David Bau is very familiar with the idea that computer systems are becoming so complicated it’s hard to keep track of how they operate. “I spent 20 years as a software engineer, working on really complex systems. And there’s always this problem,” says Bau, a computer scientist at Northeastern University in Boston, Massachusetts.
But with conventional software, someone with inside knowledge can usually deduce what’s going on, Bau says. If a website’s ranking drops in a Google search, for example, someone at Google — where Bau worked for a dozen years — will have a good idea why. “Here’s what really terrifies me” about the current breed of artificial intelligence (AI), he says: “there is no such understanding”, even among the people building it. — Read More
Daily Archives: May 20, 2024
AI eats the web
Google’s shift toward AI-generated search results, displacing the familiar list of links, is rewiring the internet — and could accelerate the decline of the 30+-year-old World Wide Web.
Why it matters: A world where Google answers most questions in a single machine voice makes online life more convenient — and duller.
— The change also threatens to cut into Google’s revenue from search ads, and starve future AIs of the human data they’ll need. — Read More
Newspaper conglomerate Gannett is adding AI-generated summaries to the top of its articles
Gannett, the media company that owns hundreds of newspapers in the US, is launching a new program that adds AI-generated bullet points at the top of journalists’ stories, according to an internal memo seen by The Verge.
The AI feature, labeled “key points” on stories, uses automated technology to create summaries that appear below a headline. The bottom of articles includes a disclaimer, reading, “The Key Points at the top of this article were created with the assistance of Artificial Intelligence (AI) and reviewed by a journalist before publication. No other parts of the article were generated using AI.” The memo is dated May 14th and notes that participation is optional at this point. — Read More
Communicative Agents for Software Development
Software engineering is a domain characterized by intricate decision-making processes, often relying on nuanced intuition and consultation. Recent advancements in deep learning have started to revolutionize software engineering practices through elaborate designs implemented at various stages of software development. In this paper, we present an innovative paradigm that leverages large language models (LLMs) throughout the entire software development process, streamlining and unifying key processes through natural language communication, thereby eliminating the need for specialized models at each phase. At the core of this paradigm lies ChatDev, a virtual chat-powered software development company that mirrors the established waterfall model, meticulously dividing the development process into four distinct chronological stages: designing, coding, testing, and documenting. Each stage engages a team of “software agents”, such as programmers, code reviewers, and test engineers, fostering collaborative dialogue and facilitating a seamless workflow. The chat chain acts as a facilitator, breaking down each stage into atomic subtasks. This enables dual roles, allowing for proposing and validating solutions through context-aware communication, leading to efficient resolution of specific subtasks. The instrumental analysis of ChatDev highlights its remarkable efficacy in software generation, enabling the completion of the entire software development process in under seven minutes at a cost of less than one dollar. It not only identifies and alleviates potential vulnerabilities but also rectifies potential hallucinations while maintaining commendable efficiency and cost-effectiveness. The potential of ChatDev unveils fresh possibilities for integrating LLMs into the realm of software development. Our code is available at this https URL. – Read More
Rick's Cafe AI 