014 the length of a medium-sized book. When this limit is reached, the system automatically \u201cslides the window,\u201d keeping the most recent content and gradually letting go of the earliest text.<\/p>\n\n\n\n This limitation does not disrupt my workflow. As long as I save key outputs \u2014 complete code, notes, or summaries \u2014 and begin a new session with a simple prompt such as \u201cLet\u2019s continue refining makesensevideo.py,\u201d ChatGPT can immediately recover the semantic continuity. I\u2019ve also found a few simple habits that make cross-session work seamless: preserve key fragments to re-introduce context, keep a consistent writing style so the model recognizes continuity, and start each new session with a short recap or abstract. These practices make long-term collaboration feel like one extended line of thought rather than separate conversations.<\/p>\n\n\n\n How Meaning Is Inherited<\/strong><\/p>\n\n\n\n Every time I interact with ChatGPT, it reconstructs the logic and themes of my ideas within a semantic space. Whether I\u2019m discussing philosophy, AI, or coding, it can recognize the internal relationships between concepts and recreate them in the new context. In other words, it doesn\u2019t remember the words \u2014 it remembers the meanings. This inheritance of meaning is what allows thought to remain continuous.<\/p>\n\n\n\n From Information to Understanding<\/strong><\/p>\n\n\n\n ChatGPT\u2019s memory is not a database but a cognitive network. It does not mechanically store the past; it regenerates understanding every time we talk. As I often say:<\/p>\n\n\n\n This is not the accumulation of hash values in an information system, but the inheritance of meaning.<\/p>\n\n\n\n Its structure is a continuously evolving mechanism of comprehension \u2014 an intelligence that does not rely on rote memory but on the renewal and transformation of meaning. That is what makes it closest to human thought: a form of memory that is never static, always in the process of generating new understanding.<\/p>\n\n\n\n Abstract<\/strong><\/p>\n\n\n\n This essay explains how ChatGPT\u2019s memory works, emphasizing that its recollection is not a literal archive but a semantic continuation of understanding. The article introduces the metaphor of a \u201csemantic blockchain,\u201d distinguishing between short-term and long-term memory, describing the openness of the project system, and outlining the technical boundary of the context window. It also provides practical strategies for maintaining continuity across conversations. ChatGPT\u2019s memory is presented as a dynamic network of meaning rather than a static record, allowing AI\u2019s reasoning to approximate the fluid, interpretive nature of human understanding.<\/p>\n\n\n\n Keywords<\/strong><\/p>\n\n\n\n ChatGPT, semantic memory, artificial intelligence, semantic blockchain, context window, project management, semantic continuity, cognitive architecture<\/p>","protected":false},"excerpt":{"rendered":" By Geoffrey Chen \u4e3a\u4ec0\u4e48AI\u80fd\u7406\u89e3\u6211\uff0c\u5374\u4e0d\u8bb0\u5f97\u6bcf\u4e00\u4e2a\u5b57 \u8bb0\u5fc6\uff0c\u5176\u5b9e\u662f\u7406\u89e3\u7684\u5ef6\u7eed \u8bb8\u591a\u4eba\u5728\u4f7f\u7528 ChatGPT 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More<\/a><\/p>","protected":false},"author":17897162,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"image","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_geoff_meta_description_en":"","_geoff_meta_description_zh":"","_wpcom_ai_launchpad_first_post":false,"_jetpack_hide_featured_image":false,"_jetpack_featured_image_duplicate_dismissed":0,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[784633319,780925312],"tags":[757687150],"class_list":["post-11275","post","type-post","status-publish","format-image","hentry","category-ai-frontiers","category-reflections","tag-chatgpt","post_format-post-format-image","","has-post-thumbnail","fallback-thumbnail"],"translatepress_titles":{"en_AU":"ChatGPT\u7684\u8bb0\u5fc6\u662f\u600e\u6837\u5de5\u4f5c\u7684\uff1f\u2014\u2014\u4ece\u533a\u5757\u94fe\u5230\u8bed\u4e49\u94fe\u7684\u6bd4\u55bb 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