The AI race is moving quickly.<\/p>\n
And as quickly as companies develop new models, raise new funding, and make new hires, so too does the tech industry\u2019s view of the field’s key players shift.<\/p>\n
So, after weeks as the industry\u2019s darling, Anthropic has seen this past week defined by its perceived shortcomings.<\/p>\n
On Thursday, Anthropic released its latest model<\/a>, Claude Opus 4.7.<\/p>\n Notably, this is not its most advanced model \u2014 that is Mythos Preview, which it has released to a select number of partners as part of Project Glasswing.<\/p>\n The challenge, however, is that users have noticed.<\/p>\n Tae Kim, author of the newsletter Key Context<\/a> and a recent book on Nvidia, compiled a series of complaints from notable commentators on X, highlighting a variety of perceived deficiencies in Opus 4.7.<\/p>\n Gergely Orosz, who writes the Pragmatic Engineer<\/a> newsletter, also called Opus 4.7 \u201csurprisingly combative<\/a>.\u201d<\/p>\n Orosz has also been among those in the tech space, noting that Claude has notably struggled to keep up with tasks in recent weeks.<\/p>\n Anthropic\u2019s compute disadvantage \u2014 that is, the amount of raw computing power available to the company \u2014 relative to OpenAI has become a major point of discussion as adoption of Claude, specifically Claude Code, has ramped in recent weeks.<\/p>\n This also comes as the company\u2019s rollout of Mythos Preview continues to confound some commentators, with a description of its capabilities \u2014 but a less transparent view of its benchmarks \u2014 making the cybersecurity vulnerabilities reportedly surfaced by Mythos feel like a blend of PR spin and a true AGI moment.<\/p>\n","protected":false},"excerpt":{"rendered":"The AI race is moving quickly. And as quickly as companies develop new models, raise new funding, and…\n","protected":false},"author":2,"featured_media":8282,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[24,53,25,7257,3123],"class_list":{"0":"post-8281","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-ai","8":"tag-ai","9":"tag-anthropic","10":"tag-artificial-intelligence","11":"tag-marvell","12":"tag-semiconductor"},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/8281","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=8281"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/8281\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/8282"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=8281"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=8281"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=8281"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}