The Verge AI·
Today on Decoder, I want to lay out an idea that’s been banging around my head for weeks now as we’ve been reporting on AI and having conversations here on this show. I’ve been calling it software brain, and it’s a particular way of seeing the world that fits everything into algorithms, databases and loops — software. Software brain is powerful stuff. It’s a way of thinking that basically created our modern world. Marc Andreessen, the literal embodiment of software brain, called it in 2011 when he wrote the piece “Why software is eating the world” as an op-ed in The Wall Street Journal. But software thinking has been turbocharged by AI in a way that I think helps explain the enormous gap between how excited the tech industry is about the technology and how regular people are growing to dislike it more and more over time. In fact, the polling on this is so strong, I think it’s fair to say that a lot of people hate AI. And Gen Z in particular seems to hate AI more and more as they enco
Read full articleCreating complex molecules usually requires years of experience and countless decisions, but a new AI system is changing that. Synthegy lets chemists guide synthesis and reaction planning using simple language, while powerful algorithms generate and evaluate possible solutions. The AI doesn’t just compute—it reasons, scoring pathways and explaining which ones make the most sense.
In The Sorcerer’s Apprentice, Mickey Mouse uses a magic spell to do his chores. The spell animates a broom that is tasked with carrying water from the well. While the animated broom is managed, it gets the job done; when Mickey falls asleep, the broom carries on its work. When Mickey can’t stop the broom, he chops it to bits with an axe, but all the pieces re-animate and carry on as before. Finally the Sorcerer intervenes to stop the broom and clean up the mess. Similarly, AI promises to lighten the burden of operating databases. For example, using AI to write SQL queries or optimize performance are obvious areas to apply this technology. There is a huge amount of SQL on the internet that can be used to train models around what good queries should look like, and transforming natural language into accurate SQL has a lot of promise. Further, using AI to handle database management issues should deliver faster performance, more reliable systems, and more efficient use of resources. Custome
Building on a long-standing MIT–IBM collaboration, the new lab will chart the convergence of AI, algorithms, and quantum computing CAMBRIDGE, Mass., APRIL 29, 2026 – IBM and the Massachusetts Institute […] The post IBM and MIT Launch Computing Research Lab Focused on AI and Quantum appeared first on AIwire.
Building on a long-standing MIT–IBM collaboration, the new lab will chart the convergence of AI, algorithms, and quantum computing.
Investors Marc Andreessen and Ben Horowitz gave $25mn to pro-AI Super Pac in first quarter of year
Researchers are developing hardware and algorithms to improve collaboration between divers and autonomous underwater vehicles engaged in maritime missions.
Learn seven Docker Compose templates for CMS, web apps, databases, Python backends, streaming, automation, and local AI development.
Running databases on Kubernetes is popular. For cloud-native organizations, Kubernetes is the de facto standard approach to running databases. According to Datadog, databases are the most popular workload to deploy in containers, with 45 percent of container-using organizations using this approach. The Data on Kubernetes Community found that production deployments were now common, with the most advanced teams running more than 75 percent of their data workloads in containers. Kubernetes was not built for stateful workloads originally—the project had to develop multiple new functions like StatefulSets in Kubernetes 1.9 and Operator support for integration with databases later. With that work done over the first 10 years of Kubernetes, you might think that all the hard problems around databases on Kubernetes have been solved. However, that is not the case. Embracing database as a service with Kubernetes Today we can run databases in Kubernetes successfully, and match those database workl
