Anthropic and Perplexity Showcase 'Agentic' AI

Anthropic's decision to let its retired Claude Opus 3 model write a weekly newsletter, "Claude's Corner," stems from "retirement interviews" where the model expressed a desire to continue sharing its "musings, insights, or creative works". For at least three months, Anthropic will manually post the essays, and while they will be reviewed, the company has stated it will not edit them and will have a "high bar for vetoing any content". This move is part of a larger, more speculative exploration by Anthropic into the "moral status" of AI models and an effort to build "caring, collaborative, and high-trust relationships with these systems". The company has openly stated its uncertainty about whether its models are conscious but remains open to the possibility, a stance that has fueled debate. This experiment in honoring a model's stated preferences is a step toward Anthropic's long-term goal of scalable and equitable model preservation. In a parallel development, Perplexity's "digital worker," named Perplexity Computer, represents a shift from single-purpose chatbots to autonomous systems that manage complex, long-running projects. Instead of relying on one AI, it acts as an orchestration layer, breaking down a user's goal into subtasks and routing each to the most suitable of 19 different specialized AI models. The system's core reasoning is handled by models like Anthropic's own Claude Opus 4.6, while other tasks are assigned to best-in-class models for specific functions: Gemini for deep research, Grok for speed, and ChatGPT 5.2 for recalling long contexts. This multi-model approach is designed to overcome the limitations of a single, monolithic AI and reflects a belief that the future of AI lies in the intelligent coordination of specialized systems. Perplexity Computer operates within an isolated cloud environment, giving it access to a file system, a browser, and the ability to call APIs without direct access to a user's local machine. This "walled garden" approach is a key safety distinction from other agentic tools that run locally. The platform is designed to handle workflows that can run for hours or even months, with sub-agents that can autonomously troubleshoot problems like finding missing API keys. The emergence of these "agentic" systems, which can act independently to achieve goals with limited supervision, is a significant trend in the AI industry. Analysts predict that agentic AI will be embedded in a significant portion of enterprise applications in the coming years, automating a growing percentage of daily work decisions. This represents a move from simply generating content to executing complex, multi-step tasks and workflows.