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O'Reilly Radar - AI/ML

Stay updated with the latest developments in Artificial Intelligence

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Latest AI News

  • When Architecture Decisions Actually Apply

    In my previous Radar article, “Architectural Guardrails for AI-Generated Code,” I argued that AI coding agents need a layer that can hold architectural decisions in a structured corpus, retrieve the relevant ones, put them into the agent’s context before it writes code, and enforce explicit…

    O'Reilly Radar - AI/ML9 min read

  • Designing Websites for People and AI Agents with WebMCP

    The following article originally appeared on the Agentic AI Foundation blog and is being reposted here with the author’s permission. Websites are designed for people. We can look at a page and quickly understand where to enter information or which control will complete an action.

    O'Reilly Radar - AI/ML6 min read

  • Intent, Not Identity

    On a recent episode of This Week in AI, we discussed that the number of nonhumans on the internet is greater than humans, 144 to 1. It’s an estimate, and the order of magnitude is more important than the number itself. What matters is what a ratio anywhere in that range does to a security […]

    O'Reilly Radar - AI/ML3 min read

  • Build Your Own Post-training Pipeline

    This is the final post in a four-part series about post-training. If you missed them, check out part 1, part 2, and part 3. Time to get your hands dirty! I’ll take you through implementing the key pieces of the classic ChatGPT pipeline: SFT, then reward model training, then PPO.

    O'Reilly Radar - AI/ML11 min read

  • How to Build Reliable AI Agent Systems for Production

    The following article was originally published on the Agentic AI Foundation blog site and is being republished here with the author’s permission. A customer asks your company’s AI agent to update the shipping address on account 123.

    O'Reilly Radar - AI/ML7 min read

  • Coding Agents Love Decision Records

    The following article originally appeared on Duncan Davidson’s blog and is being republished here with the author’s permission. Decision records give coding agents durable project context—as long as they don’t turn every decision into a courtroom transcript.

    O'Reilly Radar - AI/ML4 min read

  • The Future of Software May Be Conversational Rather Than Autonomous

    The following article originally appeared on Robert Englander’s blog site and is being reposted here with the author’s permission. The software industry has become deeply focused on autonomous AI systems. Agents that can replace workers. Agents that can write software.

    O'Reilly Radar - AI/ML6 min read

  • The Agentic Data Science Playbook

    The following article originally appeared on Vanishing Gradients and is being republished here with the authors’ permission When an AI agent can explore a dataset, choose a modeling approach, run the analysis, and explain its findings, what should the data scientist do?

    O'Reilly Radar - AI/ML19 min read

  • Evaluating AI-Generated Frontend Code: What Should We Actually Test?

    AI can now generate a surprising amount of frontend code from a short description. A developer can ask for a form, a table, a modal, a settings page, or a dashboard view and get something that looks usable almost immediately. It may compile, render, and even arrive with a few tests.

    O'Reilly Radar - AI/ML10 min read

  • Superpowers for Humans

    I’ve known Jesse Vincent for more than 20 years, since the days when I was still editing and publishing Perl books and organizing the Perl Conference and he was the chief maintainer of Perl 5 and the project manager for Perl 6.

    O'Reilly Radar - AI/ML15 min read

  • Not About Navier-Stokes

    This post isn’t about OpenAI’s use of AI to solve the Navier-Stokes problem, one of the Millennium Prize problems, at least not directly. I’m not a mathematician; I have a vague understanding of the problem and certainly no understanding of the proof.

    O'Reilly Radar - AI/ML4 min read

  • A Data Center Is a Dependency Graph Before It Is a Building

    The buildings and physical infrastructure for a new hyperscale data-center region are complete. Power is live and redundant, the cooling loops are balanced, the network fabric is up, and tens of thousands of machines are racked, cabled, and reporting healthy.

    O'Reilly Radar - AI/ML11 min read

  • From Raw Data to Graph-Native AI

    I’ve been thinking about a gap in the way we discuss graphs in AI. Most of the conversation starts after the graph already exists. We talk about graph neural networks, GraphRAG, graph agents, and graph foundation models.

    O'Reilly Radar - AI/ML7 min read

  • Human Judgment Doesn’t Leave the Software Factory, It Relocates

    The following article originally appeared on Elevate and is being reposted here with the author’s permission. A software factory is a repeatable loop around software work. If you’re building a software factory, code good enough to ship still needs human taste and ownership.

    O'Reilly Radar - AI/ML21 min read

  • Will TypeSafe’s Jev Change How We Build AI Applications?

    The following article originally appeared on Arize’s blog and is being reposted here with the author’s permission. This week the AI community was in uproar about Jev from TypeSafe, not just a new model but a new kind of model: one that classifies, scores, and routes but can’t write a sentence.

    O'Reilly Radar - AI/ML9 min read

  • MCP Is Not Just Another API Standard

    Ask most engineers what MCP is and you’ll get the same answer: a way to plug tools into an LLM. Fair enough, as far as it goes. But that description treats MCP like plumbing, and after months building MCP-based integrations for large enterprise platforms, I don’t think plumbing is the right…

    O'Reilly Radar - AI/ML12 min read

  • The Accelerationist Case for Frontier Pacing

    The following article originally appeared on Venkatesh Rao’s Substack, Contraptions, and is being republished here with the author’s permission. The sole athletic achievement of my life came in 1993: winning the IIT Bombay freshman 50m freestyle race with a time of 41s.

    O'Reilly Radar - AI/ML23 min read

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