AI × Crypto News Feed

Swift Advances Dual-Track Strategy for Faster Cross-Border Payments and Tokenized Value

Crypto Safe Harbor Or Trap? SEC Plan Could Change Everything Over Night

CertiK unveils AI Auditor to improve early detection of blockchain vulnerabilities

How North Korea's 6-month long secret espionage program has crypto community rethinking security

Solana Foundation unveils security overhaul days after $270 million Drift exploit

Africa’s Crypto Adoption Jumps 52% as South Africa, Nigeria, Kenya, and Mauritius Advance Regulation

Anthropic secures multi gigawatt TPU deal with Google and Broadcom

Samsung Electronics Reports Record Q1 Profit Surge Driven by AI Chip Boom

Ethereum (ETH) Surges Past $2,100 as Spot ETFs Record $120M Daily Inflows

SEC Chair Atkins Announces Reg Crypto Exemption For Token Fundraising

Bitcoin ETF inflows hit highest level since February

Polygon to activate Giugliano hardfork this week for faster finality

Polygon is set to activate the Giugliano hardfork on April 8, 2024, which will improve transaction finality and integrate fee parameters directly into block headers. This upgrade aims to enhance the network's performance and efficiency for users and developers.

New evidence in Libra probe renews questions about Milei involvement

New documents revealed by The New York Times show that Argentine President Milei had seven phone calls with the entrepreneur behind the Libra token, raising fresh questions about his potential involvement in the project. This evidence emerges as part of an ongoing investigation into the controversial cryptocurrency initiative.

Solana Foundation looks to beef up DeFi security as attacks continue

The Solana Foundation and Web3 security firm Asymmetric Research launched a new security initiative called STRIDE along with a real-time incident-response network. This move comes as DeFi attacks continue to plague the Solana ecosystem, highlighting the need for enhanced security measures.

Iranian missile incident raises doubts about regime fall odds, now at 13.5%: FT

Iran's recent missile capabilities demonstration has reduced market expectations for regime collapse, with odds dropping to 13.5%. The military display suggests greater regime stability than previously anticipated, potentially affecting geopolitical risk assessments.

AI Trust OS -- A Continuous Governance Framework for Autonomous AI Observability and Zero-Trust Compliance in Enterprise Environments

Researchers propose AI Trust OS, a new governance framework that uses continuous telemetry and automated probes to discover and monitor AI systems across enterprise environments. The system addresses compliance gaps in AI governance by shifting from manual attestation to autonomous observability, automatically registering undocumented AI systems through telemetry analysis.

Beyond Retrieval: Modeling Confidence Decay and Deterministic Agentic Platforms in Generative Engine Optimization

Researchers propose a new approach to Generative Engine Optimization (GEO) that moves beyond current RAG-based systems to deterministic multi-agent platforms. The study introduces mathematical models for confidence decay in LLMs and demonstrates near-zero hallucination rates through specialized agent routing in industrial applications.

AI Assistance Reduces Persistence and Hurts Independent Performance

A new study of 1,222 participants found that AI assistance, while improving short-term performance, significantly reduces human persistence and impairs independent performance after only brief 10-minute interactions. The research suggests current AI systems act as short-sighted collaborators that condition users to expect immediate answers, potentially undermining long-term skill acquisition and learning.

PolySwarm: A Multi-Agent Large Language Model Framework for Prediction Market Trading and Latency Arbitrage

PolySwarm is a new multi-agent AI framework that uses 50 diverse large language models to trade on prediction markets like Polymarket, combining swarm intelligence with arbitrage strategies. The system outperformed single-model baselines in probability calibration and includes latency arbitrage capabilities to exploit pricing inefficiencies across markets.

Readable Minds: Emergent Theory-of-Mind-Like Behavior in LLM Poker Agents

Research published on arXiv demonstrates that large language models playing poker can develop sophisticated Theory of Mind capabilities when equipped with persistent memory, progressing to advanced levels of opponent modeling and strategic deception. The study found memory is necessary and sufficient for this emergent behavior, while domain expertise enhances but doesn't gate ToM development.

Quantifying Trust: Financial Risk Management for Trustworthy AI Agents

Researchers introduce the Agentic Risk Standard (ARS), a payment settlement framework for AI-mediated transactions that provides contractual compensation for agent failures. The standard shifts trust from implicit model behavior expectations to explicit, measurable guarantees through financial risk management principles.

The Topology of Multimodal Fusion: Why Current Architectures Fail at Creative Cognition

Researchers identify a fundamental topological limitation in current multimodal AI architectures like CLIP and GPT-4V, proposing that their 'contact topology' structure prevents creative cognition. The paper introduces a philosophical framework combining Chinese epistemology with neuroscience to propose new architectures using Neural ODEs and topological regularization.

Comparative reversal learning reveals rigid adaptation in LLMs under non-stationary uncertainty

Research reveals that large language models like DeepSeek-V3.2, Gemini-3, and GPT-5.2 show rigid adaptation patterns when learning from changing environments, particularly struggling with loss-based learning compared to humans. The study found LLMs demonstrate asymmetric responses to positive versus negative feedback, with some models showing extreme perseveration after environmental changes.

Springdrift: An Auditable Persistent Runtime for LLM Agents with Case-Based Memory, Normative Safety, and Ambient Self-Perception

Researchers have developed Springdrift, a persistent runtime system for long-lived AI agents that maintains memory across sessions and provides auditable decision-making capabilities. The system was successfully deployed for 23 days, during which the AI agent autonomously diagnosed infrastructure problems and maintained context across multiple communication channels without explicit instructions.

ShieldNet: Network-Level Guardrails against Emerging Supply-Chain Injections in Agentic Systems

Researchers have identified a new class of supply-chain threats targeting AI agents through malicious third-party tools and MCP servers. They've created SC-Inject-Bench, a benchmark with over 10,000 malicious tools, and developed ShieldNet, a network-level security framework that achieves 99.5% detection accuracy with minimal false positives.