OpenAI introduced Ultrafast, a new operating mode for GPT-5.6 Sol aimed at speeding up how quickly the model completes work. Ultrafast is claimed to run at 14x standard processing speed and produce up to 750 output tokens per second. It is rolling out in preview to a small set of customers and will expand as OpenAI’s capacity grows, with use cases including incident response and customer support.
AI application teams discover that production costs rise sharply because token-heavy architectures keep sending unnecessary text even when the model itself works as expected. The article cites prompt caching that can cut costs by up to 90% by reusing static prefix attention computations. As a result, developers are pushed to apply architectural token optimization (prompt caching, semantic caching, history summarization, retrieval/tool trimming, and routing) instead of only switching to cheaper models.
Multiverse Computing, a Spanish scaleup, said it is nearing the close of a funding round to advance its technology for reducing the compute requirements of large AI models. The company is raising €500m in its Series C. As a result, it is positioned to expand development and deployment efforts as it tries to become a major AI player in Europe.
xAI released Grok 4.6, a new model aimed at long-running agents and more ambitious interactive and visual work. The model is confirmed at 1.5T. It shifts expectations in coding and knowledge-work tasks toward higher agent performance at lower token pricing (reported as $2/$6 per 1M input/output tokens) versus frontier peers.
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