AI Weekly: Perplexity Launches Personal Computer, Nvidia Unveils AI Agent Model
Generative AI is evolving from one-off question answering into agent systems capable of carrying out tasks continuously. Pursuing a vision in which “everything is a computer,” Perplexity has launched Personal Computer, which connects disparate tools and handles cross-platform work on users’ behalf. New projects from Nvidia and Andrej Karpathy also reflect intensifying competition over AI agent infrastructure.
Issue 286 of AI Trends Weekly said Perplexity’s Personal Computer enables AI agents to work around the clock, 24 hours a day. Nvidia concurrently released Nemotron 3 Super, a model designed for agentic tasks, while OpenAI co-founder Andrej Karpathy open-sourced Autoresearch, an automated LLM research framework. No pricing or exact release dates were disclosed.
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The history behind this eventPerplexity Launches All-in-One AI Agent Product Computer
Best known for AI search and Deep Research, Perplexity is positioning Computer as a digital worker that delivers finished results rather than merely answering questions. It can break down objectives and coordinate asynchronous subagents across research, design, coding, deployment and project management. The launch underscores how competition in AI agents is shifting from the capabilities of individual models to the orchestration of multiple models, tools and workflows.
Perplexity launched Computer on February 26, 2026, initially making the web version available to Max subscribers paying $200 a month. It can coordinate 19 models in parallel and includes 10,000 credits a month, plus a one-time bonus of 20,000 credits. On February 25, a user demonstrated an NVIDIA analytics terminal built in one afternoon, prompting discussion about whether it could replace the Bloomberg Terminal, which costs $30,000 a year. Its real-time data capabilities, however, remain less comprehensive.
Perplexity Launches Multi-Model AI System Perplexity Computer
Perplexity AI has launched Perplexity Computer, a system built to orchestrate different models and tools according to the task rather than train a single, maximally large model. It can autonomously break down assignments, retain persistent memory and continuously perform research, design and programming work in the cloud. The approach reflects generative AI’s evolution from chat interfaces into digital workers capable of delivering completed work.
The latest version integrates 19 AI models and follows a model-neutral strategy, assigning work based on cost, speed and capabilities. Perplexity said an enterprise test completed the equivalent of 3.25 years of human work in four weeks. CEO Aravind Srinivas also argued that competition in the industry will shift away from model size toward the value of tokens generated per watt of power.
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