OpenAI’s Model-Scaling Playbook Is Really a Compute Story
OpenAI’s competitive edge is not just better models; it is the ability to turn research ideas into massive training runs, then ship them through…
Plain-English reporting on AI, semiconductors, automation, robotics, compute, energy, and the future of work.
OpenAI’s competitive edge is not just better models; it is the ability to turn research ideas into massive training runs, then ship them through…
A new class of startups is not just selling AI infrastructure; it is exposing where the market is…
Cloud computing looks intangible from the outside, but every request rides on a stack of servers, networking gear,…
TSMC is not just a chipmaker; it is the manufacturing bottleneck that shapes the pace of AI hardware,…
Training models gets the headlines, but inference is where AI becomes a product, a cost center, and a competitive advantage. For chips, data centers,…
AI performance is often discussed in terms of bigger models and faster chips, but the real bottleneck is usually upstream: the data pipeline. In…
Large language models are often described as if they were magical text engines. In reality, they are expensive statistical systems built on enormous compute,…
A new generation of startups is attacking AI infrastructure from the bottom up—rebuilding the stack around utilization, latency, and power density instead of raw…
The biggest semiconductor manufacturers do more than make chips: they define where advanced compute is built, who controls the supply chain, and how much…
Deep learning is the layer-based machine learning approach that powers everything from image recognition to large language models. Understanding how it works helps explain…