Every enterprise will have its own model-harness-sandbox-eval flywheel with token value per watt optimization. This is the future. Simple reason: tacit knowledge about the domain and customers and their workflows that the company uniquely understands and has built trust around.
@aravsrinivas
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Multi-trillion-parameter open-source models coming soon to lower token pricing via Jevons paradox
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Also, other multi-trillion-parameter open-source models are landing soon, from what I hear. It's going to be awesome for token pricing and riding the Jevons paradox.
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Brain: Self-improving context graph for stateful Computer tasks
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We're rolling out Brain: a self-improving context-graph of all your sessions, connectors, and files. Brain updates itself overnight with fresh context proactively, and feeds itself to every task on Computer, allowing Computer to be stateful and self-improving. Available to all x.com/perplexity_ai/…
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Context Graphs: Best Way for Businesses to Deploy Agentic Harnesses
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Context graphs will be the best way for businesses to enable and deploy agentic harnesses. There's a lot of context fragmentation across so many different tools in every company. A god-mode view that self-improves and self-organizes is the way tacit knowledge can be captured.
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Perplexity Computer adds Deep Research as native skill
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Perplexity Computer is an agent harness that just keeps delivering. Deep Research is now a native skill inside Computer (you don’t have to explicitly think of using it as a standalone mode anymore as long as you’re using Computer), furthering the state of the art significantly
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Claude Fable 5 as orchestrator model for long agentic workflows
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You can use Claude Fable 5 as the orchestrator model inside Computer. Available to all Pro and Max users! It’s really really good for long running agentic workflows. https://t.co/c6uPF0dpZv
— Aravind Srinivas (@AravSrinivas) 10 juin 2026You can use Claude Fable 5 as the orchestrator model inside Computer. Available to all Pro and Max users! It’s really really good for long running agentic workflows.
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Harvard collaboration study of Perplexity Computer shows efficiency and autonomy
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We're sharing a comprehensive study of Perplexity Computer in real-world deployment in collaboration with Harvard Computer is more cost and time-efficient, unlocks cross-disciplinary search beyond the reach of multi-step search, and provides higher autonomy and quality in the
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Supporting America’s future: $25M in computer credits for small businesses
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The future of America is small businesses that can build faster than ever before with agents. Glad to support this with up to $25m in Computer credits ahead of America’s 250th anniversary
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Perplexity Computer Adds Local Models
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We’re brining local models that can run on your personal hardware inside Perplexity Computer. This will take advantage of the local hardware while giving you the privacy and token efficiency per watt, as well as access to the frontier models on the server side GPUs when… https://t.co/CZY1M64AiK
— Aravind Srinivas (@AravSrinivas) 2 juin 2026We're bringing local models that can run on your personal hardware inside Perplexity Computer. This will take advantage of your local hardware while giving you privacy, token efficiency per watt, as well as access to frontier models on server-side GPUs when needed.
