Beyond AI: Is 'Super Intelligence' a Real Advance or Hype?

The language surrounding artificial intelligence is evolving, with some prominent tech executives now using the term "super intelligence" instead of "AI." This shift, observed in earnings calls by leaders from Meta, Tesla, and SpaceX, suggests a move towards describing an ambition for AI that substantially exceeds human intellectual capabilities across various domains. However, this terminology is drawing scrutiny, as "superintelligence" represents a significant claim that requires robust evidence.

Experts emphasize that claiming "superintelligence" is different from demonstrating it. A calculator's ability in arithmetic doesn't equate to broader human intelligence, and AI excelling in one area does not prove superior judgment everywhere. Before accepting such claims, rigorous evaluation of what was measured, by whom, and under what conditions is essential. The use of "superintelligence" can also mislead consumers, potentially fostering unwarranted trust and influencing how carefully they vet AI-generated information or advice.

Useful AI applications do not require the promise of intellectual superiority; they require clear information about performance, limitations, and the need for human review. "Superintelligence" offers none of this specific data. Instead, a grander claim should invite closer examination, with companies expected to explain how such an achievement would be recognized and verified externally. Progress in AI should be acknowledged, but labels deserve challenge, and future possibilities should not be presented as current realities.