Modern Artificial Intelligence Systems
This article examines the emergence of specialized artificial intelligence systems and analyzes the cognitive differences between modern AI models. The paper explores how contemporary AI architectures are evolving from general-purpose generative systems into distinct cognitive classes focused on reasoning, retrieval, multimodal processing, and autonomous task execution. Comparative analysis of ChatGPT, Claude, Gemini, DeepSeek, Grok, Perplexity, and Manus AI is presented within a broader framework of cognitive specialization and human–AI interaction. The article argues that future AI development will likely be shaped by orchestrated ecosystems of specialized cognitive systems rather than a single universal intelligence.
Authors
- Alexander Bykovski
Institutions
- Instituto de Pesquisas Energéticas e Nucleares (BR)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-06-08
- DOI
- https://doi.org/10.5281/zenodo.20597646
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00