VirtuousTech

The University of Zurich’s unauthorized AI experiment on r/ChangeMyView (CMV) has sparked a heated debate about the ethics of AI research. The researchers deployed bots to test persuasive AI-generated arguments, prompting widespread outrage for their lack of transparency and consent from the platform’s users. While the researchers’ tactics were undeniably problematic, the incident highlights a […]

Building robust integrations between large language models (LLMs) and applications presents unique challenges. These challenges arise from the inherent unpredictability of LLMs, where their outputs can be inconsistent and prone to errors. To overcome these hurdles, developers have discovered crucial engineering patterns that enhance the reliability and effectiveness of LLM tool-calling. One such pattern is

The current web, designed with humans in mind, is struggling to adapt to the rapid rise of AI systems. These systems consume and act on information at a pace far exceeding human capabilities, demanding a new approach to web design. The solution lies in embracing HyperText, reimagining the web as a framework of executable semantics

The most critical initial step in any AI agent project centers around data. While it’s tempting to jump into model selection or architecture design, a well-defined, high-quality dataset is the bedrock of a successful agent. It underpins everything from product boundaries to effective training and rigorous testing. Think of the dataset as the agent’s education.

Artificial intelligence is experiencing a significant evolution, shifting from simple, reactive systems to proactive, intelligent agents. This transformation, known as Agentic AI, allows systems to act autonomously on behalf of users, making their own decisions and coordinating complex tasks across various fields. Unlike traditional AI, which primarily executes pre-programmed instructions, agentic AI demonstrates goal-driven behavior,