AI
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Microsoft rolls out Copilot Chat to Microsoft 365 Office apps
Source: BleepingComputerRead more: Microsoft rolls out Copilot Chat to Microsoft 365 Office appsMicrosoft is expanding its Copilot Chat feature to various Microsoft 365 applications for business customers. This includes integrating the tool…
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De-risking investment in AI agents
Source: MIT TechnologY ReviewRead more: De-risking investment in AI agentsThe rise of agentic AI represents a significant step forward in automation for customer experience. These systems not only interact…
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The Download: regulators are coming for AI companions, and meet our Innovator of 2025
Source: MIT TechnologY ReviewRead more: The Download: regulators are coming for AI companions, and meet our Innovator of 2025The article discusses the increasing scrutiny on AI companionship technologies. It highlights concerns regarding safety and ethical implications as these…
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Challenging the Average With Open-Source AI: Hugging Face’s Thomas Wolf
Source: MIT Sloan Management ReviewRead more: Challenging the Average With Open-Source AI: Hugging Face’s Thomas WolfThomas Wolf discusses how Hugging Face democratizes access to pretrained AI models. The platform aims to simplify the user experience…
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Agentic AI at Scale: Redefining Management for a Superhuman Workforce
Source: MIT Sloan Management ReviewRead more: Agentic AI at Scale: Redefining Management for a Superhuman WorkforceA recent report from MIT Sloan Management Review and BCG explores the evolving role of responsible artificial intelligence in management.…
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The looming crackdown on AI companionship
Source: MIT Technology Review SecurityRead more: The looming crackdown on AI companionshipRecent discussions have emerged regarding the potential dangers of children forming unhealthy attachments to AI companions. This highlights a new…
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ZapGPT: Free-form Language Prompting for Simulated Cellular Control
Source: arXiv AI PapersRead more: ZapGPT: Free-form Language Prompting for Simulated Cellular ControlThis study explores how free-form natural language can guide the collective behavior of simple agents, which is a departure from…
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Maestro: Self-Improving Text-to-Image Generation via Agent Orchestration
Source: arXiv AI PapersRead more: Maestro: Self-Improving Text-to-Image Generation via Agent OrchestrationThis paper presents Maestro, a novel self-evolving system for text-to-image (T2I) models that improves generated images through iterative evolution of…
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Understanding AI Evaluation Patterns: How Different GPT Models Assess Vision-Language Descriptions
Source: arXiv AI PapersRead more: Understanding AI Evaluation Patterns: How Different GPT Models Assess Vision-Language DescriptionsThis study explores how different AI models assess vision-language descriptions. It uncovers evaluation biases and strategies inherent in models like…
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AI Answer Engine Citation Behavior An Empirical Analysis of the GEO16 Framework
Source: arXiv AI PapersRead more: AI Answer Engine Citation Behavior An Empirical Analysis of the GEO16 FrameworkThe study introduces GEO-16, a framework for evaluating the quality of sources cited by AI answer engines. It analyzes 1,702…





