O’Reilly Media – Context Engineering: Bringing Engineering Discipline to Prompts—Part 3

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,…

Latest from MIT Tech Review – Meet the researcher hosting a scientific conference by and for AI

In October, a new academic conference will debut that’s unlike any other. Agents4Science is a one-day online event that will encompass all areas of science, from physics to medicine. All of the work shared will have been researched, written, and reviewed primarily by AI, and will be presented using text-to-speech technology.  The conference is the…

O’Reilly Media – Generative AI in the Real World: Understanding A2A with Heiko Hotz and Sokratis Kartakis

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…

Latest from MIT Tech Review – In a first, Google has released data on how much energy an AI prompt uses

Google has just released a technical report detailing how much energy its Gemini apps use for each query. In total, the median prompt—one that falls in the middle of the range of energy demand—consumes 0.24 watt-hours of electricity, the equivalent of running a standard microwave for about one second. The company also provided average estimates…

O’Reilly Media – We Are Only Beginning to Understand How to Use AI

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…

O’Reilly Media – From Automation to Insight

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….

O’Reilly Media – Why AI-Driven Client Apps Don’t Understand Your API

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 MCP-driven platforms (Model Context Protocols) designed to…

O’Reilly Media – Context Engineering: Bringing Engineering Discipline to Prompts—Part 2

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…

Latest from MIT : A new model predicts how molecules will dissolve in different solvents

Using machine learning, MIT chemical engineers have created a computational model that can predict how well any given molecule will dissolve in an organic solvent — a key step in the synthesis of nearly any pharmaceutical. This type of prediction could make it much easier to develop new ways to produce drugs and other useful…