Breaking news

Cyprus Open University Kicks Off AI Project To Shape Public Engagement

by THEFUTURE.TEAM
February 20, 2025

The Cyprus Center for Trustworthy AI (CyCAT) at the Open University of Cyprus (OUC) has launched PINNACLE—a groundbreaking initiative designed to evaluate AI’s role in education and system benchmarking. Backed by €150,000 in funding from the Cyprus Research and Innovation Foundation, the project aims to lay the groundwork for a larger Horizon Europe proposal.

AI for Everyone: A Free Course to Build Awareness

As part of PINNACLE’s first phase, OUC will roll out a fresh edition of “AI in Everyday Life”, a free, 8-week online course available in Greek and English starting 30 April 2025. The course, designed for all skill levels, explores key AI concepts and real-world applications—no technical background is required.

Engaging the Public in AI Research

More than just an educational initiative, the course will serve as a collaborative research platform, encouraging participants to actively engage with AI-driven exercises. Their input will help shape the PINNACLE evaluation mechanisms, ensuring AI’s development aligns with public needs. Successful participants will receive a certificate of completion and gain early access to the project’s research findings.

With Cyprus positioning itself at the forefront of AI ethics and public engagement, PINNACLE could set a new standard for how societies interact with and influence artificial intelligence.

The AI Agent Revolution: Can the Industry Handle the Compute Surge?

by THEFUTURE.TEAM
March 28, 2025

As AI agents evolve from simple chatbots into complex, autonomous assistants, the tech industry faces a new challenge: Is there enough computing power to support them? With AI agents poised to become integral in various industries, computational demands are rising rapidly.

A recent Barclays report forecasts that the AI industry can support between 1.5 billion and 22 billion AI agents, potentially revolutionizing white-collar work. However, the increase in AI’s capabilities comes at a cost. AI agents, unlike chatbots, generate significantly more tokens—up to 25 times more per query—requiring far greater computing power.

Tokens, the fundamental units of generative AI, represent fragmented parts of language to simplify processing. This increase in token generation is linked to reasoning models, like OpenAI’s o1 and DeepSeek’s R1, which break tasks into smaller, manageable chunks. As AI agents process more complex tasks, the tokens multiply, driving up the demand for AI chips and computational capacity.

Barclays analysts caution that while the current infrastructure can handle a significant volume of agents, the rise of these “super agents” might outpace available resources, requiring additional chips and servers to meet demand. OpenAI’s ChatGPT Pro, for example, generates around 9.4 million tokens annually per subscriber, highlighting just how computationally expensive these reasoning models can be.

In essence, the tech industry is at a critical juncture. While AI agents show immense potential, their expansion could strain the limits of current computing infrastructure. The question is, can the industry keep up with the demand?

Become a Speaker

Become a Speaker

Become a Partner

Subscribe for our weekly newsletter