InfoWorld

The original Antigravity was an IDE with native integration for Google’s generative AI models. With Antigravity 2, Google offers a refashioned version of the product that it describes as a “ standalone desktop command center ” for agents. Antigravity 2 is closer to projects like LM Studio than a full-blown IDE. It provides a streamlined, chat-centric interface for working with models and agents, …

This summer, the White House rolled out the Gold Eagle Initiative , billed as an “unprecedented” effort to coordinate cybersecurity vulnerability disclosure across government and industry. It was easy to miss this news with all of the other safety concerns in the world of AI, but the timing isn’t a coincidence — and neither is the terminology. Gold Eagle is just one in a fast-growing category of …

This series lays out a practical framework for taking generative AI (GenAI) from pilots to dependable production systems in the enterprise. It focuses on four disciplines that determine long-term success: engineering for scale and reliability, designing agentic systems with clear constraints, embedding governance directly into build and runtime controls, and measuring ROI at the workflow level wi…

Bank of America has had to spend big on IT in response to an AI security audit and findings that its anti-money-laundering (AML) controls were lacking. The bank was fined a whopping $1.2 billion for money laundering offences this week, after banking authorities identified a lax attitude to compliance. “We understand the seriousness of compliance, and we are responsible for getting it right,” Bank…

Every quarter, I look at the capital expenditure numbers coming out of the major cloud providers, and every quarter, they manage to surprise me. This time, though, we’ve crossed into territory that’s genuinely hard to process. The five biggest US cloud and AI infrastructure providers (Microsoft, Alphabet, Amazon, Meta, and Oracle) have collectively committed to spending between $660 billion and $…

The best Python yet isn’t just faster than before. It’s also smarter at telling you what’s wrong, better at letting you profile applications, and loaded with new language features to give you a better programming experience. Top picks for Python readers on InfoWorld The best new features in Python 3.15 Python 3.15 is now GA, and it’s the best Python yet. Get your hands on its improved JIT compila…

Current security procedures for training AI models are inadequate, hundreds of AI researchers have warned governments and the AI community. They are calling for tougher rules and the establishment of a new international body overseeing best practice for AI development. In an open letter the AI specialists — 487, at time of publication, including many senior academics — called for more AI safety r…

Although the Jev model rolled out last month by TypeSafe claims to have significant advantages over traditional LLMs, a security report published Wednesday argued that its streamlined approach makes it more vulnerable to some kinds of attack, compared to traditional LLMs. “In some cases, [Jev] is even more vulnerable to attacks, with both adversarial text attacks and prompt injection being able t…

ServiceNow is giving its AI Control Tower new features to make AI agents more governable — and a new name, Super Intelligence Control Tower (SICT), to please the US President. It is also updating EmployeeWorks to make building AI agents easier. AI Passport, a new component of SICT, gives every agent, whether from ServiceNow or a third party, a verifiable identity, and provides runtime control ove…

Google has made daily token quotas generally available for BigQuery’s generative AI functions to give enterprises a way to limit AI consumption by project and individual user. These quotas, which can be managed via the IAM and Admin tab in the Google Cloud Console, cover both input and output tokens at the project and individual-user levels per day and apply to the AI.GENERATE, AI.GENERATE_TABLE,…

Most teams building AI agents are pouring effort into better memory, longer context windows, conversation summaries, retrieval systems that pull up anything the agent has ever seen. These are useful tools. But they do not solve the problem of knowing whether an action actually completed. Memory tells an agent what happened. It doesn’t tell the agent what’s true right now. And for any agent that t…

Using vibe coding to scratch an itch has many of the same issues as using low-code and no-code development tools. That’s not surprising. Putting together something quickly to solve a specific problem lacks the level of discipline of software engineering, introducing inefficiencies that come from not following architectural guidelines and policies. I recently reviewed the AI-generated code I used …

For most of the history of enterprise software, accountability has been relatively easy to understand. A person logs in, a person has a set of permissions, and a person takes an action. If something goes wrong, you can usually work backwards from there. Agentic AI changes that. We are moving from systems that suggest what someone should do to systems that can actually do it. Agents can access too…

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…