Taming the Delightful Chaos – O’Reilly
What the Computerization of Wall Street Can Teach Us About AI| O’Reilly Media
The following article comes from two blog posts by Drew Breunig: “How Long Contexts Fail” and “How to Fix Your Contexts.” Managing Your Context Is the Key to Successful Agents As frontier model context windows continue to grow,1 with many supporting up to 1 million tokens, I see many excited discussions about how long-context windows […]| Radar
MCP—the Model Context Protocol introduced by Anthropic in November 2024—is an open standard for connecting AI assistants to data sources and development environments. It’s built for a future where every AI assistant is wired directly into your environment, where the model knows what files you have open, what text is selected, what you just typed, […]| Radar
Choosing the right LLM has become a full-time job. New models appear almost daily, each offering different capabilities, prices, and quirks, from reasoning strengths to cost efficiency to code generation. This competition creates strong incentives for AI labs to carve out a niche and gives new startups room to emerge, resulting in a fragmented landscape […]| Radar
Matt Garman’s statement that firing junior developers because AI can do their work is the “dumbest thing I’ve ever heard” has almost achieved meme status. I’ve seen it quoted everywhere. We agree. It’s a point we’ve made many times over the past few years. If we eliminate junior developers, where will the seniors come from? […]| Radar
The following is Part 3 of 3 from Addy Osmani’s original post “Context Engineering: Bringing Engineering Discipline to Parts.” Part 1 can be found here and Part 2 here. Context engineering is crucial, but it’s just one component of a larger stack needed to build full-fledged LLM applications—alongside things like control flow, model orchestration, tool integration, […]| Radar
Everyone is talking about agents: single agents and, increasingly, multi-agent systems. What kind of applications will we build with agents, and how will we build with them? How will agents communicate with each other effectively? Why do we need a protocol like A2A to specify how they communicate? Join Ben Lorica as he talks with […]| Radar
I remember once flying to a meeting in another country and working with a group of people to annotate a proposed standard. The convener projected a Word document on the screen and people called out proposed changes, which were then debated in the room before being adopted or adapted, added or subtracted. I kid you […]| Radar
As an acquisitions editor at O’Reilly, I spend considerable time tracking our authors’ digital footprints. Their social media posts, speaking engagements, and online thought leadership don’t just reflect expertise—they directly impact book sales and reveal promotional strategies worth replicating. Not surprisingly, some of our best-selling authors are social media mavens whose posting output is staggering. […]| Radar
Recent surveys point to a massive growth in AI-driven bots crawling the internet looking for APIs. While many of these have malicious intent, a growing number are well-meaning API consumers just trying to discover, consume, and benefit from existing APIs. And, increasingly, these API requests are coming from Model Context Protocol (MCP)-driven platforms designed to […]| Radar
We think we see the world as it is, but in fact we see it through a thick fog of received knowledge and ideas, some of which are right and some of which are wrong. Like maps, ideas and beliefs shape our experience of the world. The notion that AI is somehow unprecedented, that artificial […]| Radar
The following is Part 2 of 3 from Addy Osmani’s original post “Context Engineering: Bringing Engineering Discipline to Parts.” Part 1 can be found here. Great context engineering strikes a balance—include everything the model truly needs but avoid irrelevant or excessive detail that could distract it (and drive up cost). As Andrej Karpathy described, context […]| Radar
As I was waiting to start a recent episode of Live with Tim O’Reilly, I was talking with attendees in the live chat. Someone asked, “Where do you get your up-to-date information about what’s going on in AI?” I thought about the various newsletters and publications I follow but quickly realized that the right answer […]| Radar
What the Computerization of Wall Street Can Teach Us About AI| O’Reilly Media
Since ChatGPT appeared on the scene, we’ve known that big changes were coming to computing. But it’s taken a few years for us to understand what they were. Now, we’re starting to understand what the future will look like. It’s still hazy, but we’re starting to see some shapes—and the shapes don’t look like “we won’t […]| Radar
Last month, I spoke with Matthew Prince, cofounder and CEO of Cloudflare, as part of my ongoing series of public conversations, Live with Tim O’Reilly. Cloudflare made waves with its July 1 announcement that it will block AI crawlers by default and give content owners the ability to decide who can use their material for […]| Radar
For most people, the face of AI is a chat window. You type a prompt, the AI responds, and the cycle repeats. This conversational model—popularized by tools| O’Reilly Media
We’ll start with a confession: Even after years of designing enterprise systems, AI architecture is still a moving target for us. The landscape shifts so fast that what feels cutting edge today might be table stakes tomorrow. But that’s exactly why we wanted to share these thoughts—because we’re all learning as we go.| O’Reilly Media
A Conversation with ChatGPT and Gemini About Job Losses from AI| O’Reilly Media
Chatbots Are More Than Just Their Models.| O’Reilly Media
0:00: Introduction to Raiza Martin, who cofounded Huxe and formerly led Google’s NotebookLM team. What made you think this was the time to trade the comforts of big tech for a garage startup?| O’Reilly Media
We’re still in the early days of GenAI adoption, but it’s clear that LLMs are going to materially impact the way that software is built and that engineering orgs are managed. But what does that mean for your job, your career, and your org?| O’Reilly Media
Developers are doing incredible things with AI. Tools like Copilot, ChatGPT, and Claude have rapidly become indispensable for developers, offering unprecedented speed and efficiency in tasks like writing code, debugging tricky behavior, generating tests, and exploring unfamiliar libraries and frameworks. When it works, it’s effective, and it feels incredibly satisfying.| O’Reilly Media
This is the first of four parts in this series.| O’Reilly Media
On some level, every engineering leader knows that strategy matters. And yet many teams remain stuck in reactive cycles, lurching from crisis to crisis, untethered from clear direction. This disconnect between recognizing the importance of strategy and actually practicing strategy well was at the heart of O’Reilly’s June 23rd CTO Hour, where host Peter Bell sat down with renowned engineering leader and best-selling author Will Larson. Together, they explored how deliberate, structured dec...| O’Reilly Media
This is the second of four parts in this series. Part 1 can be found here.| O’Reilly Media
Everyone’s talking about microservices. Who’s actually doing it?| O’Reilly Media
Can AI Do Revolutionary Science? And If It Can, What Does That Mean?| O’Reilly Media
Developments in AI, Gadgets, Quantum Computing, and More| O’Reilly Media
There’s a lot of chatter in the media that software developers will soon lose their jobs to AI. I don’t buy it.| O’Reilly Media
What O'Reilly Learning Platform Usage Tells Us About Where the Industry Is Headed| O’Reilly Media
Developments in Security, Programming, AI, and More| O’Reilly Media
The only thing to fear is failing to make the transition to AI-assisted programming| O’Reilly Media
The Limitations of Natural Language Prompts for Complex AI Interactions| O’Reilly Media
To hear directly from the authors on this topic, sign up for the upcoming virtual event on June 20th, and learn more from the Generative AI Success Stories Superstream on June 12th.| O’Reilly Media
The Replacement of Organic Search with Advertising by Google and Amazon and What That Might Mean for the Future of AI| O’Reilly Media
Thoughts about the outcome of the NYT versus OpenAI copyright lawsuit| O’Reilly Media
Generative AI has been the biggest technology story of 2023. Almost everybody’s played with ChatGPT, Stable Diffusion, GitHub Copilot, or Midjourney. A few have even tried out Bard or Claude, or run LLaMA1 on their laptop. And everyone has opinions about how these language models and art generation programs are going to change the nature of work, usher in the singularity, or perhaps even doom the human race. In enterprises, we’ve seen everything from wholesale adoption to policies that se...| O’Reilly Media
In December 2021 and January 2022, we asked recipients of our Data and AI Newsletters to participate in our annual survey on AI adoption. We were particularly interested in what, if anything, has changed since last year. Are companies farther along in AI adoption? Do they have working applications in production? Are they using tools like AutoML to generate models, and other tools to streamline AI deployment? We also wanted to get a sense of where AI is headed. The hype has clearly moved o...| O’Reilly Media
