AI & Machine Learning

TL;DR A trusted agent controller is the deterministic authority around an AI agent. It owns the run, not the model. The controller should bind authenticated identity to every task, maintain authoritative workflow state, evaluate versioned policy, pause for scoped approvals, enforce budgets and concurrency, coordinate retries and cancellation, terminate unsafe loops, and preserve evidence that […]

TL;DR Treat every production AI change as a versioned behavior release, not as an isolated model, prompt, or tool edit. Package the model identifier, prompt content, tool schemas, retrieval settings, policy, runtime code, and evaluation thresholds into one immutable release bundle. Prove the candidate offline, replay production traffic in shadow mode without side effects, move

NTT DATA Group uses ChatGPT Enterprise and Codex to help 9,000 employees automate work, cut incident analysis to 30 minutes, and scale secure AI adoption.

More entrepreneurs from China believe there are now greater opportunities at home than in Silicon Valley

Increasing use of aggressive training techniques sharpens threat of bad behaviour by leading models

Google’s parent company, which has spent heavily on artificial intelligence, also showed growth across its businesses, particularly in cloud computing.

Cloud computing division’s 82% growth contributed to strong revenue and profits

News organizations are using AI to strengthen reporting, grow audiences, and improve business operations, with OpenAI tools supporting journalists and publishers worldwide.

Hyundai Motor Company’s plan to put humanoid robots to work by 2028 is not part of current negotiations with striking South Korean autoworkers, according to the company. The automaker is disputing news reports that partial labor strikes by the Hyundai Motor union at the world’s largest automotive plant in South Korea were spurred by concerns

Designing and directing mixed human and agentic teams may be key to conducting the future of work