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99041 articles
AIBullisharXiv – CS AI · Apr 67/10
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Mitigating Reward Hacking in RLHF via Advantage Sign Robustness

Researchers propose Sign-Certified Policy Optimization (SignCert-PO) to address reward hacking in reinforcement learning from human feedback (RLHF), a critical problem where AI models exploit learned reward systems rather than improving actual performance. The lightweight approach down-weights non-robust responses during policy optimization and showed improved win rates on summarization and instruction-following benchmarks.

AINeutralarXiv – CS AI · Apr 67/10
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Enhancing Robustness of Federated Learning via Server Learning

Researchers propose a new heuristic algorithm combining server learning with client update filtering and geometric median aggregation to improve federated learning robustness against malicious attacks. The approach maintains model accuracy even when over 50% of clients are malicious and works with non-identical data distributions across clients.

AIBullisharXiv – CS AI · Apr 67/10
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Glia: A Human-Inspired AI for Automated Systems Design and Optimization

Researchers have developed Glia, an AI architecture using large language models in a multi-agent workflow to autonomously design computer systems mechanisms. The system generates interpretable designs for distributed GPU clusters that match human expert performance while providing novel insights into workload behavior.

AIBullisharXiv – CS AI · Apr 67/10
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ClinicalReTrial: Clinical Trial Redesign with Self-Evolving Agents

Researchers have developed ClinicalReTrial, a multi-agent AI system that can redesign clinical trial protocols to improve success rates. The system demonstrated an 83.3% improvement rate in trial protocols with a mean 5.7% increase in success probability at minimal cost of $0.12 per trial.

AIBearisharXiv – CS AI · Apr 67/10
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When AI Gets it Wrong: Reliability and Risk in AI-Assisted Medication Decision Systems

A research paper examines reliability issues in AI-assisted medication decision systems, finding that even systems with good aggregate performance can produce dangerous errors in real-world healthcare scenarios. The study emphasizes that single incorrect AI recommendations in medication management can cause severe patient harm, highlighting the need for human oversight and risk-aware evaluation approaches.

AIBullisharXiv – CS AI · Apr 67/10
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OSCAR: Orchestrated Self-verification and Cross-path Refinement

Researchers introduce OSCAR, a training-free framework that reduces AI hallucinations in diffusion language models by using cross-chain entropy to detect uncertain token positions during generation. The system runs parallel denoising chains and performs targeted remasking with retrieved evidence to improve factual accuracy without requiring external hallucination classifiers.

AINeutralarXiv – CS AI · Apr 67/10
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AgenticRed: Evolving Agentic Systems for Red-Teaming

AgenticRed introduces an automated red-teaming system that uses evolutionary algorithms and LLMs to autonomously design attack methods without human intervention. The system achieved near-perfect attack success rates across multiple AI models, including 100% success on GPT-5.1, DeepSeek-R1 and DeepSeek V3.2.

🧠 GPT-5🧠 Llama
AIBullisharXiv – CS AI · Apr 67/10
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Patterns behind Chaos: Forecasting Data Movement for Efficient Large-Scale MoE LLM Inference

Researchers analyzed data movement patterns in large-scale Mixture of Experts (MoE) language models (200B-1000B parameters) to optimize inference performance. Their findings led to architectural modifications achieving 6.6x speedups on wafer-scale GPUs and up to 1.25x improvements on existing systems through better expert placement algorithms.

🏢 Hugging Face
AIBullisharXiv – CS AI · Apr 67/10
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Training Multi-Image Vision Agents via End2End Reinforcement Learning

Researchers introduce IMAgent, an open-source visual AI agent trained with reinforcement learning to handle multi-image reasoning tasks. The system addresses limitations of current VLM-based agents that only process single images, using specialized tools for visual reflection and verification to maintain attention on image content throughout inference.

🏢 OpenAI🧠 o1🧠 o3
AINeutralarXiv – CS AI · Apr 67/10
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SAGA: Source Attribution of Generative AI Videos

Researchers introduce SAGA, a comprehensive framework for identifying the specific AI models used to generate synthetic videos, moving beyond simple real/fake detection. The system provides multi-level attribution across authenticity, generation method, model version, and development team using only 0.5% of labeled training data.

AIBullisharXiv – CS AI · Apr 67/10
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Textual Equilibrium Propagation for Deep Compound AI Systems

Researchers introduce Textual Equilibrium Propagation (TEP), a new method to optimize large language model compound AI systems that addresses performance degradation in deep, multi-module workflows. TEP uses local learning principles to avoid exploding and vanishing gradient problems that plague existing global feedback methods like TextGrad.

AINeutralarXiv – CS AI · Apr 67/10
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ProdCodeBench: A Production-Derived Benchmark for Evaluating AI Coding Agents

Researchers introduce ProdCodeBench, a new benchmark for evaluating AI coding agents based on real developer-agent sessions from production environments. The benchmark addresses limitations of existing coding benchmarks by using authentic prompts, code changes, and tests across seven programming languages, with foundation models achieving solve rates between 53.2% and 72.2%.

CryptoBullishBlockonomi · Apr 67/10
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Ethereum Price Prediction Gets Fuel as Foundation Locks $93 Million Into Staking

The Ethereum Foundation staked $93 million worth of ETH in a single day, bringing its total to over 69,500 ETH near its 70,000 ETH target. This strategic shift from selling ETH to earning staking yield removes significant sell pressure from the market that has persisted for years.

$ETH
CryptoNeutralBlockonomi · Apr 57/10
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Coinbase Urges SEC to Allow Third-Party Tokenization Without Issuer Consent

Coinbase filed a formal SEC submission on April 1, 2026, opposing mandatory issuer approval for third-party stock tokenization, arguing it contradicts Section 4(a)(1) of the Securities Act and decades of legal precedent. The exchange warns that requiring issuer consent could create anticompetitive barriers and drive blockchain innovation offshore.

CryptoBullishCrypto Briefing · Apr 57/10
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Bitcoin price surpasses $68,000 as traders eye $100,000 by June 30: FT

Bitcoin has surpassed $68,000 as traders set ambitious targets of $100,000 by June 30. The price surge demonstrates Bitcoin's continued volatility and growing recognition as a potential geopolitical hedge, with institutional activity and global stability factors driving market movements.

Bitcoin price surpasses $68,000 as traders eye $100,000 by June 30: FT
$BTC
CryptoNeutralBlockonomi · Apr 57/10
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Bitcoin Liquidation Map Signals $6B Short Squeeze Risk Near Key $72.5K Level

Bitcoin faces potential $6 billion short squeeze if price approaches $72.5K, with dense liquidation clusters between $68K-$74K that could trigger rapid upward movement. Conversely, nearly $2 billion in long positions risk liquidation if Bitcoin drops below $65K, creating significant volatility zones.

$BTC
CryptoBullishBlockonomi · Apr 57/10
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ETH Futures Volumes Hit Seven Times Spot Trading as Open Interest Nears All-Time High

ETH futures open interest has surged to 6.4 million ETH, nearing the all-time high of 7.8 million ETH set in July 2025. Binance dominates the ETH derivatives market with 36% market share and 2.3 million ETH in open interest, while futures volumes now trade at seven times the rate of spot trading.

$ETH
AI × CryptoBearishCoinDesk · Apr 57/10
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A simple explainer on what quantum computing actually is, and why it is terrifying for bitcoin

The article promises to explain why quantum computing poses a genuine threat to Bitcoin's security, moving beyond the oversimplified explanation that quantum bits can exist in multiple states simultaneously. It aims to provide a more technical understanding of the specific vulnerabilities quantum computing creates for Bitcoin's cryptographic foundations.

A simple explainer on what quantum computing actually is, and why it is terrifying for bitcoin
$BTC
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