Daftar Isi

Abstrak
Linguistic intelligence in AI encompasses oral and written processing but demonstrates severe comprehension deficits. Mathematical intelligence represents AI's strongest domain with mastery of calculations, comparisons, patterns, and relationships.

Linguistic Processing Limitations

Communication and Processing Stages

Working with words constitutes essential communication1. Oral and written exchange occurs faster than alternatives2. This intelligence includes understanding oral and written input, managing input to develop answers, and providing understandable output3.

Multiple intelligence theory recognizes linguistic ability as one of eight types4. Children with strong linguistic intelligence excel at reading and writing5.

Current Comprehension Deficits

Computers barely parse input into keywords6. True understanding proves impossible7. Responses may be incomprehensible8. Keyword parsing represents basic processing. Systems extract significant terms. Comprehension requires understanding syntax, semantics, pragmatics9. Response generation demands linguistic knowledge spanning grammar and style10.

Mathematical Intelligence Mastery

Computational Operations

Calculating results, making comparisons, exploring patterns, considering relationships represent areas computers master11. This explains AI's development trajectory. Mathematical operations follow explicit rules admitting algorithmic implementation12. Pattern exploration demonstrates mathematical intelligence. Statistical analysis and data mining leverage computational power13.

Relationship Analysis and Performance

Considering relationships between variables represents another strength. Correlation analysis and regression modeling reveal hidden connections14. Making comparisons across large datasets exemplifies practical application. Systems sort and classify information15.

The performance gap reflects fundamental problem structure differences. Mathematics admits formal specification16. Language requires contextual interpretation. This explains why calculators emerged decades before linguistic AI17. Mathematical capabilities improve incrementally. Linguistic understanding requires conceptual breakthroughs18. Until computers achieve genuine comprehension beyond keyword parsing19, the gap between mathematical mastery and linguistic deficits persists20.

Daftar Pustaka

  1. Santoso, J. T., Sholikan, M., & Caroline, M. (2021). Kecerdasan buatan. Universitas Sains & Teknologi Komputer, p. 4
  2. Ibid.
  3. Ibid.
  4. TEMPO.CO. (2018, Oct 19). 8 Types of Intelligence. https://en.tempo.co
  5. Ibid.
  6. Santoso et al., Loc. Cit., p. 4
  7. Ibid.
  8. Ibid.
  9. Ibid.
  10. Ibid.
  11. Ibid.
  12. Ibid.
  13. Ibid.
  14. Ibid.
  15. Ibid.
  16. Ibid.
  17. Ibid.
  18. Ibid.
  19. Ibid.
  20. Ibid.