Technology

White House Report: AI Drives 1.3% GDP Increase, Projects 20% Productivity Growth A new White House paper, “Artificial Intelligence and the Great Divergence,” identifies AI as a central pillar of the U.S. economic strategy. The report estimates that artificial intelligence contributed to a 1.3% increase in the U.S. GDP during the first half of 2025. Looking ahead, the paper projects that AI could fuel productivity growth ranging from single digits up to 20% within the next decade. The report also highlights a significant surge in AI-related capital investment, with AI data centers and related infrastructure accounting for nearly a quarter of all U.S. investment in 2025. It suggests that nations leading in AI investment and adoption, particularly the United States, are positioned for accelerated economic growth. Furthermore, the paper links future AI leadership to energy resource control, noting that electricity demand from AI data centers could reach 12% of U.S. consumption by 2028. ...

AI Creativity Now Matches Average Humans, But Lags Behind Top Innovators, Study Reveals A landmark study from the Université de Montréal, co-authored by AI pioneer Yoshua Bengio, reveals that leading AI models now match or exceed the average human’s creative abilities in linguistic tasks. Published in Scientific Reports, the research is the largest comparative study of its kind, testing large language models like GPT-4, Claude, and Gemini against 100,000 people. While models like GPT-4 have achieved a significant milestone by reaching average human creativity, the study underscores that the most creative individuals still significantly outperform the most advanced AI systems. ...

Zara’s AI Integration Revolutionizes Retail and Supply Chain Management Fast-fashion giant Zara is embedding artificial intelligence into its core retail workflows to boost efficiency and market responsiveness. By leveraging generative AI, the company can adapt and extend existing product imagery, significantly cutting the time and expense of traditional photoshoots. This fashion technology allows for rapid creation of visual variations tailored to different markets. Beyond creative applications, Zara’s AI strategy extends to crucial operational areas, including demand forecasting, real-time inventory management, and delivering personalized customer experiences. This deep integration of AI is designed to optimize Zara’s entire supply chain, solidifying its leadership in the competitive fashion industry. ...

OpenAI Unveils GPT-5.2, A Powerful AI Model for Professional Workflows OpenAI has officially launched GPT-5.2, its most advanced AI model series yet, engineered to enhance professional workflows and tackle complex, multi-step projects. The new series—comprising GPT-5.2 Instant, Thinking, and Pro—delivers significant improvements in coding, spreadsheet and presentation creation, image perception, and understanding long contexts. According to OpenAI, GPT-5.2 Thinking shows a 30 percent reduction in errors compared to its predecessor, GPT-5.1, making it more reliable for tasks like research, writing, and analysis. The model also demonstrates improved performance in mathematical problem-solving and abstract reasoning benchmarks. The rollout of GPT-5.2 will begin with paid ChatGPT users, with the API now available to all developers, marking a strategic move to solidify OpenAI’s leadership in the competitive enterprise AI landscape. ...

AI Digital Twin Breakthrough: DT-GPT Predicts Patient Health Futures Researchers at the University of Melbourne have developed a groundbreaking AI tool, DT-GPT, that creates virtual digital twins of patients to forecast their individual health paths. The model was trained on three datasets comprising thousands of electronic patient health records for conditions like Alzheimer’s disease and non-small cell lung cancer. In testing, DT-GPT outperformed 14 other leading machine learning models in predictive accuracy. This technology could potentially simulate clinical trial outcomes, accelerating drug development and reducing costs. It may also enable medical professionals to anticipate patient health deterioration for earlier intervention and predict adverse medication side effects for more personalized treatment plans. The research has been published in NPJ Digital Medicine. ...

Hybrid Quantum-Classical Systems Essential for AI Decision-Making, New Study Reveals A new study from Chapman University suggests that true agency and intelligence cannot arise from a purely quantum system. Researchers argue that the principles of quantum mechanics, which prevent the copying and comparison of information, mean that decision-making processes like modeling and deliberation require classical resources. This finding implies that both consciousness and the development of advanced quantum artificial intelligence will depend on hybrid quantum-classical architectures. The study posits that even sophisticated quantum machines will need classical components to learn, act, and make decisions effectively, touching on philosophical implications for free will and the emergence of classical reality. ...

Anthropic Unveils Claude Sonnet 4.5 with Advanced Reasoning and Coding Anthropic has officially released its latest large language model, Claude Sonnet 4.5, featuring significant improvements in processing long contexts and performing complex mathematical and logical reasoning tasks. The company claims the model can perform tasks autonomously for over 30 hours and has demonstrated state-of-the-art performance on the SWE-bench Verified evaluation for software coding. Alongside the new model, Anthropic launched Claude Code 2.0, an integrated coding environment for developers with an enhanced UI and performance based on Sonnet 4.5. To facilitate the development of AI agents, the company has also released the Claude Agent SDK. The new model is now available through Anthropic’s API, the Claude app, Amazon Bedrock, and Google Cloud’s Vertex AI. ...

Gartner’s 2025 Hype Cycle: Generative AI Enters ‘Trough of Disillusionment’ According to Gartner’s 2025 Hype Cycle for Artificial Intelligence, Generative AI has officially moved into the ‘Trough of Disillusionment’. This shift indicates that the initial peak of inflated expectations is cooling as organizations now grapple with the technology’s limitations and seek tangible returns on investment (ROI). Gartner notes that while GenAI remains a potentially transformational technology, the primary challenge for many companies is proving its business value. Consequently, the industry’s focus is shifting towards foundational elements like AI-ready data and the development of AI agents, both of which are currently at the ‘Peak of Inflated Expectations’. This trend underscores a maturing understanding that successful enterprise AI relies on strong data governance, intelligent workflows, and robust operational frameworks. Despite cooling expectations for GenAI, overall IT spending is still projected to increase in 2025, driven partly by ongoing investments in AI software and infrastructure. ...

Zoox Gets Federal Green Light for Driverless Robotaxi Deployment Amazon’s subsidiary, Zoox, has received a crucial federal exemption from the National Highway Traffic Safety Administration (NHTSA) to deploy its purpose-built, driverless robotaxis on public roads. This is a landmark decision, making Zoox the first U.S. company to gain such an exemption under the expanded Automated Vehicle Exemption Program (AVEP). The custom-designed vehicles notably lack traditional controls like steering wheels or pedals, featuring a carriage-style interior with inward-facing seats for four passengers. As a condition of the approval, Zoox must remove any claims that its vehicles comply with all Federal Motor Vehicle Safety Standards. This regulatory milestone clears the path for Zoox to scale production at its California facility, as the NHTSA has also closed its investigation into the company’s self-certification processes. ...

Tech Digest: AetherAI’s New LLM, Kubernetes 1.32, and PostgreSQL 18 AetherAI Releases ‘Chronos-8b’, a Powerful Open-Source LLM for Time-Series Analysis AetherAI Research has open-sourced Chronos-8b, a new 8-billion parameter language model specifically trained for time-series forecasting and analysis. The model demonstrates state-of-the-art performance on financial and meteorological prediction benchmarks. Chronos-8b’s architecture is designed for efficient fine-tuning on domain-specific temporal data. The release includes the model weights and training code to democratize advanced predictive AI. ...