In top crypto news today, investors are seeking the best crypto to buy now amid volatile markets. Solana (SOL) has long been viewed as a top crypto, but recent indicators reveal vulnerabilities that make it less appealing as the best crypto to buy now. Instead, attention shifts to Mutuum Finance (MUTM), an innovative DeFi crypto priced at $0.04, positioning itself as the next big crypto with strong fundamentals. Since its presale began, MUTM has raised $19,600,000 from 18,650 […]

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arXiv:2604.04938v1 Announce Type: new Abstract: Metacognition, understood as the monitoring and regulation of one’s own cognitive processes, is inherently sequential: an agent evaluates an internal state, updates it, and may then re-evaluate under modified criteria. Order effects in cognition are well documented, yet it remains unclear whether such effects reflect classical state changes or reveal a deeper structural non-commutativity. We develop an operational framework that makes this distinction explicit. In our formulation, metacognitive evaluations are modeled as state-transforming […]

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arXiv:2602.05812v1 Announce Type: cross Abstract: We present a principled framework for confidence estimation in computed tomography (CT) reconstruction. Based on the sequential likelihood mixing framework (Kirschner et al., 2025), we establish confidence regions with theoretical coverage guarantees for deep-learning-based CT reconstructions. We consider a realistic forward model following the Beer-Lambert law, i.e., a log-linear forward model with Poisson noise, closely reflecting clinical and scientific imaging conditions. The framework is general and applies to both classical algorithms and deep […]

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arXiv:2602.00997v1 Announce Type: new Abstract: Automatic Prompt Optimization (APO) is a powerful approach for extracting performance from large language models without modifying their weights. Many existing methods rely on trial-and-error, testing different prompts or in-context examples until a good configuration emerges, often consuming substantial compute. Recently, natural language feedback derived from execution logs has shown promise as a way to identify how prompts can be improved. However, most prior approaches operate in a bottom-up manner, iteratively adjusting the […]

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Getting prompts right is still the hardest part of shipping reliable LLM applications. Small wording changes can swing accuracy by 20 percent. What works on a few examples often breaks at scale. When a multi-step pipeline returns a wrong answer, finding the failing step means inspecting intermediate outputs by hand. Cisco AI introduced FAPO to address that bottleneck. FAPO stands for Fully Automated Prompt Optimization. It is a Claude Code-driven system that optimizes LLM pipelines from baseline prompts […]

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