{"id":1018169,"date":"2026-07-01T11:29:49","date_gmt":"2026-07-01T05:59:49","guid":{"rendered":"https:\/\/telecomlive.in\/web\/?p=1018169"},"modified":"2026-07-01T11:29:49","modified_gmt":"2026-07-01T05:59:49","slug":"ibms-1-nanometer-chip-googles-ai-policy-pitch-and-chinese-ai","status":"publish","type":"post","link":"https:\/\/telecomlive.in\/web\/2026\/07\/01\/ibms-1-nanometer-chip-googles-ai-policy-pitch-and-chinese-ai\/","title":{"rendered":"IBM\u2019s 1-nanometer chip, Google\u2019s AI policy pitch, and Chinese AI"},"content":{"rendered":"<p>Cognitive warmup. China\u2019s Zhipu AI (Z.ai) has an open-weight GLM-5.2 model which some researchers insist matches Anthropic\u2019s controversial Mythos in certain cybersecurity and vulnerability identification tasks. It must be noted that while GLM lags compared to other models from Anthropic and OpenAI in more general tasks, this is a representation that Chinese AI models have systematically reduced the gap in average capabilities compared with other AI companies.<\/p>\n<p>GLM-5.2 continues to rank among the 10 most-used AI models on OpenRouter\u2019s LLM leaderboard, siting alongside models from Anthropic, Deepseek, Xiaomi and Tencent. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>Cognitive warmup. China\u2019s Zhipu AI (Z.ai) has an open-weight GLM-5.2 model which some researchers insist matches Anthropic\u2019s controversial Mythos in certain cybersecurity and vulnerability identification tasks. It must be noted that while GLM lags compared to other models from Anthropic and OpenAI in more general tasks, this is a representation that Chinese AI models have systematically reduced the gap in average capabilities compared with other AI companies. GLM-5.2 continues to rank among the 10 most-used AI models on OpenRouter\u2019s LLM leaderboard, siting alongside models from Anthropic, Deepseek, Xiaomi and Tencent.<\/p>\n","protected":false},"author":11,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[15,51,4],"tags":[],"class_list":["post-1018169","post","type-post","status-publish","format-standard","hentry","category-hindustantimes","category-it-2-hindustantimes","category-newspapers"],"acf":[],"_links":{"self":[{"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/posts\/1018169","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/comments?post=1018169"}],"version-history":[{"count":1,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/posts\/1018169\/revisions"}],"predecessor-version":[{"id":1018170,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/posts\/1018169\/revisions\/1018170"}],"wp:attachment":[{"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/media?parent=1018169"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/categories?post=1018169"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/telecomlive.in\/web\/wp-json\/wp\/v2\/tags?post=1018169"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}