Developers and senior executives alike are captivated by Claude Code—a powerful validation of its promise. Busy professionals are building weekend projects outside their regular schedules and sharing impressive accomplishments on LinkedIn and X. This phenomenon extends beyond any single industry, with notable figures like Garry Tan (CEO of Y
The EDA (Electronic Design Automation) industry veterans, accomplished professors, and incumbent giants—Cadence, Synopsys, and Siemens EDA—were once the fiercest critics of using AI for chip design. Today, they've become its most vocal proponents. This article isn't meant to criticize these companies or experts. Rather,
Enterprises and consumers are experiencing "model anxiety": an unprecedented uncertainty about which AI model and cloud provider to choose in today's rapidly evolving landscape. The New Decision-Making Paradigm Traditionally, enterprise technology decisions were straightforward. Cloud providers were selected based on established relationships, historic partnerships, and compelling
Generative AI has changed the world profoundly since ChatGPT in November 2022. The significance of ChatGPT is that it did the hard 10% of what was missing from prior generations of generative auto-regressive models, which was to scale up significantly from previous generations. In addition, the use of human feedback
In recent years, the use of AI in design verification has become increasingly popular due to the growing complexity of designs and the need for more efficient verification methods. AI can help automate constraint optimization, optimize stimulus generation, and speed up root-cause analysis. However, beyond developing more intelligent methods, it