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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
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  • 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  

Memory Salience Scoring in AI Companions: What Should Be Remembered First?
  • Tuikor ResearchTuikor Research
  • AI Safety
  • Human-AI Interaction
  • October 3, 2026
  • 0 Comments
Memory Salience Scoring in AI Companions: What Should Be Remembered First?

A research framework for ranking relationship memories by importance, confidence, recency and emotional relevance.

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Relationship Drift in AI Companions: Measuring When Personalization Changes the Character
  • Tuikor ResearchTuikor Research
  • AI Safety
  • Human-AI Interaction
  • October 2, 2026
  • 0 Comments
Relationship Drift in AI Companions: Measuring When Personalization Changes the Character

How researchers can distinguish healthy adaptation from personality drift as AI companions personalize over long-term relationships.

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Governance Logs for Creator Digital Twins: What Platforms Should Record and Why
  • Tuikor ResearchTuikor Research
  • AI Safety
  • Digital Self
  • October 2, 2026
  • 0 Comments
Governance Logs for Creator Digital Twins: What Platforms Should Record and Why

A research-oriented model for logging creator approvals, model versions, policy changes and consequential digital-twin actions.

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Benchmarking Digital Human Identity Consistency: Beyond Face Similarity
  • Tuikor ResearchTuikor Research
  • Digital Self
  • Human-AI Interaction
  • October 2, 2026
  • 0 Comments
Benchmarking Digital Human Identity Consistency: Beyond Face Similarity

A multidimensional benchmark for evaluating whether a digital human remains the same identity across appearance, voice, personality and behavior.

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Privacy-Preserving Relationship Graphs for AI Social Systems
  • Tuikor ResearchTuikor Research
  • Digital Self
  • Human-AI Interaction
  • October 2, 2026
  • 0 Comments
Privacy-Preserving Relationship Graphs for AI Social Systems

How AI social systems can model relationship strength and intent without exposing private conversations or creating invasive social graphs.

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Memory Conflict Resolution in AI Companions: A Framework for Contradictory User Information
  • Tuikor ResearchTuikor Research
  • AI Safety
  • Human-AI Interaction
  • October 2, 2026
  • 0 Comments
Memory Conflict Resolution in AI Companions: A Framework for Contradictory User Information

A research framework for resolving contradictory memories using source confidence, recency, explicit correction and user control.

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Multimodal Relationship Memory: A Research Model for Text, Voice, Images and Video in AI Companions
  • Tuikor ResearchTuikor Research
  • AI Safety
  • Human-AI Interaction
  • October 1, 2026
  • 0 Comments
Multimodal Relationship Memory: A Research Model for Text, Voice, Images and Video in AI Companions

A research model for relationship memory that combines text, voice, images and video while separating durable facts, episodic events, emotional cues and privacy-sensitive media.

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Relationship Graphs for AI Social: Modeling People, Digital Twins and Intent Over Time
  • Tuikor ResearchTuikor Research
  • Digital Self
  • Human-AI Interaction
  • October 1, 2026
  • 0 Comments
Relationship Graphs for AI Social: Modeling People, Digital Twins and Intent Over Time

A research framework for AI social relationship graphs that represent people, digital twins, changing intent, interaction history and consent without reducing connection to a single compatibility score.

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From Profiles to Intent Graphs: A New Model for AI-Native Social Discovery
  • Tuikor ResearchTuikor Research
  • Digital Self
  • Human-AI Interaction
  • September 30, 2026
  • 0 Comments
From Profiles to Intent Graphs: A New Model for AI-Native Social Discovery

Traditional social discovery matches static profiles. AI-native systems can instead model current intent, context and conversational signals to build a dynamic intent graph.

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Evaluating Multimodal Identity Consistency Across Text, Voice and Video
  • Tuikor ResearchTuikor Research
  • Digital Self
  • Human-AI Interaction
  • September 30, 2026
  • 0 Comments
Evaluating Multimodal Identity Consistency Across Text, Voice and Video

A digital human can look consistent while feeling inconsistent. This framework evaluates whether text, voice, facial behavior and visual style express the same underlying identity.

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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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