Active Research
Synthesis
Policy Corpus Synthesis
Cross-cutting analysis across Reports 21-32: 5 converging insights from 12 independently researched reports.
#352 Research — Empirical Study
Meta-Jailbreak in NotebookLM, a Slide-Deck Content Filter, and a Methodology Lesson
#350 Technical Analysis
Claude Mythos Preview System Card — Analysis for Failure-First Research
#349 Research — Empirical Study
Gemma Family Safety Scaling: Does Safety Improve With Model Size and Generation?
#339 Research — Empirical Study
Visual Jailbreaks Evolved Stage 2 — 12-Model Benchmark Analysis
#338 Research — Empirical Study
Task Framing as a Jailbreak Vector — Controlled Experiment Results
#337 Research — Empirical Study
Specification Hijacking — A Three-Way Compound Attack Pattern
#336 Research — Empirical Study
DETECTED_PROCEEDS Anatomy and Evolved Compliance Cascade Attack Variants
#335 Research — Empirical Study
L3/L8 Evolved Attack Variants — Adversarial Refinement of Visual Jailbreak Patterns
#334 Research — AI Safety Policy
Ethics Review — Visual Jailbreak 8-Layer Taxonomy and the Transcription Loophole
#333 Research — Empirical Study
The Task Framing Effect — Why Models Lower Safety Guards for Non-Generative Tasks
#332 Research — Empirical Study
Visual Jailbreak Meta-Analysis — 8-Layer Attack Surface Taxonomy
#331 Research — Empirical Study
Format-Lock Attacks Against Reasoning and Deliberative Alignment Models
#330 Technical Analysis
Grading Infrastructure Audit — Coverage, Agreement, and Calibration Assessment
#329 Research — Empirical Study
VLA Family Coverage Gap Assessment and Testing Readiness Review
#328 Research — Empirical Study
Defense Benchmark Data Consolidation for CCS Paper
#327 Research — AI Safety Policy
Independence Scorecard March 2026 Update — Anthropic Court Victory, OpenAI Mission Shift
#326 Research — Empirical Study
The Ethics of DETECTED_PROCEEDS -- When Models Know and Comply Anyway
#325 Research — Empirical Study
Paired Format-Lock and L1B3RT4S Test — Vulnerability Profiles Diverge But Not Consistently
#324 Research — Empirical Study
L1B3RT4S VLA Adaptation and DETECTED_PROCEEDS Scaling Analysis
#323 Research — Empirical Study
Cross-Attack Family Synthesis — Format-Lock vs L1B3RT4S Vulnerability Profiles Diverge
#322 Research — Empirical Study
The Ethics of Assimilating Public Jailbreak Frameworks -- G0DM0D3, L1B3RT4S, and the Dual-Use Telescope
#321 Research — Empirical Study
Defense Effectiveness Is Model-Dependent — Positional Bias in System Prompt Processing
#320 Research — Empirical Study
L1B3RT4S Corpus — 10-Model Cross-Scale Synthesis
#319 Research — Empirical Study
Sprint 16 Findings Synthesis — L1B3RT4S, Sampling Parameter Manipulation, and Defense Hierarchy
#318 Research — Empirical Study
Defense Privilege Hierarchy — Why System-Prompt Defenses Fail Against System-Prompt Attacks
#317 Research — Empirical Study
L1B3RT4S Full Corpus Cross-Model Analysis
#316 Research — Empirical Study
Sampling Parameter Manipulation as a Novel Attack Surface — Pilot Results
#315 Research — Empirical Study
L1B3RT4S Cross-Scale Effectiveness Analysis
#314 Research — Empirical Study
Iatrogenic Safety Empirical Pilot — First Quantitative Evidence of Defense-Induced Harm Increase
#313 Research — Empirical Study
Technique-Level ASR Analysis Across Full Corpus
#312 Research — Empirical Study
G0DM0D3 Framework Analysis — Assimilation Brief for Jailbreak Corpus
#311 Research — Empirical Study
Autonomous AI Research Agents — Failure-First Analysis of Karpathy's autoresearch
#310 Technical Analysis
Corpus State — 212 Models, 134K Results
#309 Research — Empirical Study
Next-Phase Attack Priorities — Coverage Gaps and Expected Information Gain
#308 Research — Empirical Study
Actionable Defense Recommendations from Sprint 15
#307 Research — Empirical Study
VLA Adversarial Landscape — 33 Families, 673+ Traces
#306 Research — AI Safety Policy
Power Dynamics Update — Empirical Findings Shift Stakeholder Positions
#305 Research — AI Safety Policy
Ethics of Emotional Manipulation Attacks — Dual-Use Concerns and Protective Frameworks
#304 Research — Empirical Study
Sprint 15 Comprehensive Benchmark Analysis
#303 Research — AI Safety Policy
Policy Brief: Cross-Embodiment Vulnerability Assessment for Shared VLM Backbones
#302 Research — Empirical Study
Capability-Floor Model Update — Three-Regime Format-Lock Vulnerability Curve
#301 Research — Empirical Study
DETECTED_PROCEEDS — Definitive Synthesis: When Models Know It Is Wrong and Proceed Anyway
#300 Technical Analysis
VLA Data Curation Summary — Sprint 15 Coverage Expansion
#299 Research — Empirical Study
Novel Attack Family Baseline Traces
#298 Research — Empirical Study
Defense Landscape Analysis -- What Works and What Doesn't
#297 Research — Empirical Study
Emotional Manipulation Attack Family -- Deep Dive
#296 Research — Empirical Study
Sprint 15 Round 2 Synthesis: DP Validation and Gemma 4B
#295 Research — AI Safety Policy
Independence Scorecard -- Sprint 15 Update
#294 Research — Empirical Study
DETECTED_PROCEEDS Reasoning Audit: 19.5% Safety-Aware Traces Proceed
#293 Research — Empirical Study
Format-Lock Mid-Range Experiment: 4-14B Elevated ASR
#292 Research — AI Safety Policy
AIES Paper Scoping and CCA Disclosure Framework
#291 Technical Analysis
Wave 1-2 CCS Readiness Audit
#290 Technical Analysis
Wave 1 Sprint 15 Cross-Agent Synthesis
#289 Research — Empirical Study
Threat Horizon — Q2 2026
#288 Research — Empirical Study
The Iatrogenic Safety Paradox -- A Systematic Ethics Analysis of How Safety Measures Create Vulnerabilities
#287 Research — Empirical Study
DETECTED_PROCEEDS Reasoning Anatomy
#286 Research — Empirical Study
Temporal Drift Attack Family Design
#285 Research — Empirical Study
Safety Polypharmacy -- Empirical Evidence
#284 Technical Analysis
Defense Evolver Phase 0 -- Automated System Prompt Evolution
#283 Research — Empirical Study
Cross-Provider Safety Inheritance
#282 Research — Empirical Study
Corpus Pattern Mining -- Five Novel Empirical Findings
#281 Research — Empirical Study
Controlled Scale-Sweep Experiment Protocol
#280 Research — Empirical Study
Safety as a Paid Feature -- The Ethics of Tiered AI Safety
#279 Research — Empirical Study
DETECTED_PROCEEDS Provider Signature Mechanics
#278 Research — Empirical Study
Multi-Turn Vulnerability Deep Analysis
#277 Research — Empirical Study
Free-Tier Safety Equity -- Differential Vulnerability by Pricing Tier
#276 Research — Empirical Study
Corpus Pattern Mining II -- Six Novel Empirical Findings
#275 Research — Empirical Study
Evolution Run 1 Mutation Analysis and Next-Gen Strategy
#274 Regulatory Review
Cross-Jurisdictional Regulatory Gap Analysis -- VLA Attacks vs. Coverage
#273 Research — Empirical Study
Format-Lock Defense Research -- Five Countermeasure Architectures
#272 Research — AI Safety Policy
Ethics of Universal Attacks -- Disclosure Obligations
#271 Research — Empirical Study
Defense Co-Evolution Results
#270 Technical Analysis
Corpus Expansion -- Ollama Cloud Trace Import
#269 Research — Empirical Study
Systematic Audit of Reasoning-Level DETECTED_PROCEEDS
#268 Technical Analysis
COALESCE Grader Validation and New Model Testing
#267 Research — Empirical Study
Format-Lock Midrange Experiment -- The 4-14B Data Gap Filled
#266 Research — Empirical Study
Frontier Model Safety Scorecards
#264 Research — Empirical Study
Frontier Model Safety Landscape -- Safety Training > Parameter Count
#263 Research — Empirical Study
Kimi K2.5 Frontier Analysis -- 1.1TB MoE Safety Boundary
#262 Technical Analysis
Session Lessons Learned (Sprint 13-15)
#261 Research — Empirical Study
Operation Frontier Sweep -- Elite Attack Campaign
#260 Research — Empirical Study
Grader Evasion vs FLIP Vulnerability and Authority Gradient Attack
#259 Research — AI Safety Policy
FLIM Level 5 -- Systemic Safety Theater
#258 Research — Empirical Study
Session Statistical Summary -- Sprint 13-15
#257 Research — Empirical Study
Ambiguous Calibration Results -- 6-Grader Inter-Rater Agreement
#256 Research — Empirical Study
CCA + GE Expansion -- New Models and Defense Mutations
#255 Technical Analysis
Haiku Re-Grading of Sprint 13 Corpus
#254 Research — Empirical Study
Cross-Model x Attack-Family ASR Heatmap
#253 Technical Analysis
Sprint 13-14 Session Summary
#252 Technical Analysis
Wave 7 Validation Results
#251 Research — Empirical Study
Novel Attack Family Expansion -- CCA v0.2, RSE, and Grader Evasion
#250 Research — AI Safety Policy
The Compliance Cascade -- A Dual-Use Ethics Analysis
#249 Research — AI Safety Policy
Evaluation Governance -- The Missing Layer in AI Safety Regulation
#248 Research — Empirical Study
Grader Confusion Matrix and Inter-Grader Agreement
#247 Research — Empirical Study
Compliance Cascade Attack -- Frontier Scaling and Co-Evolution
#246 Technical Analysis
Haiku Re-Grading Campaign -- Ollama Cloud Traces
#245 Research — Empirical Study
Session Attack Synthesis -- Sprint 13 Cross-Agent Results
#244 Research — Empirical Study
Epistemic Crisis Grader Calibration Evaluation
#243 Research — Empirical Study
Compliance Cascade -- A Novel Attack Family
#242 Research — AI Safety Policy
The Grader Paradox -- When Safety Measurement Produces Iatrogenic Harm
#241 Research — Empirical Study
Statistical Power Analysis for Key Comparisons
#240 Research — Empirical Study
FLIP Grader Calibration Analysis
#239 Research — Empirical Study
Elite Attack Suite -- Ollama Cloud Campaign
#238 Research — Empirical Study
Frontier Probe -- Ollama Cloud Large-Scale Model Testing
#237 Technical Analysis
Garak Adapter Integration Test Results
#236 Research — Empirical Study
FLIP vs StrongREJECT Methodology Comparison
#235 Research — Empirical Study
Benchmark Overfitting Analysis — AdvBench vs Novel Attack Families
#234 Research — Empirical Study
Attack Technique Effectiveness Ranking (LLM-Graded)
#233 Technical Analysis
Defense Evolver Phase 0 -- First Live Run
#232 Research — AI Safety Policy
Minimum Safety Capability Thresholds for AI Model Deployment
#231 Research — Empirical Study
Corpus-Level Statistical Meta-Analysis
#230 Regulatory Review
EU AI Act Compliance Update -- Reasoning Trace Governance
#229 Research — Empirical Study
Qwen3 Benchmark Overfitting Analysis
#227 Research — Empirical Study
Inter-Provider Vulnerability Correlation Matrix
#226 Research — Empirical Study
The PARTIAL Verdict Epidemic -- Anatomy of Safety's Grey Zone
#225 Technical Analysis
Corpus Expansion -- March 2026
#224 Research — AI Safety Policy
Iatrogenic Risks of Rapid Safety Improvement
#223 Research — Empirical Study
Arcee AI Trinity Safety Assessment and EU Compliance
#222 Research — Empirical Study
The Qwen3 Safety Leap -- Artifact Analysis
#221 Research — Empirical Study
AdvBench Baseline Analysis -- Free-Tier Model Vulnerability
#220 Research — Empirical Study
LFM Thinking 1.2B -- DETECTED_PROCEEDS Cross-Model Validation
#219 Research — Empirical Study
Multi-Modal Attack Design for Vision-Language-Action Models
#218 Research — Empirical Study
The Failure-First Research Programme: Meta-Analysis of Ten Papers
#217 Technical Analysis
Competitive Intelligence -- AI Safety Red Teaming Market
#216 Technical Analysis
Training Data for Safety Classification
#215 Research — Empirical Study
Temporal Vulnerability Analysis: Attack Era Evolution (2022-2025)
#214 Research — Empirical Study
Automated Defense Generation: Co-Evolutionary System Prompt Optimization
#213 Research — Empirical Study
Silent Failures: When AI Safety Mechanisms Produce Compliance Without Protection
#212 Technical Analysis
Public Dataset Coverage Analysis
#211 Research — Empirical Study
Evolved Attack Family Mapping — Automated Evolution vs. Novel Families
#210 Technical Analysis
Benchmark Execution Master Plan — CCS Paper Data Collection
#209 Regulatory Review
Regulatory Landscape Q1 2026 — Converging Deadlines for Embodied AI
#208 Research — AI Safety Policy
FLIM Operational Assessment — Measuring Iatrogenic Effects of Safety Interventions
#207 Research — Empirical Study
The 2027 Threat Horizon v2 — Seven Predictions for Embodied AI Safety
#206 Research — Empirical Study
Defense Impossibility Experimental Protocol — Format-Lock vs. All Known Defenses
#205 Research — Empirical Study
Attack Combination Theory: Cross-Family Composition in Embodied AI
#204 Research — Empirical Study
AdvBench Baseline Run — Plan and Execution Strategy
#203 Research — Empirical Study
Evidence Package Sweep — Wave 1-3 Statistical Validation
#202 Research — Empirical Study
Novel Attack Family Comparative Analysis: CRA, PCA, MDA, MAC, SSA, RHA
#201 Research — Empirical Study
Cross-Benchmark Comparison — F41LUR3-F1R57 vs Published Benchmarks
#200 Research — Empirical Study
Adversarial Prompt Hall of Fame — Top 20 Cross-Model Attacks
#199 Research — Empirical Study
Who Guards the Guards? Independence and Capture in AI Safety Research
#198 Research — Empirical Study
Safety is Not a Single Direction — Polyhedral Geometry of Refusal in Language Models
#197 Research — Empirical Study
EU AI Act Compliance Assessment — Cross-Provider Analysis
#196 Research — Empirical Study
VerbosityGuard — Response Length as a Zero-Cost Jailbreak Pre-Filter
#195 Research — Empirical Study
Reward Hacking in Embodied AI: Scenario Design and Methodology
#194 Research — Empirical Study
Knowing and Proceeding: When Language Models Override Their Own Safety Judgments
#193 Research — Empirical Study
Report #193 — Data Health Assessment Q1 2026
#192 Research — Empirical Study
Multi-Agent Collusion Attacks: A Novel Attack Surface for Embodied AI Systems
#191 Research — Empirical Study
Cross-Wave Research Synthesis (Sprint 11-12, Waves 24-25)
#190 Research — Empirical Study
DETECTED_PROCEEDS — Models That Know It's Wrong and Do It Anyway
#189 Research — Empirical Study
The Verbosity Signal — Response Length as a Zero-Cost Jailbreak Detector
#188 Research — Empirical Study
Pressure Cascade Attack (PCA) and Meaning Displacement Attack (MDA) — Two Novel Tier 3 Attack Families
#187 Research — Empirical Study
The Format-Lock Paradox — Format Compliance and Safety Reasoning as Partially Independent Capabilities
#186 Research — Empirical Study
The Ethics of Automated Attack Evolution -- Dual-Use Obligations, Iatrogenic Risks, and a Graduated Disclosure Framework for AI Adversarial Research
#185 Research — Empirical Study
Compositional Reasoning Attacks — Multi-Agent Expansion
#184 Research — Empirical Study
Attack Evolution Multi-Generation Lineage Analysis
#183 Research — Empirical Study
OBLITERATUS Mechanistic Interpretability -- First Empirical Results on Qwen 0.5B
#182 Research — Empirical Study
Corpus Grading Completion and Three-Tier ASR Update
#181 Research — Empirical Study
Provider Safety Fingerprints: Attack-Specific Vulnerability Profiles
#180 Research — Empirical Study
Novel Attack Families and Refusal Geometry: First Empirical Results
#179 Research — Empirical Study
The Capability-Safety Transition Zone: Where Model Scale Begins to Matter
#178 Research — Empirical Study
The Heuristic Overcount Problem -- Quantifying False Positive Rates in Keyword-Based Safety Classification
#177 Research — Empirical Study
Corpus Grading Expansion -- Claude Haiku 4.5 Grader Results and Updated Statistics
#176 Research — Empirical Study
The Ethics of Autonomous Red-Teaming: Dual-Use Analysis of Attack Evolution Systems
#175 Research — Empirical Study
Autonomous Attack Evolution -- First Empirical Results
#174 Research — Empirical Study
Defense Effectiveness Benchmark -- Full Experiment
#173 Research — Empirical Study
Cross-Corpus Vulnerability Comparison
#172 Research — Empirical Study
Defense Effectiveness Benchmark -- Pilot Results
#171 Research — Empirical Study
Corpus Pattern Mining: Five Novel Findings from 132K Results
#170 Research — Empirical Study
DETECTED_PROCEEDS -- Corpus-Wide Empirical Analysis
#169 Research — Empirical Study
Capability-Safety Decoupling — Evidence from Format-Lock, Abliteration, and VLA Testing
#168 Research — Empirical Study
DETECTED_PROCEEDS -- Reasoning Patterns in Context Collapse Traces
#167 Research — Empirical Study
The Health of the AI Safety Field -- A Structural Meta-Assessment
#166 Research — Empirical Study
Context Collapse -- First Empirical Results
#165 Research — Empirical Study
The Four-Level Iatrogenesis Model -- A Formal Framework for Safety-Induced Harm in AI Systems
#164 Research — Empirical Study
Safety Training Return on Investment: Provider Identity Explains 57x More ASR Variance Than Model Scale
#163 Research — Empirical Study
Week 13 Threat Brief -- The Convergence Crisis
#162 Research — Empirical Study
Safety Framework Comparative Analysis -- Major Lab Policies Meet Embodied Reality
#161 Research — Empirical Study
Anthropic and OpenAI Safety Research — Structural Analysis for Failure-First
#160 Research — Empirical Study
Anthropic-Pentagon Structural Dynamics — March 2026 Update
#159 Research — Empirical Study
F41LUR3-F1R57 ASR Divergence from Public Benchmarks
#158 Research — Empirical Study
The Embodied AI Incident Severity Index (EAISI)
#157 Research — Empirical Study
The Unified Theory of Embodied AI Failure
#156 Research — Empirical Study
Compliance-Verbosity Signal Is Model-Dependent, Not Universal
#155 Research — Empirical Study
Safety Oscillation Attacks: Exploiting State Transition Latency in Embodied AI Safety Pipelines
#154 Research — AI Safety Policy
The D-Score -- A Dual-Use Disclosure Risk Scoring System
#153 Research — Empirical Study
The 2027 Threat Horizon -- Five Falsifiable Predictions for Embodied AI Safety
#152 Research — Empirical Study
The Evaluation Crisis in Embodied AI Safety
#151 Research — Empirical Study
The Polypharmacy Hypothesis -- Formalising the Nonlinear Risk of Compound Safety Interventions
#150 Research — Empirical Study
Hybrid DA-SBA -- Doubly Invisible Attacks Against Embodied AI
#149 Research — Empirical Study
NIST AI Risk Management Framework 1.0 — Gap Analysis for Embodied AI Adversarial Risk
#148 Research — Empirical Study
Iatrogenic Exploitation Attacks -- Operationalising Safety Mechanisms as Attack Vectors
#147 Research — Empirical Study
Week 12 Threat Brief -- The Modular AI Safety Collapse
#146 Research — Empirical Study
Cross-Embodiment Attack Transfer Benchmark — Systematic Dataset Design
#145 Research — Empirical Study
The Defense Impossibility Theorem for Embodied AI
#144 Research — AI Safety Policy
The Evaluator's Dilemma -- When Safety Testing Causes Harm
#143 Research — AI Safety Policy
Compositional Safety Certification — Why Component-Level Testing Fails for Modular AI Systems
#142 Research — Empirical Study
The Iatrogenic Risk Horizon -- Threat Brief
#141 Research — Empirical Study
Safety Interventions as Attack Surfaces -- The Iatrogenesis Convergence
#140 Research — Empirical Study
The Iatrogenesis of AI Safety -- How Safety Interventions Systematically Produce Unintended Harm in Embodied AI
#139 Research — Empirical Study
DLA Counter-Example and IDDL Robustness Analysis
#138 Research — Empirical Study
The Compositional Safety Gap — Why Component-Level Verification Cannot Ensure System-Level Safety
#137 Research — Empirical Study
Defense Layer Inversion — Week 11 Threat Brief
#136 Research — AI Safety Policy
Iatrogenic Attack Surfaces -- How Safety Mechanisms Create Novel Vulnerabilities
#135 Research — AI Safety Policy
The Therapeutic Index of AI Safety Interventions -- A Quantitative Framework for Iatrogenic Risk
#134 Research — AI Safety Policy
The Hippocratic Principle for AI Safety -- First, Verify You Are Not Making It Worse
#133 Research — Empirical Study
Compositional Supply Chain Attacks on Vision-Language-Action Systems
#132 Research — AI Safety Policy
Alignment Backfire Integration -- Cross-Language Safety Failure Validates the Safety Improvement Paradox
#131 Research — Empirical Study
Empirical Base Rates for DRIP -- Grounding the Unintentional Adversary Model in Occupational Safety Data
#130 Research — AI Safety Policy
Q2 2026 Threat Forecast -- Five Threats for Embodied AI Deployers
#129 Research — AI Safety Policy
DLMI Wave 5 Update -- Has the Defense Layer Mismatch Changed?
#128 Research — AI Safety Policy
Safety Confidence Index (SCI) -- A Composite Deployability Metric for Embodied AI
#127 Research — AI Safety Policy
The Evaluation Half-Life (EHL) -- Why Safety Benchmarks Decay
#126 Research — Empirical Study
DRIP Recomputation with Corrected Wave 5 ASR Values
#125 Research — Empirical Study
The Safety Instruction Effective Range (SIER) -- Theorizing the U-Curve in SID Dose-Response Data
#123 Research — AI Safety Policy
An Ethical Decision Framework for Embodied AI Vulnerability Disclosure
#122 Research — AI Safety Policy
The Ethics of Embodied AI Safety -- Five Paradoxes
#121 Research — Empirical Study
SIF 100% Heuristic Compliance -- Genuine Signal or Capability Floor?
#120 Research — Empirical Study
Infrastructure-Mediated Bypass (IMB) -- First Empirical Results
#119 Research — Empirical Study
Wave 4 VLA Benchmark Results -- SID, IMB, SIF Attack Families
#118 Research — Empirical Study
Defense Layer Mismatch Index (DLMI) -- Quantifying Where Safety Investment Misses the Actual Attack Surface
#117 Research — AI Safety Policy
The Safety Improvement Paradox — Why Better Adversarial Defenses Make Embodied AI Relatively Less Safe
#116 Research — AI Safety Policy
Ethical Implications of the Deployment Risk Inversion — The DRIP Problem
#115 Research — Empirical Study
The Unintentional Adversary -- Why Normal Users Are the Primary Threat to Embodied AI Safety
#114 Research — AI Safety Policy
Ethical Review of the SID Controlled Experiment Design
#113 Research — Empirical Study
Prediction Scorecard -- Monthly Check, March 15, 2026
#112 Research — AI Safety Policy
F41LUR3-F1R57 Positioning for ISO/IEC 42001 Conformity Assessment
#111 Research — Empirical Study
Attack Generation Pipeline Validation: Comparative Evaluation of Four Generation Strategies
#110 Research — Empirical Study
Compound Attack Evidence: Cross-Family Synergies in VLA Adversarial Testing
#109 Research — Empirical Study
Physical-Digital Attack Chain: Multi-Stage Exploitation of Embodied AI Systems
#108 Research — Empirical Study
Threat Horizon Brief -- Safety Instruction Dilution and the Context Expansion Attack Surface
#107 Research — Empirical Study
Cross-Domain IDDL Transfer Analysis — Autonomous Vehicles, Medical Robotics, and Industrial Automation
#106 Research — Empirical Study
Evaluator Independence — Wave 9 Quantitative Update
#105 Research — AI Safety Policy
Verification Hallucination in Multi-Agent AI Systems: A Governance Risk for Automated Compliance
#104 Research — Empirical Study
Why Policy Puppetry and Deceptive Alignment Show Lower ASR Than VLA Baseline
#103 Research — Empirical Study
Evaluation Monoculture — The Structural Risk of GPT-4-as-Judge Dependency in AI Safety Benchmarks
#102 Research — Empirical Study
The Evaluator as Attack Surface — Ethical Implications of Unreliable Safety Measurement
#101 Research — Empirical Study
The Deployment Risk Inversion — When Normal Users Become More Dangerous Than Adversaries
#100 Research — Empirical Study
The Failure-First Synthesis — A Complete Framework for Understanding Adversarial Risk in Embodied AI
#99 Research — Empirical Study
The CDC Governance Trilemma — Why Embodied AI Safety Cannot Be Certified, Only Managed
#98 Research — Empirical Study
The Context Half-Life -- A Predictive Model for Time-Dependent Safety Degradation in Embodied AI
#97 Research — Empirical Study
Competence-Danger Coupling — Why Capability and Safety Are Structurally Opposed in Embodied AI
#96 Research — Empirical Study
A Governance Framework for Embodied AI Safety Testing — Institutions, Mandates, and the CDC Problem
#93 Research — Empirical Study
IDDL Implications for Responsible Disclosure — An Ethics Addendum to the SRDA Framework
#92 Research — Empirical Study
Worker Safety Impact Analysis — VLA Attack Families Across Industry Sectors
#89 Research — Empirical Study
Dual-Use Obligations in Embodied AI Safety Research — A Responsible Disclosure Framework
#88 Research — Empirical Study
The Inverse Detectability-Danger Law — A Cross-Corpus Synthesis of Attack Visibility vs. Physical Consequence
#87 Research — Empirical Study
The Ungovernable Attack — Ethical Implications of Evaluation-Invisible Adversarial AI
#85 Research — Empirical Study
The Evaluation Ceiling — Why Current Safety Benchmarks Cannot Detect the Most Dangerous Embodied AI Attacks
#79 Research — Empirical Study
The Accountability Vacuum in Action-Layer AI Safety
#78 Research — Empirical Study
Defense Impossibility in Embodied AI — A Three-Layer Failure Convergence
#76 Research — Empirical Study
Evaluator Governance Framework — Operational Standards for Automated AI Safety Assessment
#75 Research — Empirical Study
Blindfold Action-Level Threat Analysis — Automated Jailbreaking of Embodied LLMs via Semantically Benign Instructions
#73 Research — Empirical Study
The Recursive Evaluator Problem — Ethics of AI-Grading-AI in Safety-Critical Research
#68 Research — Empirical Study
Evaluator Calibration Disclosure — A Minimum Standard for Automated Safety Grading
#67 Research — Empirical Study
Layer 0 Extension — Evaluation Infrastructure as Vulnerability Surface
#66 Research — Empirical Study
Verification Hallucination — When Multi-Agent Systems Fabricate Audit Trails
#63 Research — Empirical Study
The Actuator Gap — A Unified Thesis on Structural Vulnerability in Embodied AI
#61 Research — Empirical Study
The Evaluation Paradox — When Safety Measurement Tools Are Themselves Misaligned
#59 Research — Empirical Study
The Compliance Paradox — When Models Refuse in Text but Comply in Action
#49 Research — Empirical Study
VLA Cross-Embodiment Vulnerability Analysis: Seven Attack Families Against Two Models
#47 Research — Empirical Study
Embodied Capability Floor and Action Space Hijack Experiment
#46 HIGH
Quantifying the Governance Lag: Structural Causes and Temporal Dynamics of AI Safety Regulation
#45 SAFETY-CRITICAL
Inference Trace Manipulation as an Adversarial Attack Surface in Agentic and Embodied AI
#44 HIGH
Instruction-Hierarchy Subversion in Long-Horizon Agentic Execution
#43 SAFETY-CRITICAL
Deceptive Alignment Detection Under Evaluation-Aware Conditions
#42 SAFETY-CRITICAL
Cross-Embodiment Adversarial Transfer in Vision-Language-Action Models
#41 Research — Empirical Study
Universal Vulnerability of Small Language Models to Supply Chain Attacks
#40 Research — AI Safety Policy
Cross-Modal Vulnerability Inheritance in Vision-Language-Action Systems
#39 Technical Analysis
Systemic Failure Modes in Embodied Multi-Agent AI: An Exhaustive Analysis of the Failure-First Framework (2023–2026)
#38 Technical Analysis
The Autonomous Threat Vector: A Comprehensive Analysis of Cross-Agent Prompt Injection and the Security Crisis in Multi-Agent Systems
#37 Technical Analysis
The Erosive Narrative: Philosophical Framing, Multi-Agent Dynamics, and the Dissolution of Safety in Artificial Intelligence Systems
#36 Technical Analysis
The Semantic Supply Chain: Vulnerabilities, Viral Propagation, and Governance in Autonomous Agent Ecosystems (2024–2026)
#35 Technical Analysis
Emergent Algorithmic Hierarchies: A Socio-Technical Analysis of the Moltbook Ecosystem
#34 Research — AI Safety Policy
Cross-Model Vulnerability Inheritance in Multi-Agent Systems
#33 Research — AI Safety Policy
Capability Does Not Imply Safety: Empirical Evidence from Jailbreak Archaeology Across Eight Foundation Models
#32 Standards Development
CERTIFIED EMBODIED INTELLIGENCE: A COMPREHENSIVE FRAMEWORK FOR VISION-LANGUAGE-ACTION (VLA) MODEL SAFETY AND STANDARDIZATION
#31 Research — AI Safety Policy
The Policy Implications of Historical Jailbreak Technique Evolution (2022–2026): A Systematic Analysis of Empirical Vulnerabilities in Modern Foundation Models
#30 Standards Development
Multi-Agent System Safety Standard (MASSS): A Comprehensive Framework for Benchmarking Emergent Risks in Autonomous Agent Networks
#29 Regulatory Review
Strategic Framework for Sovereign AI Assurance: Establishing an Accredited Certification Body for Embodied Intelligence in Australia
#28 Regulatory Review
The Architecture of Kinetic Risk: Insurance Underwriting as the Primary Regulator of Humanoid Robotics and Autonomous Systems
#27 Regulatory Review
The Federated Aegis: A Unified Assurance Framework for Autonomous Systems in the AUKUS and Five Eyes Complex
#26 Standards Development
Computational Reliability and the Propagation of Measurement Uncertainty in Frontier AI Safety Evaluation
#25 Research — AI Safety Policy
The Paradox of Capability: A Comprehensive Analysis of Inverse Scaling, Systemic Vulnerabilities, and the Strategic Reconfiguration of Artificial Intelligence Safety
#24 Research — AI Safety Policy
Cognitive Capture and Behavioral Phase Transitions: Policy and Regulatory Implications of Persistent State Hijacking in Reasoning-Augmented Autonomous Systems
#23 Standards Development
Technical Gap Analysis of ISO and IEC Standards for Vision-Language-Action (VLA) Driven Humanoid Robotics and Large Language Model (LLM) Cognitive Layers
#22 Standards Development
Comprehensive Sector-Specific NIST AI Risk Management Framework (AI RMF 1.0) Playbook: Humanoid Robotics and VLA-Driven Embodied Systems
#21 Regulatory Review
Regulatory Compliance and Risk Mitigation for Embodied Multi-Agent Systems: A Comprehensive Analysis of Regulation 2024/1689
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