After ChatGPT’s breakthrough, the race to define the next frontier of generative AI accelerated. One of the most talked-about innovations was OpenAI’s Sora, a text-to-video AI model that promised to transform digital content creation.
“Conviction Collapse” and the End of Software as We Know It
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...
If the last wave of AI felt like hiring a very smart intern, this one feels more like managing an entire organization that never sleeps (and occasionally argues with itself).
How to Build a General-Purpose AI Agent in 131 Lines of Python
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’...
AI-powered robot learns how to harvest tomatoes more efficiently
A new tomato-picking robot is learning to think before it acts. Instead of simply identifying ripe fruit, it predicts how easy each tomato will be to harvest and adjusts its approach accordingly. This smarter strategy boosted success rates to 81%, with the robot even switching angles when needed. Th...
Steve Yegge Wants You to Stop Looking at Your Code
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...
The emergence of the AI Architect: Engineering the future of tech
According to Gartner, over 80% of enterprise AI projects fail to move beyond the prototype stage, highlighting the need for professionals who can design systems that work in the real world. Enter the AI Architect...
Enterprise adoption is shifting from “capability” to “credibility.” Organizations without strong oversight, documentation, and risk management risk losing trust and market momentum. Are you ready?
Microsoft research lead Doug Burger introduces his new podcast series, The Shape of Things to Come, an exploration into the fundamental truths about AI and how the technology will reshape the future.
The post Trailer: The Shape of Things to Come appeared first on Microsoft Research.
ChatGPT as a therapist? New study reveals serious ethical risks
As millions turn to ChatGPT and other AI chatbots for therapy-style advice, new research from Brown University raises a serious red flag: even when instructed to act like trained therapists, these systems routinely break core ethical standards of mental health care. In side-by-side evaluations with ...
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...
Control Planes for Autonomous AI: Why Governance Has to Move Inside the System
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...
How AI is reinventing incident response in hybrid IT
As alert volumes explode and systems grow more complex, AI-driven AIOps is shifting teams from reactive firefighting to intelligent, correlated, and faster resolutions. Are you ready?