Standard validation isn't enough for mission-critical products. Go beyond lab testing and 'triple validate' in the wild. This means simulating extreme conditions: poor connectivity, difficult physical environments (cold, sun glare), and users under stress or who haven't been trained. Focus on breaking the product, not just confirming the happy path.

Counterintuitively, the "move fast and break things" mantra fails in hardware. Mock Industries achieved a 71-day aircraft development cycle not by rushing tests, but by investing heavily in software and hardware-in-the-loop simulation to run thousands of virtual cases before the first physical flight.

At NASA, the design process involves building multiple quick prototypes and deliberately failing them to learn their limits. This deep understanding, gained through intentional destruction, is considered essential before attempting to build the final, mission-critical version of a component like those on the Mars Rover.

Software companies struggle to build their own chips because their agile, sprint-based culture clashes with hardware development's demands. Chip design requires a "measure twice, cut once" mentality, as mistakes cost months and millions. This cultural mismatch is a primary reason for failure, even with immense resources.

A key lesson from SpaceX is its aggressive design philosophy of questioning every requirement to delete parts and processes. Every component removed also removes a potential failure mode, simplifies the system, and speeds up assembly. This simple but powerful principle is core to building reliable and efficient hardware.

In high-stakes fields like medtech, the "fail fast" startup mantra is irresponsible. The goal should be to "learn fast" instead—maximizing learning cycles internally through research and simulation to de-risk products before they have real-world consequences for patient safety.

To mitigate the risk of expensive physical failures, hardware control software company Revel developed its own programming language. A core feature is that if code compiles successfully, it is guaranteed not to crash at runtime. This design choice eliminates a common source of catastrophic errors in hardware operation.

The popular tech mantra is incomplete. Moving fast is valuable only when paired with rapid learning from what breaks. Without a structured process for analyzing failures, 'moving fast' devolves into directionless, costly activity that burns out talent and capital without making progress, like a Tasmanian devil.

Contrary to the 'killer robots' narrative, the military is cautious when integrating new AI. Because system failures can be lethal, testing and evaluation standards are far stricter than in the commercial sector. This conservatism is driven by warfighters who need tools to work flawlessly.