Agents, models, infrastructure, robotics and the systems that are learning to act.
GPT-6.1 Terra lists at $1 per million input tokens, half the rate of the model it replaces and of the stronger GPT-6.1 Sol. Artificial Analysis scored it 48 on its Intelligence Index, four points behind Sol.
AI safety-focused frontier lab behind the Claude model family, with strong positioning in coding agents and enterprise deployment.
Humanoid robotics company developing general-purpose robots for commercial and, eventually, domestic use.
The dominant supplier of accelerated computing for AI training and inference, and increasingly a platform company spanning chips, networking, software and robotics.
Frontier model developer behind ChatGPT, with a growing focus on agents, enterprise deployment and consumer scale.
Software that plans, acts and completes work with supervision.
An AI agent is a system that uses a model to plan and execute multi-step tasks by calling tools, reading and writing data, and taking actions in software environments, typically with a human setting goals and reviewing outcomes.
Where capital becomes compute.
AI data centres are purpose-built facilities that house dense clusters of accelerators, with power, cooling and networking designed for training and serving large models.
Securing systems that act, not only answer.
Agent security is the set of controls that govern what AI agents can access and do: identity, permissions, input validation, monitoring and containment for systems that take actions with tools.
General-purpose machines built for human environments.
Humanoid robots are bipedal or human-form machines designed to operate in spaces built for people, using general-purpose AI models to perform varied tasks without task-specific programming.
Autonomous and semi-autonomous systems that write, test, review and ship software with human oversight.
Frontier and open-weight models, reasoning systems, small models and the economics of intelligence.
Models that spend compute at inference time to plan, verify and correct before answering.
Humanoids, industrial arms, mobile robots and the software stacks that make them useful.
Models that see, hear, speak and act across text, image, audio, video and sensor data.
Chips, data centres, networking, power and the capital cycle behind compute.
AI systems that perceive, reason and act in the physical world: robots, autonomous machines and embodied models.
AI systems that plan, take actions and complete multi-step work inside business systems rather than only generating text.
A five-item daily brief: what happened, why it matters and what to watch. Written by the desk, verified by editors.