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稼働状態 正常ソース種別 研究全文利用権限 サイト内リライト最終取り込み 2026-09-29ID oreilly-ai-ml状態 有効

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最新公開記事

翻訳待ち:Not About Navier-Stokes

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要: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. But the discussion surrounding the solution crystallized some of my own thoughts about […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:Not About Navier-Stokes

翻訳待ち:From Raw Data to Graph-Native AI

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要: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. We spend much less time on the step that determines what all of them can do: turning raw […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:From Raw Data to Graph-Native AI

翻訳待ち:Human Judgment Doesn’t Leave the Software Factory, It Relocates

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要: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. We’ll discuss this including whether you need a factory just yet. If […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:Human Judgment Doesn’t Leave the Software Factory, It Relocates

翻訳待ち:Will TypeSafe’s Jev Change How We Build AI Applications?

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:The following article originally appeared on LinkedIn 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. The reason for the fuss […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:Will TypeSafe’s Jev Change How We Build AI Applications?

翻訳待ち:MCP Is Not Just Another API Standard

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要: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 metaphor. Plumbing moves water […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:MCP Is Not Just Another API Standard

翻訳待ち:The Accelerationist Case for Frontier Pacing

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要: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. That got me into the college swim team (it was a bad recruitment […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:The Accelerationist Case for Frontier Pacing

翻訳待ち:AI Sovereignty: Bargaining with Big Tech and the Promise of Full Stack Open Source AI

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:The early rapid expansion of AI capabilities that focused on frontier models was largely ushered into the world by a few powerful, US-based AI labs. Open-weight models released from labs in China, early on from DeepSeek, and later from Moonshot, Z.ai, and others, have in part disrupted that dominance. But growing concerns about the concentration […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:AI Sovereignty: Bargaining with Big Tech and the Promise of Full Stack Open Source AI

翻訳待ち:The Post-training Process OpenAI Used for ChatGPT

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:This is the third post in a four-part series about post-training. If you missed them, read part 1 and part 2. The final post, on implementing your own pipeline, will be coming October 7. Now that you understand the gist of reinforcement learning and supervised fine-tuning, it’s time to explore what post-training has actually accomplished […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:The Post-training Process OpenAI Used for ChatGPT

翻訳待ち:How to Get from AI-Assisted to AI Native

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:When considering the history of AI, Richard Sutton observed that brute force and compute scale has always trumped human expertise, and when you look for it, you can see this “bitter lesson” play out throughout tech history. In his keynote at Ai4 2026, Tim O’Reilly explains why grappling with the bitter lesson is the forge […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:How to Get from AI-Assisted to AI Native

翻訳待ち:Software Factories, Light and Dark

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:The following article originally appeared on Addy Osmani’s blog and is being republished here with the author’s permission. A software factory harnesses loops at scale. You can run the loop with humans in it (light factory), trading judgment and concentration against speed and breakage. Or you can ignore the humans (dark factory) and let those […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:Software Factories, Light and Dark

翻訳待ち:Navigating the Modern Data Lexicon: A Working Vocabulary for the Semantic Era

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:The way we talk about data is changing faster than the way we build it. Every quarter a vendor ships a new approach, coins a new term for it, or quietly adopts a term someone else has been using and redefines it to fit the shape of their product. None of this is malicious. Every […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:Navigating the Modern Data Lexicon: A Working Vocabulary for the Semantic Era

翻訳待ち:Architecting for the Knowledge You Can’t Capture

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Every knowledge program seems to begin with the same request. A senior engineer is leaving in six weeks, and someone asks her to document the process she’s carried for years. She returns a clean flowchart of the happy path. The drawing is accurate and may even be elegant. It leaves out the thresholds she watches, […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:Architecting for the Knowledge You Can’t Capture

翻訳待ち:What AI Can Teach Us About Being Human

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:My guest on this past week’s Live with Tim O’Reilly was Emmanuel Ameisen, a researcher on Anthropic’s AI interpretability team. I’d heard him give a short talk at Foo Camp on Anthropic’s research into what is going on inside an LLM while it is processing, and I wanted him to reprise the talk and then […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:What AI Can Teach Us About Being Human

翻訳待ち:Beyond Navier–Stokes: Who Controls Scientific Discovery?

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Is the current furore in mathematics the canary in the coalmine for experimental science and knowledge work? This post was originally published in Vanishing Gradients on September 11, 2026. It’s been updated to address the subsequent declaration by 25 Fields Medalists and the debate about AI, mathematical progress, and research incentives. Science without understanding? “For […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:Beyond Navier–Stokes: Who Controls Scientific Discovery?

翻訳待ち:Enterprise Analytics Beyond Dashboards: Intelligent Data Orchestration with LLMs

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:In 17 years of building enterprise data platforms, I’ve watched every organization eventually ask the same question: “Can I ask one question and get one answer across everything my company knows?” A finance analyst wants actual revenue from the warehouse, pipeline data from the CRM, commentary from planning documents, and market signals from external providers. […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:Enterprise Analytics Beyond Dashboards: Intelligent Data Orchestration with LLMs

翻訳待ち:The Interfaces Are Arriving

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:The most consequential AI news of the past year came from a standards body. In December 2025, Anthropic donated the Model Context Protocol to the newly formed Agentic AI Foundation, a directed fund under the Linux Foundation cofounded by Anthropic, Block, and OpenAI, with support from Google, Microsoft, AWS, Cloudflare, and Bloomberg. Six months earlier, […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:The Interfaces Are Arriving

翻訳待ち:Operating Mode as Runtime State: A Contract for Enterprise

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:During a service incident, a customer-remediation workflow is moved onto an emergency route because the situation is critical and the team needs a fast resolution. Approvals are shortened, a priority queue is opened, and an on-call agent is cleared to use an alternate procedure until the service recovers. The incident ends, but the route stays […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:Operating Mode as Runtime State: A Contract for Enterprise

翻訳待ち:When Content Is Free, Trust Is the Product

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:There is more technical content available today than any human being could read in a thousand lifetimes. Every topic has a dozen YouTube videos, three Substack posts, a GitHub repo, and a Reddit thread, most created in the last six months and, in many cases, technically accurate. And yet most of the professionals I talk […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:When Content Is Free, Trust Is the Product

翻訳待ち:Own the Outer Loop

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:The following article originally appeared on Addy Osmani’s blog and is being republished here with the author’s permission. In the past year, the conversation around agentic engineering has moved to harnesses and loops, fleets and software factories. My 2 cents is engineers need to own the outer loop—the accountability for these systems. This only gets […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:Own the Outer Loop

翻訳待ち:LLMs Reward Expertise

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:The following article originally appeared on Sean Goedecke’s blog and is being republished here with the author’s permission. In the 2010s, if you had technical gaps (say, you couldn’t write CSS), you had to either rely on a skilled colleague or just hope that the answer to your exact problem was out there on the […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:LLMs Reward Expertise

翻訳待ち:Architectural Guardrails for AI-Generated Code

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Consider a composite of a failure pattern that’s becoming increasingly common on teams that have scaled AI-assisted development past a handful of enthusiasts. A staff engineer named Priya opens a pull request. The PR is 340 lines and adds an endpoint that writes to the customer table directly, bypassing the internal customer service API. The […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:Architectural Guardrails for AI-Generated Code

翻訳待ち:Tokens Aren’t Dollars

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:The following article originally appeared on Tim O’Brien’s Medium blog and is being republished here with the author’s permission. AI costs are easy to count and hard to understand, and judging effort by a token volume? While that might feel like a valid measure of value or complexity, it doesn’t capture the details that define […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:Tokens Aren’t Dollars

翻訳待ち:Writing with AI

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:A lot of professional writers say they never do it. And for writers who do, the consequences can be serious. Book contracts have been withdrawn. People have lost jobs. I have a contrarian view. I say AI is a medium, like painting, sculpture, photography, music, or language itself. If AI is a medium, it is […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:Writing with AI

翻訳待ち:The Identity Crisis No One Planned For: Governing Non-Human Agents at Enterprise Scale

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:For a decade, identity and access management meant one thing: governing the humans who log in. Employee joins, gets provisioned, gets a manager, gets a departure date, gets offboarded. That loop is well understood. What changed is that the fastest-growing population inside enterprise environments is no longer human, and the governance playbook written for people […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:The Identity Crisis No One Planned For: Governing Non-Human Agents at Enterprise Scale

翻訳待ち:Effective Patterns for Advanced MCP Usage

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:The following article originally appeared on PulseMCP’s blog and is being republished here with the authors’ permission. Most MCP demos feature a single server connecting to a single client. For example, you might wire up a Gmail MCP server to Claude Code. It works! It triages your inbox, drafts replies, finds that thing from three […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:Effective Patterns for Advanced MCP Usage

翻訳待ち:When Smaller Models Win

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:Even the best AI models can suck at chess The launch of ChatGPT had an interesting effect on the online chess discourse. Chess has already long been conquered by machines. As early as 1996 a computer (IBM’s Deep Blue) was able to beat the human world champion, grandmaster Garry Kasparov, in a game watched by […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:When Smaller Models Win

翻訳待ち:The Design System as the Control Plane for AI-Generated UI

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:AI-assisted development has made it easier to generate frontend code quickly. A developer can ask for a form, a dashboard widget, a settings page, or a modal flow and get a working first draft in seconds. That speed is useful, especially when teams are moving through routine UI work. But speed creates a problem that’s […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:The Design System as the Control Plane for AI-Generated UI

翻訳待ち:Shadow Agents, Standing Privileges, and the Governance Gap Between Deployment and Discovery

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:There was a brief window where AI agent security felt like a future problem. Organizations deployed copilots, coding assistants, and autonomous workflows on the assumption that the worst case was a bad recommendation or a hallucinated answer. That window closed in the first half of 2026, when a cluster of vulnerabilities and a landmark incident […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:Shadow Agents, Standing Privileges, and the Governance Gap Between Deployment and Discovery

翻訳待ち:Data Intelligence: Building Your Competitive Advantage in the Era of AI

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:To keep pace with modern business, data strategy is shifting toward more autonomous real-time systems that deliver intelligence at the moment decisions are made. Driven by agentic AI, modern data teams are moving beyond simply looking at what happened. Now they’re automating complex workflows that analyze what’s happening, anticipate what might happen next, and recommend […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:Data Intelligence: Building Your Competitive Advantage in the Era of AI

翻訳待ち:The Agent-Era Career

AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要:The following article originally appeared on Addy Osmani’s blog site and is being republished here with the author’s permission. If the AI layer gets good at anything, it will be anything that has an answer key. School used to be answer keys all the way down. School is the ultimate anchoring of success, because it’s […]

O'Reilly AI & ML Radarサイト内本文翻訳待ち:The Agent-Era Career

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