Perplexity introduces Search as Code for AI agents
It writes Python to call the search stack directly, improving latency and cost. Available in the Perplexity Agent API.
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AI-powered answer engine
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In short: Perplexity launched a local Windows agent, introduced a $25M SMB accelerator with the SBA, and faced new copyright litigation from CNN.
It writes Python to call the search stack directly, improving latency and cost. Available in the Perplexity Agent API.
They cut context tokens up to 70% while enhancing answer quality and vital content per snippet by 63%.
It runs tasks across local files, Mac apps, web, and servers autonomously. The old app will deprecate soon.
ROSE serves models from embeddings to trillion-parameter LLMs. CuTeDSL integration builds specialized GPU kernels faster for peak performance on NVIDIA Hopper and Blackwell GPUs.
A Manhattan federal judge on Friday rejected most of Perplexity AI's bid to dismiss a lawsuit brought by Reddit accusing it of violating U.S. copyright...
Perplexity AI integrates Model Council into its Computer platform, enabling multi-model analysis across GPT-5.4, Claude Opus 4.6, and Gemini 3.1...
Perplexity has expanded its agentic Personal Computer tool to Windows, allowing computers running the world's most popular OS to be used as a locally run...
Perplexity CEO Aravind Srinivas tweeted that GLM is a severely undervalued model, demonstrating performance close to Opus-level at a 700B parameter scale while...
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