{"id":669362,"date":"2025-05-15T14:20:35","date_gmt":"2025-05-15T11:20:35","guid":{"rendered":"https:\/\/en.buradabiliyorum.com\/5-impressive-feats-of-deepminds-new-self-evolving-ai-coding-agent\/"},"modified":"2025-05-15T14:20:35","modified_gmt":"2025-05-15T11:20:35","slug":"5-impressive-feats-of-deepminds-new-self-evolving-ai-coding-agent","status":"publish","type":"post","link":"https:\/\/buradabiliyorum.com\/en\/5-impressive-feats-of-deepminds-new-self-evolving-ai-coding-agent\/","title":{"rendered":"5 impressive feats of DeepMind\u2019s new self-evolving AI coding agent"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-6a358aed885b3\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #dd3333;color:#dd3333\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #dd3333;color:#dd3333\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a358aed885b3\" checked aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/buradabiliyorum.com\/en\/5-impressive-feats-of-deepminds-new-self-evolving-ai-coding-agent\/#1_It_discovered_new_solutions_to_some_of_the_worlds_toughest_maths_problems\" >1. It discovered new solutions to some of the world\u2019s toughest maths problems<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/buradabiliyorum.com\/en\/5-impressive-feats-of-deepminds-new-self-evolving-ai-coding-agent\/#2_It_made_Googles_data_centres_more_efficient\" >2. It made Google\u2019s data centres more efficient<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/buradabiliyorum.com\/en\/5-impressive-feats-of-deepminds-new-self-evolving-ai-coding-agent\/#3_It_helped_train_Gemini_faster\" >3. It helped train Gemini faster<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/buradabiliyorum.com\/en\/5-impressive-feats-of-deepminds-new-self-evolving-ai-coding-agent\/#4_It_co-designed_part_of_Googles_next_AI_chip\" >4. It co-designed part of Google\u2019s next AI chip<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/buradabiliyorum.com\/en\/5-impressive-feats-of-deepminds-new-self-evolving-ai-coding-agent\/#5_It_beat_a_legendary_algorithm_from_1969\" >5. It beat a legendary algorithm from 1969<\/a><\/li><\/ul><\/nav><\/div>\n<div id=\"article-main-content\">\n<p><span style=\"font-weight: 400;\">Google DeepMind\u2019s AI systems have taken big scientific strides in recent years \u2014 from <\/span><span style=\"font-weight: 400;\">predicting the 3D structures of almost every <\/span><span style=\"font-weight: 400;\">known protein<\/span> <span style=\"font-weight: 400;\">in the universe to <\/span><span style=\"font-weight: 400;\">forecasting weather<\/span><span style=\"font-weight: 400;\"> more accurately than ever before.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The UK-based lab today unveiled its latest advancement: AlphaEvolve, an AI coding agent that makes large language models (LLMs) like Gemini better at solving complex computing and mathematical problems.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">AlphaEvolve is powered by the same models that it\u2019s trying to improve. Using Gemini, the agent proposes programs \u2014 written in code \u2014 that try to solve a given problem. It runs each code snippet through automated tests that evaluate how accurate, efficient, or novel it is. AlphaEvolve keeps the top-performing code snippets and uses them as the basis for the next round of generation. Over many cycles, this process \u201cevolves\u201d better and better solutions. In essence, it is a self-evolving AI.\u00a0\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">DeepMind has already used AlphaEvolve to tackle data centre energy use, design better chips, and speed up AI training. Here are five of its top feats so far.\u00a0<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"1_It_discovered_new_solutions_to_some_of_the_worlds_toughest_maths_problems\"><\/span><b>1. It discovered new solutions to some of the world\u2019s toughest maths problems<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div class=\"inarticle-wrapper latest channel-cta hs-embed-tnw\">\n<div id=\"hs-embed-tnw\" class=\"channel-cta-wrapper\">\n<div class=\"channel-cta-img\"><img decoding=\"async\" class=\"js-lazy\" src=\"https:\/\/s3.eu-west-1.amazonaws.com\/tnw.events\/hardfork-2018\/uploads\/visuals\/tnw-newsletter.png\"\/><\/div>\n<p><img decoding=\"async\" src=\"https:\/\/s3.eu-west-1.amazonaws.com\/tnw.events\/hardfork-2018\/uploads\/visuals\/tnw-newsletter.png\"\/><\/p>\n<div class=\"channel-cta-input\">\n<p class=\"channel-cta-title\">The \ud83d\udc9c of EU tech<\/p>\n<p class=\"channel-cta-tagline\">The latest rumblings from the EU tech scene, a story from our wise ol&#8217; founder Boris, and some questionable AI art. It&#8217;s free, every week, in your inbox. Sign up now!<\/p>\n<\/div>\n<\/div>\n<\/div>\n<p><span style=\"font-weight: 400;\">AlphaEvolve was put to the test on over 50 open problems in maths, from combinatorics to number theory. In 20% of cases, it improved on the best-known solutions to them.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">One of those was the 300-year-old <\/span><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/en.wikipedia.org\/wiki\/Kissing_number\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">kissing number problem<\/span><\/a><span style=\"font-weight: 400;\">. In 11-dimensional space, AlphaEvolve discovered a new lower bound with a configuration of 593 spheres \u2014 progress that even expert mathematicians hadn\u2019t reached.\u00a0<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"2_It_made_Googles_data_centres_more_efficient\"><\/span><b>2. It made Google\u2019s data centres more efficient<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">The AI agent devised a way to better manage power scheduling at Google\u2019s data centres. That has allowed the tech giant to improve its data centre energy efficiency by 0.7% over the last year \u2014 a significant cost and energy saver given the size of its data centre operation.\u00a0<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"3_It_helped_train_Gemini_faster\"><\/span><b>3. It helped train Gemini faster<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">AlphaEvolve improved the way matrix multiplications are split into subproblems, a core operation in training AI models like Gemini. That optimisation sped up the process by 23%, reducing Gemini\u2019s total training time by 1%. In the world of generative AI, every percentage point can translate into cost and energy savings.\u00a0<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"4_It_co-designed_part_of_Googles_next_AI_chip\"><\/span><b>4. It co-designed part of Google\u2019s next AI chip<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">The agent is also using its code-writing skills to rewire things in the physical world. It rewrote a portion of an arithmetic circuit in Verilog \u2014 a language used for chip design \u2014 making it more efficient. That same logic is now being used to develop Google\u2019s future TPU (Tensor Processing Unit), an advanced chip for machine learning.\u00a0\u00a0<\/span><\/p>\n<h3><span class=\"ez-toc-section\" id=\"5_It_beat_a_legendary_algorithm_from_1969\"><\/span><b>5. It beat a legendary algorithm from 1969<\/b><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<p><span style=\"font-weight: 400;\">For decades, Strassen\u2019s algorithm was the gold standard for multiplying 4\u00d74 complex matrices. AlphaEvolve found a more efficient solution \u2014 using fewer scalar multiplications. This could lead to more advanced LLMs, which <\/span><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/arstechnica.com\/information-technology\/2024\/03\/matrix-multiplication-breakthrough-could-lead-to-faster-more-efficient-ai-models\/\" target=\"_blank\" rel=\"nofollow noopener\"><span style=\"font-weight: 400;\">rely heavily<\/span><\/a><span style=\"font-weight: 400;\"> on matrix multiplication to function.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">According to DeepMind, these feats are just the tip of the iceberg for AlphaEvolve. The lab envisions the agent solving countless problems, from discovering new materials and drugs to streamlining business operations.<\/span><\/p>\n<p><em>AI\u2019s <span style=\"color: #1b1b1b;\">evolution<\/span>\u00a0will be a hot topic at<span>\u00a0<\/span><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/bit.ly\/41IbD3D\" target=\"_blank\" rel=\"nofollow noopener\" data-gtm-vis-first-on-screen934287_1021=\"275\" data-gtm-vis-total-visible-time934287_1021=\"100\" data-gtm-vis-has-fired934287_1021=\"1\">TNW Conference<\/a>, which takes place on June 19-20 in Amsterdam. Tickets for the event are<span>\u00a0<\/span><a rel=\"nofollow\" target=\"_blank\" href=\"https:\/\/bit.ly\/4hueZwX\" target=\"_blank\" rel=\"nofollow noopener\" data-gtm-vis-first-on-screen934287_1021=\"276\" data-gtm-vis-total-visible-time934287_1021=\"100\" data-gtm-vis-has-fired934287_1021=\"1\">now on sale<\/a> \u2014 use the code TNWX<a href=\"https:\/\/buradabiliyorum.com\/en\/category\/social-mediaa\/\" data-internallinksmanager029f6b8e52c=\"1\" title=\"Social Media\" target=\"_blank\" rel=\"noopener\">MEDIA<\/a>2025 at the checkout to get 30% off.<\/em><\/p>\n<\/p><\/div>\n<blockquote><p><strong><span style=\"color: #ff6600;\">If you liked the article, do not forget to share it with your friends. Follow us on\u00a0<span style=\"color: #ff0000;\"><a style=\"color: #ff0000;\" href=\"https:\/\/news.google.com\/publications\/CAAqBwgKMN63nwsw68G3Aw\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Google News<\/a><\/span>\u00a0too, click on the star and choose us from your favorites.<\/span><\/strong><\/p><\/blockquote>\n<blockquote>\n<p style=\"text-align: center;\"><strong>If you want to read more like this article, you can visit our <span style=\"color: #ff9900;\"><a style=\"color: #ff9900;\" href=\"https:\/\/en.buradabiliyorum.com\/category\/technology\/\" target=\"_blank\" >Technology category.<\/a><\/span><\/strong><\/p>\n<\/blockquote>\n<p><span style=\"color: black;\"><a style=\"color: #ff9900;\" href=\"https:\/\/thenextweb.com\/news\/5-feats-of-deepmind-ai-coding-agent-alphaevolve\" target=\"_blank\" >Source<\/a><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Google DeepMind\u2019s AI systems have taken big scientific strides in recent years \u2014 from predicting the 3D structures of almost every known protein in the universe to forecasting weather more accurately than ever before.\u00a0 The UK-based lab today unveiled its latest advancement: AlphaEvolve, an AI coding agent that makes large language models (LLMs) like Gemini&#8230;<\/p>\n","protected":false},"author":1,"featured_media":669363,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"fifu_image_url":"https:\/\/img-cdn.tnwcdn.com\/image\/tnw-blurple?filter_last=1&fit=1280%2C640&url=https%3A%2F%2Fcdn0.tnwcdn.com%2Fwp-content%2Fblogs.dir%2F1%2Ffiles%2F2025%2F05%2FAlphaEvolve-Ai-deepmind.jpg&signature=d1620af49bb241cb716b482d444a51bd","fifu_image_alt":"","footnotes":""},"categories":[18],"tags":[],"class_list":["post-669362","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology"],"_links":{"self":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/669362","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/comments?post=669362"}],"version-history":[{"count":0,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/posts\/669362\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media\/669363"}],"wp:attachment":[{"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/media?parent=669362"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/categories?post=669362"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/buradabiliyorum.com\/en\/wp-json\/wp\/v2\/tags?post=669362"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}