We’re releasing an analysis showing that since 2012, the amount of compute used in the largest AI training runs has been increasing exponentially with a 3.4-month doubling time (by comparison, Moore’s Law had a 2-year doubling period). (more…)

Which is better for teams looking to reduce their cloud expenses for running Kubernetes: CAST AI vs. Harness? Read for the answer. (more…)

For engineers looking to draw insights from AI, it's best to remember the idiom, 'Garbage in, garbage out.' Experienced AI jockeys can spend as much as 80% of their time optimizing their data before building a machine learning model with it. (more…)

Microsoft missed some important boats—smartphones, mobile OS, cloud computing... But not AI—the company is poised to reclaim its prior glory. (more…)

What does Microsoft getting an "exclusive license" to GPT-3 mean for the future of AI democratization? (more…)