Merriam-Webster’s word of the year delivers a dismissive verdict on junk AI content

The evolution of artificial intelligence (AI) is transitioning from reactive systems to autonomous frameworks, marking a significant shift in how data is processed and utilized. This change is encapsulated in the concept of the AI data flywheel, which emphasizes the continuous improvement of AI systems through self-optimization and learning from data interactions.

As the deadline for Q-Day approaches, high-performance computing (HPC) and artificial intelligence (AI) providers face the urgent need to rethink data security strategies. The challenge lies in securing sensitive data without compromising system performance, prompting a shift towards innovative encryption methods that protect data while in use.

Experts predict that 2026 may be the year when artificial intelligence (AI) finally delivers tangible returns on investment (ROI) for businesses, as companies increasingly commit to integrating AI into their operations. This shift comes after years of mixed results, with many organizations still grappling with the effectiveness of their AI initiatives.

The World Health Organization has raised concerns about the integration of artificial intelligence (AI) in healthcare, emphasizing the need for responsible deployment to bridge existing gaps in medical services. The emergence of AI technologies, such as Rocket Doctor AI, aims to enhance healthcare delivery amidst ongoing debates about their implications.

The recent TikTok trend known as the 'AI homeless man prank' has incited significant outrage and police involvement across the United States. This prank utilizes AI image generators to fabricate realistic images of fake homeless individuals, placing them at the doorsteps or inside homes, raising ethical concerns regarding the misuse of AI technology.

President Donald Trump signed an executive order on December 11, 2025, aimed at overriding state-level regulations on artificial intelligence (AI), which the administration believes hinder innovation in the sector. This order establishes a federal task force to challenge state laws that may restrict AI development.

Industry leaders are increasingly investing in mutually exclusive futures for artificial intelligence (AI), acknowledging the uncertainty surrounding its trajectory. This strategic approach reflects a lack of consensus on the future of AI, as organizations navigate complex challenges and opportunities in the evolving landscape.

Recent advancements in artificial intelligence (AI) indicate that when AI systems learn the underlying reasons behind their actions, they become not only smarter but also more responsible. This development highlights the importance of understanding the 'why' in AI decision-making processes.