Welcome to M5BMachine 5-Minute Briefing

This week Miguel Fierro, a former Microsoft principal researcher who recently founded his own company, RecoMind, joined data and AI evangelist Christina Stathopoulos to talk about the state of recommendation systems. Christina also ran through the latest AI news she’s been watching, from Anthropic’s...

On this week’s episode, host and the founder of AI advisory firm Intelligence Briefing Andreas Welsch brought together Maya Mikhailov, cofounder and CEO of Savvi AI, and Doug Shannon, generative AI and intelligent automation leader, to cover a handful of interconnected topics that practitioners are ...

DJ Patil has spent the past several months on a listening tour. Wherever he travels, he finds a local university, pings faculty and students and anyone else who wants to show up, and runs an AMA. He’s heard from grad students who can’t get callbacks, hospital administrators dealing with federal poli...

Adam Tooze recently shared a piece from The Economist about Brazil’s push for what it calls “medical sovereignty,” the determination to make its own vaccines and the active ingredients that go into its medicines rather than depend on supply chains it doesn’t control. Brazil already produces a large ...

This is the sixth article in a series on agentic engineering and AI-driven development. Read part one here, part two here, part three here, part four here, and part five here. I think context management is one of the most important skills in AI-driven development, and it’s weird that compared to oth...

I just sat in a room full of data engineers the other week who were worrying about AI automating them out of work the same way auto manufacturing in Detroit was upended half a century ago. All AI. All the time. That’s what technology professionals are talking about. Data scientists, data engineers, ...

Steve Yegge’s article about programmer burnout (“The AI Vampire”) along with Margaret Storey’s article about Cognitive Debt started an ongoing conversation about programmer fatigue and software quality—two topics that should be linked, but often aren’t. Steve argues that programming constantly with ...

Every data leader has a version of this story. A regulatory audit surfaces a metric that doesn’t match across systems. A board member catches conflicting revenue numbers in two reports presented back-to-back. An AI tool generates a recommendation based on data that hasn’t been governed since the ana...

This is the fifth article in a series on agentic engineering and AI-driven development. Read part one here, part two here, part three here, and part four here. I recently had a taste of humility with my AI-generated code. I live in Park Slope, Brooklyn, and recently I needed to get to the other side...

I was talking to a senior engineer at a well-funded company not long ago. I asked him to walk me through a critical algorithm at the heart of their product, something that ran hundreds of times a second and directly affected customer outcomes. He paused and said, “Honestly, I’m not totally sure how ...

We tend to assume that if every part of a system behaves correctly, the system itself will behave correctly. That assumption is deeply embedded in how we design, test, and operate software. If a service returns valid responses, if dependencies are reachable, and if constraints are satisfied, then th...

Enterprise AI governance still authorizes agents as if they were stable software artifacts.They are not. An enterprise deploys a LangChain-based research agent to analyze market trends and draft internal briefs. During preproduction review, the system behaves within acceptable bounds: It routes quer...

The following article was originally published on Tim O’Brien’s Medium page and is being reposted here with the author’s permission. If you’ve spent any time around AI-assisted software work, you already know the moment when the Scope Creep Kraken first puts a tentacle on the boat. The project begin...

I sat down with Aaron Levie at the O’Reilly AI Codecon two weeks ago. Aaron cofounded Box in 2005, and 20 years later, his company manages content for about two-thirds of the Fortune 500. Aaron is one of the few CEOs of an incumbent enterprise software company thinking deeply in public about what AI...

In “An Ordinary Evening in New Haven,” the poet Wallace Stevens wrote, “It is not in the premise that reality is a solid.” That line came to mind during a fascinating conversation with Harper Reed, which amounted to something like “It is no longer in the premise that software is a product.” Harper i...

The following article originally appeared on Medium and is being reproduced here with the author’s permission. This 2,800-word essay (a 12-minute read) is about how to survive inside the AI revolution in software development, without succumbing to the fear that swirls around all of us. It explains s...

The following article originally appeared on Hugo Bowne-Anderson’s newsletter, Vanishing Gradients, and is being republished here with the author’s permission. In this post, we’ll build two AI agents from scratch in Python. One will be a coding agent, the other a search agent. Why have I called this...

Not that long ago, we were resigned to the idea that humans would need to inspect every line of AI-generated code. We’d do it personally, code reviews would always be part of a serious software practice, and the ability to read and review code would become an even more important part of a developer’...

My “Live with Tim” conversation with Steve Yegge this week was one of those sessions where you could imagine the audience leaning forward in their chairs. And on more than one occasion, when Steve got particularly colorful, I imagined them recoiling. Steve has always been one of the most provocative...

Autonomous AI systems force architects into an uncomfortable question that cannot be avoided much longer: Does every decision need to be governed synchronously to be safe? At first glance, the answer appears obvious. If AI systems reason, retrieve information, and act autonomously, then surely every...

I’ve said in the past that AI will enable new kinds of applications—but I’ve never had the imagination to guess what those new applications would be. I don’t want a smart refrigerator, especially if it’s going to inflict ads on me. Or a smart TV. Or a smart doorbell. Most of these applications are s...

In a previous article, we outlined why GPUs have become the architectural control point for enterprise AI. When accelerator capacity becomes the governing constraint, the cloud’s most comforting assumption—that you can scale on demand without thinking too far ahead—stops being true. That shift has a...

Most multi-agent AI systems fail expensively before they fail quietly. The pattern is familiar to anyone who’s debugged one: Agent A completes a subtask and moves on. Agent B, with no visibility into A’s work, reexecutes the same operation with slightly different parameters. Agent C receives inconsi...

For most of the past decade, AI governance lived comfortably outside the systems it was meant to regulate. Policies were written. Reviews were conducted. Models were approved. Audits happened after the fact. As long as AI behaved like a tool—producing predictions or recommendations on demand—that se...