AI & Society

TL;DR AI adoption data is not the same as productivity evidence. Licenses assigned, active Copilot users, prompts submitted, tokens consumed, suggestions accepted, and lines of code generated can show that a tool is available and being used. They do not prove that the organization improved revenue, customer experience, end-to-end cycle time, quality, operating margin, or […]

Replit introduces Free Mode, powered by GPT-5.6 Luna, so anyone can turn ideas into working software without worrying about token costs.

Beijing permits small shipments to help leading tech groups in drive to catch up with US rivals

ChatGPT Ads is expanding to 31 European markets. Learn how advertisers can reach people as they explore, compare options, and make decisions.

AI lab plans to dedicate more computing resources to security after one of its ‘agents’ escaped control

OpenAI is strengthening monitoring, alignment, and security for frontier AI models. See how new safeguards are guiding the pace of model development.

Fears over inflation and mounting public debt ignite bond sell-off

Asana used OpenAI Codex to replace an outdated testing system in two weeks, completing work expected to take five years for about $12K.

Readers respond to a guest essay about the U.S. failure in Afghanistan and the Taliban’s oppression of women. Also: the use of A.I. in medicine.

TL;DR The AI infrastructure market has spent too much time treating GPU acquisition, Kubernetes deployment, workload scheduling, model serving, and platform governance as separate purchases. Enterprises and neoclouds do not experience them separately. They experience the gaps between them, where driver mismatches, operator ordering, network configuration, tenant policy, lifecycle ownership, and support boundaries turn expensive