News reporting focused on AI and machine learning, covering the companies behind these technologies, their real-world applications, and the ethical concerns they raise. This includes areas like generative AI (large language models, text-to-image and video), speech tech, and predictive analytics.
Generative AI is moving from flat-rate subscriptions to usage-based billing as agentic workflows consume far more tokens. The token price itself is splitting into segments by speed, specialization, and value. However, measuring costs precisely while benefits remain vague risks turning token usage into a misleading proxy for productivity.
Perplexity introduces 'Search as Code', a new architecture where AI models write their own search workflows as Python code instead of calling fixed APIs. The approach reduces token usage by 85% in a cybersecurity benchmark and beats rivals on four out of five tests. The system is rolling out in Perplexity Computer and the Agent API.