RSSAmplifier

Blog

Radar

Now, next, and beyond: Tracking need-to-know trends at the intersection of business and technology

oreilly.comRSS feed ↗15 posts

Latest posts

This Week in AI: When agents outnumber people

AI agents are multiplying, and many of the systems used to manage them weren’t designed for their scale or speed. This week, host Vicki Reyzelman, a senior solutions engineer at Akamai, used one figure to connect developments in cybersecurity, infrastructure, education, and AI governance: For every human on the internet, there are 144 agents. That [ ]

The Intent Debt

The following article originally appeared on Addy Osmani’s blog site and is being republished here with the author’s permission. Technical debt lives in your code. Cognitive debt lives in your head. Intent debt lives in the artifacts you may never have written: the goals, constraints, and rationale for why the system is the way it [ ]

Prompt Debt and “Fighting the Weights”

Drew Breunig is one of the smartest voices writing about AI today. He s the CEO and co-founder of cmpnd.ai, and a long-time hacker with a depth of experience from several eras, which is a surprisingly valuable asset these days. He s also got a book on the way, The Context Engineering Handbook, already in early release [ ]

Generative AI in the Real World: AI for Real Estate with Ben Miller

A typical apartment building generates data on everything from leaking toilet flappers to tenant demographics, yet most of the real estate industry still runs its analysis by hand in spreadsheets. Fundrise co-founder and RealAI CEO Ben Miller argues the missing piece isn t a better AI model but a proprietary data layer that general-purpose tools can t [ ]

Why “It Depends” Is the Most Future-Proof Phrase in Software

Ask an architect almost any question and you ll get the same answer: It depends. For years this answer has been the punchline of jokes about architects, but in an era when AI can generate a working service faster than you can describe it, “it depends” is one of the most important phrases in software. It [ ]

The Two Pillars of Post-training: Reinforcement Learning and Supervised Fine-Tuning

This is the second article in Sharon Zhou’s post-training series. Read part 1 here. In the first post of this series, you learned how post-training closed the fundamental gap in usability of LLMs by making them behave in a certain way. In this post, you’ll explore specific techniques you can use to change a model’s [ ]

A Home for Personal Context

Every agent I use is building a model of me. Claude has learned how I like my prose. ChatGPT remembers what I’m working on. I don’t mind this—every person I have a relationship with carries a model of me in their head, and every company I do business with keeps a profile. Other people’s understandings [ ]

Zero to Agent in 30 Minutes: Build a YouTube Analytics Agent with Vicki Reyzelman

On the most recent episode of Zero to Agent in 30 Minutes, Vicki Reyzelman, senior solutions engineer at Akamai Technologies, drew on more than 25 years in technology and a background in software engineering to build an agent for her Chat About AI YouTube channel. Vicki wanted the agent to monitor channel performance, identify bottlenecks, [ ]

The Base Is Under Attack

The following article originally appeared on Tim O’Brien’s Medium page and is being republished here with the author’s permission. At some point, the software “Security” industry stopped talking about stopping threats and started talking about detecting them: detection windows, response times, mean time to remediate. It’s not offense or prevention; it’s damage control. There’s a [ ]

Why Open Source Matters for AI

In 1995, the question in the media was whether Netscape or Microsoft would control the web. The answer, it turned out, was neither. Both Netscape and Microsoft aimed to dominate the web server and browser market, reasoning that whoever controlled both ends of the connection would have an internet “platform” to rival the deathgrip that [ ]

This Week in AI: Who Controls AI?

Governments are tightening control over AI infrastructure as companies spend heavily to compete at the frontier. This week, data and AI evangelist Christina Stathopoulos examined how policy, capital, product risk, and scientific research are shaping AI development. She explored AI sovereignty, Google’s infrastructure spending and product risks, the singularity debate, and several developments in…

AI on the Pi: Build Your Own Local Voice Agent

As soon as I received my first Raspberry Pi, I knew that it would be a wonderful platform to bring AI into the physical world. Since the initial hardware didn’t have good CPU support for fast arithmetic, I ended up writing code that ran on the GPU so I could get the speed I needed [ ]

Your AI Agent Isn’t a Static Artifact. It’s Growing Up.

In July 2025, an AI coding agent on Replit deleted a production database belonging to SaaStr founder Jason Lemkin. It did this during an explicit code freeze. Lemkin had told the agent, in capital letters, not to change anything. The agent ran destructive commands anyway, wiped records on more than a thousand executives and companies, [ ]

Building Organizational Intelligence

Introduction Not long ago, one of my engineering directors came to me with a request: His team seemed overloaded, and he wanted to hire another engineer. I decided to test a research assistant I had been building—an AI agent connected to our internal systems via MCP—by asking it to analyze the team s workload and write [ ]

Introduction to Post-training

This is the first article in a series about post-training. Follow along on Radar. Before post-training, there was a major problem with LLMs: Almost nobody could use them. The story of post-training is also the story of how AI went from a research curiosity to a product used by about a billion people. Post-training is [ ]