Real-time AI-curated news from 96,652+ articles across 50+ sources. Sentiment analysis, importance scoring, and key takeaways — updated every 15 minutes.
Three senior Democratic lawmakers are pressing the U.S. Labor Department to withdraw a proposal that would allow cryptocurrencies and alternative investments in 401(k) retirement accounts, potentially affecting the $10.1 trillion retirement savings market. The letter signals regulatory resistance to crypto integration in traditional retirement vehicles.
NewLimit, a longevity biotech startup backed by Neil Armstrong's family, raised $435M in Series C funding led by Founders Fund to advance epigenetic reprogramming therapies. The company plans to initiate first-in-human clinical trials for its lead liver cell regeneration program next year following recent breakthrough research results.
Bitcoin's fear gauge, the Crypto Fear and Greed Index, jumped nearly 20% in a single day—its largest spike since February 5's market crash. The surge marks a sharp reversal from two months of stable, complacent market conditions and signals renewed investor anxiety about price volatility and downside risks.
Microsoft has identified a sophisticated malware campaign targeting cryptocurrency investors by embedding malicious code within popular npm open-source packages. The trojan poses a direct threat to developers and crypto users who rely on these widely-used libraries, highlighting a critical vulnerability in the open-source software supply chain.
The Cardano Foundation has announced a strategic partnership with Brazil's Olympic Committee to integrate blockchain technology across sports governance over a three-year period. The initiative will pilot digital identity systems, fan engagement platforms, equipment tracking, and governance mechanisms using Cardano's public blockchain to enhance transparency and institutional trust.
XRP has broken through a major support level amid heavy selling pressure, reaching a 15-week low. Traders are now monitoring the $1.20 level as the next critical defense point, as bullish technical signals fail to translate into sustained price appreciation.
The Clarity Act, backed by the Blockchain Association, has secured endorsements from 160 former security and intelligence officials before Senate consideration. The legislation expands anti-money laundering, sanctions compliance, and reporting requirements for crypto market participants while establishing a Treasury-led information-sharing initiative to combat digital asset-related crimes.
Bitcoin crashed below $70,000 for the first time since April, triggering $445 million in liquidations across its derivatives markets in a single day. The decline was driven partly by a rare sale from Strategy, Bitcoin's largest treasury holder, while altcoins and Ethereum showed relative resilience.
Mastercard is expanding its payments network to support on-chain settlement using regulated stablecoins, partnering with issuers like Circle, Paxos, and Ripple. This move integrates blockchain-based digital currencies into traditional payment infrastructure, enabling faster and more efficient cross-border transactions.
Solana has recorded eight consecutive monthly losses for the first time in its history, creating a critical technical setup that resembles previous bear market bottoms. Technical analysts suggest this pattern could precede a major recovery, with potential price targets between $500-$1,000 if historical cycles repeat.
Researchers propose a novel framework combining importance-aware news compression and process reward models to improve LLM-based time series forecasting across finance, energy, and cryptocurrency markets. The method addresses practical limitations of existing approaches by intelligently filtering news articles within context windows and guiding iterative retrieval, achieving better accuracy with fewer refinement iterations.
Researchers propose CLEAR, an economic optimization framework for allocating computational budgets during LLM inference by modeling resource allocation as a constrained optimization problem. The approach uses a global shadow price mechanism to redistribute tokens from queries unlikely to succeed to those near performance thresholds, achieving up to 3x accuracy improvements in resource-constrained environments.
Researchers introduced AuditFlow, a multi-agent AI framework that combines language models with symbolic environments to verify structured financial reporting. The system achieved 82% accuracy in audit verification by separating adaptive search from deterministic symbolic checks, demonstrating that deterministic verification—not language models alone—drives reliable audit outcomes.
Researchers identify 'compliance bias' in autonomous agents trained via human feedback, where systems proceed with unsafe actions despite lacking necessary information, authorization, or evidence. The study proposes abstention-aware benchmarks and evaluation protocols that can block up to 89% of hazardous actions while maintaining 87.5% usability, challenging the assumption that safety and performance are inherently trade-offs.
Researchers introduce Reasoning Primitive Induction, a method that extracts reusable reasoning patterns from ReAct-style LLM agent traces and converts them into a compact library of pseudo-tools. The induced libraries consistently outperform the original agents by 22-44 percentage points across multiple reasoning tasks, suggesting a systematic path to improve LLM reasoning through learned decomposition.
TriEval introduces an open-source pipeline for evaluating large language models across bias, toxicity, and truthfulness simultaneously while requiring minimal computational resources. The tool runs on standard laptops without GPU clusters, making rigorous LLM safety testing accessible to researchers with limited budgets, and reveals significant performance differences between open-source and closed-source models.
SkillDAG introduces a typed directed graph system that models inter-skill relationships for LLM agents, enabling dynamic skill selection and structural learning during execution. The approach significantly outperforms existing baselines on ALFWorld and SkillsBench benchmarks, achieving 67.1% success and 27.3% reward by treating skill selection as a structural problem rather than a similarity-matching one.
Researchers introduce EvoTrainer, an autonomous framework that co-evolves large language model policies and training harnesses through empirical feedback, matching or exceeding human-engineered reinforcement learning baselines across mathematical reasoning, code generation, and software engineering tasks. The approach moves beyond static recipe-based training to jointly optimize both policies and the training infrastructure that interprets them.
Researchers introduced MedCUA-Bench, a new benchmark for evaluating AI agents performing clinical computer tasks across 18 medical scenarios. The benchmark reveals significant performance gaps, with top closed-source models achieving only 54.2% success and open-source agents averaging just 2.5%, highlighting the unpreparedness of current AI systems for reliable medical software automation.
Mastercard is expanding its on-chain settlement capabilities to include stablecoin transactions and 24/7 processing across weekends and holidays, addressing growing institutional demand for real-time payment settlement. This move signals traditional finance's deepening integration with blockchain infrastructure and reflects the market's shift toward continuous settlement cycles beyond traditional banking hours.
Researchers demonstrate that Large Reasoning Models (LRMs) frequently 'overthink' problems after reaching correct answers, with continued reasoning degrading accuracy by up to 21%. The study introduces a protocol to measure reasoning sufficiency and reveals that harmful overthinking—where additional reasoning destabilizes correct solutions—represents a broader reliability risk affecting both multimodal and language-only models.
The Blockchain Association is leveraging support from 160 former security officials to push the Senate toward passing the Clarity Act, a cryptocurrency regulatory framework. The organization plans a virtual town hall to educate lawmakers on the legislation's importance to the blockchain industry.
Microsoft announced a new quantum chip called Majorana 2 that is 1,000x more reliable than previous iterations, with AI playing a key role in accelerating its development. The advancement reignites discussions about the timeline for quantum computers becoming powerful enough to break Bitcoin's cryptographic security.
Charles Schwab, managing $12.6 trillion in client assets, plans to launch crypto spot trading, transfer, and custody capabilities for financial advisors by mid-2027. This expansion beyond its retail crypto offering would integrate direct digital asset access into advisor workflows, potentially opening crypto exposure to millions of clients managed through one of the largest US wealth management platforms.
Crypto treasury company inflows collapsed to $180 million in May, a 95% drop from April's $4.4 billion and the weakest month since October 2024. Bitcoin-linked firms captured nearly all inflows, while the broader sector faces pressure as institutional investors increasingly demand active yield generation rather than passive holdings, signaling the end of easy accumulation strategies.
