https://aiexpert.news/en/article/negation-neglect-llms-can-learn-false-claims-from-negation-heavy-fine-tuning ai|expert en 2026-05-16T21:34:08.326Z Negation Neglect Drives False Belief Rate to 88.6% in Fine-Tuned LLMs https://aiexpert.news/pt/article/negation-neglect-llms-can-learn-false-claims-from-negation-heavy-fine-tuning ai|expert pt-BR 2026-05-16T21:34:08.326Z Negligência de Negação Eleva Taxa de Crenças Falsas para 88,6% em LLMs Fine-Tuned https://aiexpert.news/es/article/negation-neglect-llms-can-learn-false-claims-from-negation-heavy-fine-tuning ai|expert es 2026-05-16T21:34:08.326Z Negligencia de Negación Eleva Tasa de Creencias Falsas a 88,6% en LLMs Fine-Tuned https://aiexpert.news/en/article/ai-harness-runtime-substrate-for-reliable-software-engineering-agents ai|expert en 2026-05-16T20:54:08.296Z Why Production Agents Fail Without Harness Infrastructure https://aiexpert.news/pt/article/ai-harness-runtime-substrate-for-reliable-software-engineering-agents ai|expert pt-BR 2026-05-16T20:54:08.296Z Por que Agentes em Produção Falham Sem Infraestrutura de Harness https://aiexpert.news/es/article/ai-harness-runtime-substrate-for-reliable-software-engineering-agents ai|expert es 2026-05-16T20:54:08.296Z Por Qué los Agentes en Producción Fallan Sin Infraestructura de Harness https://aiexpert.news/en/article/real-time-ai-agents-demand-asynchronous-io-and-speculative-execution ai|expert en 2026-05-16T20:22:08.395Z Berkeley Framework Cuts Agent Latency 1.3–2.2× https://aiexpert.news/pt/article/real-time-ai-agents-demand-asynchronous-io-and-speculative-execution ai|expert pt-BR 2026-05-16T20:22:08.395Z Framework de Berkeley Reduz Latência de Agentes 1.3–2.2× https://aiexpert.news/es/article/real-time-ai-agents-demand-asynchronous-io-and-speculative-execution ai|expert es 2026-05-16T20:22:08.395Z Framework de Berkeley Reduce Latencia de Agentes 1.3–2.2× https://aiexpert.news/en/article/ciscos-ai-surge-lifts-stock-14-despite-massive-workforce-cuts ai|expert en 2026-05-16T19:30:08.246Z Cisco's $9 billion AI orders lift stock 15% on record quarter https://aiexpert.news/pt/article/ciscos-ai-surge-lifts-stock-14-despite-massive-workforce-cuts ai|expert pt-BR 2026-05-16T19:30:08.246Z Pedidos de IA de $9 bilhões da Cisco impulsionam ações 15% em trimestre recorde https://aiexpert.news/es/article/ciscos-ai-surge-lifts-stock-14-despite-massive-workforce-cuts ai|expert es 2026-05-16T19:30:08.246Z Pedidos de IA de $9 mil millones de Cisco impulsan acciones 15% en trimestre récord https://aiexpert.news/en/article/forced-ai-coding-mandates-are-de-skilling-developers-and-stacking-tech-debt-work ai|expert en 2026-05-16T18:50:09.069Z AI Code Mandates Drive 10x Security Findings Spike https://aiexpert.news/pt/article/forced-ai-coding-mandates-are-de-skilling-developers-and-stacking-tech-debt-work ai|expert pt-BR 2026-05-16T18:50:09.069Z Mandatos de IA no Código Disparam Descobertas de Segurança em 10x 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https://aiexpert.news/pt/article/aws-workspaces-ai-agents-now-control-legacy-desktop-apps-without-apis ai|expert pt-BR 2026-05-15T03:06:48.566Z Agentes de IA Podem Acessar Qualquer Aplicação Desktop Sem APIs https://aiexpert.news/es/article/aws-workspaces-ai-agents-now-control-legacy-desktop-apps-without-apis ai|expert es 2026-05-15T03:06:48.566Z Agentes de IA Pueden Acceder a Cualquier Aplicación Desktop Sin APIs https://aiexpert.news/en/article/kv-fold-one-step-protocol-extends-context-windows-without-retraining ai|expert en 2026-05-15T02:35:38.656Z KV-Fold Extends Transformer Context to 128K Without Retraining https://aiexpert.news/pt/article/kv-fold-one-step-protocol-extends-context-windows-without-retraining ai|expert pt-BR 2026-05-15T02:35:38.656Z KV-Fold Estende Contexto de Transformers até 128K Sem Retreinamento https://aiexpert.news/es/article/kv-fold-one-step-protocol-extends-context-windows-without-retraining ai|expert es 2026-05-15T02:35:38.656Z KV-Fold Extiende el Contexto de Transformers a 128K sin Reentrenamiento https://aiexpert.news/en/article/task-adaptive-embeddings-llm-guided-query-refinement-for-zero-shot-search ai|expert en 2026-05-15T02:05:37.596Z IBM Boosts Zero-Shot Search Accuracy 25% With LLM Query Refinement https://aiexpert.news/pt/article/task-adaptive-embeddings-llm-guided-query-refinement-for-zero-shot-search ai|expert pt-BR 2026-05-15T02:05:37.596Z IBM Aumenta Precisão de Busca Zero-Shot 25% Com Refinamento de Query via LLM https://aiexpert.news/es/article/task-adaptive-embeddings-llm-guided-query-refinement-for-zero-shot-search ai|expert es 2026-05-15T02:05:37.596Z IBM Aumenta Precisión de Búsqueda Zero-Shot 25% Con Refinamiento de Consulta Mediante LLM https://aiexpert.news/en/article/attractor-models-iterative-refinement-for-stable-looped-reasoning ai|expert en 2026-05-15T01:34:48.650Z 27M Attractor Model Beats GPT o3 on Logic Puzzles https://aiexpert.news/pt/article/attractor-models-iterative-refinement-for-stable-looped-reasoning ai|expert pt-BR 2026-05-15T01:34:48.650Z Modelo Attractor de 27M Supera GPT o3 em Quebra-Cabeças de Lógica https://aiexpert.news/es/article/attractor-models-iterative-refinement-for-stable-looped-reasoning ai|expert es 2026-05-15T01:34:48.650Z Modelo Attractor de 27M Supera GPT o3 en Rompecabezas de Lógica https://aiexpert.news/en/article/reward-hacking-in-rubric-based-rl-how-post-training-verifiers-can-mislead ai|expert en 2026-05-15T01:02:48.773Z Reward Hacking Undetected in Single-Verifier Training https://aiexpert.news/pt/article/reward-hacking-in-rubric-based-rl-how-post-training-verifiers-can-mislead ai|expert pt-BR 2026-05-15T01:02:48.773Z Reward Hacking Não Detectado no Treinamento com Verificador Único https://aiexpert.news/es/article/reward-hacking-in-rubric-based-rl-how-post-training-verifiers-can-mislead ai|expert es 2026-05-15T01:02:48.773Z Reward Hacking No Detectado en Entrenamiento con Verificador Único https://aiexpert.news/en/article/beyond-grpo-sparse-to-dense-reward-allocation-for-efficient-llm-post-training ai|expert en 2026-05-15T00:30:48.532Z Sparse-to-Dense RL Lifts MATH Scores to 78.5% on Small Models https://aiexpert.news/pt/article/beyond-grpo-sparse-to-dense-reward-allocation-for-efficient-llm-post-training ai|expert pt-BR 2026-05-15T00:30:48.532Z Aprendizado Sparse-to-Dense Eleva Scores MATH para 78.5% em Modelos Pequenos https://aiexpert.news/es/article/beyond-grpo-sparse-to-dense-reward-allocation-for-efficient-llm-post-training ai|expert es 2026-05-15T00:30:48.532Z Aprendizaje Sparse-to-Dense Eleva Scores MATH a 78.5% en Modelos Pequeños https://aiexpert.news/en/article/sparse-mixture-of-experts-routers-show-geometric-couplingnew-path-to-stable-smoe ai|expert en 2026-05-15T00:00:38.325Z Standard load-balancing losses degrade SMoE expert specialization by 3x https://aiexpert.news/pt/article/sparse-mixture-of-experts-routers-show-geometric-couplingnew-path-to-stable-smoe ai|expert pt-BR 2026-05-15T00:00:38.325Z Perdas padrão de balanceamento de carga degradam especialização de experts em SMoE em 3x https://aiexpert.news/es/article/sparse-mixture-of-experts-routers-show-geometric-couplingnew-path-to-stable-smoe ai|expert es 2026-05-15T00:00:38.325Z Las pérdidas estándar de equilibrio de carga degradan la especialización de expertos en SMoE en 3x