Perplexity Taps NYU’s Andrew Gordon Wilson for Continual-Learning Agent Research

Perplexity has hired New York University professor Andrew Gordon Wilson to lead research on two hard problems for more persistent AI systems: learning from experience over time and coordinating work among agents. Wilson will continue running his NYU research group alongside the new role.

Wilson announced his appointment on August 24. He said his Perplexity group will focus on continual learning and collaboration between AI agents, with research conducted openly. He also invited researchers working in those areas to contact him, signaling that the group is recruiting.

One role, with an academic group retained

• Wilson will lead research at Perplexity while continuing to run his research group at New York University.
• The stated Perplexity agenda is continual learning and collaboration between AI agents.
• Wilson has said the work will be open and invited prospective researchers to get in touch.

The product context is longer-running work

The appointment follows Perplexity’s move toward agents that can work across longer sessions. In July, the company introduced SPACE, an internal sandbox that lets agents run code, preserve files, and carry out multi-step work over extended sessions. Perplexity said SPACE powers every session in its Computer product and handled millions of sandbox creations in its first week of full deployment; those usage figures are company-reported.

SPACE provides an environment for work that persists beyond a single answer: code can run, files can remain available, and a task can extend through several steps. Wilson’s mandate addresses a separate research layer that becomes more consequential in such settings: how a changing system preserves useful knowledge, transfers it to new tasks, and avoids degrading abilities it already has; and how multiple agents decide whether another agent should handle part of the job.

Wilson has studied the coordination question before

The fit is clearest in Wilson’s recent work on multi-agent orchestration. He co-authored a 2025 paper examining when coordinating multiple agents improves decisions, including decisions about selecting other agents and outsourcing tasks. That is narrower than a product plan, but it directly overlaps with the questions Perplexity has assigned to his group: when agents should work together and when work should move elsewhere.

Perplexity Research already identifies search, reasoning, agents, and systems as its core areas. It is also advertising AI researcher roles in New York City, Palo Alto, and San Francisco. Wilson’s public invitation gives that existing hiring footprint a more specific research focus, while his continued NYU role preserves an active academic base alongside the company position.

The next move is organizational

The hire establishes a research lead and a stated agenda, but not yet the operating scale of the effort. Perplexity has not specified how many researchers Wilson will oversee or identified the first projects the group plans to publish. Those two details will show whether the role becomes a small open-research effort, a larger agent-research organization, or something in between.