{"id":40312,"date":"2025-12-07T23:01:09","date_gmt":"2025-12-07T23:01:09","guid":{"rendered":"https:\/\/agooka.com\/news\/usa\/google-deepmind-ceo-demis-hassabis-says-ai-scaling-must-be-pushed-to-the-maximum\/"},"modified":"2025-12-07T23:01:09","modified_gmt":"2025-12-07T23:01:09","slug":"google-deepmind-ceo-demis-hassabis-says-ai-scaling-must-be-pushed-to-the-maximum","status":"publish","type":"post","link":"https:\/\/agooka.com\/news\/usa\/google-deepmind-ceo-demis-hassabis-says-ai-scaling-must-be-pushed-to-the-maximum\/","title":{"rendered":"Google DeepMind CEO Demis Hassabis says AI scaling &#8216;must be pushed to the maximum&#8217;"},"content":{"rendered":"<figure><img decoding=\"async\" src=\"https:\/\/i.insider.com\/6935ef9204d0f0a114f18ff0?format=jpeg\" alt=\"Demis Hassabis, Google DeepMind CEO\"\/><figcaption>Demis Hassabis, Google DeepMind CEO<\/p>\n<p>Dan Kitwood\/Getty Images<\/p>\n<\/figcaption><\/figure>\n<ul>\n<li>Google DeepMind CEO Demis Hassabis says scaling laws are vital to the tech&#039;s progress.<\/li>\n<li>Scaling requires feeding AI models ever more data and more compute.<\/li>\n<li>Some other AI leaders, however, believe the industry needs to find another way.<\/li>\n<\/ul>\n<p>There&#039;s a debate rippling through Silicon Valley: How far can scaling laws take the technology?<\/p>\n<p>Google DeepMind CEO Demis Hassabis, whose company just released Gemini 3 to widespread acclaim, has made it clear where he stands on the issue.<\/p>\n<p>&quot;The scaling of the current systems, we must push that to the maximum, because at the minimum, it will be a key component of the final AGI system,&quot; he said at the Axios&#039; AI+ Summit in San Francisco last week. &quot;It could be the entirety of the AGI system.&quot;<\/p>\n<p>AGI, or artificial general intelligence, is a still theoretical version of AI that reasons as well as humans. It&#039;s the goal all the leading AI companies are competing to reach, fueling huge amounts of spending on infrastructure and talent.<\/p>\n<p>AI scaling laws suggest that the more data and compute an AI model is given, the smarter it will get.<\/p>\n<p>Hassabis said that scaling alone will likely get the industry to AGI, but that he suspects there will need to be&quot;one or two&quot; other breakthroughs as well.<\/p>\n<p>The problem with scaling alone is that there is a limit to publicly available data, and adding compute means building data centers, which is expensive and taxing on the environment.<\/p>\n<p>Some AI watchers are also concerned that the AI companies behind the leading large-language models are beginning to show diminishing returns on their massive investments in scaling.<\/p>\n<p>Researchers like Yann LeCun, the chief AI scientist at Meta who recently announced he was leaving to run his own startup, believe the industry needs to consider another way.<\/p>\n<p>&quot;Most interesting problems scale extremely badly,&quot; he said at the National University of Singapore in April. &quot;You cannot just assume that more data and more compute means smarter AI.&quot;<\/p>\n<p>LeCun is leaving Meta to work on building world models, an alternative to large-language models that rely on collecting spatial data rather than language-based data.<\/p>\n<p>&quot;The goal of the startup is to bring about the next big revolution in AI: systems that understand the physical world, have persistent memory, can reason, and can plan complex action sequences,&quot; he wrote on LinkedIn in November.<\/p>\n<p>Read the original article on Business Insider<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Demis Hassabis, Google DeepMind CEO Dan Kitwood\/Getty Images Google DeepMind CEO Demis Hassabis says scaling laws are vital to the tech&#039;s progress. Scaling requires feeding AI models ever more data and more compute. Some other AI leaders, however, believe the industry needs to find another way. There&#039;s a debate rippling through Silicon Valley: How far [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":40313,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[],"class_list":{"0":"post-40312","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-usa"},"_links":{"self":[{"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/posts\/40312","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/comments?post=40312"}],"version-history":[{"count":0,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/posts\/40312\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/media\/40313"}],"wp:attachment":[{"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/media?parent=40312"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/categories?post=40312"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/agooka.com\/news\/wp-json\/wp\/v2\/tags?post=40312"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}