InfoWorld AI·
Open source has never been just a licensing model. Rather, it’s also a philosophy about shared effort, shared transparency, and shared agency. The shared goal is to make an impact in the world. In the age of AI‑assisted development and agents, there is a line of thinking that AI slop, specifically mass-produced and submitted code, is the downfall of open source projects. On the contrary, I think open source is headed for a resurgence like we’ve never seen before, as long as we emphasize the aspects of open source beyond code submissions. In this new world, the philosophy, ethics, and morals of open source are more relevant than ever. However, the focus of open source needs to evolve past raw code: Specification files (spec files) and governance documents (constitutions) are becoming as important as the source itself. The challenge is not to choose between open source and AI, but to recognize that open source is now a community-based control and scope mechanism for open technologies. Le
Read full articleZillow Group's first-quarter shareholder letter made the company's strongest case yet for its transformation into an AI-powered real estate platform, citing AI-driven productivity gains, a new consumer search mode, and AI tools for agents and property managers. Revenue rose 18% to $708 million. Read More
The vendor’s new agents could find a home in big Wall Street firms, threaten mid-sized service providers and start to push entry-level finance jobs aside.
Anthropic announced “dreaming” for AI agents to sort through “memories” at its developer conference. Can we not?
Staff are often more willing than leaders to move quickly on AI and automation
Agents….they sound great, but do these autonomous programs actually do what you want? Are they accurate? Are they reliable? Enter Legal Agent Bench by Harvey, ...
At first glance, Microsoft Foundry looks like a big grab bag of every AI-adjacent service that Microsoft has offered in the last decade, plus some new ones. In Microsoft’s own words, “Foundry consolidates several previous Azure AI services and tools into a unified platform” and “unifies agents, models, and tools under a single management grouping.” Microsoft Foundry helps application developers to build and deploy agents, which may use models and tools. It also helps machine learning (ML) engineers and data scientists to fine-tune models, run evaluations, and manage model deployments. Finally, it helps IT administrators and platform engineers to govern AI resources, enforce policies, and manage access across teams. It isn’t quite a floor wax and a dessert topping, but it does try to serve three distinct audiences. Key capabilities of Microsoft Foundry for building agents include multi-agent orchestration, workflows, a tool catalog, memory, knowledge integration, and publishing. Key cap
OASYS enables agents to autonomously improve, potentially cutting down on development time and costs for enterprise customers.
If you doubted whether agents were going to be a big part of legal life…….Harvey has announced that it now has over 500 Agents ‘live ...
