Google I\/O 2026<\/a> was all about how we\u2019re making AI useful for everybody in new methods. However we didn\u2019t simply make bulletins about our improvements in AI at I\/O \u2014\u00a0we used these instruments to deliver I\/O to life, too.<\/p>\nIt\u2019s each an odd and thrilling second to be constructing something. We’re dwelling via an unimaginable shift the place AI instruments are getting higher every month, successfully rewriting the principles of what we are able to create.<\/p>\n
This 12 months, we challenged ourselves to make use of the identical AI we had been placing on stage to out-innovate, out-create and out-efficient ourselves.<\/p>\n
We moved quicker than ever and prototyped in real-time \u2014 mixing human artistry with experimental expertise \u2014 with no higher instance than the “Timmy TPU” movie.<\/p>\n
However the reward is exhibiting how these instruments unlock creativity and offload the mundane duties, giving the crew their finest hours again for the elements they’re uniquely suited to do. When carried out proper, the occasion is wonderful by itself, and, as a viewer, you cease occupied with how AI was used. That shift is the chance we wish to share, as a result of folks maintain asking, \u201cWhat can you actually do with AI?\u201d<\/p>\n
Preserve studying to study which AI instruments we used \u2014 and the way we prompted them \u2014 to assist make I\/O 2026 occur.<\/p>\n
AI x Movie<\/h2>\n\u201cTPU Coaching Day\u201d quick movie<\/h3>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"
Google I\/O 2026 was all about how we\u2019re making AI useful for everybody in new methods. However we didn\u2019t simply make bulletins about our improvements in AI at I\/O \u2014\u00a0we used these instruments to deliver I\/O to life, too. It\u2019s each an odd and thrilling second to be constructing something. We’re dwelling via an unimaginable […]<\/p>\n","protected":false},"author":2,"featured_media":15636,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[55],"tags":[73,295,81,504],"class_list":["post-15634","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-machine-learning","tag-build","tag-gemini","tag-google","tag-products"],"_links":{"self":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/15634","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=15634"}],"version-history":[{"count":1,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/15634\/revisions"}],"predecessor-version":[{"id":15635,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/posts\/15634\/revisions\/15635"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=\/wp\/v2\/media\/15636"}],"wp:attachment":[{"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=15634"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=15634"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/techtrendfeed.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=15634"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}