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CryptoBullishCoinDesk · Apr 296/10

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Institutional money is coming for bitcoin, but Adam Back says it moves slower than you think

$BTC

AIBullishMIT News – AI · Apr 296/10

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Enabling privacy-preserving AI training on everyday devices

AIBullisharXiv – CS AI · Apr 295/10

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A Systematic Approach for Large Language Models Debugging

AIBearisharXiv – CS AI · Apr 295/10

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PhySE: A Psychological Framework for Real-Time AR-LLM Social Engineering Attacks

AIBullisharXiv – CS AI · Apr 296/10

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Judging the Judges: A Systematic Evaluation of Bias Mitigation Strategies in LLM-as-a-Judge Pipelines

🏢 OpenAI🏢 Anthropic🧠 Claude

AIBullisharXiv – CS AI · Apr 295/10

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AI Identity: Standards, Gaps, and Research Directions for AI Agents

AIBullisharXiv – CS AI · Apr 295/10

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When Corrective Hints Hurt: Prompt Design in Reasoner-Guided Repair of LLM Overcaution on Entailed Negations under OWL~2~DL

🧠 GPT-5

AIBullisharXiv – CS AI · Apr 295/10

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MetaGAI: A Large-Scale and High-Quality Benchmark for Generative AI Model and Data Card Generation

🏢 Hugging Face

AIBullisharXiv – CS AI · Apr 296/10

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FinGround: Detecting and Grounding Financial Hallucinations via Atomic Claim Verification

🧠 GPT-4

AIBearisharXiv – CS AI · Apr 295/10

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The Price of Agreement: Measuring LLM Sycophancy in Agentic Financial Applications

AIBullisharXiv – CS AI · Apr 295/10

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Algorithmic Administration and the EU AI Act: Legal Principles for Public Sector Use of AI

AIBullisharXiv – CS AI · Apr 295/10

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Parameter Efficiency Is Not Memory Efficiency: Rethinking Fine-Tuning for On-Device LLM Adaptation

AIBullisharXiv – CS AI · Apr 296/10

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Representation Homogeneity and Systemic Instability in AI-Dominated Financial Markets: A Structural Approach

AIBullisharXiv – CS AI · Apr 295/10

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Mechanistic Steering of LLMs Reveals Layer-wise Feature Vulnerabilities in Adversarial Settings

AIBullisharXiv – CS AI · Apr 295/10

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Designing escalation criteria for international AI incident response: criteria, triggers, and thresholds

AIBullisharXiv – CS AI · Apr 295/10

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Evaluating Jailbreaking Vulnerabilities in LLMs Deployed as Assistants for Smart Grid Operations: A Benchmark Against NERC Standards

🏢 OpenAI🏢 Anthropic🧠 GPT-4

AIBearisharXiv – CS AI · Apr 296/10

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Evaluation of Prompt Injection Defenses in Large Language Models

AIBullisharXiv – CS AI · Apr 295/10

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The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers

AIBullisharXiv – CS AI · Apr 296/10

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Seeing Is No Longer Believing: Frontier Image Generation Models, Synthetic Visual Evidence, and Real-World Risk

🧠 Grok

AIBullisharXiv – CS AI · Apr 295/10

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Patching LLM Like Software: A Lightweight Method for Improving Safety Policy in Large Language Models

AIBearisharXiv – CS AI · Apr 296/10

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Beyond Context: Large Language Models' Failure to Grasp Users' Intent

🧠 ChatGPT🧠 Claude🧠 Opus

AIBullisharXiv – CS AI · Apr 296/10

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CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment

AIBullisharXiv – CS AI · Apr 295/10

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Exploring the Secondary Risks of Large Language Models

AIBullisharXiv – CS AI · Apr 296/10

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Learning to Conceal Risk: Controllable Multi-turn Red Teaming for LLMs in the Financial Domain

AIBearisharXiv – CS AI · Apr 296/10

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MEASER: Malware embedding attacks on open-source LLMs