KLH25 - 一种创造包含长期记忆、自主思维、情感和天性基础上完成数字生命的技术框架
Bibliographic record
Abstract
本文提出了 KLH25,一种开创性的技术框架,旨在创造具备完整生命特性的人造数字生命体,包括情感、自主意识、生物学习与成长能力以及长期记忆,同时具备可人为控制的底层天性。KLH25 通过全新的底层技术框架,包括神经元模式、交互模式和总体运行模式,模拟人脑运行过程实现这一目标。框架融合了人工智能、脑科学和人工生命领域的最新研究成果,通过重新设计神经元结构、交互结构和意识生命行为实现机制,并结合仿生数据压缩技术显著降低成本,完成了低成本人工数字生命的创造。其潜在应用包括替代人类的非决策性劳动并在多领域创造价值。实验结果验证了 KLH25 在底层天性控制、自主思维能力、情感能力和长期记忆方面的可行性,并通过特定方法证明了成本降低的有效性。KLH25 为廉价、可扩展的数字生命创造提供了重要突破。
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.023 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".