When AI Becomes More Than a Tool: Our Emotional Dependence on Chatbots AI isn’t just a calculator anymore—it’s increasingly becoming a confidant, advisor, or even a “digital spouse,” according to OpenAI users. Explore why this emotional reliance matters now more than ever. 1.  Emotional Bonds Run Deep—Stronger Than Expected Many users were emotionally devastated after […]

Chiplet Architectures in AI Accelerators: Breaking the Monolith Abstract The rise of artificial intelligence has created an insatiable demand for compute, memory, and scale. But the monolithic system-on-chip (SoC) approach that powered decades of semiconductor growth is reaching its physical and economic limits. Reticle boundaries, yield challenges, and thermal constraints make it increasingly impractical to […]

AI Attachment & Emotional Dependence 1.  Altman Reflects on Emotional Attachments to AI Attachment stronger than past tech OpenAI CEO Sam Altman openly acknowledged that some users form unusually strong attachments to specific AI models. He noted this emotional bond is unlike anything seen with earlier technologies—and admitted that abruptly deprecating familiar models (e.g., GPT-4o) […]

UALink and the Battle for Rack-Scale GPU Interconnect Abstract Scaling AI workloads to tens of thousands of accelerators requires more than raw FLOPS — it requires the ability to connect GPUs into a coherent compute fabric. Nvidia has long dominated this domain with NVLink and NVSwitch, which provide high-bandwidth, low-latency interconnects tightly integrated into its […]

Ethernet Fabrics and the Rise of Open AI Networking Abstract Artificial intelligence has transformed datacenter architecture. The challenge today is not just how fast a single GPU can compute, but how efficiently tens of thousands of accelerators can work as one coherent, distributed system. For the past two decades, InfiniBand has dominated this role, offering […]

How Large Language Models Are Quietly Changing RTL Design? RTL design has always been one of the most crucial – and complex – steps in digital chip development. It’s where an engineer takes a specification and expresses it in hardware behaviour using languages like Verilog or System Verilog. As chips become more advanced – especially […]

Verifying AI Chips at RTL: How Foundation Models Are Transforming Design Assurance Modern AI chips are not general-purpose processors. Their RTL design logic is optimized not for instruction throughput, but for dataflow acceleration, parallel computation, and high-efficiency matrix operations. These chips integrate systolic arrays, sparsity-aware data paths, configurable tensor engines, and hierarchical memory systems. This […]

Making Automotive SoCs Truly Safe Why functional safety changes the verification game? Most SoC verification teams know how to prove a chip meets its functional specification. You write and run simulations, close coverage, debug mismatches, and tape out. But in automotive design — especially when working to ISO 26262 — the job isn’t done when […]

LLM-Aided RTL Design and Verification in Pre-Silicon Flows The integration of large language models (LLMs) into semiconductor pre-silicon workflows has moved from isolated academic prototypes to production-grade deployments in leading EDA environments. In this emerging paradigm, generative models are not limited to assisting with documentation or simple code generation; they actively participate in RTL creation, […]

When AI Acts Like a Threatened Human: Exploring Agentic Misalignment: A Deep Dive for Businesses Artificial Intelligence (AI) is transforming how businesses operate, with AI agents taking on increasingly autonomous roles in areas like finance, legal, and IT. These agents, powered by advanced large language models (LLMs), can handle complex tasks with minimal human oversight. But […]