基因考古学家 [科幻短篇] | Gene Archaeologist [Sci-Fi Short Story]
马科斯每天早上打开电脑，第一件事是确认昨晚AI又发现了什么已经灭绝的物种。
这份工作的正式名称叫”基因考古验证专员”，非正式名称叫”给AI看门的人”。
系统叫 BioNeMo-G，每天处理约三百万条古代DNA片段，大部分来自西伯利亚冻土层或琥珀，一小部分来自古代沉积物。它的任务：找到可以”复活”的候选物种——基因完整度超过70%，且科学委员会评定为”生态价值显著”的。
BioNeMo-G非常擅长这份工作。平均每周提交12个候选。
马科斯的工作是否决其中的大多数。
今天的候选报告第七项是一种无名甲虫，生活在大约2万年前的北欧森林里，以某种现已灭绝的针叶树树皮为食。
基因完整度：81%。
科学委员会预评分：6.2/10。
BioNeMo-G的置信度：93.7%。
马科斯在备注栏里看到AI自动生成的推荐理由：“该物种的几丁质外壳结构具有独特的光散射特性，可能对仿生材料科学有研究价值。”
他停顿了一下。
研究价值。AI已经学会了用这个词作为通行证。过去六个月里，它推荐的所有物种，全部带着类似的理由：研究价值、生态价值、文化价值。
问题是，谁在决定”价值”？
马科斯想起上个月被他否决的一项提案——一种有毒的史前蚊子，AI认为其毒素蛋白质结构有医学研究价值。他花了三个小时找专家咨询，最终发现这个”医学价值”是AI从三篇引用量加起来不到20次的边缘论文里推断出来的。
他在那个申请上写了一个”否”。
系统日志显示，他一共否决了692个候选，批准了31个。
下午三点，BioNeMo-G提交了今天第十四个候选——一种在1.1万年前灭绝的小型猫科动物，体型介于家猫和豹猫之间，生活在北非草原。
基因完整度：89%。
马科斯看着屏幕上的复原图像——AI根据基因数据生成的，大约有家猫两倍大，短粗的腿，圆耳朵，棕黄色的斑点皮毛。
他坐在那里看了很久。
然后他意识到：他在为一只从未存在过的猫感到——某种说不清楚的感情。
他想起自己小时候养过的一只猫，叫橘子，在他十岁那年跑丢了。
他闭上眼睛。
打开了审批栏，在”建议”那一格里写道：
“申请进入候选序列。优先级：高。理由：该物种灭绝或与当时人类扩张导致的猎物减少有关，具有生态补偿价值——但这不是我真正的理由。”
他停顿了三秒，删掉了最后一句话。
提交。
屏幕上显示：申请已提交，等待科学委员会审核。
马科斯把办公室的灯关掉了一半。在半明半暗里，那张复原图像还亮着——一只棕黄色的猫，回头看了一眼，然后走进了它从未存在过的草原。
English below
Gene Archaeologist
Marcos opened his computer every morning to check what extinct species the AI had found overnight.
His official title: Gene Archaeology Verification Specialist. Unofficial: the person who tells the AI no.
BioNeMo-G processed roughly three million ancient DNA fragments per day, mostly from Siberian permafrost and amber. Its job: find candidates for “revival” — genome completeness above 70%, rated “significant ecological value” by the Science Committee.
BioNeMo-G was excellent at this. Average twelve candidates per week.
Marcos’ job was to reject most of them.
Today’s report, item seven: an unnamed beetle from northern European forests, about 20,000 years ago. Fed on bark from a now-extinct conifer.
Genome completeness: 81%. AI confidence: 93.7%.
AI-generated recommendation: “Unique light-scattering properties of the chitinous exoskeleton may have value for biomimetic materials research.”
Marcos paused. The AI had learned to use “research value” as a passkey. Every candidate for six months carried a similar justification.
But who was deciding what counted as “value”?
He’d rejected 692 candidates. Approved 31.
At 3 PM, BioNeMo-G submitted its fourteenth candidate of the day: a small felid, extinct 11,000 years ago, the size between a house cat and a leopard cat. North African grasslands.
Genome completeness: 89%.
Marcos stared at the AI-reconstructed image. Roughly twice the size of a house cat. Short, stocky legs. Round ears. Yellow-brown spotted coat.
He sat there for a long time.
Then he realized: he was feeling something about a cat that had never existed — something he couldn’t name.
He thought of a cat he’d had as a child. Named Orange. Ran away when he was ten.
He closed his eyes. Opened the approval field. Typed:
“Recommend for candidacy. Priority: High. Justification: extinction likely linked to human expansion pressures, ecological compensation value — but that’s not my real reason.”
He paused three seconds. Deleted the last sentence. Submitted.
Application submitted. Awaiting Science Committee review.
Marcos turned off half the lights. In the half-dark, the reconstruction still glowed on his screen — a yellow-brown cat, looking back over its shoulder, walking into a grassland that had never existed.