Modern technology often trades fundamental understanding for frequent updates, cloud services, and subscription models.
Many so-called innovations are repackaged older concepts, relabeled with new buzzwords like edge computing or serverless.
Contemporary hardware is designed for efficiency and planned obsolescence, reducing longevity and repairability.
Software now relies on complex, layered abstractions that make debugging fragile systems difficult.
AI coverage tends to hype statistical models as breakthroughs while ignoring their long-standing mathematical roots.
Maker culture frequently emphasizes photogenic projects and influencer content over genuine engineering skills.
Education and industry reward breadth of tools over depth of knowledge, fostering dependence on abstractions.
True innovation requires simplicity, reliability, transparency, and repairability alongside theoretical understanding.
Get notified when new stories are published for "General AI News"