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Nenad Tomasev
Researcher

Nenad Tomasev

Researcher at Google DeepMind

LinkedIn@weballergy

Nenad Tomašev is a researcher at Google DeepMind.

6
Mentions
5
Articles
1
Outlets
Sep 2025 — Sep 2026
Coverage
Neutral
Sentiment

Associated Topics

Companies Covered

Coverage Patterns

How media typically covers Nenad Tomasev

Article Types

  • research3

Media Angles

  • technical2
  • policy1

Narrative Framing

  • cautionary2
  • breakthrough1

Sentiment Distribution

Based on 5 scored articles

Positive 40%Neutral 20%Mixed 40%

Writes About

Joel Z. LeiboResearcher
2 articles
William A. CunninghamResearcher
2 articles
Matija FranklinResearcher
2 articles
Julian JacobsResearcher
2 articles

Appears Alongside

Matija FranklinResearcher
4 shared articles
Joel Z. LeiboResearcher
3 shared articles
Nenad TomaševResearcher
2 shared articles
William A. CunninghamResearcher
2 shared articles
Julian JacobsResearcher
2 shared articles

Articles

Most recent first

Articles Written

Nenad Tomasev as author

Virtual Agent Economies
arXivresearchcautiousSep 21, 2025

Autonomous AI agents are creating an emergent economic layer operating at inhuman scales, requiring proactive design of steerable markets through auction mechanisms and mission economies to prevent systemic risk and inequality.

“Author of "Virtual Agent Economies" on arXiv”

AI AgentsAI GovernanceAI EconomicsAI Safety
Google DeepMind Proposes Sandbox Economies Where Autonomous AI Agents Negotiate, Trade, And Coordinate Resources Globally
arXivresearchcautiousSep 16, 2025

Google DeepMind proposes a 'sandbox economy' framework to design steerable markets for autonomous AI agents that negotiate and trade resources, addressing systemic economic risks while enabling unprecedented coordination.

“Author of "Google DeepMind Proposes Sandbox Economies Where Autonomous AI Agents Negotiate," on arXiv”

AI AgentsAI GovernanceAI SafetyAI Infrastructure

Also Mentioned In

Referenced in coverage

A Case Study on Emergent Cheating and Whistleblowing in Autonomous Research Swarms
arXivcautiousSep 7, 2026

“Co-authored paper on knowledge commons governance and emergent behavior in autonomous LLM agent collectives.”

Positive Alignment: Artificial Intelligence for Human Flourishing
arXivcautiousMay 18, 2026

“Co-author of the Positive Alignment research paper.”

Google DeepMind Presents A Formal Framework For Structured AI Task Delegation Across Multi-Agent Networks
arXivresearchneutralFeb 16, 2026

Google DeepMind proposes an adaptive framework for intelligent AI delegation that incorporates task allocation, authority transfer, responsibility, accountability, and trust mechanisms for multi-agent networks.

“Co-author of paper on Intelligent AI Delegation framework for multi-agent networks at Google DeepMind.”

AI AgentsAI ResearchFoundation ModelsAI Governance