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Greece’s Leap Into The Future With A €41 Million Supercomputer Initiative

In a major development, Greece is stepping into the global arena of high-performance computing with the launch of its state-of-the-art supercomputer, named Daedalus. The intricate project, entrusted to HP Hellas, is set to bring a remarkable transformation to the country’s digital landscape at a cost of €41 million.

The unveiling of this computational behemoth, orchestrated by Greece’s Ministry of Digital Governance, will take place at Lavrio’s Technological Cultural Park. This move is a pivotal step for Greece, not only enhancing its research capabilities but also firmly positioning it among the world’s foremost scientific hubs.

Explore Europe’s AI Power Surge: Six New Factories And One Upgrade To Strengthen Europe’s AI Leadership

Why Daedalus Is A Game Changer

The deployment of Daedalus is driven by a growing demand for advanced computational power to handle vast data for scientific and industrial applications. Greek scientists and researchers, alongside their European counterparts, stand to benefit significantly from this upgrade in technological prowess.

Designed to enhance Greece’s competitive edge, Daedalus will be instrumental in powering AI-driven applications, expected to tackle complex scientific simulations that ordinary computing systems simply cannot manage.

Unmatched Performance And Sustainability

Projected to exceed 60 Petaflops, Daedalus not only outpaces its predecessor ARIS but also ranks among the world’s top 30 supercomputers, according to TOP500 and GREEN500 listings. This leap in power complements its eco-friendly design, incorporating renewable energy systems to keep operations sustainable and minimize environmental impact.

Set up in a historically significant site, the “Former Electric Station” building, this vast 1,500 square meter facility represents not just a technological triumph but a marriage of heritage and innovation.

OpenAI Releases GDPval Benchmark To Gauge AI Performance Against Human Experts

New Benchmark Sheds Light on AI’s Capabilities

OpenAI has unveiled GDPval, a new benchmark designed to evaluate its AI models against human professionals across a broad spectrum of industries. This initiative represents a critical step in understanding how far today’s AI is from matching or surpassing the work quality of experts in sectors such as healthcare, finance, manufacturing, and government.

Methodology and Industry Scope

The GDPval benchmark focuses on nine major industries contributing to America’s gross domestic product and tests AI performance in 44 distinct occupations—from software engineering to nursing and journalism. In its initial version, GDPval-v0, industry professionals compared reports generated by AI models with those produced by their human counterparts. For instance, investment bankers were tasked with evaluating competitor landscape analyses for the last-mile delivery industry, ensuring that the assessment reflects real-world complexity.

Comparative Performance: AI Advances and Limitations

Results indicate promising progress; OpenAI’s GPT-5-high, an enhanced iteration of its flagship model, achieved a win rate of 40.6% when compared head-to-head with industry veterans. More notably, Anthropic’s Claude Opus 4.1 reached nearly 49% on similar criteria. However, OpenAI acknowledges that these models are not yet positioned to replace human labor entirely, as the current iteration of GDPval covers a narrow slice of actual job responsibilities.

Expert Insights and Future Directions

In a discussion with TechCrunch, OpenAI’s chief economist, Dr. Aaron Chatterji, noted that the benchmark’s favorable outcomes suggest professionals may soon delegate routine tasks to AI. This, he argued, will free up valuable time for focusing on higher-impact work. Industry observer Tejal Patwardhan also expressed optimism, emphasizing the significant performance leap from GPT-4’s 13.7% score to nearly triple that figure with GPT-5.

Benchmarking And The Road To Comprehensive AI Evaluation

While GDPval represents an early milestone, it aligns with a broader effort among Silicon Valley titans to create robust testing frameworks, such as AIME 2025 and GPQA Diamond, that better quantify AI proficiency for real-world applications. OpenAI plans to expand GDPval to encapsulate more industries and interactive workflows, aiming to bolster its claims about AI’s growing economic value.

As the benchmark evolves, GDPval could play an instrumental role in the ongoing debate around artificial general intelligence, highlighting the potential and limitations of AI models poised to reshape the modern workforce.

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