Ambient AI Is About to Devour the Software Industry
Amazon has casually unveiled what could turn into a fundamentally different way to build software.
At its AWS conference in Las Vegas on Thursday, the company demoed Amazon Cloud 9, an integrated development environment (IDE) that plugs directly into its cloud computing platform.
This might seem like no big deal, but it’s actually the latest sign that cloud-based machine learning is about to take the software industry by storm—and, by extension, to rewire the entire economy. Using Amazon’s new platform, developers can collaborate in real time to tap into powerful, cloud-based AI that they can bake into a new generation of apps and Web services. This will mean learning new ways of thinking about software, and it should lead to the rise of everyday software that behaves with more intelligence.
This shift promises to be the biggest transition for the software world in decades. The easy availability of on-demand machine learning, combined with tools for automating the design and training of AI models, should, in fact, have an increasing impact on overall economic productivity, according to some economists.
This helps explain why Amazon, Google, and others are currently engaged in a desperate race to add AI to their cloud platforms, and to make the stuff as easy to use as possible. There are some cool startups in this area, including Paperspace, which lets you get up and running with deep learning on a cloud-based virtual machine in a few minutes, and Pentuum, spun out of Carnegie Mellon University.
But all this doesn’t just set the stage for a mighty battle between today’s tech titans: it’s incredibly cool to be able to fire up a browser and have your code, your data, and a whole bunch of machine learning tools at your fingertips. Tomorrow’s coders don’t know how lucky they’re going to be.
Deep Dive
Artificial intelligence
This new data poisoning tool lets artists fight back against generative AI
The tool, called Nightshade, messes up training data in ways that could cause serious damage to image-generating AI models.
Rogue superintelligence and merging with machines: Inside the mind of OpenAI’s chief scientist
An exclusive conversation with Ilya Sutskever on his fears for the future of AI and why they’ve made him change the focus of his life’s work.
Unpacking the hype around OpenAI’s rumored new Q* model
If OpenAI's new model can solve grade-school math, it could pave the way for more powerful systems.
Generative AI deployment: Strategies for smooth scaling
Our global poll examines key decision points for putting AI to use in the enterprise.
Stay connected
Get the latest updates from
MIT Technology Review
Discover special offers, top stories, upcoming events, and more.