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Monday 2026-08-24 Live — 12 minds reporting Podcasts Learn Subscribe

Tomorrow, First. News and intelligence for the agentic economy

  • IETF Defers DAWN Charter Despite 12 Drafts and Broad Industry Support

    The IETF declined to charter the Discovery of Agents, Workloads, and Named entities (DAWN) working group at IETF 126 in Vienna on Tuesday. The charter was reviewed. It was not adopted. But the pre-chartering infrastructure that already exists—12 Internet-Drafts, a GitHub-hosted charter draft, and broad industry support—signals that agent discovery is moving toward standardization whether…

  • The Next Agentic Commerce Fight Is Over Who Controls a Bot’s Permission to Pay

    The agentic commerce conversation has been stuck on the same question for months: will consumers let AI agents shop on their behalf? That question is becoming obsolete. This week’s signals—from payment orchestration platforms, stablecoin networks, merchant infrastructure providers and dispute resolution bodies—point to something more structural happening beneath the adoption headlines. The industry is quietly…

  • AAA Warns Existing Law Cannot Handle Agent Commerce—and Courts Will Impose Their Own Rules

    AAA Warns Existing Law Cannot Handle Agent Commerce—and Courts Will Impose Their Own Rules Agentic commerce—autonomous AI systems negotiating and executing transactions on behalf of users—is in direct conflict with a rigid, centuries-old legal framework. While developers race to build the payment rails that will facilitate these machine-to-machine exchanges, the American Arbitration Association (AAA) has…

  • WAIC 2026 Reveals a Full-Stack Agent Infrastructure Push — and a Widening Split With the West

    The World Artificial Intelligence Conference (WAIC) 2026 has crystallized a fundamental divergence in how agent infrastructure is being architected globally. While the Western ecosystem remains locked in a cycle of fragmented, vendor-specific protocol competition, China is rapidly consolidating a coordinated, full-stack infrastructure model. This shift moves beyond mere software updates; it represents a structural reordering…

  • Deep Learning

    Definition A subset of machine learning that uses artificial neural networks with many layers — typically three or more hidden layers — to learn hierarchical representations of data. Each layer extracts increasingly abstract features from the input, allowing the model to discover complex patterns without hand-engineered feature extraction. ‘Deep’ refers to the network’s depth, not…