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

Tomorrow, First. News and intelligence for the agentic economy

  • Data poisoning

    Data poisoning is a deliberate attack that corrupts AI training data to introduce backdoors, biases, or vulnerabilities. Learn how it works and how to defend against it.

  • How AI Agents Make Decisions: The Engine Behind Autonomous Systems

    The Invisible Decision-Maker Imagine you are hiring a highly capable, tireless research assistant. You give them a complex task—say, “Find the best travel route for a multi-city trip and book the hotels.” You don’t expect them to guess the answer instantly. You expect them to look at a map, check flight availability, compare hotel prices,…

  • Machine Payments Protocol (MPP)

    What is the Machine Payments Protocol (MPP)? The Machine Payments Protocol (MPP) is a payment infrastructure protocol developed by Stripe and Tempo that enables AI agents and automated systems to execute payments programmatically across multiple payment rails. Launched on March 18, 2026, MPP provides a unified interface for agent-driven commerce, allowing AI systems to initiate,…

  • The AI Agent Economy: When Software Earns, Spends, and Trades

    Defining the Agentic Economy Imagine you are planning a complex business trip. Today, you might use a chatbot to find flight options, but you still have to manually book the tickets, reserve the hotel, and update your calendar. In the emerging agentic economy, you don’t do the booking. Instead, you delegate the entire workflow to…

  • Reinforcement learning

    Reinforcement learning teaches AI to align with human preferences through rewards and penalties. Learn how RLHF, DPO, GRPO, and RLVR work, why reward hacking matters, and how these techniques power the agentic economy.

  • Blockchain

    What is a blockchain? A blockchain is a database maintained by a network of independent computers — called nodes — that agree on every update through a shared protocol, rather than relying on a single central authority [1]. Data is stored in blocks that are cryptographically linked to each other in sequence, making the history…

  • Function calling / Tool use

    What is function calling? Function calling — also called tool calling or tool use — is the mechanism that lets a large language model (LLM) request that external software run on its behalf. Instead of generating a final answer from its training data alone, the model outputs a structured message — typically a function name…

  • Prompt engineering

    Prompt engineering is the practice of designing and refining the instructions, context, and examples given to a large language model to produce accurate, relevant, and useful outputs—bridging human intent and model behavior through structured communication.

  • Embeddings / Vector databases

    Understanding Embeddings and Vector Databases In the world of modern AI, computers need a way to understand the ‘meaning’ behind human language, images, and audio. Embeddings are the bridge between raw data and machine understanding. They are numerical vector representations—essentially long lists of numbers—produced by machine learning models. In this mathematical space, items that share…