Temperature is a generation setting that changes how strongly an AI model favors its highest-probability next tokens. Lower values concentrate probability on likely choices and often produce more consistent output, while higher values spread probability across alternatives and can increase variation. Temperature does not directly control truthfulness, creativity, or intelligence, and its effect depends on the model and other sampling settings. A very low value may still produce an error, while a high value can sometimes be appropriate for brainstorming. Applications choose and test the setting according to the task, balancing repeatability, diversity, formatting reliability, and risk. Some model interfaces fix or reinterpret temperature, so behavior should be verified rather than assumed.
SoftBank has secured a $40 billion bridge loan to deepen its investment in OpenAI and accelerate its broader AI strategy.
AI-driven bots now generate more internet traffic than humans, according to a new report, highlighting the growing impact of automated systems online.
New research shows that telling AI models they are “experts” can reduce accuracy in tasks like coding and math, while improving safety and alignment outcomes.
Meta introduced four new in-house MTIA chips designed for AI training and inference as the company accelerates data center expansion. The chips aim to improve performance and reduce reliance on external hardware suppliers.
Google has rolled out Canvas in AI Mode to all U.S. users in English, enabling people to create documents, dashboards, and interactive tools directly within Search. The feature provides a dynamic workspace for planning projects and building simple applications.
Andrej Karpathy argues AI coding agents now fundamentally change programming workflows, enabling long-running autonomous tasks and redefining software engineering.
MSCI introduces AI connectors enabling access to its data via MSCI ONE, ChatGPT, and Claude, debuting IndexAI Insights to deliver conversational index analytics powered by large language models.
ŌURA unveils a proprietary large language model for women’s health, combining clinical research and biometric data to deliver personalized, privacy-first AI guidance through Oura Advisor.
A former Citigroup executive says commercially available humanoid robots can now deliver a return on investment in under 10 weeks, potentially accelerating enterprise automation.
Former DeepMind researcher David Silver has raised $1 billion for London-based Ineffable Intelligence, aiming to build a superintelligence that learns autonomously through experience.