Google on Tuesday released three new artificial intelligence models, including Gemini 3.6 Flash, its most powerful, and Gemini 3.5 Flash Cyber, which is fine-tuned for cybersecurity.<\/p>\n
Google is aiming to compete with rivals such as Anthropic and OpenAI on cutting-edge models and on cybersecurity, an area in which the two start-ups have forged ahead this year with powerful systems that can identify security vulnerabilities in software.<\/p>\n
Gemini Flash 3.6 improves on the capabilities of Google\u2019s previous version of Flash, which performed strongly on benchmarks like coding and finance tasks, according to A.I. leaderboards. The new model is also cheaper for users.<\/p>\n
Gemini 3.5 Flash Cyber can find and patch security vulnerabilities at a lower cost than other larger models, the company said. The third model, Gemini 3.5 Flash-Lite, is designed for tasks like managing A.I. \u201cagents,\u201d which are bots that can act autonomously to function like digital personal assistants.<\/p>\n
The new Flash models were built \u201cto meet the sweet spot of efficiency and quality,\u201d Tulsee Doshi, a senior director of product management on Google\u2019s Gemini team, said in a statement.<\/p>\n
Google has also been working on a flagship A.I. model called Gemini 3.5 Pro, which is expected to be its highest performing system. The Silicon Valley company had said in May that Pro would be rolled out in June, but it remains unavailable. Google said Pro was still in testing and would be made \u201cbroadly available as soon as it\u2019s ready.\u201d<\/p>\n
Since OpenAI\u2019s ChatGPT chatbot kicked off the A.I. boom in 2022, Google has poured money and effort into leading the race. Its Gemini A.I. models soon ranked among the top A.I. tools.<\/p>\n
But in recent months, Google has been upstaged by advanced new models from Anthropic and OpenAI<\/a>, as well as new models from Chinese start-ups such as Moonshot AI. This month, Meta, the owner of Facebook and Instagram, also released a model<\/a> that crept ahead of Gemini\u2019s capabilities, according to several leaderboards.<\/p>\n Cybersecurity has increasingly been a focus for A.I. models. The systems can find flaws in software and fix them more rapidly than humans, but they can also be used to exploit vulnerabilities and carry out cyberattacks.<\/p>\n In April, Anthropic released a cybersecurity-focused model called Mythos, which it said could create a cybersecurity \u201creckoning.\u201d To prevent the powerful model from falling into the wrong hands, the company made it only available to a small group of organizations so they could defend against cyberattacks. Anthropic later released Fable, a model with similar capabilities and guardrails meant to prevent it from being used for hacking.<\/p>\n OpenAI soon introduced its own cybersecurity model and made it available to only a limited group<\/a> of organizations to prepare their defenses, before rolling it out more broadly. (The New York Times has sued<\/a> OpenAI and Microsoft, claiming copyright infringement of news content related to A.I. systems. The two companies have denied those claims.)<\/p>\n Google said it was taking a similar approach with Gemini 3.5 Flash Cyber. In testing, the model found 55 problems in a complex piece of open-source code known as V8 JavaScript Engine, including 10 vulnerabilities that no other model had uncovered before, the company said.<\/p>\n \u201cThe model will be exclusively available to governments and trusted partners,\u201d Ms. Doshi said. \u201cThis will give frontline defenders a head start in finding and fixing critical vulnerabilities before they can be exploited, while mitigating against broader misuse.\u201d<\/p>\n Google said the new Flash models would be available for a lower cost than its previous offerings. The systems use 17 percent fewer tokens, which are the units of measurement for A.I. use, than earlier models. That means developers will spend less money to complete the same tasks.<\/p>\n","protected":false},"excerpt":{"rendered":"Google on Tuesday released three new artificial intelligence models, including Gemini 3.6 Flash, its most powerful, and Gemini…\n","protected":false},"author":2,"featured_media":113613,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[24,1556,25,1586,1555,11248,2408,132,1429,1153,1588],"class_list":["post-113612","post","type-post","status-publish","format-standard","has-post-thumbnail","category-google","tag-ai","tag-anthropic-ai-llc","tag-artificial-intelligence","tag-computer-security","tag-computers-and-the-internet","tag-cyberattacks-and-hackers","tag-gemini","tag-google","tag-google-ai","tag-google-inc","tag-openai-labs"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/113612","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=113612"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/113612\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/113613"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=113612"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=113612"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=113612"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}