In the aftermath of the Minneapolis ICE shooting, a surge of AI-generated deepfakes and fabricated visuals flooded social media platforms, blurring the line between fact and fiction and reshaping public understanding of the incident.

As AI systems evolve into agentic models capable of long-running, multi-step workflows, memory—not compute—is becoming the biggest bottleneck. This article explores why traditional hardware falls short and how a new AI-specific memory tier is redefining scalable inference.

Infosys has teamed up with Amazon Web Services to help enterprises move generative AI from pilots to large-scale deployment, enabling faster innovation, smarter operations, and cloud-native AI transformation.

WPP has launched an AI-powered Agent Hub within WPP Open, giving clients and teams instant access to agency expertise, strategic intelligence, and creative frameworks at scale.

Bernie Sanders is pushing for a halt on AI data center growth, warning that unchecked technological development threatens jobs, democracy, and community resources.

Chamath Palihapitiya has publicly applauded Groq founder Jonathan Ross as he prepares for a future aligned with Nvidia, arguing that the combination of Groq’s inference technology and Nvidia’s scale could fundamentally shift AI computing.

OpenAI CEO Sam Altman believes AI will transform work by creating entirely new industries and opportunities, instead of replacing human jobs on a massive scale.

Nvidia’s Groq Deal — a reported $20 billion strategic agreement to license Groq’s AI inference technology and bring key executives into Nvidia — could reshape the AI chip landscape. This move underlines Nvidia’s intent to dominate not only AI model training but also real-time AI inference, which is becoming increasingly crucial for next-generation applications.