66 summarised stories about GPT-5, each linking back to the original source. Browse all topics →
OpenAI Blog 4 months ago
OpenAI released GPT-5.4 mini and nano, smaller versions of its GPT-5.4 model designed for coding, tool use, and multimodal tasks. The nano variant is the smallest available model in the GPT-5.4 family, optimized for high-volume API calls and sub-agent workloads. These models allow developers to reduce latency and costs when deploying AI systems that don't require the full capabilities of the standard GPT-5.4.
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TLDRocket
22 July 2026
Cursor's launch of its Router—a request-level classifier that slashes AI coding costs by 30–50%—crystallizes the day's clearest economic story: the AI industry is moving from buildout to optimization. The system, trained on 600,000 live requests, routes routine tasks to cheaper models while reserving frontier reasoning for genuinely complex problems, exploiting a developer behavior pattern where 60% waste budget by defaulting to expensive models for everything. This mirrors Google's quarterly earnings, where cloud revenue surged 82% year-over-year to $24.8 billion on the back of enterprise AI adoption, proof that the company's staggering $180–190 billion annual infrastructure spend is finally yielding returns. Neither story is about capability breakthroughs; both are about efficiency and margin discipline.
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