O’Reilly Media – A Field Guide to Rapidly Improving AI Products

Most AI teams focus on the wrong things. Here’s a common scene from my consulting work: AI TEAMHere’s our agent architecture—we’ve got RAG here, a router there, and we’re using this new framework for… ME[Holding up my hand to pause the enthusiastic tech lead]Can you show me how you’re measuring if any of this actually…

O’Reilly Media – Context Serialization

In a recent edition of The Sequence Engineering newsletter, “Why Did MCP Win?,” the authors point to context serialization and exchange as a reason—perhaps the most important reason—why everyone’s talking about the Model Context Protocol. I was puzzled by this—I’ve read a lot of technical and semitechnical posts about MCP and haven’t seen context serialization…

Latest from MIT Tech Review – This patient’s Neuralink brain implant gets a boost from generative AI

Last November, Bradford G. Smith got a brain implant from Elon Musk’s company Neuralink. The device, a set of thin wires attached to a computer about the thickness of a few quarters that sits in his skull, lets him use his thoughts to move a computer pointer on a screen.  And by last week he…

Latest from MIT : Hybrid AI model crafts smooth, high-quality videos in seconds

What would a behind-the-scenes look at a video generated by an artificial intelligence model be like? You might think the process is similar to stop-motion animation, where many images are created and stitched together, but that’s not quite the case for “diffusion models” like OpenAl’s SORA and Google’s VEO 2. Instead of producing a video…

Latest from MIT Tech Review – Why the humanoid workforce is running late

On Thursday I watched Daniela Rus, one of the world’s top experts on AI-powered robots, address a packed room at a Boston robotics expo. Rus spent a portion of her talk busting the notion that giant fleets of humanoids are already making themselves useful in manufacturing and warehouses around the world.  That might come as…

Latest from MIT : New tool evaluates progress in reinforcement learning

If there’s one thing that characterizes driving in any major city, it’s the constant stop-and-go as traffic lights change and as cars and trucks merge and separate and turn and park. This constant stopping and starting is extremely inefficient, driving up the amount of pollution, including greenhouse gases, that gets emitted per mile of driving. …