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Issue 341: Are you a human or a robot?

What happens when our bots start acting more like us and we start acting more like our bots? And look, unless the robots are Robin Williams as The Bicentennial Man, it probably isn’t good. The truth is, our tools aren’t the only things evolving—the way we’re using them is changing too. This week, we’re taking a look at the good, the bad, and the slop of human-AI interactions. On the pod, WPEngine’s Ramadass Prabakar chats with us about how our online world is changing because of bots disguised as humans and what we need to do to keep human actions protected on our internet. Komodor’s Asaf Savich joins us to discuss the evolving world of AI-powered SRE and where humans still need to be in the loop for reliability.

On the blog, we’re exploring what happens when we become too attached to our developer tools in a world where those tools are constantly changing (spoiler: we stop trusting the tools we’re so attached to). And speaking of trust, we’re diving into how context is the best risk mitigation strategy for unwieldy AI-powered programs, and taking a look at the new features launching in Stack Internal that are helping build that context.

From the web, we’ve got stories on how not to use AI in human interactions, what we can achieve with infinite tokens, and how our language—and how we learn it—is evolving. And of course, this wouldn’t be your trusty Overflow newsletter if we didn’t satiate your curiosity. If you’ve been wondering about the legality of the original Trojan Horse, if Odysseus had weird feet, or how original your academic career is, we’ve got all of that and more ready for you down below.

From the blog

Dispatches from O'Reilly: The best risk mitigation strategy in data? A single source of truth

Your semantic layer is a risk mitigation strategy. Not risk in the abstract, compliance-framework sense, but the practical, operational risk that quietly drains organizations every day.

What happens to the internet when robots act like humans?

Ryan welcomes WPEngine CTO Ramadass Prabakar to the show to chat about what happens—and what we should do—when agents start acting like humans online, how our internet is evolving to serve both human and agentic experiences from the same interface, and what we can do to differentiate and protect human actions online from malicious bot activity.

Your trusted knowledge layer: Introducing Stack Internal's new platform experience

Introducing new Stack Internal capabilities as part of our upcoming platform experience. Our latest release turns your existing foundation of knowledge into enterprise memory that your people, teams, and AI agents can act on. Learn how we’re building the trust layer for enterprise AI.

Developers are attached to tools because tools encode trust

The tools themselves are new and their capabilities are in constant flux. If your kitchen knife kept changing shape, weight, and edge, you’d have to relearn it every time; that’s a hard tool to build trust in. But it also points to a flaw in how you use that tool, the process around it, and the way the tool reinforces the process.

You need reliable AI context for your site reliability

Ryan is joined by Asaf Savich, Komodor’s AI Engineering Group Manager, to discuss why modern reliability work requires navigating massive cross-service context, what good context engineering actually likes when AI is integrated into site reliability, and how the work of human SREs is shifting towards strategy and AI agent management.

Interesting questions

At minor revision stage, I realized that a similar work exists in a Blog Post but not in a scientific journal

Hopefully, their paper on "Correlating personality characteristics to individual Golden Girls" can still see the light of day.

Would the Trojan Horse ruse be legal under the modern laws of war?

How about blinding a cyclops? Is that a war crime?

Links from around the web

How the words we teach English language learners changed, and what that says about us

Why isn’t tokenmaxxing on the list of words we teach English learners?

Convergence is not enough

Merges—the bane of both the programmer and student driver.

The shape of things to come

All you need is infinite tokens to really get things done with AI.

Don't be a meat proxy

Also, don’t be a meat energy source unless you want to end up in The Matrix.


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