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Perplexity @perplexity_ai

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Joined December 2022
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Perplexity
 @perplexity_ai
Jun 18
Introducing Brain in Computer. Brain is a continuously learning memory system. Every task on Computer plugs into a context graph built by Brain. It makes Computer more stateful with every run. Available as a research preview for all Perplexity Max subscribers.
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Claude Fable 5 is once again available in Computer as an orchestrator model.
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Claude Sonnet 5 is now available in Perplexity for Pro and Max subscribers. You can also select it as an orchestrator model in Computer.
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Learn more about Computer for Counsel: perplexity.ai/enterprise/use…

Perplexity for Legal

Computer for Counsel

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Introducing Computer for Counsel. Computer now connects the research databases, document tools, and matter-management systems lawyers use every day. Pull citable sources from @midpageAI, @LegalZoom, @Docusign, @netdocuments, and more. Available for all Pro and Max subscribers.
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Every memory links back to the session, file, or source it came from with full transparency and control. You can access Brain and your saved memories under "Customize" in the sidebar. Read more about Brain: perplexity.ai/hub/blog/self-…

Self-improving Memory for Agents

Brain is Perplexity's self-improving memory system for Computer that learns from past work to deliver faster, more accurate results over time.

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With Brain, Computer starts each task with full context of your projects, decisions, and sources instead of from scratch. On tasks that require past context, Brain improves answer correctness by 25%, recall by 16%, and runs 13% cheaper per task.
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Learn more about Deep Research in Computer: perplexity.ai/hub/deep-resea…

Deep Research, Now in Computer | Perplexity

Deep Research in Computer answers hard questions with trusted data, then delivers reports, dashboards, and decks.

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Deep Research in Computer is built on our Search as Code architecture. The model writes code that assembles search itself, running thousands of retrieval steps in parallel, tailored to each question. It outperforms legacy Deep Research on every benchmark.
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We're integrating Deep Research as a native skill inside Computer. It now connects to the agent harness that powers Computer, with access to search as code generation, long running sandboxes, connectors, tools, and licensed data. Available now to Pro and Max subscribers.
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Claude Fable 5 is now available in Computer as an orchestrator model. This is Anthropic's state-of-the-art model for long, complex tasks. Available only to Pro and Max subscribers in Computer.
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Submit your pitch: billionpoundbuild.pplx.app/
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These results show that Computer increases autonomy, improves quality, cuts time and cost, and expands the scope of tasks users can attempt. Read the full paper: arxiv.org/abs/2606.07489

How AI Agents Reshape Knowledge Work: Autonomy, Efficiency, and Scope

Frontier AI systems are bridging the gap between intelligence and utility by shifting from conversational assistants to autonomous agents that execute tasks end to end. Using production data from...

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We found that more autonomy with autonomous agents like Computer tracks with higher quality and satisfaction.
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Computer queries were nearly 3x as likely as Search queries to require expertise across three or more fields, like law, finance, or biology, in a single request. 23% involved work that never showed up in the same users' Search history.
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Per session, Computer runs about 26 minutes of machine work to Search's 33 seconds. It also reaches outside the harness far more, where 7.9% of Computer sessions call an external connector (avg 15 calls per session) versus 1.8% for Search.
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Cumulative Computer queries reached 84x their first-week level by the end of the study. Most of them knowledge work queries. Research and analysis (25.8%) and document and asset creation (18.6%) lead, concentrated in software, finance, and marketing.
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Search is cheap to start but costly per step, since the human runs each one. Computer costs more upfront to delegate and verify, but little per step, since the agent runs the steps. It pays off once a task is long enough to clear that fixed cost, expanding the affordable frontier of work worth attempting.
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To compare the two products, we built 10,000 matched pairs where the same user asked near-identical queries to both Search and Computer, and Computer ran at least one execution tool. We then priced human time using BLS wages.
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We published new research with Harvard on the shift from chat interfaces to autonomous agents like Computer. Over 3 months, findings show workers using Computer finish tasks in 87% less time at 94% lower cost than Search alone, with higher satisfaction. research.perplexity.ai/artic…
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