🤖 AI Summary
Perplexityが新規サービス「Computer」を発表しました。これはユーザーに特定の成果物を達成させ、必要なタスクを複数のAIエージェントに割り当てて実行させるシステムです。現在、Perplexity Maxサブスクリーバー向けで利用可能で、「全体的なワークフローを作成し、実行する」という特徴を持っています。
ユーザーは「自分のレストラン向けローカルデジタルマーケティングキャンペーンを企画・実行する」や「特定の仕事に役立つAndroidアプリを開発する」など、具体的な目標を設定します。Computerはこれらの目標からサブタスクを作り出し、最適なモデルを選んで割り当てます。主力の推理エンジンはAnthropicのClaude Opus 4.6で、Geminiは深い研究のために、Nano Bananaは画像生成、Veo 3.1はビデオ制作、Grokは迅速性が必要な簡単なタスクに、ChatGPT 5.2は「長い文脈での検索」として使用されます。
Perplexity Computerと競合する製品（例：Claude Cowork）とは異なり、複数のモデルを最適化して特定のタスクに適用します。すべてはクラウド上で行われ、事前設定された統合ツールが利用可能です。各タスクは孤立したコンピューターエンビonメントで実行され、リアルなファイルシステムやブラウザへのアクセスが可能です。
Perplexity Computerは既存の高度なユーザーが実践していたワークフローを広範に提供することを目指しています。また、OpenClawという前駆者の存在もあります。
joshuark shares a report from Ars Technica: Perplexity has introduced "Computer," a new tool that allows users to assign tasks and see them carried out by a system that coordinates multiple agents running various models. The company claims that Computer, currently available to Perplexity Max subscribers, is "a system that creates and executes entire workflows" and "capable of running for hours or even months."
The idea is that the user describes a specific outcome -- something like "plan and execute a local digital marketing campaign for my restaurant" or "build me an Android app that helps me do a specific kind of research for my job." Computer then ideates subtasks and assigns them to multiple agents as needed, running the models Perplexity deems best for those tasks. The core reasoning engine currently runs Anthropic's Claude Opus 4.6, while Gemini is used for deep research, Nano Banana for image generation, Veo 3.1 for video production, Grok for lightweight tasks where speed is a consideration, and ChatGPT 5.2 for "long-context recall and wide search."
This kind of best-model-for-the-task approach differs from some competing products like Claude Cowork, which only uses Anthropic's models. All this happens in the cloud, with prebuilt integrations. "Every task runs in an isolated compute environment with access to a real filesystem, a real browser, and real tool integrations," Perplexity says. The idea is partly that this workflow was what some power users were already doing, and this aims to make that possible for a wider range of people who don't want to deal with all that setup.
People were already using multiple models and tailoring them to specific tasks based on perceived capabilities, while, for example, using MCP (Model Context Protocol) to give those models access to data and applications on their local machines. Perplexity Computer takes a different approach, but the goal is the same: have AI agents running tailor-picked models to perform tasks involving your own files, services, and applications. Then there is OpenClaw, which you could perceive as the immediate predecessor to this concept.
Read more of this story at Slashdot.
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