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Computer now lets you set each connector tool to Allow, Always Ask, or Deny.
Approve one action or allow the tool for the rest of the thread. Recurring runs will follow that thread’s approvals.
Available now on web for all Computer users.
Approve one action or allow the tool for the rest of the thread. Recurring runs will follow that thread’s approvals.
Available now on web for all Computer users.
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Computer now works in email.
Send, forward, or cc computer@perplexity.com on any thread.
Every email task runs as a normal session in Computer, viewable on web and mobile, with the same audit trail as any task in the app.
Send, forward, or cc computer@perplexity.com on any thread.
Every email task runs as a normal session in Computer, viewable on web and mobile, with the same audit trail as any task in the app.
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Today we’re launching Portable Computer on NVIDIA DGX Spark.
Portable Computer is a fully local version of Perplexity Computer, where the entire runtime: orchestrator LLM, subagent LLM, agent harness all run on your local hardware. No cloud dependency.
Portable Computer is a fully local version of Perplexity Computer, where the entire runtime: orchestrator LLM, subagent LLM, agent harness all run on your local hardware. No cloud dependency.
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Introducing hybrid compute in Perplexity Computer.
Computer can start a task in the cloud, then move to a local model that runs on your Mac. Use it for steps involving private files or sensitive data.
Available today in the Perplexity Mac app.
Computer can start a task in the cloud, then move to a local model that runs on your Mac. Use it for steps involving private files or sensitive data.
Available today in the Perplexity Mac app.
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Today we’re open-sourcing Lily, the local inference engine we built for hybrid compute in Perplexity Computer.
Lily is specialized for Qwen3.6-35B-A3B on Apple silicon, built so on-device compute doesn’t bottleneck Computer tasks.
Read more:
https://www.perplexity.ai/hub/blog/optimizing-on-device-inference-for-apple-silicon
Lily is specialized for Qwen3.6-35B-A3B on Apple silicon, built so on-device compute doesn’t bottleneck Computer tasks.
Read more:
https://www.perplexity.ai/hub/blog/optimizing-on-device-inference-for-apple-silicon
Perplexity AI
Optimizing On-Device Inference for Apple Silicon
A custom local engine that improves prefill and decode throughput
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GPT-6 Astra is now available in Perplexity Computer for Pro and Max subscribers.
We evaluated GPT-6 Astra on WANDR. It scored 0.682 at $11.98 per task, the highest score of any model we tested.
GPT-6-Astra scored 13.5% higher than Fable 5.1 at 6.1% lower cost, and 27.0% higher than Opus 5 at 3.3% higher cost.
We evaluated GPT-6 Astra on WANDR. It scored 0.682 at $11.98 per task, the highest score of any model we tested.
GPT-6-Astra scored 13.5% higher than Fable 5.1 at 6.1% lower cost, and 27.0% higher than Opus 5 at 3.3% higher cost.
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Websites created with Computer now have desktop and mobile previews.
Use the artifact side pane to switch between views, refresh the preview, edit the site, or leave a comment.
Use the artifact side pane to switch between views, refresh the preview, edit the site, or leave a comment.
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We're introducing Q2D-Web (Query2Doc-Web), a benchmark and public leaderboard for evaluating retrieval in agentic RAG systems.
Q2D-Web tests how embedding models perform on large-scale web search using agent-reformulated search queries.
Read more: https://pplx.ai/blog/tq2d-web
Q2D-Web tests how embedding models perform on large-scale web search using agent-reformulated search queries.
Read more: https://pplx.ai/blog/tq2d-web
Perplexity AI
Q2D-Web: Evaluating First-Stage Retrievers at Scale
A benchmark and leaderboard with 70 thousand agent queries, 190 million web documents, and three sets of relevance judgements.
Perplexity has joined the Rust Foundation.
We believe in supporting the people who build reliable open-source software. By joining the Rust Foundation, our goal is to improve how people and agents build with Rust.
SPACE is built in Rust and powers the sandboxes behind Perplexity Computer and the Agent API sandbox tool.
Read more about how we built SPACE: https://pplx.ai/space-blog-tg
We believe in supporting the people who build reliable open-source software. By joining the Rust Foundation, our goal is to improve how people and agents build with Rust.
SPACE is built in Rust and powers the sandboxes behind Perplexity Computer and the Agent API sandbox tool.
Read more about how we built SPACE: https://pplx.ai/space-blog-tg
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Portable Computer is now available on Windows PCs with NVIDIA RTX GPUs.
Run the harness, agents, and models locally on your PC.
Work with local files and connected apps without sending tasks to the cloud. Use frontier cloud models when needed.
Run the harness, agents, and models locally on your PC.
Work with local files and connected apps without sending tasks to the cloud. Use frontier cloud models when needed.
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Perplexity Computer will now come pre-installed on HP ZBook Ultra G3a.
Use Computer to run complex multi-step work from a simple interface. Computer agents are grounded in accurate deep research and connected to hundreds of tools, now including Autodesk.
On supported HP PCs, users can use Portable Computer, our local-first version of Computer, to run tasks entirely on-device with a local model.
Portable Computer keeps private data on your machine without using cloud credits. Read more: https://pplx.ai/hp-windows-tg
Use Computer to run complex multi-step work from a simple interface. Computer agents are grounded in accurate deep research and connected to hundreds of tools, now including Autodesk.
On supported HP PCs, users can use Portable Computer, our local-first version of Computer, to run tasks entirely on-device with a local model.
Portable Computer keeps private data on your machine without using cloud credits. Read more: https://pplx.ai/hp-windows-tg
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A new Perplexity Search SDK cookbook is live.
The recipe fans out focused searches, filters results to official docs, extracts relevant passages, and writes a source-linked brief for your coding agent.
Get started: https://pplx.ai/search-sdk-tg
The recipe fans out focused searches, filters results to official docs, extracts relevant passages, and writes a source-linked brief for your coding agent.
Get started: https://pplx.ai/search-sdk-tg
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We’re rolling out effort controls in Computer’s model selector.
Effort presets combine the orchestrator model and reasoning depth to control how deeply and efficiently Computer works through a task.
Available now on web. Coming to mobile and desktop soon.
Effort presets combine the orchestrator model and reasoning depth to control how deeply and efficiently Computer works through a task.
Available now on web. Coming to mobile and desktop soon.
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