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Real-time AI-curated news from 31,629+ articles across 50+ sources. Sentiment analysis, importance scoring, and key takeaways — updated every 15 minutes.

31629 articles
AIBullishFortune Crypto · Mar 47/103
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Warren Buffett complained for decades that boosting profits by excluding exec stock comp was ‘cynical’—Nvidia just surprised Wall Street and agreed

Nvidia surprised Wall Street by agreeing to include executive stock compensation in its profit calculations, addressing a decades-old complaint by Warren Buffett about excluding such costs. This accounting change will likely boost Nvidia's credibility with investors while potentially pressuring competitors to follow suit.

Warren Buffett complained for decades that boosting profits by excluding exec stock comp was ‘cynical’—Nvidia just surprised Wall Street and agreed
$COMP
GeneralBearishCryptoPotato · Mar 4🔥 8/102
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Market Meltdown: Why South Korea’s KOSPI Just Crashed 12%

South Korea's KOSPI stock market suffered its worst crash in decades, plummeting 12% amid escalating geopolitical tensions related to war in Iran. The dramatic sell-off reflects broader market concerns about regional stability and global economic implications.

Market Meltdown: Why South Korea’s KOSPI Just Crashed 12%
CryptoBullishBeInCrypto · Mar 47/102
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31.6 Million ETH Leaves Exchanges as Vitalik Calls for Ethereum “Sanctuary” Tech

31.6 million ETH has been withdrawn from exchanges as Ethereum trades sideways around $2,000, indicating strong accumulation sentiment among investors. The significant outflow represents new records in ETH withdrawals, while Vitalik Buterin advocates for developing Ethereum into 'sanctuary' technology.

31.6 Million ETH Leaves Exchanges as Vitalik Calls for Ethereum “Sanctuary” Tech
$ETH
CryptoBearishBitcoinist · Mar 47/103
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Confidential LIBRA Advisory Agreement Between Co‑Creator And President Milei Revealed

Judicial findings reveal a previously undisclosed advisory agreement between Argentine President Javier Milei and LIBRA cryptocurrency co-creator Hayden Mark Davis. The scandal centers around President Milei's public endorsement of the LIBRA token on February 14, 2025, raising questions about potential conflicts of interest.

Confidential LIBRA Advisory Agreement Between Co‑Creator And President Milei Revealed
AI × CryptoBullishBeInCrypto · Mar 47/107
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OKX Rolls Out Native AI Toolkit on OnchainOS to Power Autonomous Agents

OKX has launched a native AI toolkit on its OnchainOS platform, enabling AI agents to operate autonomously on blockchain networks. The toolkit bridges traditional decentralized tools with machine-native automation for trading, wallet management, payments, and market data access.

OKX Rolls Out Native AI Toolkit on OnchainOS to Power Autonomous Agents
AINeutralarXiv – CS AI · Mar 47/105
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Federated Inference: Toward Privacy-Preserving Collaborative and Incentivized Model Serving

Researchers introduce Federated Inference (FI), a new collaborative paradigm where independently trained AI models can work together at inference time without sharing data or model parameters. The study identifies key requirements including privacy preservation and performance gains, while highlighting system-level challenges that differ from traditional federated learning approaches.

AINeutralarXiv – CS AI · Mar 46/103
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Engineering Reasoning and Instruction (ERI) Benchmark: A Large Taxonomy-driven Dataset for Foundation Models and Agents

Researchers released the ERI benchmark, a comprehensive dataset spanning 9 engineering fields and 55 subdomains to evaluate large language models' engineering capabilities. The benchmark tested 7 LLMs across 57,750 records, revealing a clear three-tier performance structure with frontier models like GPT-5 and Claude Sonnet 4 significantly outperforming mid-tier and smaller models.

AIBullisharXiv – CS AI · Mar 46/106
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SuperLocalMemory: Privacy-Preserving Multi-Agent Memory with Bayesian Trust Defense Against Memory Poisoning

SuperLocalMemory is a new privacy-preserving memory system for multi-agent AI that defends against memory poisoning attacks through local-first architecture and Bayesian trust scoring. The open-source system eliminates cloud dependencies while providing personalized retrieval through adaptive learning-to-rank, demonstrating strong performance metrics including 10.6ms search latency and 72% trust degradation for sleeper attacks.

AIBullisharXiv – CS AI · Mar 46/103
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COOL-MC: Verifying and Explaining RL Policies for Platelet Inventory Management

Researchers developed COOL-MC, a tool that combines reinforcement learning with model checking to verify and explain AI policies for platelet inventory management in blood banks. The system achieved a 2.9% stockout probability while providing transparent decision-making explanations for safety-critical healthcare applications.

AINeutralarXiv – CS AI · Mar 46/104
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Diagnosing Retrieval vs. Utilization Bottlenecks in LLM Agent Memory

Researchers analyzed memory systems in LLM agents and found that retrieval methods are more critical than write strategies for performance. Simple raw chunk storage matched expensive alternatives, suggesting current memory pipelines may discard useful context that retrieval systems cannot compensate for.

AIBullisharXiv – CS AI · Mar 47/104
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PRISM: Pushing the Frontier of Deep Think via Process Reward Model-Guided Inference

Researchers introduce PRISM, a new AI inference algorithm that uses Process Reward Models to guide deep reasoning systems. The method significantly improves performance on mathematical and scientific benchmarks by treating candidate solutions as particles in an energy landscape and using score-guided refinement to concentrate on higher-quality reasoning paths.

AIBullisharXiv – CS AI · Mar 47/105
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NeuroProlog: Multi-Task Fine-Tuning for Neurosymbolic Mathematical Reasoning via the Cocktail Effect

Researchers introduce NeuroProlog, a neurosymbolic framework that improves mathematical reasoning in Large Language Models by converting math problems into executable Prolog programs. The multi-task 'Cocktail' training approach shows significant accuracy improvements of 3-5% across different model sizes, with larger models demonstrating better error correction capabilities.

AINeutralarXiv – CS AI · Mar 47/104
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A Neuropsychologically Grounded Evaluation of LLM Cognitive Abilities

Researchers introduced NeuroCognition, a new benchmark for evaluating LLMs based on neuropsychological tests, revealing that while models show unified capability across tasks, they struggle with foundational cognitive abilities. The study found LLMs perform well on text but degrade with images and complexity, suggesting current models lack core adaptive cognition compared to human intelligence.

AINeutralarXiv – CS AI · Mar 46/102
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LiveAgentBench: Comprehensive Benchmarking of Agentic Systems Across 104 Real-World Challenges

Researchers have released LiveAgentBench, a comprehensive benchmark featuring 104 real-world scenarios to evaluate AI agent performance across practical applications. The benchmark uses a novel Social Perception-Driven Data Generation method to ensure tasks reflect actual user requirements and includes 374 total tasks for testing various AI models and frameworks.

AIBullisharXiv – CS AI · Mar 47/102
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SUN: Shared Use of Next-token Prediction for Efficient Multi-LLM Disaggregated Serving

Researchers propose SUN (Shared Use of Next-token Prediction), a novel approach for multi-LLM serving that enables cross-model sharing of decode execution by decomposing transformers into separate prefill and decode modules. The system achieves up to 2.0x throughput improvement per GPU while maintaining accuracy comparable to full fine-tuning, with a quantized version (QSUN) providing additional 45% speedup.

AIBullisharXiv – CS AI · Mar 46/104
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AgentAssay: Token-Efficient Regression Testing for Non-Deterministic AI Agent Workflows

Researchers introduce AgentAssay, the first framework for regression testing AI agent workflows, achieving 78-100% cost reduction while maintaining statistical guarantees. The system uses behavioral fingerprinting and stochastic testing methods to detect regressions in autonomous AI agents across multiple models including GPT-5.2, Claude Sonnet 4.6, and others.

AINeutralarXiv – CS AI · Mar 47/104
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SorryDB: Can AI Provers Complete Real-World Lean Theorems?

Researchers have introduced SorryDB, a dynamic benchmark for evaluating AI systems' ability to prove mathematical theorems using the Lean proof assistant. The benchmark draws from 78 real-world formalization projects and addresses limitations of static benchmarks by providing continuously updated tasks that better reflect community needs.

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