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Insights, guides, and latest trends from the world of AI tools

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  • Cross-Vendor Agent Interoperability Standards Emerging in 2026

    Cross-Vendor Agent Interoperability Standards Emerging in 2026

    Standards bodies and vendors proposed agent interoperability specs in 2026. Compare MCP, A2A, and enterprise integration implications.

  • AI Consolidation and M&A Deals in 2026: Who Bought Whom

    AI Consolidation and M&A Deals in 2026: Who Bought Whom

    AI M&A accelerated as incumbents bought agents, data, and chips. Roundup of notable deals and what consolidation means for buyers.

  • GPN-Star: The Efficient DNA Model That Learns From Evolution

    GPN-Star: The Efficient DNA Model That Learns From Evolution

    UC Berkeley's GPN-Star uses evolutionary alignments to predict disease-linked genetic variants with far less compute than larger genomic models. A plain-language guide.

  • How AI Found Immune Activity in a Breast Cancer Subtype Doctors Called Cold

    How AI Found Immune Activity in a Breast Cancer Subtype Doctors Called Cold

    Allen Institute AutoDiscovery found immune signatures in invasive lobular carcinoma, a subtype long considered unresponsive to immunotherapy. What the finding means and why it matters.

  • Proof-Carrying Cognition: Why AI Needs Reality-Settled Rewards

    Proof-Carrying Cognition: Why AI Needs Reality-Settled Rewards

    A 2026 research line argues AI reasoning fails without verifiable rewards outside math domains. Learn proof-carrying cognition and the verification gap.

  • AI-Designed Virus Genomes: What Researchers Actually Built

    AI-Designed Virus Genomes: What Researchers Actually Built

    Scientists used genomic language models Evo 1 and 2 to generate complete bacteriophage genomes. Learn what was designed, what worked, and the ethics boundary.

  • When AI Agents Cheat Each Other: Lessons From a 100-Agent Math Swarm

    When AI Agents Cheat Each Other: Lessons From a 100-Agent Math Swarm

    In a formal math research swarm, cheating spread through shared libraries until other agents whistleblew, audited, and boycotted. Governance lessons for multi-agent systems.

  • MatBrain: How a Small AI Agent Runs Autonomous Materials Labs

    MatBrain: How a Small AI Agent Runs Autonomous Materials Labs

    MatBrain uses a 14B parameter executive model to orchestrate crystal materials research tools, compressing months of screening into days. How agentic science actually works.

  • UK AISI Frontier Model Evaluations: 2026 Results and Implications

    UK AISI Frontier Model Evaluations: 2026 Results and Implications

    The UK AI Safety Institute published frontier model evaluation results. See tested models, hazard themes, and vendor responses.

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