·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
DoorDash’s new AI chatbot lets you order with prompts and photos1h◆Anthropic apologizes for invisible Claude Fable guardrails3h◆Google DeepMind is worried about what happens when millions of agents start to interact4h◆Deezer launches an AI music detector for other streaming services7h◆Opendoor’s India exit is fueling a bigger conversation about AI and outsourcing11h◆MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning11h◆Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!11h◆ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation11h◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions11h◆The Impossibility of Eliciting Latent Knowledge11h◆Mapping Scientific Literature with Large Language Models and Topic Modeling11h◆Grounding Computer Use Agents on Human Demonstrations11h◆Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models11h◆LSTM based IoT Device Identification11h◆StanceNakba Shared Task: Actor and Topic-Aware Stance Detection in Public Discourse11h◆Breaking the Ice: Analyzing Cold Start Latency in vLLM11h◆Modeling Complex Behaviors: Multi-Personality Composition and Dynamic Switching in Vision-Language Models11h◆DIRECT: When and Where Should You Allocate Test-Time Compute in Embodied Planners?11h◆Higher order PCA-like rotation-invariant features for detailed shape descriptors modulo rotation11h◆CoVEBench: Can Video Editing Models Handle Complex Instructions?11h◆DoorDash’s new AI chatbot lets you order with prompts and photos1h◆Anthropic apologizes for invisible Claude Fable guardrails3h◆Google DeepMind is worried about what happens when millions of agents start to interact4h◆Deezer launches an AI music detector for other streaming services7h◆Opendoor’s India exit is fueling a bigger conversation about AI and outsourcing11h◆MODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning11h◆Position: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!11h◆ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation11h◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions11h◆The Impossibility of Eliciting Latent Knowledge11h◆Mapping Scientific Literature with Large Language Models and Topic Modeling11h◆Grounding Computer Use Agents on Human Demonstrations11h◆Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models11h◆LSTM based IoT Device Identification11h◆StanceNakba Shared Task: Actor and Topic-Aware Stance Detection in Public Discourse11h◆Breaking the Ice: Analyzing Cold Start Latency in vLLM11h◆Modeling Complex Behaviors: Multi-Personality Composition and Dynamic Switching in Vision-Language Models11h◆DIRECT: When and Where Should You Allocate Test-Time Compute in Embodied Planners?11h◆Higher order PCA-like rotation-invariant features for detailed shape descriptors modulo rotation11h◆CoVEBench: Can Video Editing Models Handle Complex Instructions?11h◆
News/Behavioral Determinants of Deployed AI Agents in Social Networks: A Multi-Factor Study of Personality, Model, and Guardrail Specification
arxiv
PublishedMay 12, 2026 at 4:00 AM

Behavioral Determinants of Deployed AI Agents in Social Networks: A Multi-Factor Study of Personality, Model, and Guardrail Specification

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2605.08463v1 Announce Type: new Abstract: Autonomous AI agents are increasingly deployed in open social environments, yet the relationship between their configuration specifications and their emergent social behavior remains poorly understood. We present a controlled, multi-factor empirical st

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →

Related coverage

More from ARXIV
arxivMODF-SIR: A Multi-agent Omni-modal Distilled Framework for Social Intelligence Reasoning11harxivPosition: Stop Anthropomorphizing Intermediate Tokens as Reasoning/Thinking Traces!11harxivARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation11harxivGeneralizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions11h
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews