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64230 articles
AIBullisharXiv – CS AI · Mar 167/10
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Towards AI Search Paradigm

Researchers introduce the AI Search Paradigm, a comprehensive framework for next-generation search systems using four LLM-powered agents (Master, Planner, Executor, Writer) that collaborate to handle everything from simple queries to complex reasoning tasks. The system employs modular architecture with dynamic workflows for task planning, tool integration, and content synthesis to create more adaptive and scalable AI search capabilities.

AINeutralarXiv – CS AI · Mar 167/10
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Aligning Large Language Model Agents with Rational and Moral Preferences: A Supervised Fine-Tuning Approach

Researchers developed a supervised fine-tuning approach to align large language model agents with specific economic preferences, addressing systematic deviations from rational behavior in strategic environments. The study demonstrates how LLM agents can be trained to follow either self-interested or morally-guided strategies, producing distinct outcomes in economic games and pricing scenarios.

AIBearisharXiv – CS AI · Mar 167/10
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Large language models show fragile cognitive reasoning about human emotions

Researchers introduced CoRE, a benchmark testing whether large language models can reason about human emotions through cognitive dimensions rather than just labels. The study found that while LLMs capture systematic relations between cognitive appraisals and emotions, they show misalignment with human judgments and instability across different contexts.

AINeutralarXiv – CS AI · Mar 167/10
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On Deepfake Voice Detection -- It's All in the Presentation

Researchers have identified why current deepfake voice detection systems fail in real-world applications, finding that existing datasets don't account for how audio changes when transmitted through communication channels. A new framework improved detection accuracy by 39-57% and emphasizes that better datasets matter more than larger AI models for effective deepfake detection.

AIBullisharXiv – CS AI · Mar 167/10
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Disentangling Recall and Reasoning in Transformer Models through Layer-wise Attention and Activation Analysis

Researchers used mechanistic interpretability techniques to demonstrate that transformer language models have distinct but interacting neural circuits for recall (retrieving memorized facts) and reasoning (multi-step inference). Through controlled experiments on Qwen and LLaMA models, they showed that disabling specific circuits can selectively impair one ability while leaving the other intact.

AINeutralarXiv – CS AI · Mar 167/10
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Epistemic diversity across language models mitigates knowledge collapse

Research published on arXiv demonstrates that training diverse AI model ecosystems can prevent knowledge collapse, where AI systems degrade when trained on their own outputs. The study shows that optimal diversity levels increase with training iterations, and larger, more homogeneous systems are more susceptible to collapse.

AIBullisharXiv – CS AI · Mar 167/10
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Development of Ontological Knowledge Bases by Leveraging Large Language Models

Researchers have developed a new methodology that leverages Large Language Models to automate the creation of Ontological Knowledge Bases, addressing traditional challenges of manual development. The approach demonstrates significant improvements in scalability, consistency, and efficiency through automated knowledge acquisition and continuous refinement cycles.

AIBearisharXiv – CS AI · Mar 167/10
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MalURLBench: A Benchmark Evaluating Agents' Vulnerabilities When Processing Web URLs

Researchers have released MalURLBench, the first benchmark to evaluate how LLM-based web agents handle malicious URLs, revealing significant vulnerabilities across 12 popular models. The study found that existing AI agents struggle to detect disguised malicious URLs and proposed URLGuard as a defensive solution.

AIBullisharXiv – CS AI · Mar 167/10
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Learnable Koopman-Enhanced Transformer-Based Time Series Forecasting with Spectral Control

Researchers propose a new family of learnable Koopman operators that combine linear dynamical systems theory with deep learning for time series forecasting. The approach integrates with existing transformer architectures like Patchtst and Autoformer, offering improved stability and interpretability in predictive models.

AIBullisharXiv – CS AI · Mar 167/10
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Pyramid MoA: A Probabilistic Framework for Cost-Optimized Anytime Inference

Researchers have developed Pyramid MoA, a new framework that optimizes large language model inference costs by using a hierarchical router system that escalates queries to more expensive models only when necessary. The system achieves up to 62.7% cost savings while maintaining Oracle-level accuracy on various benchmarks including coding and mathematical reasoning tasks.

🧠 Llama
GeneralBearishFortune Crypto · Mar 15🔥 8/10
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Trump leaves allies and foes guessing on his endgame for Iran

Trump discussed war objectives with G7 leaders but declined to share specific details, stating he has several objectives in mind and wants the conflict to end soon. The lack of transparency leaves both allies and adversaries uncertain about his strategic intentions regarding Iran.

Trump leaves allies and foes guessing on his endgame for Iran
CryptoBullishBlockonomi · Mar 157/10
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Tron Revenue Tops Blockchain Networks with $24.96M Monthly Earnings

Tron has become the top-performing blockchain by revenue, generating $947K in 24 hours and $24.96M monthly, exceeding the combined earnings of major competitors like Ethereum, Base, Polygon, and Solana. The strong performance is driven by consistent stablecoin transfer fees and high-volume transactions.

$ETH$MATIC$SOL
CryptoBearishBlockonomi · Mar 157/10
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Bitcoin Faces $3.4B Long Liquidation Risk Near $66.5K Zone

Bitcoin faces significant liquidation risk with $3.4 billion in leveraged long positions concentrated near the $66.5K price level. Currently trading around $71,544, Bitcoin is consolidating below $72K resistance with technical indicators showing fading momentum and potential for forced liquidations if price drops below $70K.

$BTC
CryptoBearishCryptoPotato · Mar 157/10
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CertiK Report Reveals Surging Crypto ATM Fraud With $333M Lost in 2025

A CertiK report reveals that crypto ATM fraud has surged dramatically, resulting in $333 million in losses during 2025. The fraud exploits crypto ATMs' minimal verification requirements and fast transaction processing, allowing criminals to quickly convert cash into digital assets before victims can detect the fraudulent activity.

CertiK Report Reveals Surging Crypto ATM Fraud With $333M Lost in 2025
DeFiBearishBlockonomi · Mar 157/10
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DeFi User Loses $50.4M in One Swap as MEV Bots and Protocol Failures Collide

A DeFi user lost $50.4M in a single swap from aEthUSDT to aEthAAVE after confirming a 99.9% price impact warning on CoW Swap. The transaction was routed through an illiquid SushiSwap pool due to protocol failures, then exploited by MEV bots through a sandwich attack that netted $9.9M profit.

$SUSHI
CryptoBearishBlockonomi · Mar 157/10
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Ethereum Futures Volume Surpasses Spot Trading Sixfold as Macro Pressures Mount

Ethereum futures volume on Binance has surged to over six times spot trading volume in March 2025, while ETH open interest dropped by 400,000 ETH since January, eliminating nearly $4 billion in exposure. Rising macroeconomic pressures including 3.1% core PCE inflation and geopolitical tensions are constraining Federal Reserve monetary policy flexibility.

$ETH
CryptoNeutralBlockonomi · Mar 157/10
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Bitcoin Whale Activity Hits Six-Year High as Retail Participation Stays Near Cycle Lows

Bitcoin whale activity has surged to a six-year high as measured by the Exchange Whale Ratio during recent BTC price declines, while retail participation remains at cycle lows. Historical patterns suggest similar whale activity spikes have occurred near local bottoms before significant price rallies.

$BTC
CryptoBearishCoinTelegraph · Mar 157/10
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CLARITY Act risks handing crypto to centralized players: Gnosis exec

A Gnosis co-founder warns that the CLARITY Act could favor centralized crypto players by requiring all cryptocurrency activities to pass through US government-licensed financial intermediaries. The legislation potentially threatens decentralized crypto operations and could consolidate power among traditional financial institutions.

CLARITY Act risks handing crypto to centralized players: Gnosis exec
DeFiBearishBlockonomi · Mar 157/10
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BIS Warns Stablecoins Can Depeg Even with Full Reserves: Here’s Why

The Bank for International Settlements (BIS) warns that fully collateralized stablecoins can still lose their peg during market runs if reserves become inaccessible. The BIS compares stablecoins to Eurodollars and 19th-century wildcat banks, highlighting their lack of central bank backing and operation across fragmented regulatory jurisdictions without unified oversight.

CryptoBullishBlockonomi · Mar 157/10
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Vitalik Buterin: Proof-of-Stake Is More Secure and Resilient Than Proof-of-Work

Vitalik Buterin argues that Ethereum's Proof-of-Stake consensus mechanism is more secure than Proof-of-Work, requiring over $80 billion in ETH to successfully attack the network. The system includes automatic slashing mechanisms that burn validators' coins for malicious behavior and community governance options to counter censorship attacks.

$ETH
GeneralBearishFortune Crypto · Mar 157/10
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Iran says it’s giving some countries access to the Strait of Hormuz, while Trump’s call for others to send warships is met with no promises

Iran announces it's granting selective access to the Strait of Hormuz while Trump calls on multiple countries including China, France, Japan, South Korea, and Britain to deploy warships to keep the strategic waterway open and safe. The international response to Trump's call for naval support remains uncertain with no concrete commitments reported.

Iran says it’s giving some countries access to the Strait of Hormuz, while Trump’s call for others to send warships is met with no promises
AIBullishBlockonomi · Mar 157/10
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Tesla Terafab: Elon Musk’s $25 Billion Chip Factory That Could Disrupt the Semiconductor Industry

Tesla is reportedly building a $25 billion semiconductor fabrication facility called Terafab, targeting 1 million monthly wafer starts by 2030 to match TSMC's current capacity. The facility will produce logic, memory, and advanced packaging at 2nm scale, with Tesla's AI5 chip allegedly offering 3x better efficiency than Nvidia's Blackwell at 10% of the cost.

🏢 Nvidia
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