Latency measures the delay between an AI request and the resulting response. Interactive generative systems often track time to first token, which reflects how quickly output begins, and time to last token, which captures total completion time. Latency comes from model computation, queueing, network transfer, retrieval, tool calls, safety checks, and application logic. It varies with prompt length, output length, model size, hardware, batching, cache use, and current load. Optimizing only average latency can hide poor experiences, so teams also monitor percentile values and separate each stage of the request. The right target depends on whether the product is conversational, analytical, offline, or safety-critical.
OpenAI is scaling its Trusted Access for Cyber program and introducing GPT-5.4-Cyber to support vetted defenders as AI-driven security risks accelerate.
New AI cybersecurity systems like Anthropic’s Project Glasswing could increase demand for security professionals as threats and vulnerabilities scale faster.
Anthropic has introduced “Routines” in Claude Code, enabling autonomous AI workflows triggered by schedules, APIs, or GitHub events.
A new national poll shows 50% of Americans used AI in the past week, with ChatGPT leading adoption across work, learning, and creative tasks.
AWS has launched Amazon Bio Discovery, an AI-powered platform that helps scientists design, test, and refine drugs faster using integrated models and lab workflows.
OpenAI has acquired personal finance startup Hiro Finance in an apparent acquihire, bringing its team and expertise into its growing AI ecosystem.
Novo Nordisk is teaming up with OpenAI to use AI in drug discovery and development, aiming to speed up treatments for obesity and diabetes.
X will launch its XChat messaging app on iOS, marking a key step in Elon Musk’s plan to build a WeChat-style super app.
HappyHorse-1.0, an open-source AI video model, has topped global benchmarks, outperforming leading proprietary systems and signaling a shift in the video generation market.
Meta is reportedly building an AI-powered version of Mark Zuckerberg to interact with employees, as part of its broader push into advanced AI systems.