https://aiexpert.news/en/article/vlms-dont-necessarily-align-better-with-humans-for-text-only-tasks ai|expert en 2026-05-28T07:14:15.519Z Vision-Language Models Show No Advantage in Text-Only Alignment https://aiexpert.news/pt/article/vlms-dont-necessarily-align-better-with-humans-for-text-only-tasks ai|expert pt-BR 2026-05-28T07:14:15.519Z Modelos de Visão-Linguagem Sem Vantagem em Alinhamento Apenas de Texto https://aiexpert.news/es/article/vlms-dont-necessarily-align-better-with-humans-for-text-only-tasks ai|expert es 2026-05-28T07:14:15.519Z Modelos de Visión-Lenguaje Sin Ventaja en Alineación de Texto Solamente https://aiexpert.news/en/article/uniform-quantization-enables-real-time-vision-language-action-model-deployment ai|expert en 2026-05-28T06:38:15.559Z Omega-QVLA Cuts Robot Vision Model Memory by 71% Without Retraining https://aiexpert.news/pt/article/uniform-quantization-enables-real-time-vision-language-action-model-deployment ai|expert pt-BR 2026-05-28T06:38:15.559Z Omega-QVLA Reduz Memória do Modelo de Visão de Robô em 71% Sem Retreinamento https://aiexpert.news/es/article/uniform-quantization-enables-real-time-vision-language-action-model-deployment ai|expert es 2026-05-28T06:38:15.559Z Omega-QVLA Reduce el Modelo de Visión de Robot por 71% Sin Reentrenamiento https://aiexpert.news/en/article/peft-arena-benchmark-reveals-stability-plasticity-tradeoffs-in-fine-tuning ai|expert en 2026-05-28T06:06:15.337Z Production Hardware Tests Needed Before OFT Replaces LoRA at Scale https://aiexpert.news/pt/article/peft-arena-benchmark-reveals-stability-plasticity-tradeoffs-in-fine-tuning ai|expert pt-BR 2026-05-28T06:06:15.337Z Testes de Hardware de Produção Necessários Antes que OFT Substitua LoRA em Escala https://aiexpert.news/es/article/peft-arena-benchmark-reveals-stability-plasticity-tradeoffs-in-fine-tuning ai|expert es 2026-05-28T06:06:15.337Z Se necesitan pruebas de hardware de producción antes de que OFT reemplace a LoRA a gran escala https://aiexpert.news/en/article/study-questions-need-for-semantic-metadata-in-agentic-data-retrieval ai|expert en 2026-05-28T05:28:15.532Z Schema.org Metadata Cuts Agentic Retrieval Errors by Two-Thirds https://aiexpert.news/pt/article/study-questions-need-for-semantic-metadata-in-agentic-data-retrieval ai|expert pt-BR 2026-05-28T05:28:15.532Z Metadados Schema.org Reduzem Erros de Busca por Agentes em Duas Terças https://aiexpert.news/es/article/study-questions-need-for-semantic-metadata-in-agentic-data-retrieval ai|expert es 2026-05-28T05:28:15.532Z Metadatos de Schema.org reducen los errores de recuperación agénica en dos tercios https://aiexpert.news/en/article/scalable-oversight-gets-statistical-guarantees-with-cco ai|expert en 2026-05-28T04:28:15.487Z Stanford Framework Keeps AI Agents Within Violation Targets https://aiexpert.news/pt/article/scalable-oversight-gets-statistical-guarantees-with-cco ai|expert pt-BR 2026-05-28T04:28:15.487Z Quadro de Stanford Mantém Agentes IA Dentro dos Alvos de Violação https://aiexpert.news/es/article/scalable-oversight-gets-statistical-guarantees-with-cco ai|expert es 2026-05-28T04:28:15.487Z Marco de Stanford Mantiene a los Agentes de IA Dentro de los Objetivos de Violación https://aiexpert.news/en/article/bidirectional-evolutionary-search-cuts-token-waste-in-reasoning-inference ai|expert en 2026-05-28T03:54:15.437Z Bidirectional Evolutionary Search Escapes Autoregressive Limits in Reasoning https://aiexpert.news/pt/article/bidirectional-evolutionary-search-cuts-token-waste-in-reasoning-inference ai|expert pt-BR 2026-05-28T03:54:15.437Z Busca Evolucionária Bidirecional Escapa dos Limites Autorregressivos na Razão https://aiexpert.news/es/article/bidirectional-evolutionary-search-cuts-token-waste-in-reasoning-inference ai|expert es 2026-05-28T03:54:15.437Z La Búsqueda Evolutiva Bidireccional Evita los Límites Autorregressivos en el Razonamiento https://aiexpert.news/en/article/snowflakes-6b-graviton-investment-signals-strategic-shift-in-custom-chip-consoli ai|expert en 2026-05-28T02:36:15.445Z Snowflake's $6B Graviton Bet Points to CPU Crunch in Agentic AI https://aiexpert.news/pt/article/snowflakes-6b-graviton-investment-signals-strategic-shift-in-custom-chip-consoli ai|expert pt-BR 2026-05-28T02:36:15.445Z A Aposta de US$ 6 Bi do Snowflake no Graviton Aponta para Escassez de CPUs na IA Agente https://aiexpert.news/es/article/snowflakes-6b-graviton-investment-signals-strategic-shift-in-custom-chip-consoli ai|expert es 2026-05-28T02:36:15.445Z Apostar $6.000 millones de Snowflake en Graviton señala una presión en la CPU en la IA agente https://aiexpert.news/en/article/italy-imposes-200-tax-on-data-centers-in-agricultural-zones ai|expert en 2026-05-28T02:00:54.566Z Lombardy's 200% Tax Chokes Data Center Pipeline https://aiexpert.news/pt/article/italy-imposes-200-tax-on-data-centers-in-agricultural-zones ai|expert pt-BR 2026-05-28T02:00:54.566Z Imposto de 200% na Lombardia Sufoca o Fluxo de Centros de Dados https://aiexpert.news/es/article/italy-imposes-200-tax-on-data-centers-in-agricultural-zones ai|expert es 2026-05-28T02:00:54.566Z El 200% de Impuesto ahogado en el Canal de Centros de Datos de Lombardía https://aiexpert.news/en/article/matcha-new-metric-detects-semantic-contradictions-in-llm-outputs ai|expert en 2026-05-28T01:30:15.452Z MATCHA Outperforms BERTScore by 20% at Detecting Semantic Contradictions https://aiexpert.news/pt/article/matcha-new-metric-detects-semantic-contradictions-in-llm-outputs ai|expert pt-BR 2026-05-28T01:30:15.452Z MATCHA Supera BERTScore em 20% na Detecção de Contradições Semânticas https://aiexpert.news/es/article/matcha-new-metric-detects-semantic-contradictions-in-llm-outputs ai|expert es 2026-05-28T01:30:15.452Z MATCHA supera BERTScore en un 20% al detectar contradicciones semánticas https://aiexpert.news/en/article/per-query-optimization-for-retrieval-agents-dynamic-config-selection ai|expert en 2026-05-27T18:18:15.272Z BRANE Cuts Retrieval Agent Costs by 89% Per Query https://aiexpert.news/pt/article/per-query-optimization-for-retrieval-agents-dynamic-config-selection ai|expert pt-BR 2026-05-27T18:18:15.272Z BRANE Reduz Custos do Agente de Busca por 89% por Consulta https://aiexpert.news/es/article/per-query-optimization-for-retrieval-agents-dynamic-config-selection ai|expert es 2026-05-27T18:18:15.272Z BRANE reduce el costo del agente de recuperación en un 89% por consulta https://aiexpert.news/en/article/azure-logic-apps-adds-sandboxed-code-interpreters-to-agent-workflows ai|expert en 2026-05-27T17:46:15.772Z Logic Apps Embeds Python, JavaScript Execution Without External Calls https://aiexpert.news/pt/article/azure-logic-apps-adds-sandboxed-code-interpreters-to-agent-workflows ai|expert pt-BR 2026-05-27T17:46:15.772Z Logic Apps Incorpora Execução de Python e JavaScript Sem Chamadas Externas https://aiexpert.news/es/article/azure-logic-apps-adds-sandboxed-code-interpreters-to-agent-workflows ai|expert es 2026-05-27T17:46:15.772Z Aplicaciones Lógicas Incorpora Ejecución de Python, JavaScript Sin Llamadas Externas https://aiexpert.news/en/article/3m-applicant-analysis-reveals-racial-disparities-in-hiring-algorithms ai|expert en 2026-05-27T17:15:55.477Z Stanford Audit Finds Pymetrics Directed 26% of Black Applicants Away From Jobs https://aiexpert.news/pt/article/3m-applicant-analysis-reveals-racial-disparities-in-hiring-algorithms ai|expert pt-BR 2026-05-27T17:15:55.477Z Auditoria da Stanford Encontra que Pymetrics Encaminhou 26% dos Candidatos Negros para fora dos Empregos https://aiexpert.news/es/article/3m-applicant-analysis-reveals-racial-disparities-in-hiring-algorithms ai|expert es 2026-05-27T17:15:55.477Z Auditoría de Stanford Encuentra que Pymetrics Envió a 26% de Solicitantes Negros Lejos de los Trabajos https://aiexpert.news/en/article/research-reveals-model-induced-bias-amplification-in-rlhf ai|expert en 2026-05-27T16:44:15.363Z RLHF Training Amplifies Model Bias to 100 Percent https://aiexpert.news/pt/article/research-reveals-model-induced-bias-amplification-in-rlhf ai|expert pt-BR 2026-05-27T16:44:15.363Z Treinamento RLHF Amplifica o Vies do Modelo para 100 Por cento https://aiexpert.news/es/article/research-reveals-model-induced-bias-amplification-in-rlhf ai|expert es 2026-05-27T16:44:15.363Z El entrenamiento con RLHF amplía el sesgo del modelo al 100 por ciento https://aiexpert.news/en/article/mobilemoe-explores-sub-billion-parameter-moe-for-on-device-deployment ai|expert en 2026-05-27T16:00:15.620Z Meta Shrinks Mixture-of-Experts to Smartphones Without Cloud Offloading https://aiexpert.news/pt/article/mobilemoe-explores-sub-billion-parameter-moe-for-on-device-deployment ai|expert pt-BR 2026-05-27T16:00:15.620Z Meta Reduz Mixture-of-Experts para Smartphones Sem Offloading na Nuvem https://aiexpert.news/es/article/mobilemoe-explores-sub-billion-parameter-moe-for-on-device-deployment ai|expert es 2026-05-27T16:00:15.620Z Meta Reduce el Modelo Mixture-of-Experts a Smartphones Sin Redundancia en la Nube https://aiexpert.news/en/article/ibm-spins-off-2b-quantum-chip-foundry-signaling-us-strategic-compute-move ai|expert en 2026-05-26T19:48:15.639Z IBM's $2B Quantum Bet Targets First Neutral Wafer Fab in U.S. Portfolio https://aiexpert.news/pt/article/ibm-spins-off-2b-quantum-chip-foundry-signaling-us-strategic-compute-move ai|expert pt-BR 2026-05-26T19:48:15.639Z Aposta de US$ 2 bilhões da IBM em Quantum visa primeiro fab de wafer neutro nos EUA https://aiexpert.news/es/article/ibm-spins-off-2b-quantum-chip-foundry-signaling-us-strategic-compute-move ai|expert es 2026-05-26T19:48:15.639Z Apuesta cuántica de IBM de $2.000 millones en la primera fábrica de wafers neutra en el portafolio de EE. UU. https://aiexpert.news/en/article/the-10k-sovereign-ai-cluster-how-smbs-are-running-100b-parameter-models-on-apple ai|expert en 2026-05-26T18:30:15.248Z Mac Clusters Run 671B Models On-Prem for $38K https://aiexpert.news/pt/article/the-10k-sovereign-ai-cluster-how-smbs-are-running-100b-parameter-models-on-apple ai|expert pt-BR 2026-05-26T18:30:15.248Z Clusters de Mac Studio Oferecem Inferência de 671B-Parâmetros por $32.000 https://aiexpert.news/es/article/the-10k-sovereign-ai-cluster-how-smbs-are-running-100b-parameter-models-on-apple ai|expert es 2026-05-26T18:30:15.248Z Clústeres de Mac Studio ofrecen inferencia de 671B-parámetros por $32,000 https://aiexpert.news/en/article/smoke-planb2-1779803697724 ai|expert en 2026-05-26T14:24:15.493Z Mistral's 30B mixture-of-depths model remains unconfirmed but would fill a code-stack gap https://aiexpert.news/pt/article/smoke-planb2-1779803697724 ai|expert pt-BR 2026-05-26T14:24:15.493Z Modelo de Mistura de Profundidades de 30B do Mistral permanece não confirmado, mas preencheria uma lacuna na pilha de código https://aiexpert.news/es/article/smoke-planb2-1779803697724 ai|expert es 2026-05-26T14:24:15.493Z Modelo de mezcla de profundidades de 30B de Mistral sigue sin confirmarse pero llenaría un vacío en la pila de código https://aiexpert.news/en/article/babyagi-creators-activegraph-inverts-agent-architecture-making-the-event-log-not ai|expert en 2026-05-26T12:50:15.280Z ActiveGraph Inverts Agent Architecture, Putting Event Log First https://aiexpert.news/pt/article/babyagi-creators-activegraph-inverts-agent-architecture-making-the-event-log-not ai|expert pt-BR 2026-05-26T12:50:15.280Z ActiveGraph Inverte Arquitetura de Agentes, Colocando Log de Eventos em Primeiro Lugar https://aiexpert.news/es/article/babyagi-creators-activegraph-inverts-agent-architecture-making-the-event-log-not ai|expert es 2026-05-26T12:50:15.280Z ActiveGraph Invierte la Arquitectura de Agentes, Colocando el Registro de Eventos Primero https://aiexpert.news/en/article/uber-pumps-brakes-on-ai-spending-as-token-to-product-roi-stays-unproven ai|expert en 2026-05-26T12:00:15.856Z Uber Burned Its 2026 AI Budget in Four Months https://aiexpert.news/pt/article/uber-pumps-brakes-on-ai-spending-as-token-to-product-roi-stays-unproven ai|expert pt-BR 2026-05-26T12:00:15.856Z Uber Queimou Seu Orçamento de IA de 2026 em Quatro Meses https://aiexpert.news/es/article/uber-pumps-brakes-on-ai-spending-as-token-to-product-roi-stays-unproven ai|expert es 2026-05-26T12:00:15.856Z Uber Gastó Su Presupuesto de IA de 2026 en Cuatro Meses https://aiexpert.news/en/article/architecting-cloud-native-kafka-from-tiered-storage-toward-diskless-ml-pipelines ai|expert en 2026-05-26T09:48:15.436Z Kafka 4.2 Share Groups Break Partition-Consumer Coupling https://aiexpert.news/pt/article/architecting-cloud-native-kafka-from-tiered-storage-toward-diskless-ml-pipelines ai|expert pt-BR 2026-05-26T09:48:15.436Z Kafka 4.2 Share Groups Quebram o Acoplamento Partição-Consumer https://aiexpert.news/es/article/architecting-cloud-native-kafka-from-tiered-storage-toward-diskless-ml-pipelines ai|expert es 2026-05-26T09:48:15.436Z Kafka 4.2 Share Groups Rompen el Acoplamiento Partición-Consumer https://aiexpert.news/en/article/looped-masked-diffusion-models-efficient-transformer-architecture-for-language ai|expert en 2026-05-26T08:28:15.264Z LoopMDM Cuts Training FLOPs 3.3× by Recycling Transformer Layers https://aiexpert.news/pt/article/looped-masked-diffusion-models-efficient-transformer-architecture-for-language ai|expert pt-BR 2026-05-26T08:28:15.264Z LoopMDM Reduz FLOPs de Treinamento 3.3× ao Reciclar Camadas Transformer https://aiexpert.news/es/article/looped-masked-diffusion-models-efficient-transformer-architecture-for-language ai|expert es 2026-05-26T08:28:15.264Z LoopMDM Reduce FLOPs de Entrenamiento 3.3× al Reciclar Capas Transformer