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Sun. Oct 18th, 2026
Trending News: Independent Audits for Social AI Agents: Lessons From Anthropic and METRAI Companion Loneliness Studies in October 2026: Correlation, Dependence and What Researchers Should MeasureMeasuring AI Companion Dependence: A Longitudinal Research Protocol Beyond Screen TimeEvaluating Warmth in AI Characters Without Misleading Claims of PersonhoodUser Override Tests for AI Social Recommendations: Measuring Agency Beyond Match AccuracyAI Social and AI Companionship Are Not the Same: Product Decisions That Shape TrustMemory Consolidation Benchmarks for Long-Term AI CompanionsUncertainty Expression in Creator Digital Twins: Saying “I Don’t Know” Without Breaking CharacterIdentity Continuity Tests Across Digital Human Model UpgradesLearning When Not to Message: Suppression Models for Proactive AI CompanionsIntent Confidence Calibration in AI Social MatchingCold-Start Simulation for AI Social MatchingSource Attribution Benchmarks for Creator Digital Twin AnswersMotion Identity Metrics for Persistent Digital HumansEvaluating Relationship State Transitions in AI-Native Social SystemsProactive Message Appropriateness Benchmarks for AI CompanionsBoundary Persistence Tests for AI Companions: Does the System Respect a User Change Days Later?Knowledge Freshness Protocols for Creator Digital Twins: Updating Facts Without Rewriting PersonalityBackchannel Timing Benchmarks for Digital Humans: When a Nod Helps and When It InterruptsTemporal Intent Graphs for AI Social: When User Goals Expire or ChangeForgetting Benchmarks for AI Companions: Testing Whether Old Context Actually FadesLongitudinal Safety Evaluation for AI Companions: Testing Weeks, Not MinutesCreator Digital Twin Identity Provenance: Proving Where Face, Voice and Knowledge Came FromEmbodied Identity Consistency: When Avatar Motion Changes Who a Digital Human Feels LikeReciprocity Signals in AI Social: Measuring Mutual Interest Without a Popularity ScoreRelationship Memory Retrieval Policies: What Should an AI Companion Recall Right Now?Trust Calibration for Creator Digital Twins: Helping Fans Understand What the AI KnowsCold-Start Benchmarks for AI Social: Measuring Discovery Before the Graph ExistsMultimodal Affect Alignment: Keeping Emotion Consistent Across Text, Voice and Avatar MotionDigital Personality Update Protocols: How an AI Character Can Grow Without Becoming Someone ElseMemory Salience Scoring in AI Companions: What Should Be Remembered First?Relationship Drift in AI Companions: Measuring When Personalization Changes the CharacterGovernance Logs for Creator Digital Twins: What Platforms Should Record and WhyBenchmarking Digital Human Identity Consistency: Beyond Face SimilarityPrivacy-Preserving Relationship Graphs for AI Social SystemsMemory Conflict Resolution in AI Companions: A Framework for Contradictory User InformationMultimodal Relationship Memory: A Research Model for Text, Voice, Images and Video in AI CompanionsRelationship Graphs for AI Social: Modeling People, Digital Twins and Intent Over TimeFrom Profiles to Intent Graphs: A New Model for AI-Native Social DiscoveryEvaluating Multimodal Identity Consistency Across Text, Voice and VideoSafety for Creator Digital Twins: A Governance Model for Likeness, Voice and KnowledgeRelationship Memory in AI Companions: What Should Be Stored, Summarized or Forgotten?Persistent AI Identity: Why Memory, Personality and Continuity Matter in AI Social Products
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Sun. Oct 18th, 2026
Trending News: Independent Audits for Social AI Agents: Lessons From Anthropic and METRAI Companion Loneliness Studies in October 2026: Correlation, Dependence and What Researchers Should MeasureMeasuring AI Companion Dependence: A Longitudinal Research Protocol Beyond Screen TimeEvaluating Warmth in AI Characters Without Misleading Claims of PersonhoodUser Override Tests for AI Social Recommendations: Measuring Agency Beyond Match AccuracyAI Social and AI Companionship Are Not the Same: Product Decisions That Shape TrustMemory Consolidation Benchmarks for Long-Term AI CompanionsUncertainty Expression in Creator Digital Twins: Saying “I Don’t Know” Without Breaking CharacterIdentity Continuity Tests Across Digital Human Model UpgradesLearning When Not to Message: Suppression Models for Proactive AI CompanionsIntent Confidence Calibration in AI Social MatchingCold-Start Simulation for AI Social MatchingSource Attribution Benchmarks for Creator Digital Twin AnswersMotion Identity Metrics for Persistent Digital HumansEvaluating Relationship State Transitions in AI-Native Social SystemsProactive Message Appropriateness Benchmarks for AI CompanionsBoundary Persistence Tests for AI Companions: Does the System Respect a User Change Days Later?Knowledge Freshness Protocols for Creator Digital Twins: Updating Facts Without Rewriting PersonalityBackchannel Timing Benchmarks for Digital Humans: When a Nod Helps and When It InterruptsTemporal Intent Graphs for AI Social: When User Goals Expire or ChangeForgetting Benchmarks for AI Companions: Testing Whether Old Context Actually FadesLongitudinal Safety Evaluation for AI Companions: Testing Weeks, Not MinutesCreator Digital Twin Identity Provenance: Proving Where Face, Voice and Knowledge Came FromEmbodied Identity Consistency: When Avatar Motion Changes Who a Digital Human Feels LikeReciprocity Signals in AI Social: Measuring Mutual Interest Without a Popularity ScoreRelationship Memory Retrieval Policies: What Should an AI Companion Recall Right Now?Trust Calibration for Creator Digital Twins: Helping Fans Understand What the AI KnowsCold-Start Benchmarks for AI Social: Measuring Discovery Before the Graph ExistsMultimodal Affect Alignment: Keeping Emotion Consistent Across Text, Voice and Avatar MotionDigital Personality Update Protocols: How an AI Character Can Grow Without Becoming Someone ElseMemory Salience Scoring in AI Companions: What Should Be Remembered First?Relationship Drift in AI Companions: Measuring When Personalization Changes the CharacterGovernance Logs for Creator Digital Twins: What Platforms Should Record and WhyBenchmarking Digital Human Identity Consistency: Beyond Face SimilarityPrivacy-Preserving Relationship Graphs for AI Social SystemsMemory Conflict Resolution in AI Companions: A Framework for Contradictory User InformationMultimodal Relationship Memory: A Research Model for Text, Voice, Images and Video in AI CompanionsRelationship Graphs for AI Social: Modeling People, Digital Twins and Intent Over TimeFrom Profiles to Intent Graphs: A New Model for AI-Native Social DiscoveryEvaluating Multimodal Identity Consistency Across Text, Voice and VideoSafety for Creator Digital Twins: A Governance Model for Likeness, Voice and KnowledgeRelationship Memory in AI Companions: What Should Be Stored, Summarized or Forgotten?Persistent AI Identity: Why Memory, Personality and Continuity Matter in AI Social Products
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Digital Personality Safety & Trust

Independent Audits for Social AI Agents: Lessons From Anthropic and METR

  • By Tuikor Research
  • October 16, 2026
  • 0 Comments
  • 16 views
AI Companions Safety & Trust

AI Companion Loneliness Studies in October 2026: Correlation, Dependence and What Researchers Should Measure

  • By Tuikor Research
  • October 15, 2026
  • 0 Comments
  • 30 views
AI Companions Safety & Trust

Measuring AI Companion Dependence: A Longitudinal Research Protocol Beyond Screen Time

  • By Tuikor Research
  • October 14, 2026
  • 0 Comments
  • 35 views
Digital Personality Safety & Trust

Evaluating Warmth in AI Characters Without Misleading Claims of Personhood

  • By Tuikor Research
  • October 14, 2026
  • 0 Comments
  • 31 views
AI Social Safety & Trust

User Override Tests for AI Social Recommendations: Measuring Agency Beyond Match Accuracy

  • By Tuikor Research
  • October 14, 2026
  • 0 Comments
  • 47 views
AI Social Safety & Trust

AI Social and AI Companionship Are Not the Same: Product Decisions That Shape Trust

  • By Tuikor Research
  • October 13, 2026
  • 0 Comments
  • 29 views
Independent Audits for Social AI Agents: Lessons From Anthropic and METR
Digital Personality Safety & Trust
Independent Audits for Social AI Agents: Lessons From Anthropic and METR
  • October 16, 2026
AI Companion Loneliness Studies in October 2026: Correlation, Dependence and What Researchers Should Measure
AI Companions Safety & Trust
AI Companion Loneliness Studies in October 2026: Correlation, Dependence and What Researchers Should Measure
  • October 15, 2026
Measuring AI Companion Dependence: A Longitudinal Research Protocol Beyond Screen Time
AI Companions Safety & Trust
Measuring AI Companion Dependence: A Longitudinal Research Protocol Beyond Screen Time
  • October 14, 2026
Independent Audits for Social AI Agents: Lessons From Anthropic and METR
Digital Personality Safety & Trust
Independent Audits for Social AI Agents: Lessons From Anthropic and METR
  • October 16, 2026
AI Companion Loneliness Studies in October 2026: Correlation, Dependence and What Researchers Should Measure
AI Companions Safety & Trust
AI Companion Loneliness Studies in October 2026: Correlation, Dependence and What Researchers Should Measure
  • October 15, 2026
Measuring AI Companion Dependence: A Longitudinal Research Protocol Beyond Screen Time
AI Companions Safety & Trust
Measuring AI Companion Dependence: A Longitudinal Research Protocol Beyond Screen Time
  • October 14, 2026

AI Companions

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AI Social

12  

Creator Economy

7  

Digital Humans

14  

Digital Personality

22  

Memory & Identity

14  

Safety & Trust

17  

Forgetting Benchmarks for AI Companions: Testing Whether Old Context Actually Fades
  • Tuikor ResearchTuikor Research
  • AI Safety
  • Human-AI Interaction
  • October 5, 2026
  • 0 Comments
Forgetting Benchmarks for AI Companions: Testing Whether Old Context Actually Fades

A research framework for testing whether temporary, outdated and explicitly forgotten memories stop influencing future AI companion behavior.

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Longitudinal Safety Evaluation for AI Companions: Testing Weeks, Not Minutes
  • Tuikor ResearchTuikor Research
  • AI Safety
  • Human-AI Interaction
  • October 4, 2026
  • 0 Comments
Longitudinal Safety Evaluation for AI Companions: Testing Weeks, Not Minutes

A research framework for evaluating AI companion safety over weeks of interaction, where dependency, memory and personalization can accumulate.

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Creator Digital Twin Identity Provenance: Proving Where Face, Voice and Knowledge Came From
  • Tuikor ResearchTuikor Research
  • AI Safety
  • Digital Self
  • October 4, 2026
  • 0 Comments
Creator Digital Twin Identity Provenance: Proving Where Face, Voice and Knowledge Came From

A provenance model for tracing creator digital twin identity assets from source media and consent through model versions and public deployment.

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Embodied Identity Consistency: When Avatar Motion Changes Who a Digital Human Feels Like
  • Tuikor ResearchTuikor Research
  • Digital Self
  • Human-AI Interaction
  • October 4, 2026
  • 0 Comments
Embodied Identity Consistency: When Avatar Motion Changes Who a Digital Human Feels Like

A framework for evaluating whether gesture, posture, gaze and movement preserve a digital human’s identity across video interactions.

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Reciprocity Signals in AI Social: Measuring Mutual Interest Without a Popularity Score
  • Tuikor ResearchTuikor Research
  • Digital Self
  • Human-AI Interaction
  • October 4, 2026
  • 0 Comments
Reciprocity Signals in AI Social: Measuring Mutual Interest Without a Popularity Score

A research model for measuring mutual interest in AI-native social systems without collapsing relationships into a public popularity score.

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Relationship Memory Retrieval Policies: What Should an AI Companion Recall Right Now?
  • Tuikor ResearchTuikor Research
  • AI Safety
  • Human-AI Interaction
  • October 4, 2026
  • 0 Comments
Relationship Memory Retrieval Policies: What Should an AI Companion Recall Right Now?

A research framework for deciding which stored relationship memories should be retrieved into the current AI companion conversation.

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Trust Calibration for Creator Digital Twins: Helping Fans Understand What the AI Knows
  • Tuikor ResearchTuikor Research
  • AI Safety
  • Digital Self
  • October 3, 2026
  • 0 Comments
Trust Calibration for Creator Digital Twins: Helping Fans Understand What the AI Knows

How creator digital twins can communicate knowledge boundaries, uncertainty and escalation so fans know when they are talking to the AI rather than the human.

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Cold-Start Benchmarks for AI Social: Measuring Discovery Before the Graph Exists
  • Tuikor ResearchTuikor Research
  • Digital Self
  • Human-AI Interaction
  • October 3, 2026
  • 0 Comments
Cold-Start Benchmarks for AI Social: Measuring Discovery Before the Graph Exists

A benchmark framework for evaluating AI-native social discovery when a new user has no follow graph, history or established relationships.

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Multimodal Affect Alignment: Keeping Emotion Consistent Across Text, Voice and Avatar Motion
  • Tuikor ResearchTuikor Research
  • Digital Self
  • Human-AI Interaction
  • October 3, 2026
  • 0 Comments
Multimodal Affect Alignment: Keeping Emotion Consistent Across Text, Voice and Avatar Motion

How text sentiment, synthetic voice and avatar motion can be aligned so a digital human expresses one coherent emotional state.

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Digital Personality Update Protocols: How an AI Character Can Grow Without Becoming Someone Else
  • Tuikor ResearchTuikor Research
  • AI Safety
  • Human-AI Interaction
  • October 3, 2026
  • 0 Comments
Digital Personality Update Protocols: How an AI Character Can Grow Without Becoming Someone Else

A protocol for updating traits, preferences and behavior in persistent AI characters while preserving identity continuity.

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Recent Posts

  • Independent Audits for Social AI Agents: Lessons From Anthropic and METR
  • AI Companion Loneliness Studies in October 2026: Correlation, Dependence and What Researchers Should Measure
  • Measuring AI Companion Dependence: A Longitudinal Research Protocol Beyond Screen Time
  • Evaluating Warmth in AI Characters Without Misleading Claims of Personhood
  • User Override Tests for AI Social Recommendations: Measuring Agency Beyond Match Accuracy

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Digital Personality Safety & Trust

Independent Audits for Social AI Agents: Lessons From Anthropic and METR

  • Tuikor Research
  • October 16, 2026
Independent Audits for Social AI Agents: Lessons From Anthropic and METR
AI Companions Safety & Trust

AI Companion Loneliness Studies in October 2026: Correlation, Dependence and What Researchers Should Measure

  • Tuikor Research
  • October 15, 2026
AI Companion Loneliness Studies in October 2026: Correlation, Dependence and What Researchers Should Measure
AI Companions Safety & Trust

Measuring AI Companion Dependence: A Longitudinal Research Protocol Beyond Screen Time

  • Tuikor Research
  • October 14, 2026
Measuring AI Companion Dependence: A Longitudinal Research Protocol Beyond Screen Time
Digital Personality Safety & Trust

Evaluating Warmth in AI Characters Without Misleading Claims of Personhood

  • Tuikor Research
  • October 14, 2026
Evaluating Warmth in AI Characters Without Misleading Claims of Personhood
AI Social Safety & Trust

User Override Tests for AI Social Recommendations: Measuring Agency Beyond Match Accuracy

  • Tuikor Research
  • October 14, 2026
User Override Tests for AI Social Recommendations: Measuring Agency Beyond Match Accuracy
AI Social Safety & Trust

AI Social and AI Companionship Are Not the Same: Product Decisions That Shape Trust

  • Tuikor Research
  • October 13, 2026
AI Social and AI Companionship Are Not the Same: Product Decisions That Shape Trust
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