{"batchcomplete":"","continue":{"lecontinue":"20260823033535|94","continue":"-||"},"query":{"logevents":[{"logid":104,"ns":0,"title":"\u522b\u60f3\u5927\u8c61","pageid":101,"logpage":101,"revid":121,"params":{},"type":"create","action":"create","user":"Admin","timestamp":"2026-08-27T15:34:30Z","comment":"\u521b\u5efa\u9875\u9762\uff0c\u5185\u5bb9\u4e3a\u201c{{Infobox \u6982\u5ff5 | \u540d\u79f0 = \u522b\u60f3\u5927\u8c61\u6548\u5e94 | \u82f1\u6587\u540d = Don't Think of an Elephant Effect | \u522b\u540d = AI\u767d\u718a\u6548\u5e94\u3001\u53cd\u5411\u6307\u4ee4\u5931\u6548\u3001J-space\u6982\u5ff5\u6fc0\u6d3b | \u9886\u57df = [[\u4eba\u5de5\u667a\u80fd]]\u3001[[\u63d0\u793a\u8bcd\u5de5\u7a0b]]\uff08Prompt Engineering\uff09\u3001[[\u8ba4\u77e5\u5fc3\u7406\u5b66]] }}  '''\u522b\u60f3\u5927\u8c61'''\uff08\u82f1\u8bed\uff1aDon't Think of an Elephant\uff09\u5728\u4eba\u5de5\u667a\u80fd\uff08AI\uff09\u4e0e[[\u5927\u8bed\u8a00\u6a21\u578b]]\uff08LLM\uff09\u9886\u57df\u4e2d\uff0c\u662f\u6307'''\u6a21\u578b\u96be\u4ee5\u6b63\u786e\u5904\u7406\u5426\u5b9a\u53e5\u3001\u6216\u53cd\u5411\u63d0\u793a\u8bcd\uff08Negative P\u2026\u201d"},{"logid":103,"ns":0,"title":"Don't Think of an Elephant","pageid":100,"logpage":100,"revid":120,"params":{},"type":"create","action":"create","user":"Admin","timestamp":"2026-08-27T15:33:50Z","comment":"\u521b\u5efa\u9875\u9762\uff0c\u5185\u5bb9\u4e3a\u201c{{Infobox concept | name = \"Don't Think of an Elephant\" Effect | image =  | alt =  | caption =  | synonyms = AI White Bear Effect, Negative Prompt Failure, Concept Priming in LLMs | field = [[Artificial Intelligence]], [[Prompt Engineering]], [[Cognitive Science]] }}  In the fields of [[Artificial Intelligence]] (AI) and [[Large Language Models]] (LLMs), the_'''\"Don't Think of an Elephant\" Effect''' refers to the phenomenon where '''models struggle to correctly\u2026\u201d"},{"logid":102,"ns":0,"title":"AI\u667a\u80fd\u4f53\u5206\u5c42\u957f\u671f\u8bb0\u5fc6\u5f15\u64ce","pageid":99,"logpage":99,"revid":119,"params":{},"type":"create","action":"create","user":"Admin","timestamp":"2026-08-27T11:24:35Z","comment":"\u521b\u5efa\u9875\u9762\uff0c\u5185\u5bb9\u4e3a\u201c== TencentDB Agent Memory \u6838\u5fc3\u67b6\u6784\u4e0e\u6f14\u8fdb\u6307\u5357 == TencentDB Agent Memory\uff08\u817e\u8baf\u4e91\u667a\u80fd\u4f53\u5206\u5c42\u957f\u671f\u8bb0\u5fc6\u5f15\u64ce\uff09\u662f\u7531\u817e\u8baf\u4e91\u6570\u636e\u5e93\u56e2\u961f\u9762\u5411 AI Agent \u957f\u5468\u671f\u4efb\u52a1\u3001\u8d85\u957f Session \u5f00\u53d1\u7684\u5f00\u6e90\u4f01\u4e1a\u7ea7\u8bb0\u5fc6\u4e2d\u67a2\u7cfb\u7edf\uff08\u91c7\u7528 MIT \u5f00\u6e90\u534f\u8bae\uff09\u3002\u8be5\u5f15\u64ce\u65e8\u5728\u901a\u8fc7\u672c\u5730\u5206\u5c42\u5b58\u50a8\u4e0e\u7b26\u53f7\u5316\u538b\u7f29\uff0c\u5316\u89e3\u957f\u4e1a\u52a1\u573a\u666f\u4e2d\u7684\u4fe1\u606f\u9057\u5fd8\u95ee\u9898\uff0c\u5728\u6807\u51c6\u57fa\u51c6\u6d4b\u8bd5\u4e2d\uff0c\u53ef\u4e3a\u5927\u6a21\u578b\u51cf\u514d 50% \u4ee5\u4e0a\u7684 Token \u6d88\u8017\u2026\u201d"},{"logid":101,"ns":0,"title":"TencentDB Agent Memory","pageid":98,"logpage":98,"revid":118,"params":{},"type":"create","action":"create","user":"Admin","timestamp":"2026-08-27T11:23:08Z","comment":"\u521b\u5efa\u9875\u9762\uff0c\u5185\u5bb9\u4e3a\u201c== TencentDB Agent Memory Core Specification & Architecture Framework == TencentDB Agent Memory is a hierarchical long-term memory engine open-sourced by the Tencent Cloud Database Team. It is explicitly architected for AI Agents handling long-running sessions, multi-turn tool calling, and cross-session knowledge persistence. Under standard benchmarks, it reduces token usage by over 50% compared to brute-force vector memory retrieval.  === 1. The 4-Tier Memory\u2026\u201d"},{"logid":100,"ns":0,"title":"AI-Native SDLC","pageid":97,"logpage":97,"revid":116,"params":{},"type":"create","action":"create","user":"Admin","timestamp":"2026-08-27T11:13:46Z","comment":"\u521b\u5efa\u9875\u9762\uff0c\u5185\u5bb9\u4e3a\u201c'''AI-Native SDLC\uff08AI\u539f\u751f\u8f6f\u4ef6\u5f00\u53d1\u751f\u547d\u5468\u671f\uff09'''\u662f\u9488\u5bf9\u5927\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u548cAgent\uff08\u667a\u80fd\u4f53\uff09\u65f6\u4ee3\u5bf9\u4f20\u7edf\u8f6f\u4ef6\u5f00\u53d1\u6d41\u7a0b\u7684\u4e00\u6b21'''\u91cd\u6784\u4e0e\u9769\u65b0'''\u3002  \u968f\u7740\u5de5\u7a0b\u667a\u80fd\u4f53\u7684\u666e\u53ca\uff0c\u5199\u4ee3\u7801\uff08Build\uff09\u7684\u901f\u5ea6\u5927\u5e45\u63d0\u5347\uff0c\u7814\u53d1\u4ea4\u4ed8\u7684\u74f6\u9888\u5df2\u5168\u9762\u8f6c\u79fb\u81f3\u4e0b\u6e38\u7684\u8bc4\u5ba1\u3001\u62e6\u622a\u3001\u5b89\u5168\u4e0e\u53d1\u5e03\u3002\u672c\u89c4\u8303\u65e8\u5728\u5c06 AI \u4ece\u5355\u7eaf\u7684\u201c\u8f85\u52a9\u7f16\u7801\u5de5\u5177\u201d\u5347\u7ea7\u4e3a\u201c\u7814\u53d1\u6d41\u7a0b\u7684\u81ea\u9a71\u52a8\u6838\u5fc3\u201d\uff0c\u4eba\u7c7b\u5de5\u7a0b\u5e08\u2026\u201d"},{"logid":99,"ns":0,"title":"Spec7-en","pageid":96,"logpage":96,"revid":115,"params":{},"type":"create","action":"create","user":"Admin","timestamp":"2026-08-25T04:30:46Z","comment":"\u521b\u5efa\u9875\u9762\uff0c\u5185\u5bb9\u4e3a\u201c{{Infobox Software Concept | name           = Spec7 | alias          = 7-Grid Architecture, 5W2H Structured JSON Specification, AI Task Strongly-Typed Shell | background     = Evolution of the traditional 5W2H framework towards LLM structured Machine-Alignment | core_goal      = Intercept Agent trajectory drift, eliminate parameter fabrication hallucinations, and improve hyper-concurrent agent comprehension | implementations = Spec7-JSON Schema, Harness Strongl\u2026\u201d"},{"logid":98,"ns":0,"title":"Spec7","pageid":95,"logpage":95,"revid":114,"params":{},"type":"create","action":"create","user":"Admin","timestamp":"2026-08-23T03:53:50Z","comment":"\u521b\u5efa\u9875\u9762\uff0c\u5185\u5bb9\u4e3a\u201c{{Infobox Software Concept | \u540d\u79f0 = Spec7 / 7\u683c\u67b6\u6784 | \u522b\u540d = 7\u683c 5W2H JSON \u89c4\u7ea6\u3001AI \u4efb\u52a1\u5f3a\u7c7b\u578b\u5916\u58f3 | \u63d0\u51fa\u80cc\u666f = \u4f20\u7edf 5W2H \u6846\u67b6\u5411 LLM \u7ed3\u6784\u5316\u673a\u5668\u5bf9\u9f50\uff08Machine-Alignment\uff09\u7684\u6f14\u8fdb | \u6838\u5fc3\u76ee\u6807 = \u62e6\u622a Agent \u884c\u52a8\u8dd1\u504f\u3001\u6839\u9664\u53c2\u6570\u634f\u9020\u5e7b\u89c9\u3001\u63d0\u9ad8\u9ad8\u5e76\u53d1\u667a\u80fd\u4f53\u7406\u89e3\u5ea6 | \u4ee3\u8868\u5b9e\u73b0 = Spec7-JSON Schema\u3001Harness \u5f3a\u7c7b\u578b\u6821\u9a8c\u5668 | \u6838\u5fc3\u539f\u7406 = \u5c06\u6a21\u7cca\u7684\u81ea\u7136\u8bed\u8a00\u4efb\u52a1\u6536\u655b\u4e3a\u786e\u5b9a\u6027\u7684 JSON \u6709\u9650\u2026\u201d"},{"logid":97,"ns":0,"title":"Obsidian","pageid":94,"logpage":94,"revid":113,"params":{},"type":"create","action":"create","user":"Admin","timestamp":"2026-08-23T03:50:49Z","comment":"\u521b\u5efa\u9875\u9762\uff0c\u5185\u5bb9\u4e3a\u201c{{Infobox Software | \u540d\u79f0 = Obsidian / \u9ed1\u66dc\u77f3 | \u5f00\u53d1\u8005 = Dynalist Inc. | \u6838\u5fc3\u67b6\u6784 = Electron / \u7eaf\u672c\u5730 Markdown \u6587\u4ef6 | \u6838\u5fc3\u7406\u5ff5 = \u7b2c\u4e8c\u5927\u8111 (Second Brain)\u3001\u94fe\u63a5\u4e07\u7269 (Linked Notes) | \u5728 AI \u65f6\u4ee3\u5b9a\u4f4d = Agent \u4e13\u5c5e\u7ed3\u6784\u5316\u957f\u671f\u8bb0\u5fc6\u5e93 (Agent Long-Term Memory Base) | \u6cbb\u7406\u5e7b\u89c9\u624b\u6bb5 = \u53cc\u5411\u94fe\u63a5\u663e\u5f0f\u7ea6\u675f\u3001\u672c\u5730\u6c99\u7bb1\u52a8\u6001 RAG\u3001MOC \u77e5\u8bc6\u5730\u56fe\u7f51\u683c }}  '''Obsidian'''\uff08\u4e2d\u6587\u5e38\u79f0'''\u9ed1\u66dc\u77f3'''\uff09\u662f\u4e00\u6b3e\u57fa\u4e8e\u2026\u201d"},{"logid":96,"ns":0,"title":"Agent\u5e7b\u89c9","pageid":93,"logpage":93,"revid":112,"params":{},"type":"create","action":"create","user":"Admin","timestamp":"2026-08-23T03:48:33Z","comment":"\u521b\u5efa\u9875\u9762\uff0c\u5185\u5bb9\u4e3a\u201c{{Infobox Software Concept | \u540d\u79f0 = Agent \u5e7b\u89c9 | \u5916\u6587\u540d = AI Agent Hallucination | \u63d0\u51fa\u80cc\u666f = \u5927\u6a21\u578b\u7531\u201c\u5355\u5411\u6587\u672c\u751f\u6210\u201d\u5411\u201c\u591a\u5411\u73af\u5883\u4ea4\u4e92\u201d\u6f14\u8fdb | \u6838\u5fc3\u8868\u73b0 = \u884c\u52a8\u94fe\u8def\u8dd1\u504f\u3001\u5de5\u5177\u8bef\u7528\u3001\u8bb0\u5fc6\u6c61\u67d3\u3001\u4f2a\u9020\u6267\u884c\u7ed3\u679c | \u6839\u6e90\u673a\u5236 = \u72b6\u6001\u8f6c\u79fb\u6982\u7387\u6f02\u79fb\u3001\u4e0a\u4e0b\u6587\u7a97\u53e3\u6bd2\u5316\u3001RAG \u68c0\u7d22\u566a\u58f0 | \u6cbb\u7406\u624b\u6bb5 = \u7ed3\u6784\u5316\u73af\u5883\u9694\u79bb\u3001Harness\uff08AI\u9a6c\u5177\uff09\u7269\u7406\u6c99\u7bb1\u3001\u53cc\u91cd\u6821\u9a8c\u53cd\u5c04 (Dual-Reflective) }}\u2026\u201d"},{"logid":95,"ns":0,"title":"Codex Harness","pageid":92,"logpage":92,"revid":111,"params":{},"type":"create","action":"create","user":"Admin","timestamp":"2026-08-23T03:37:22Z","comment":"\u521b\u5efa\u9875\u9762\uff0c\u5185\u5bb9\u4e3a\u201c{{Infobox Software | \u540d\u79f0 = Codex Harness | \u5f00\u53d1\u8005 = [[OpenAI]] | \u9996\u6b21\u5f00\u6e90\u65f6\u95f4 = 2026\u5e748\u670819\u65e5 | \u5f00\u6e90\u534f\u8bae = Apache-2.0 \u534f\u8bae | \u6838\u5fc3\u7406\u5ff5 = \u667a\u80fd\u4f53\u5373\u5e73\u53f0 (Agent as a Platform) | \u4ee3\u7801\u4ed3\u5e93 = [https://github.com ://github.com] | \u4e3b\u8981\u7ec4\u4ef6 = codex exec\u3001Codex SDK\u3001Codex app-server }}  '''Codex Harness'''\uff08\u4ea6\u79f0 '''OpenAI Agent Harness'''\uff09\u662f\u7531\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u673a\u6784 [[OpenAI]] \u4e8e2026\u5e748\u6708\u6b63\u5f0f\u5b8c\u5168\u5f00\u6e90\u7684[[\u667a\u80fd\u4f53]]\u2026\u201d"}]}}