An AI writing assistant bake-off reveals Claude as the winner, but highlights the limitations of AI in capturing human qualities like authenticity and emotional intelligence in emails and other written communications.
A study reveals LLMs can simulate emotional expressions using structured emotional inputs. This advancement marks a leap in emotionally intelligent AI agents, potentially revolutionizing human-AI interaction in sensitive domains.
Anthropic's research unveils Claude's values through real-world interactions, using anonymized data to understand its alignment with 'helpful, honest, and harmless' principles, revealing contextual nuance and potential pitfalls in AI behavior.
BMW partners with DeepSeek to enhance its Intelligent Personal Assistant in China, leveraging local AI expertise for a more personalized and intuitive in-car experience.
A2A and MCP face challenges in Web3 AI agents due to gaps in application maturity, infrastructure, unique needs, and complexities in interoperability.
Anthropic's 'Values in the Wild' explores Claude's moral framework, revealing how the AI model perceives and responds to human values, and tackles ethical considerations in AI interactions.
An AI expert's perspective on the Model Context Protocol (MCP), Microsoft's adoption, and opportunities for partners. Understand how MCP standardizes AI's interaction with data, improving efficiency and innovation across various platforms.
Gemini's user base is growing, but ChatGPT still leads. This article analyzes the competitive landscape, the economics of AI chatbots, and the ethical considerations of this transformative technology.
Google's Gemini chatbot boasts 350 million monthly users, fueled by integrations across Google services and Samsung phones. While impressive, it still trails ChatGPT and Meta AI in the competitive AI landscape.
Google introduces Quantization-Aware Training (QAT) models for 'Gemma 3,' reducing memory while maintaining quality, broadening access to powerful AI on diverse hardware.
