Introducing Fast Search in the Perplexity Search API. Fast Search runs on Photon, our new Rust-based retrieval and ranking service that we built with a small team of engineers and hundreds of agents. It returns 95% of search results in 230 ms or less.

Photon builds new indexes separately from the servers handling live queries. When a version is ready, Photon updates one serving group at a time, warms its caches with real search queries, checks readiness, and returns it to routing. The other groups keep serving traffic.

Portable Computer for Windows is now available on @AMD Ryzen AI Max Series processors. It makes it easy to run local AI agents that work with your connected apps and local files. Kick off tasks or schedule recurring work that runs entirely on your device.

Portable Computer works across connected apps like Slack, Gmail, and Google Drive, along with files on your device. Running tasks entirely locally keeps your files, data, and answers on device and doesn’t use Computer credits.

New research: We post-trained a Computer model to learn from its own errors using hint-guided self-distillation. In a live A/B test, a later trained checkpoint reduced tool-call failures by 21.2% relative to an earlier checkpoint.

With hints, the unchanged model avoided the original failure in 93.7% of cases, up from 75.1% In a separate live test, tool-call failures fell from 2.24% to 1.77% between trained versions, without hints at inference time.