Deloitte deploys Anthropic's Claude AI to 470,000 employees across 150+ countries in the largest enterprise AI rollout ever, creating specialized AI personas for different roles like accountants and developers as the company competes with OpenAI and Google for corporate dominance.
Google Cloud unveils Vertex AI Agent Builder as major corporations including ADT, Mayo Clinic, and Vodafone deploy AI-powered customer service agents using the new platform's no-code development tools and enterprise security features.
ElevenLabs unveils Agent Workflows platform featuring specialized subagents with individual system prompts and knowledge bases, visual conversation flow design, human operator transfers, and optimized performance through different AI models for various tasks.
ServiceNow launches Studio Platform for no-code AI agent development, releases thousands of pre-built AI agents for security and network operations, and announces $2.85 billion acquisition of AI startup Moveworks to accelerate its artificial intelligence strategy.
Chinese youth increasingly turn to AI chatbots like DeepSeek and Doubao for mental health support as traditional therapy remains costly and inaccessible, with nearly half using AI for psychological discussions despite risks including inappropriate crisis responses and potential social isolation.
OpenAI CEO Sam Altman demonstrates breakthrough AI voice technology speaking fluent Hindi with perfect lip-syncing, while 2024 Turing Award winner Richard Sutton declares large language models a 'dead end' for failing to genuinely learn from experience like humans.
Revolutionary AI research systems now deploy orchestrator agents that coordinate multiple subagents to scan vast information sources like Google Drive and Notion, delivering comprehensive answers that surpass traditional keyword searches by synthesizing data from multiple channels before providing users with thorough, well-researched responses.
AI agents powered by large language models now assist scientists with research tasks like data curation and literature reviews, while new collaborative systems mimic medical teams to analyze drug trials and identify unexpected therapeutic effects, though current technology still requires human oversight due to reliability limitations.
Voice AI evaluation standards prove inadequate for 2025 demands as experts call for new metrics measuring end-to-end task success, barge-in behavior, and hallucination-under-noise, moving beyond traditional speech recognition benchmarks that fail to capture real-world performance of modern voice agents.
AI agent successfully builds complex Python cache system through innovative self-correcting feedback loop that automatically writes code, tests it, and fixes errors, but reveals current limitations including skipping critical features like thread safety due to token constraints.