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.
A former Google DeepMind researcher resigned and warned that AI has the potential to kill everyone, joining a growing wave of safety researchers speaking out.
Elon Musk expanded on his endorsement of Anthropic CEO Dario Amodei’s AI safety warning, saying danger is significant now and competitors should test each other’s models.
OpenAI pays hundreds of contractors to read real ChatGPT conversations and rate the chatbot’s replies, a practice most users likely don’t know exists.
Microsoft published draft rules for its AI models, days after Anthropic’s CEO called for slowing AI development and a researcher resigned over safety fears.
Sam Altman says safety work should constrain the pace of frontier AI development, following an interview in which he rejected a hypothetical 10% extinction risk as unacceptable.
Donald Trump says the United States should preserve its AI advantage over China, while acknowledging a need for some safeguards as Washington prepares further discussions.
Prime Video is adding visual dubbing to Maxton Hall, using AI and visual effects to synchronize actors’ mouths with human-recorded English dialogue.
Xi Jinping proposed joint language-model development and specialist training across BRICS, but announced no named models, access terms or rollout timetable.
Anthropic’s economic scenarios explore how AI could raise U.S. output by 2030 while shifting income toward capital and putting pressure on knowledge workers.
Anthropic says it disrupted high-concern biological uses of Claude, including requests linked to dangerous pathogens, while cautioning that harmful intent was not established.