Yearly Archives: 2025

With a standardized “Resilience Gap” metric, MLCommons introduces a common framework to stress-test AI models under adversarial pressure, and it invites the community to close the gap. Safety Is Not Static; Robustness Must Be Measured Over recent years, AI developers have layered safety systems, filters, and alignment mechanisms around large models....

Apple’s new M5 chip signals a shift from raw performance to architecture-level intelligence — an incremental evolution that could reshape the boundary between devices and the cloud. When Apple unveiled its M5 processor this week, it called it “the next big leap in AI performance for Apple Silicon.” The claim...

In enterprise AI, the concept of scaling engineering teams is widely misunderstood. Many executives assume that if ten engineers can complete a project in six months, then twenty engineers will be able to finish it in half the time. In reality, adding more engineers is more likely to slow...