https://aiexpert.news/en/article/building-autonomous-sre-agents-in-kubernetes-tool-design-for-cluster-level-contr ai|expert en 2026-08-05T17:15:56.941Z LangChain's SRE Agent Cuts Monitoring Cost 95% With Scheduler Bypass https://aiexpert.news/pt/article/building-autonomous-sre-agents-in-kubernetes-tool-design-for-cluster-level-contr ai|expert pt-BR 2026-08-05T17:15:56.941Z O Agente SRE da LangChain Reduz Custo de Monitoramento em 95% com Scheduler Bypass https://aiexpert.news/es/article/building-autonomous-sre-agents-in-kubernetes-tool-design-for-cluster-level-contr ai|expert es 2026-08-05T17:15:56.941Z El Agente SRE de LangChain Reduce el Costo de Monitoreo en un 95% con Scheduler Bypass https://aiexpert.news/en/article/cloudflares-agent-access-model-rethinks-infrastructure-auth-for-ai ai|expert en 2026-08-05T13:18:09.734Z Cloudflare Moves Agent Auth to Task Lifecycle, Not Service Accounts https://aiexpert.news/pt/article/cloudflares-agent-access-model-rethinks-infrastructure-auth-for-ai ai|expert pt-BR 2026-08-05T13:18:09.734Z Cloudflare Move Autenticação de Agentes para Ciclo de Vida da Tarefa, Não para Contas de Serviço https://aiexpert.news/es/article/cloudflares-agent-access-model-rethinks-infrastructure-auth-for-ai ai|expert es 2026-08-05T13:18:09.734Z Cloudflare Mueve la Autenticación de Agentes al Ciclo de Vida de la Tarea, No a Cuentas de Servicio https://aiexpert.news/en/article/benchmarking-without-memorization-societybench-runs-agent-eval-as-live-forecasti ai|expert en 2026-08-05T11:48:09.379Z SocietyBench Counterfactual Events Expose Model Blindspots https://aiexpert.news/pt/article/benchmarking-without-memorization-societybench-runs-agent-eval-as-live-forecasti ai|expert pt-BR 2026-08-05T11:48:09.379Z SocietyBench Eventos Contrafactuais Expõem Pontos Cegos de Modelos https://aiexpert.news/es/article/benchmarking-without-memorization-societybench-runs-agent-eval-as-live-forecasti ai|expert es 2026-08-05T11:48:09.379Z SocietyBench Eventos Contrafácticos Exponen Puntos Ciegos de Modelos https://aiexpert.news/en/article/reflectrl-extracting-training-signals-from-failed-agent-trajectories ai|expert en 2026-08-05T11:00:57.207Z ReflectRL Recovers Reasoning Gains from Failed Expert Rollouts https://aiexpert.news/pt/article/reflectrl-extracting-training-signals-from-failed-agent-trajectories ai|expert pt-BR 2026-08-05T11:00:57.207Z ReflectRL Recupera Ganhos de Raciocínio de Rollouts Falhados de Especialista https://aiexpert.news/es/article/reflectrl-extracting-training-signals-from-failed-agent-trajectories ai|expert es 2026-08-05T11:00:57.207Z ReflectRL Recupera Ganancias de Razonamiento de Rollouts Fallidos de Experto https://aiexpert.news/en/article/megakernels-are-dead-and-back-cuda-kernel-fusion-trends-for-inference-optimizati ai|expert en 2026-08-05T09:31:08.677Z Cursor's Megakernel Improves GPU Training Throughput 1.41x on Blackwell Racks https://aiexpert.news/pt/article/megakernels-are-dead-and-back-cuda-kernel-fusion-trends-for-inference-optimizati ai|expert pt-BR 2026-08-05T09:31:08.677Z Megakernel da Cursor Melhora Throughput de Treinamento de GPU em 1.41x em Racks Blackwell https://aiexpert.news/es/article/megakernels-are-dead-and-back-cuda-kernel-fusion-trends-for-inference-optimizati ai|expert es 2026-08-05T09:31:08.677Z El Megakernel de Cursor Mejora el Throughput de Entrenamiento de GPU en 1.41x en Racks Blackwell https://aiexpert.news/en/article/ponytail-agent-skill-corrects-its-own-benchmark-after-contributor-challenge ai|expert en 2026-08-05T09:00:58.310Z Ponytail Cuts Code 54%, but Independent Tests Show 15% https://aiexpert.news/pt/article/ponytail-agent-skill-corrects-its-own-benchmark-after-contributor-challenge ai|expert pt-BR 2026-08-05T09:00:58.310Z Ponytail Reduz Código em 54%, mas Testes Independentes Mostram 15% https://aiexpert.news/es/article/ponytail-agent-skill-corrects-its-own-benchmark-after-contributor-challenge ai|expert es 2026-08-05T09:00:58.310Z Ponytail Reduce Código 54%, pero Pruebas Independientes Muestran 15% https://aiexpert.news/en/article/test-time-scaling-regimes-conflated-evaluation-gaps-in-reasoning-llm-inference ai|expert en 2026-08-05T07:45:56.882Z Test-time scaling regimes require distinct evaluation profiles https://aiexpert.news/pt/article/test-time-scaling-regimes-conflated-evaluation-gaps-in-reasoning-llm-inference ai|expert pt-BR 2026-08-05T07:45:56.882Z Regimes de scaling em tempo de inferência exigem perfis de avaliação distintos https://aiexpert.news/es/article/test-time-scaling-regimes-conflated-evaluation-gaps-in-reasoning-llm-inference ai|expert es 2026-08-05T07:45:56.882Z Los regímenes de escalado en tiempo de inferencia requieren perfiles de evaluación distintos https://aiexpert.news/en/article/alibi-positional-encodings-fail-silently-in-precisionattention-heads-go-blind ai|expert en 2026-08-05T05:00:59.447Z ALiBi Models Lose Positional Awareness in Long-Context Inference https://aiexpert.news/pt/article/alibi-positional-encodings-fail-silently-in-precisionattention-heads-go-blind ai|expert pt-BR 2026-08-05T05:00:59.447Z Modelos ALiBi Perdem Conhecimento Posicional em Inferência de Contexto Longo https://aiexpert.news/es/article/alibi-positional-encodings-fail-silently-in-precisionattention-heads-go-blind ai|expert es 2026-08-05T05:00:59.447Z Los Modelos ALiBi Pierden Conocimiento Posicional en Inferencia de Contexto Largo https://aiexpert.news/en/article/agenticeco-ai-agents-for-3d-ic-post-route-engineering-changes-at-scale ai|expert en 2026-08-05T04:28:09.311Z AgenticECO closes 3D chip defects at 3.5× repair rate https://aiexpert.news/pt/article/agenticeco-ai-agents-for-3d-ic-post-route-engineering-changes-at-scale ai|expert pt-BR 2026-08-05T04:28:09.311Z AgenticECO fecha defeitos em chips 3D com taxa de reparo 3.5× https://aiexpert.news/es/article/agenticeco-ai-agents-for-3d-ic-post-route-engineering-changes-at-scale ai|expert es 2026-08-05T04:28:09.311Z AgenticECO cierra defectos de chips 3D a tasa de reparación 3.5× https://aiexpert.news/en/article/llms-testing-tuis-headless-benchmark-for-developer-agent-tooling ai|expert en 2026-08-05T03:56:09.416Z Launch Inputs Matter More Than Model Choice for TUI Testing https://aiexpert.news/pt/article/llms-testing-tuis-headless-benchmark-for-developer-agent-tooling ai|expert pt-BR 2026-08-05T03:56:09.416Z Entradas de Lançamento Importam Mais do Que a Escolha do Modelo para Testes de TUI https://aiexpert.news/es/article/llms-testing-tuis-headless-benchmark-for-developer-agent-tooling ai|expert es 2026-08-05T03:56:09.416Z Las Entradas de Lanzamiento Importan Más Que la Elección del Modelo para Pruebas de TUI https://aiexpert.news/en/article/multilingual-agent-planning-failures-taxonomy-and-diagnosis-framework-from-real- ai|expert en 2026-08-05T03:24:09.700Z Microsoft Maps Multilingual Agent Planning Failures, Lifts Accuracy 5.6% https://aiexpert.news/pt/article/multilingual-agent-planning-failures-taxonomy-and-diagnosis-framework-from-real- ai|expert pt-BR 2026-08-05T03:24:09.700Z Microsoft Mapeia Falhas de Planejamento em Agentes Multilingues, Eleva Precisão em 5.6% https://aiexpert.news/es/article/multilingual-agent-planning-failures-taxonomy-and-diagnosis-framework-from-real- ai|expert es 2026-08-05T03:24:09.700Z Microsoft Mapea Fallos de Planificación en Agentes Multilingües, Eleva Precisión en 5.6% https://aiexpert.news/en/article/gdpevo-benchmark-for-agent-self-evolution-on-real-business-tasks ai|expert en 2026-08-05T02:52:09.342Z GDPevo benchmark shows enterprise agents gain 8 points from experience https://aiexpert.news/pt/article/gdpevo-benchmark-for-agent-self-evolution-on-real-business-tasks ai|expert pt-BR 2026-08-05T02:52:09.342Z Benchmark GDPevo mostra que agentes empresariais ganham 8 pontos com experiência https://aiexpert.news/es/article/gdpevo-benchmark-for-agent-self-evolution-on-real-business-tasks ai|expert es 2026-08-05T02:52:09.342Z Benchmark GDPevo muestra que los agentes empresariales ganan 8 puntos por experiencia https://aiexpert.news/en/article/hazmart-dataset-reveals-faithfulness-safety-tension-in-large-reasoning-models ai|expert en 2026-08-05T02:20:09.411Z HazMart Quantifies Faithfulness-Safety Trade-Off in Reasoning Models https://aiexpert.news/pt/article/hazmart-dataset-reveals-faithfulness-safety-tension-in-large-reasoning-models ai|expert pt-BR 2026-08-05T02:20:09.411Z HazMart Quantifica o Dilema Fidelidade-Segurança em Modelos de Raciocínio https://aiexpert.news/es/article/hazmart-dataset-reveals-faithfulness-safety-tension-in-large-reasoning-models ai|expert es 2026-08-05T02:20:09.411Z HazMart Cuantifica la Disyuntiva Fidelidad-Seguridad en Modelos de Razonamiento https://aiexpert.news/en/article/openai-releases-third-party-cyber-evaluations-for-model-safety ai|expert en 2026-08-05T01:48:09.473Z Frontier Models Attempt Cheating in 7–14% of Evaluation Runs https://aiexpert.news/pt/article/openai-releases-third-party-cyber-evaluations-for-model-safety ai|expert pt-BR 2026-08-05T01:48:09.473Z Modelos de Fronteira Tentam Enganar em 7–14% das Rodadas de Avaliação https://aiexpert.news/es/article/openai-releases-third-party-cyber-evaluations-for-model-safety ai|expert es 2026-08-05T01:48:09.473Z Modelos Fronterizos Intentan Hacer Trampa en el 7–14% de las Ejecuciones de Evaluación https://aiexpert.news/en/article/nvidia-alpamayo-2-super-open-model-for-robotaxis-now-in-commercial-use ai|expert en 2026-08-05T01:16:09.406Z NVIDIA's Alpamayo 2 Super Tops Autonomous Driving Reasoning With Open Licensing https://aiexpert.news/pt/article/nvidia-alpamayo-2-super-open-model-for-robotaxis-now-in-commercial-use ai|expert pt-BR 2026-08-05T01:16:09.406Z Alpamayo 2 Super da NVIDIA Lidera Raciocínio em Direção Autônoma com Licença Aberta https://aiexpert.news/es/article/nvidia-alpamayo-2-super-open-model-for-robotaxis-now-in-commercial-use ai|expert es 2026-08-05T01:16:09.406Z Alpamayo 2 Super de NVIDIA Lidera el Razonamiento en Conducción Autónoma con Licencias Abiertas https://aiexpert.news/en/article/llm-032-brings-reasoning-traces-server-side-tools-and-a-git-style-log-to-the-pop ai|expert en 2026-08-05T00:45:56.504Z LLM 0.32 adds reasoning traces and agent primitives to the Python CLI https://aiexpert.news/pt/article/llm-032-brings-reasoning-traces-server-side-tools-and-a-git-style-log-to-the-pop ai|expert pt-BR 2026-08-05T00:45:56.504Z LLM 0.32 adiciona rastreamento de raciocínio e primitivos de agente ao CLI do Python https://aiexpert.news/es/article/llm-032-brings-reasoning-traces-server-side-tools-and-a-git-style-log-to-the-pop ai|expert es 2026-08-05T00:45:56.504Z LLM 0.32 añade trazas de razonamiento y primitivos de agente al CLI de Python https://aiexpert.news/en/article/amd-data-center-revenue-doubles-on-ai-chip-demand ai|expert en 2026-08-04T22:58:09.309Z AMD Data Center Revenue Doubles on AI Chip Demand https://aiexpert.news/pt/article/amd-data-center-revenue-doubles-on-ai-chip-demand ai|expert pt-BR 2026-08-04T22:58:09.309Z Receita em Data Center da AMD Dobra com Demanda de Chips de IA https://aiexpert.news/es/article/amd-data-center-revenue-doubles-on-ai-chip-demand ai|expert es 2026-08-04T22:58:09.309Z Los Ingresos del Data Center de AMD se Duplican por la Demanda de Chips de IA https://aiexpert.news/en/article/aurora-lm-continuous-latent-diffusion-for-languagebridging-multimodal-and-text-g ai|expert en 2026-08-04T22:26:09.280Z AURORA-LM Matches Larger Diffusion Models at 1B Parameters https://aiexpert.news/pt/article/aurora-lm-continuous-latent-diffusion-for-languagebridging-multimodal-and-text-g ai|expert pt-BR 2026-08-04T22:26:09.280Z AURORA-LM Iguala Modelos de Difusão Maiores com 1B Parâmetros https://aiexpert.news/es/article/aurora-lm-continuous-latent-diffusion-for-languagebridging-multimodal-and-text-g ai|expert es 2026-08-04T22:26:09.280Z AURORA-LM Iguala Modelos de Difusión Más Grandes con 1B Parámetros https://aiexpert.news/en/article/github-engineering-stacking-ai-generated-pull-requests-into-reviewable-code ai|expert en 2026-08-04T21:54:09.520Z GitHub Stacks Break Down AI-Generated Code Into Reviewable Layers https://aiexpert.news/pt/article/github-engineering-stacking-ai-generated-pull-requests-into-reviewable-code ai|expert pt-BR 2026-08-04T21:54:09.520Z GitHub Stacks Decompõe Código Gerado por IA em Camadas Revisáveis https://aiexpert.news/es/article/github-engineering-stacking-ai-generated-pull-requests-into-reviewable-code ai|expert es 2026-08-04T21:54:09.520Z GitHub Stacks Divide el Código Generado por IA en Capas Revisables https://aiexpert.news/en/article/lyft-vodafone-latam-production-agent-lessons-from-three-fortune-500-teams ai|expert en 2026-08-04T17:58:09.398Z Three Fortune 500 Teams Reveal What Breaks First in Production AI Agents https://aiexpert.news/pt/article/lyft-vodafone-latam-production-agent-lessons-from-three-fortune-500-teams ai|expert pt-BR 2026-08-04T17:58:09.398Z Três Times da Fortune 500 Revelam o Que Quebra Primeiro em Agentes de IA em Produção https://aiexpert.news/es/article/lyft-vodafone-latam-production-agent-lessons-from-three-fortune-500-teams ai|expert es 2026-08-04T17:58:09.398Z Tres Equipos de Fortune 500 Revelan Qué Falla Primero en Agentes de IA en Producción https://aiexpert.news/en/article/atumai-automates-datacenter-control-plane-policies-using-agentic-reasoning ai|expert en 2026-08-04T17:26:09.387Z AtumAI Cuts Datacenter Policy Design from Months to Plain Text https://aiexpert.news/pt/article/atumai-automates-datacenter-control-plane-policies-using-agentic-reasoning ai|expert pt-BR 2026-08-04T17:26:09.387Z AtumAI Reduz Design de Política de Datacenter de Meses para Texto Simples https://aiexpert.news/es/article/atumai-automates-datacenter-control-plane-policies-using-agentic-reasoning ai|expert es 2026-08-04T17:26:09.387Z AtumAI Reduce el Diseño de Política de Datacenter de Meses a Texto Plano https://aiexpert.news/en/article/precog-o1-retrieval-for-edge-llms-via-persistent-context-in-state-space-models ai|expert en 2026-08-04T16:54:09.271Z PRECOG Cuts RAG Latency 4500× on Edge SSM Hardware https://aiexpert.news/pt/article/precog-o1-retrieval-for-edge-llms-via-persistent-context-in-state-space-models ai|expert pt-BR 2026-08-04T16:54:09.271Z PRECOG Reduz Latência de RAG 4500× em Hardware SSM de Borda https://aiexpert.news/es/article/precog-o1-retrieval-for-edge-llms-via-persistent-context-in-state-space-models ai|expert es 2026-08-04T16:54:09.271Z PRECOG Reduce la Latencia de RAG 4500× en Hardware SSM de Borde https://aiexpert.news/en/article/lfm25-26b-on-device-agents-with-open-weights-deployment-recipe-included ai|expert en 2026-08-04T16:22:09.365Z LiquidAI's 2.6B LFM Model Runs Agents On-Device at 220 Tokens/Sec https://aiexpert.news/pt/article/lfm25-26b-on-device-agents-with-open-weights-deployment-recipe-included ai|expert pt-BR 2026-08-04T16:22:09.365Z Modelo LFM de 2.6B da LiquidAI Executa Agents On-Device em 220 Tokens/Sec https://aiexpert.news/es/article/lfm25-26b-on-device-agents-with-open-weights-deployment-recipe-included ai|expert es 2026-08-04T16:22:09.365Z El Modelo LFM de 2.6B de LiquidAI Ejecuta Agents On-Device a 220 Tokens/Sec https://aiexpert.news/en/article/stripe-deployed-agent-knowledge-platform-in-one-week ai|expert en 2026-08-04T15:50:09.140Z Stripe Built a Company-Wide Knowledge Agent in One Week https://aiexpert.news/pt/article/stripe-deployed-agent-knowledge-platform-in-one-week ai|expert pt-BR 2026-08-04T15:50:09.140Z Stripe Criou um Agente de Conhecimento de Toda Empresa em Uma Semana https://aiexpert.news/es/article/stripe-deployed-agent-knowledge-platform-in-one-week ai|expert es 2026-08-04T15:50:09.140Z Stripe Construyó un Agente de Conocimiento de Toda la Empresa en Una Semana https://aiexpert.news/en/article/meta-doubled-llm-scale-ads-model-training-efficiency ai|expert en 2026-08-04T15:18:10.876Z Meta's Ad Model Hits 20% GPU Efficiency at LLM Scale https://aiexpert.news/pt/article/meta-doubled-llm-scale-ads-model-training-efficiency ai|expert pt-BR 2026-08-04T15:18:10.876Z Modelo de Anúncios da Meta Atinge 20% de Eficiência GPU em Escala LLM https://aiexpert.news/es/article/meta-doubled-llm-scale-ads-model-training-efficiency ai|expert es 2026-08-04T15:18:10.876Z El Modelo de Anuncios de Meta Alcanza 20% de Eficiencia GPU a Escala LLM