InfoWorld

Google has launched Gemini 4 Argon, a new flagship AI model aimed at complex enterprise and software-development workloads, pairing claims of stronger coding performance and advanced reasoning with an introductory pricing model that doubles after November 30. The model “excels at deep work in complex, real-world tasks,” Koray Kavukcuoglu, senior vice president of Google DeepMind and chief AI arch…

Companies across industries are moving quickly to build agentic AI systems. But getting an agent to work in a prototype is very different from getting one to perform reliably in production. Once agentic AI systems encounter real-world requirements around speed, accuracy and cost – the trade-offs become much harder to ignore. Across the many agentic AI projects I have worked on, one expectation co…

The first substantial software project I ever undertook (at least it seemed substantial at the time) was porting the famous text-based Star Trek game from an old newspaper I found to an IBM 5100 “luggable” computer in the mid-1970s. My father, who was a cardiologist, was an early advocate for computing in medicine, and he used an IBM 5100 at work. He would bring this beast home on the weekends an…

Employees are increasingly using large language models (LLMs) and AI agents to get work done. Many are using agents to complete tasks, and others are using LLMs to generate content, vibe coding tools to develop applications, and agent orchestration platforms to automate workflows. According to Kyndryl’s People Readiness Report , while 57% of organizations have embedded AI into core processes or d…

I spent 13 years building Android apps, and for most of them, the backend was someone else’s problem. Building Weather Pal, my own forecast app, broke that habit fast. It taught me that mobile reliability is rarely about whether your server responded. It is about what happens to your data between fetch and display, and about who else is drinking from the pipe you pay for. Two incidents made that …

Imagine a vendor comes to you and explains how they can dramatically de-risk your infrastructure. They have a new software product or SaaS that detects everything that has bitten you in the past, as if by magic. However, it isn’t magic; they explain exactly how it works, not every detail, but enough to make you believe it will work. There is a bill, of course. It will be, say, $100k a year to sca…

Microsoft has launched Decision-1, an AI model that returns probabilities for predefined answers, allowing software applications to use its outputs directly instead of processing a free-form response from a large language model (LLM). The model targets tasks such as classifying requests, prioritizing incidents, and checking AI-generated responses. Microsoft says it can handle these decisions with…

Every few weeks, another enterprise leader asks me the same question: Should our AI agents run in the cloud or in our own data center? It sounds like a simple either/or, but it is the wrong way to frame the decision. Agents are not a single workload. They are orchestrated collections of model inference, tool execution, memory state, and integration logic. Some pieces belong in the cloud, some bel…

Developers have never been more inclined to use AI, yet never less inclined to trust its output. In Stack Overflow’s surveys, the proportion of respondents using AI tools in development keeps climbing (44% in 2023, 62% in 2024 , and 83% in 2026 ), but trust hasn’t kept pace. In the 2025 accuracy question , only about 33% trusted AI’s output, while 46% distrusted it. In 2026 Stack Overflow changed…

During my tenure as InfoWorld’s blogger-in-chief I became fascinated with narrated videos of software in action. Tools existed to do that kind of storytelling but the explanatory power of what came to be called screencasting had not yet been widely recognized. Although the medium became a standard way to demonstrate software, and I went on to produce and edit many screencasts over the years, the …

Every new laptop today is marketed as an ‘AI PC’ thanks to a built-in Neural Processing Unit (NPU). But beyond chatting with small local LLMs, what practical work can this silicon actually do? Recently, I hit a wall with a classic IT problem: data gravity. I had about a hundred gigabytes of scanned family photos that needed to be organized and enhanced. Uploading gigabytes of media to a cloud AI …

The European Union is rolling out new cybersecurity requirements for hardware and software products sold in the EU market. Aimed at ensuring that all products “with digital elements” are safe from cyber threats, the Cyber Resilience Act (CRA) has implications for the manufacturers of everything from smartwatches and smartphones to data center and industrial equipment — and for the producers of al…

Google Antigravity IDE is one of the most sophisticated integrated development environments available today. In contrast to Antigravity 2.0 , which focuses exclusively on managing agents, or Antigravity CLI , which is a way to interact with agents from the command line, Antigravity IDE covers the spectrum from a basic code editor, to an auto-completion engine, to an AI-powered editor, to a full-b…

One of the reasons programmers “got” agentic AI first, in the sense that it could meaningfully alter their productivity and effectiveness, is because code could be checked. They turn agents loose on a function, read the diff, run the tests, and decide whether to keep it. Output comes back to them in a form they already know how to read, so trusting the machine didn’t necessarily require a ton of …

Python 3.15 is one of the most feature-packed Python releases in many a moon, and the general release has just arrived. Here’s a rundown of the biggest, boldest, and most important innovations, changes, and fixes. Lazy imports A long-asked for feature, lazy imports allow imports to be processed only when they’re actually used by the program. For slow-importing modules that impose a large cost on …