{"id":6429,"date":"2025-05-17T02:31:40","date_gmt":"2025-05-17T02:31:40","guid":{"rendered":"https:\/\/www.myshirtai.com\/archives\/6429"},"modified":"2025-05-17T02:31:40","modified_gmt":"2025-05-17T02:31:40","slug":"%e8%b0%b7%e6%ad%8cdeepmind-alphaevolve-%e9%9d%a9%e5%91%bd%e6%80%a7ai%e7%bc%96%e7%a0%81%e6%99%ba%e8%83%bd%e4%bd%93%e7%9a%84%e5%b4%9b%e8%b5%b7","status":"publish","type":"post","link":"https:\/\/www.myshirtai.com\/pt\/archives\/6429","title":{"rendered":"Google DeepMind AlphaEvolve: A ascens\u00e3o de uma intelig\u00eancia revolucion\u00e1ria codificada por IA"},"content":{"rendered":"<p>A Google DeepMind lan\u00e7ou recentemente uma tecnologia revolucion\u00e1ria, a AlphaEvolve, uma nova intelig\u00eancia codificada por IA que n\u00e3o s\u00f3 escreve e optimiza automaticamente algoritmos, como tamb\u00e9m faz importantes descobertas cient\u00edficas. Este artigo ir\u00e1 aprofundar o funcionamento desta tecnologia revolucion\u00e1ria, as suas principais carater\u00edsticas e as suas aplica\u00e7\u00f5es pr\u00e1ticas em v\u00e1rios dom\u00ednios.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-alphaevolve-\u81ea\u8fdb\u5316\u7684\u7b97\u6cd5\u53d1\u73b0\u5e73\u53f0\">AlphaEvolve: uma plataforma de descoberta de algoritmos auto-evolutivos<\/h2>\n\n\n\n<p>O posicionamento central da AlphaEvolve \u00e9 uma plataforma universal de descoberta e otimiza\u00e7\u00e3o de algoritmos baseada em grandes modelos de linguagem (LLM), algoritmos evolutivos e avaliadores autom\u00e1ticos. Ao contr\u00e1rio das ferramentas tradicionais de codifica\u00e7\u00e3o de IA, a AlphaEvolve n\u00e3o s\u00f3 gera c\u00f3digo, como tamb\u00e9m avalia automaticamente o desempenho desse c\u00f3digo, ajustando depois a estrat\u00e9gia com base nos resultados da avalia\u00e7\u00e3o e gerando iterativamente melhores solu\u00e7\u00f5es, simulando essencialmente o processo de \"evolu\u00e7\u00e3o algor\u00edtmica natural\".<\/p>\n\n\n\n<p>A diferen\u00e7a fundamental entre o AlphaEvolve e os sistemas de IA anteriores:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Carater\u00edsticas das compet\u00eancias<\/th><th>AlphaCode (2022)<\/th><th>AlphaTensor (2022)<\/th><th>AlphaEvolve (2025)<\/th><\/tr><\/thead><tbody><tr><td>entrada e sa\u00edda<\/td><td>Linguagem natural \u2192 c\u00f3digo do programa<\/td><td>Tarefas estruturadas \u2192 Algoritmo de multiplica\u00e7\u00e3o<\/td><td>Problemas generalizados \u2192 algoritmos verific\u00e1veis<\/td><\/tr><tr><td>l\u00f3gica de implementa\u00e7\u00e3o<\/td><td>Gera\u00e7\u00e3o \u00fanica<\/td><td>Pesquisa de estruturas + ajuste de modelos<\/td><td>Gera\u00e7\u00e3o de LLM + avalia\u00e7\u00e3o autom\u00e1tica + otimiza\u00e7\u00e3o evolutiva<\/td><\/tr><tr><td>Mecanismos de avalia\u00e7\u00e3o<\/td><td>Avalia\u00e7\u00e3o humana ou avalia\u00e7\u00e3o est\u00e1tica<\/td><td>M\u00e9tricas de desempenho do simulador<\/td><td>Funcionamento din\u00e2mico autom\u00e1tico + feedback de classifica\u00e7\u00e3o<\/td><\/tr><tr><td>\u00c2mbito de aplica\u00e7\u00e3o<\/td><td>Temas de concursos de programa\u00e7\u00e3o, etc.<\/td><td>Otimiza\u00e7\u00e3o da multiplica\u00e7\u00e3o de matrizes<\/td><td>Programa\u00e7\u00e3o, algoritmos, matem\u00e1tica, otimiza\u00e7\u00e3o de sistemas<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>O que o torna \u00fanico:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>N\u00e3o \u00e9 necess\u00e1rio que os seres humanos escrevam planos de otimiza\u00e7\u00e3o passo a passo, pode propor autonomamente melhorias, auto-teste e auto-aperfei\u00e7oamento<\/li>\n\n\n\n<li>Capacidade de modificar sec\u00e7\u00f5es inteiras do c\u00f3digo do programa, e n\u00e3o apenas pequenos ajustes de fun\u00e7\u00f5es<\/li>\n\n\n\n<li>Aprender\u00e1 a aplicar estrat\u00e9gias diferentes a problemas diferentes, por exemplo, utilizando algoritmos de pesquisa para problemas complexos e m\u00e9todos construtivos para problemas estruturados<\/li>\n\n\n\n<li>J\u00e1 est\u00e1 a ser utilizado no ambiente de produ\u00e7\u00e3o em grande escala da Google, n\u00e3o \u00e9 apenas uma prova de conceito de laborat\u00f3rio<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-alphaevolve\u7684\u5de5\u4f5c\u673a\u5236\u4e0e\u6280\u672f\u67b6\u6784\">Mecanismo de funcionamento e arquitetura t\u00e9cnica da AlphaEvolve<\/h2>\n\n\n\n<p>O AlphaEvolve \u00e9 um sistema complexo ligado a v\u00e1rios componentes e v\u00e1rias fases que cont\u00e9m os seguintes m\u00f3dulos e fluxos de trabalho principais:<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"https:\/\/school.myshirtai.com\/wp-content\/uploads\/2025\/05\/image-55.png\" alt=\"\" class=\"wp-image-1379\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-\u7cfb\u7edf\u7ec4\u6210\u4e0e\u6d41\u7a0b\">Componentes e processos do sistema<\/h3>\n\n\n\n<p>O fluxo de trabalho geral do AlphaEvolve \u00e9 constru\u00eddo a partir de v\u00e1rios m\u00f3dulos que trabalham em conjunto:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>fase de entrada<\/strong>O utilizador recebe o c\u00f3digo inicial do programa, uma defini\u00e7\u00e3o do problema a otimizar e uma fun\u00e7\u00e3o de avalia\u00e7\u00e3o autom\u00e1tica (para medir o desempenho do c\u00f3digo, a corre\u00e7\u00e3o dos resultados, etc.).<\/li>\n\n\n\n<li><strong>Composi\u00e7\u00e3o do m\u00f3dulo principal<\/strong>::\n<ul class=\"wp-block-list\">\n<li><strong>Amostra de prompts<\/strong>Combine solu\u00e7\u00f5es historicamente excelentes com o contexto do problema para criar avisos complexos que suportem conhecimentos de base, f\u00f3rmulas e fragmentos de c\u00f3digo fornecidos por humanos.<\/li>\n\n\n\n<li><strong>Integra\u00e7\u00e3o LLM (LLM Ensemble)<\/strong>Utilize o Gemini Flash para gerar rapidamente um grande n\u00famero de candidatos e o Gemini Pro para otimizar profundamente as principais recomenda\u00e7\u00f5es e conduzir o processo de \"evolu\u00e7\u00e3o\" de forma colaborativa.<\/li>\n\n\n\n<li><strong>Avaliadores autom\u00e1ticos (Avaliadores)<\/strong>Executa e avalia automaticamente o desempenho de cada programa, suportando a otimiza\u00e7\u00e3o multi-m\u00e9trica, a avalia\u00e7\u00e3o em cascata e a execu\u00e7\u00e3o distribu\u00edda paralela.<\/li>\n\n\n\n<li><strong>Base de dados do programa<\/strong>Memoriza\u00e7\u00e3o de programas hist\u00f3ricos, pontua\u00e7\u00f5es de avalia\u00e7\u00e3o e modifica\u00e7\u00f5es para construir uma nova gera\u00e7\u00e3o de Prompts, permitindo uma evolu\u00e7\u00e3o semelhante \u00e0 \"mem\u00f3ria gen\u00e9tica\".<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><strong>ciclo evolutivo<\/strong>::\n<ul class=\"wp-block-list\">\n<li>Selecionar um \"programa-m\u00e3e\" da base de dados e extrair a sua estrutura \u00f3ptima.<\/li>\n\n\n\n<li>Criar a tarefa e o contexto actuais atrav\u00e9s de Prompt<\/li>\n\n\n\n<li>LLM gera um novo c\u00f3digo diff (diff)<\/li>\n\n\n\n<li>Aplica\u00e7\u00e3o de diferen\u00e7as para formar \"sub-rotinas\"<\/li>\n\n\n\n<li>O avaliador executa e pontua<\/li>\n\n\n\n<li>Se o programa filho tiver um desempenho superior ao do programa pai, \u00e9 adicionado \u00e0 base de dados e passa para a ronda seguinte de evolu\u00e7\u00e3o<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n\n\n\n<p>Este processo evolui n\u00e3o s\u00f3 o pr\u00f3prio c\u00f3digo, mas tamb\u00e9m o PROMPT e as m\u00e9tricas de avalia\u00e7\u00e3o, permitindo uma otimiza\u00e7\u00e3o da pesquisa altamente adapt\u00e1vel.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-\u7a81\u7834\u6570\u5b66\u6781\u9650-alphaevolve\u7684\u79d1\u5b66\u6210\u5c31\">Ultrapassar os limites da matem\u00e1tica: as realiza\u00e7\u00f5es cient\u00edficas da AlphaEvolve<\/h2>\n\n\n\n<p>A AlphaEvolve fez v\u00e1rios avan\u00e7os no dom\u00ednio da descoberta matem\u00e1tica e algor\u00edtmica, resolvendo uma s\u00e9rie de problemas em aberto h\u00e1 muito tempo:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-\u77e9\u9635\u4e58\u6cd5\u7b97\u6cd5\u9769\u65b0\">Inova\u00e7\u00e3o do algoritmo de multiplica\u00e7\u00e3o de matrizes<\/h3>\n\n\n\n<p>Uma das realiza\u00e7\u00f5es mais not\u00e1veis da AlphaEvolve foi a descoberta de um algoritmo mais eficiente para multiplicar matrizes complexas 4\u00d74 do que o algoritmo de Strassen de 1969, que era anteriormente considerado a solu\u00e7\u00e3o \u00f3ptima no dom\u00ednio, exigindo 49 multiplica\u00e7\u00f5es, que a AlphaEvolve reduziu para 48, batendo um recorde que n\u00e3o era melhorado h\u00e1 56 anos.<\/p>\n\n\n\n<figure class=\"wp-block-video\"><video controls src=\"https:\/\/school.myshirtai.com\/wp-content\/uploads\/2025\/05\/\u77e9\u9635\u4e58\u6cd5\u65b0\u7b97\u6cd5.mp4\"><\/video><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-300\u5e74\u51e0\u4f55\u96be\u9898\u53d6\u5f97\u8fdb\u5c55\">Progressos no puzzle de 300 anos de geometria<\/h3>\n\n\n\n<p>A AlphaEvolve tamb\u00e9m fez um grande avan\u00e7o no famoso Problema do N\u00famero do Beijo. Este problema explora quantas esferas unit\u00e1rias no espa\u00e7o n-dimensional podem ser tangentes a uma esfera unit\u00e1ria central sem se intersectarem ao mesmo tempo. Em 11 dimens\u00f5es, o AlphaEvolve encontrou uma estrutura que consiste em 593 esferas externas, aumentando o limite inferior anterior de 592 e aproximando-se do limite superior conhecido de 868.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"https:\/\/school.myshirtai.com\/wp-content\/uploads\/2025\/05\/image-58.png\" alt=\"\" class=\"wp-image-1382\" \/><\/figure>\n\n\n\n<p>Al\u00e9m disso, registaram-se avan\u00e7os em problemas em aberto em v\u00e1rios dom\u00ednios da matem\u00e1tica:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>O dom\u00ednio da an\u00e1lise<\/strong>Melhoria dos limites \u00f3ptimos conhecidos para v\u00e1rios problemas de desigualdade de autocorrela\u00e7\u00e3o; melhoria ligeira dos limites superiores atrav\u00e9s da otimiza\u00e7\u00e3o da constru\u00e7\u00e3o do princ\u00edpio da incerteza na an\u00e1lise de Fourier.<\/li>\n\n\n\n<li><strong>Matem\u00e1tica Combinat\u00f3ria e Teoria dos N\u00fameros<\/strong>: \u00c9 estabelecido um novo limite superior para o problema da sobreposi\u00e7\u00e3o m\u00ednima de Erd\u0151s, ultrapassando o anterior recorde.<\/li>\n\n\n\n<li><strong>Problemas de geometria e empilhamento<\/strong>O objetivo \u00e9 otimizar a rela\u00e7\u00e3o entre a dist\u00e2ncia m\u00e1xima e m\u00ednima e o preenchimento \u00f3timo de pol\u00edgonos aninhados.<\/li>\n<\/ul>\n\n\n\n<p>Dos mais de 50 problemas abertos de matem\u00e1tica testados pela equipa DeepMind, o AlphaEvolve redescobriu solu\u00e7\u00f5es de ponta em cerca de 751 TP3T de problemas e melhorou as solu\u00e7\u00f5es mais conhecidas em 201 TP3T de problemas.<\/p>\n\n\n\n<p>Vale a pena mencionar que o medalhista Fields Tao Zhexuan tamb\u00e9m esteve diretamente envolvido na explora\u00e7\u00e3o das aplica\u00e7\u00f5es matem\u00e1ticas do AlphaEvolve.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"https:\/\/school.myshirtai.com\/wp-content\/uploads\/2025\/05\/image-57.png\" alt=\"\" class=\"wp-image-1381\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"https:\/\/school.myshirtai.com\/wp-content\/uploads\/2025\/05\/\u5fae\u4fe1\u56fe\u7247_2025-05-17_101945_542.png\" alt=\"\" class=\"wp-image-1384\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-\u63d0\u5347google\u751f\u6001\u6548\u7387-\u5b9e\u9645\u5e94\u7528\u4e0e\u6210\u679c\">Melhorar a ecoefici\u00eancia do Google: aplica\u00e7\u00f5es pr\u00e1ticas e resultados<\/h2>\n\n\n\n<p>A AlphaEvolve passou da investiga\u00e7\u00e3o te\u00f3rica para a aplica\u00e7\u00e3o pr\u00e1tica, produzindo ganhos de efici\u00eancia significativos em v\u00e1rios sistemas-chave da Google:<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-\u6570\u636e\u4e2d\u5fc3\u4f18\u5316\">Otimiza\u00e7\u00e3o do centro de dados<\/h3>\n\n\n\n<p>Um algoritmo heur\u00edstico de agendamento para o sistema de gest\u00e3o de clusters Borg da Google est\u00e1 a ser utilizado em produ\u00e7\u00e3o h\u00e1 mais de um ano, recuperando de forma consistente cerca de 0,7% de recursos de computa\u00e7\u00e3o. O algoritmo resolve o problema do \"recurso encalhado\" (por exemplo, ficar sem mem\u00f3ria mas com a CPU ainda dispon\u00edvel) e gera um c\u00f3digo simples e leg\u00edvel que \u00e9 f\u00e1cil de depurar e implementar pelos engenheiros.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"https:\/\/school.myshirtai.com\/wp-content\/uploads\/2025\/05\/image-59.png\" alt=\"\" class=\"wp-image-1383\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-ai\u82af\u7247\u8bbe\u8ba1\u534f\u540c\">Sinergia na conce\u00e7\u00e3o de chips de IA<\/h3>\n\n\n\n<p>O AlphaEvolve fornece uma solu\u00e7\u00e3o de reescrita ao n\u00edvel de Verilog para circuitos de multiplica\u00e7\u00e3o de matrizes em TPUs da Google, removendo bits redundantes e mantendo a corre\u00e7\u00e3o funcional. Esta proposta foi adoptada no fluxo de design para a futura gera\u00e7\u00e3o de chips e espera-se que resulte em poupan\u00e7as significativas na \u00e1rea do chip e no consumo de energia.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" src=\"https:\/\/school.myshirtai.com\/wp-content\/uploads\/2025\/05\/image-56.png\" alt=\"\" class=\"wp-image-1380\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-ai\u6a21\u578b\u8bad\u7ec3\u52a0\u901f\">Acelera\u00e7\u00e3o do treino de modelos de IA<\/h3>\n\n\n\n<p>Em termos de forma\u00e7\u00e3o de IA, a AlphaEvolve tamb\u00e9m demonstrou capacidades de otimiza\u00e7\u00e3o surpreendentes:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Kernel de multiplica\u00e7\u00e3o de matrizes optimizado no treino do modelo Gemini, acelerando 231 TP3T e reduzindo o tempo total de treino em 11 TP3T<\/li>\n\n\n\n<li>Refac\u00e7\u00e3o de instru\u00e7\u00f5es GPU de baixo n\u00edvel no n\u00facleo FlashAttention para um aumento de velocidade de 32,5%<\/li>\n<\/ul>\n\n\n\n<p>Estas optimiza\u00e7\u00f5es n\u00e3o s\u00f3 melhoram o desempenho, como tamb\u00e9m reduzem drasticamente o tempo de engenharia necess\u00e1rio para a otimiza\u00e7\u00e3o do kernel, de semanas de trabalho especializado para dias de experi\u00eancias automatizadas, permitindo aos investigadores inovar mais rapidamente.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-alphaevolve\u7684\u672a\u6765\u5c55\u671b\u4e0e\u5f71\u54cd\">Perspectivas futuras e implica\u00e7\u00f5es da AlphaEvolve<\/h2>\n\n\n\n<p>Como plataforma de descoberta e otimiza\u00e7\u00e3o de algoritmos para fins gerais, a promessa de aplica\u00e7\u00e3o da AlphaEvolve vai muito al\u00e9m do que foi alcan\u00e7ado at\u00e9 agora. Representa um novo paradigma para a descoberta cient\u00edfica assistida por IA e a conce\u00e7\u00e3o de algoritmos, e espera-se que tenha um impacto de grande alcance em muitos outros dom\u00ednios no futuro:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li><strong>Expans\u00e3o para dom\u00ednios cient\u00edficos mais vastos<\/strong>O termo \"algoritmo\" \u00e9 usado principalmente em matem\u00e1tica e ci\u00eancias da computa\u00e7\u00e3o, mas a sua generalidade significa que pode ser aplicado a qualquer solu\u00e7\u00e3o para um problema que possa ser descrito como um algoritmo e verificado automaticamente, incluindo a ci\u00eancia dos materiais, a descoberta de medicamentos, etc.<\/li>\n\n\n\n<li><strong>Um novo modelo de colabora\u00e7\u00e3o entre a IA e os especialistas humanos<\/strong>AlphaEvolve oferece um novo modelo de colabora\u00e7\u00e3o entre a IA e os especialistas, em que a IA \u00e9 respons\u00e1vel pela explora\u00e7\u00e3o de um grande n\u00famero de possibilidades e pela apresenta\u00e7\u00e3o de solu\u00e7\u00f5es inovadoras, e os especialistas humanos s\u00e3o respons\u00e1veis pela valida\u00e7\u00e3o e compreens\u00e3o dessas solu\u00e7\u00f5es.<\/li>\n\n\n\n<li><strong>Democratiza\u00e7\u00e3o da otimiza\u00e7\u00e3o algor\u00edtmica<\/strong>\u00c0 medida que estas t\u00e9cnicas evoluem, a otimiza\u00e7\u00e3o algor\u00edtmica avan\u00e7ada pode deixar de estar limitada a alguns especialistas e mais programadores e investigadores poder\u00e3o utilizar estas ferramentas para melhorar a efici\u00eancia do seu trabalho.<\/li>\n\n\n\n<li><strong>Potenciais impactos econ\u00f3micos e ambientais<\/strong>As aplica\u00e7\u00f5es s\u00f3 no centro de dados da Google mostraram uma taxa de recupera\u00e7\u00e3o de recursos de 0,71 TP3T e, se esta tecnologia for amplamente adoptada, poupar\u00e1 muita energia e recursos nos centros de dados de todo o mundo.<\/li>\n<\/ol>\n\n\n\n<p>A AlphaEvolve est\u00e1 agora aberta a convites para testes iniciais, n\u00e3o apenas limitados ao meio acad\u00e9mico, mas abertos a candidaturas de utilizadores de todas as ind\u00fastrias que desejem explorar o campo da otimiza\u00e7\u00e3o algor\u00edtmica, anunciando o seu papel numa gama mais vasta de cen\u00e1rios de aplica\u00e7\u00e3o.<\/p>\n\n\n\n<p>Este facto assinala um novo marco na ci\u00eancia inform\u00e1tica - os sistemas de IA j\u00e1 n\u00e3o s\u00e3o apenas ferramentas a programar por programadores humanos, mas parceiros capazes de descobrir e melhorar algoritmos por si pr\u00f3prios, uma mudan\u00e7a que pode desencadear uma revolu\u00e7\u00e3o na programa\u00e7\u00e3o, tal como o AlphaGo fez com o Go.<\/p>\n\n\n\n<table style=\"width: 100%;border-collapse: collapse;border: 1px solid #ddd\">\r\n<thead>\r\n<tr style=\"height: 48px;background-color: #f5f5f5\">\r\n<th style=\"width: 50%;height: 48px;border: 1px solid #ddd;padding: 8px\">\r\n<h4 style=\"margin: 0\">Para mais produtos, consultar<\/h4>\r\n<\/th>\r\n<th style=\"width: 50%;height: 48px;border: 1px solid #ddd;padding: 8px\">\r\n<h4 style=\"margin: 0\">Ver mais em<\/h4>\r\n<\/th>\r\n<\/tr>\r\n<\/thead>\r\n<tbody>\r\n<tr style=\"height: 63px\">\r\n<td style=\"width: 50%;height: 63px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/www.myshirtai.com\/pt\/\" data-linktype=\"2\">ShirtAI - Intelig\u00eancia penetrante<\/a><\/td>\r\n<td style=\"width: 50%;height: 63px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/www.myshirtai.com\/pt\/archives\/4425\/\" data-linktype=\"2\">O Grande Modelo do AIGC: inaugurando uma era de dupla revolu\u00e7\u00e3o na engenharia e na ci\u00eancia - Penetrating Intelligence<\/a><\/td>\r\n<\/tr>\r\n<tr style=\"height: 61px\">\r\n<td style=\"width: 50%;height: 61px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/www.myshirtai.com\/pt\/\" data-linktype=\"2\">1:1 Restaura\u00e7\u00e3o de Claude e GPT Site oficial - AI Cloud Native<\/a><\/td>\r\n<td style=\"width: 50%;height: 61px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/www.bluelsqkj.com\/archives\/2876\" data-linktype=\"2\">Aplica\u00e7\u00e3o de jogos em direto Leitor de visualiza\u00e7\u00e3o de desporto HD global (recomendado) - Blueshirt Technology<\/a><\/td>\r\n<\/tr>\r\n<tr style=\"height: 54px\">\r\n<td style=\"width: 50%;height: 54px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/api.mygptmeta.com\/\" data-linktype=\"2\">Servi\u00e7o de tr\u00e2nsito baseado na API oficial - API GPTMeta<\/a><\/td>\r\n<td style=\"width: 50%;height: 54px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/www.zhihu.com\/question\/621055223\/answer\/3633615705\" data-linktype=\"2\">Ajuda, algu\u00e9m pode dar algumas dicas sobre como fazer perguntas no GPT? - Conhecimento<\/a><\/td>\r\n<\/tr>\r\n<tr style=\"height: 70px\">\r\n<td style=\"width: 50%;height: 70px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/shop.blueshirtmap.com\/\" data-linktype=\"2\">Loja digital de bens virtuais globais - Global SmarTone (Feng Ling Ge)<\/a><\/td>\r\n<td style=\"width: 50%;height: 70px;border: 1px solid #ddd;padding: 8px\"><a href=\"https:\/\/www.bilibili.com\/video\/BV1efpneYE54\/?spm_id_from=333.1387.homepage.video_card.click\" data-linktype=\"2\">Qu\u00e3o poderosa \u00e9 a funcionalidade Claude airtfacts que o GPT instantaneamente n\u00e3o cheira bem? -BeepBeep<\/a><\/td>\r\n<\/tr>\r\n<\/tbody>\r\n<\/table>","protected":false},"excerpt":{"rendered":"<p>A Google DeepMind lan\u00e7ou o AlphaEvolve, uma intelig\u00eancia de codifica\u00e7\u00e3o de IA capaz de escrever e otimizar c\u00f3digo e de fazer descobertas cient\u00edficas por si pr\u00f3pria. O sistema, que incorpora grandes modelos de linguagem, algoritmos evolutivos e avaliadores autom\u00e1ticos, j\u00e1 fez v\u00e1rias descobertas no dom\u00ednio da matem\u00e1tica, como a melhoria dos algoritmos de multiplica\u00e7\u00e3o de matrizes e a resolu\u00e7\u00e3o de puzzles geom\u00e9tricos. Entretanto, conseguiu ganhos de efici\u00eancia significativos na otimiza\u00e7\u00e3o dos centros de dados da Google, na conce\u00e7\u00e3o de chips e na forma\u00e7\u00e3o em IA, assinalando um novo marco na transforma\u00e7\u00e3o da IA de uma ferramenta para um parceiro de inova\u00e7\u00e3o algor\u00edtmica.<\/p>","protected":false},"author":1,"featured_media":6428,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[53],"tags":[83,68],"class_list":["post-6429","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-ai-algorithm","tag-deep-learning"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.3 (Yoast SEO v25.2) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u8c37\u6b4cDeepMind AlphaEvolve: \u9769\u547d\u6027AI\u7f16\u7801\u667a\u80fd\u4f53\u7684\u5d1b\u8d77 - \u6e17\u900f\u667a\u80fd<\/title>\n<meta name=\"description\" content=\"Google 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