{"id":46057,"date":"2025-11-16T11:52:41","date_gmt":"2025-11-16T03:52:41","guid":{"rendered":"https:\/\/www.1ai.net\/?p=46057"},"modified":"2025-11-16T11:52:41","modified_gmt":"2025-11-16T03:52:41","slug":"%e8%b0%b7%e6%ad%8c-ai-%e7%a0%b4%e8%af%91%e5%8f%a4%e7%b1%8d%e6%96%b0%e5%b7%85%e5%b3%b0%ef%bc%9a%e9%94%99%e8%af%af%e7%8e%87%e4%bb%85-0-56%ef%bc%8c%e5%87%86%e7%a1%ae%e7%8e%87%e5%aa%b2%e7%be%8e%e4%ba%ba","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/46057.html","title":{"rendered":"GOOGLE AI DECIPHERING THE ANCIENTS' NEW PEAK: THE ERROR RATE IS ONLY 0.561 TP3T, WHICH COMPARES WITH HUMAN EXPERTS"},"content":{"rendered":"<p>11 \u6708 16 \u65e5\u6d88\u606f\uff0c\u79d1\u6280\u5a92\u4f53 golem \u6628\u65e5\uff0811 \u6708 15 \u65e5\uff09\u53d1\u5e03\u535a\u6587\uff0c\u62a5\u9053\u79f0<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e8%b0%b7%e6%ad%8c\" title=\"\u3010\u67e5\u770b\u542b\u6709[\u8c37\u6b4c]\u6807\u7b7e\u7684\u6587\u7ae0\u3011\" target=\"_blank\" rel=\"noopener\">\u8c37\u6b4c<\/a>\u901a\u8fc7\u5176 AI Studio \u5e73\u53f0\uff0c<strong>\u6b63\u6d4b\u8bd5\u4e00\u6b3e\u5c1a\u672a\u547d\u540d\u7684 <a href=\"https:\/\/www.1ai.net\/en\/tag\/ai%e6%a8%a1%e5%9e%8b\" title=\"\u3010\u67e5\u770b\u542b\u6709[AI\u6a21\u578b]\u6807\u7b7e\u7684\u6587\u7ae0\u3011\" target=\"_blank\" rel=\"noopener\">AI\u6a21\u578b<\/a>\uff0c\u5728\u7834\u8bd1\u96be\u4ee5\u8fa8\u8ba4\u7684\u5386\u53f2\u624b\u7a3f\u65b9\u9762\u5df2\u63a5\u8fd1\u4eba\u7c7b\u4e13\u5bb6\u7684\u6c34\u5e73\u3002<\/strong><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-46058\" title=\"08013b6ej00t5sw2j003yd000r300rop\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2025\/11\/08013b6ej00t5sw2j003yd000r300rop.jpg\" alt=\"08013b6ej00t5sw2j003yd000r300rop\" width=\"975\" height=\"996\" \/><\/p>\n<p>1AI\u63f4\u5f15\u535a\u6587\u4ecb\u7ecd\uff0c\u5386\u53f2\u5b66\u5bb6 Mark Humphries \u4f7f\u7528\u4e00\u5957\u4e13\u95e8\u5f00\u53d1\u7684\u57fa\u51c6\u6570\u636e\u96c6\uff0c\u7cfb\u7edf\u6027\u5730\u6d4b\u8bd5\u4e86\u8be5\u6a21\u578b\u7684\u6027\u80fd\u3002\u7ed3\u679c\u8868\u660e\uff0c\u5728\u5904\u7406\u4e94\u4efd\u9ad8\u96be\u5ea6\u5386\u53f2\u624b\u7a3f\u65f6\uff0c\u8be5\u6a21\u578b\u7684\u6574\u4f53\u5b57\u7b26\u9519\u8bef\u7387\u7ea6\u4e3a 1.7%\uff0c\u5176\u4e2d\u5927\u90e8\u5206\u9519\u8bef\u6d89\u53ca\u6807\u70b9\u7b26\u53f7\u548c\u5927\u5c0f\u5199\uff0c\u800c\u975e\u5355\u8bcd\u672c\u8eab\u3002<\/p>\n<p>Humphries \u7684\u8bc4\u4f30\u8fdb\u4e00\u6b65\u6307\u51fa\uff0c\u5982\u679c\u6392\u9664\u6a21\u7cca\u7684\u6807\u70b9\u7b26\u53f7\u548c\u5927\u5c0f\u5199\u9519\u8bef\uff0c\u8be5 AI \u6a21\u578b\u7684\u5b57\u7b26\u9519\u8bef\u7387\u5c06\u9aa4\u964d\u81f3\u7ea6 0.56%\uff0c\u76f8\u5f53\u4e8e\u6bcf\u8f6c\u5199 200 \u4e2a\u5b57\u7b26\u624d\u51fa\u73b0\u4e00\u4e2a\u9519\u8bef\u3002<\/p>\n<p>\u8fd9\u4e00\u60ca\u4eba\u7684\u51c6\u786e\u5ea6\uff0c\u8ba9\u5176\u6027\u80fd\u8db3\u4ee5\u4e0e\u4ece\u4e8b\u5386\u53f2\u6587\u732e\u8f6c\u5199\u7684\u4e13\u4e1a\u4eba\u7c7b\u5de5\u4f5c\u8005\u76f8\u63d0\u5e76\u8bba\u3002\u6b64\u6b21\u6d4b\u8bd5\u7684\u6587\u6863\u6db5\u76d6\u4e86 18 \u81f3 19 \u4e16\u7eaa\u7684\u591a\u79cd\u624b\u5199\u98ce\u683c\uff0c\u5176\u4e2d\u4e0d\u4e4f\u5b57\u8ff9\u6f66\u8349\u3001\u62fc\u5199\u9519\u8bef\u548c\u8bed\u6cd5\u4e0d\u4e00\u81f4\u7684\u590d\u6742\u6837\u672c\uff0c\u8fdb\u4e00\u6b65\u51f8\u663e\u4e86\u8be5\u6a21\u578b\u7684\u5f3a\u5927\u80fd\u529b\u3002<\/p>\n<p>\u8be5\u6a21\u578b\u6700\u4ee4\u4eba\u610f\u5916\u7684\u8868\u73b0\uff0c\u662f\u5176\u8d85\u8d8a\u4e86\u7b80\u5355\u7684\u6587\u5b57\u8f6c\u5199\uff0c\u5c55\u73b0\u51fa\u590d\u6742\u7684\u63a8\u7406\u80fd\u529b\u3002\u5728\u5904\u7406\u4e00\u4efd 18 \u4e16\u7eaa\u5546\u4eba\u7684\u65e5\u8bb0\u65f6\uff0c\u539f\u6587\u4e2d\u6709\u4e00\u6761\u5173\u4e8e\u8d2d\u4e70\u7cd6\u7684\u8bb0\u5f55\uff0c\u4ec5\u6807\u8bb0\u4e86\u6570\u5b57\u201c145\u201d\uff0c\u5e76\u672a\u6ce8\u660e\u8ba1\u91cf\u5355\u4f4d\u3002<\/p>\n<p>\u8c37\u6b4c\u7684 AI \u6a21\u578b\u5e76\u672a\u76f4\u63a5\u8f6c\u5199\u4e3a\u201c145\u201d\uff0c\u800c\u662f\u8f93\u51fa\u4e86\u201c14 \u78c5 5 \u76ce\u53f8\u201d\u3002\u7814\u7a76\u4eba\u5458\u53d1\u73b0\uff0cAI \u662f\u901a\u8fc7\u53cd\u5411\u8ba1\u7b97\u8d26\u672c\u4e2d\u8bb0\u5f55\u7684\u603b\u4ef7\uff0c\u5e76\u7ed3\u5408\u5f53\u65f6\u82f1\u56fd\u7684\u8d27\u5e01\uff08\u78c5\u3001\u5148\u4ee4\u3001\u4fbf\u58eb\uff09\u4e0e\u91cd\u91cf\u5355\u4f4d\u5173\u7cfb\uff0c\u624d\u6210\u529f\u63a8\u65ad\u51fa\u8fd9\u4e00\u7ed3\u679c\u3002<\/p>\n<p>\u5c3d\u7ba1\u521d\u6b65\u7ed3\u679c\u4ee4\u4eba\u632f\u594b\uff0c\u4f46 Humphries \u4e5f\u5f3a\u8c03\u4e86\u5f53\u524d\u8bc4\u4f30\u7684\u5c40\u9650\u6027\u3002\u7531\u4e8e\u8be5\u6a21\u578b\u901a\u8fc7 A\/B \u6d4b\u8bd5\u5f62\u5f0f\u96f6\u661f\u51fa\u73b0\uff0c\u7cfb\u7edf\u6027\u5730\u8fdb\u884c\u5927\u89c4\u6a21\u6d4b\u8bd5\u5b58\u5728\u56f0\u96be\uff0c\u76ee\u524d\u4ec5\u8bc4\u4f30\u4e86\u57fa\u51c6\u6570\u636e\u96c6\u4e2d\u7ea6 10% \u7684\u6837\u672c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>On November 16, according to the news, Golem yesterday, November 15, published an article in which it reported that Google, through its Al Studio platform, was testing an unnamed AI model that was close to human experts in deciphering hard-to-read historical manuscripts. 1AI cites the presentation that the performance of the model was systematically tested by historian Mark Humphreys using a specially developed baseline data set. The results show that when dealing with five difficult historical manuscripts, the overall character error rate of the model is approximately 1.7%, most of which relates to the symbol and case, rather than the word itself. The Humphries assessment further noted that if vague notation and large<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[146],"tags":[167,281],"collection":[],"class_list":["post-46057","post","type-post","status-publish","format-standard","hentry","category-news","tag-ai","tag-281"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/46057","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=46057"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/46057\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=46057"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=46057"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=46057"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=46057"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}