The idea Attention is all you need not only applicable to transformers and LLMs, but also applicable to the entire generative AI and Internet field.

by Qianyi Li2 months ago
2

The attention mechanism is the core of generative AI. Human perception has bottlenecks and cannot process all information; attention is the bottleneck through which the human brain and AI neutral network filters and focuses information.
The thoery model of the internet is also built precisely on human
attention or connection. Internet products compete for users' limited attention and convert it
into traffic. Whether it's a search engine's PageRank(which can be understood as a kind of attention voting between web pages)or recommendation algorithms that complete content distribution by predicting what users will pay attention to, their core mechanisms align with the mathematical description of the
attention mechanism.

AIattentiontransformerneutral networkinternetsearch enginerecommendation algorithmImplemented:https://github.com/Hypogenic-AI/attention-in-ai-d12f-claudeImplemented:https://github.com/Hypogenic-AI/attention-for-ai-bc53-codexImplemented:https://github.com/Hypogenic-AI/attention-for-ai-f38a-gemini
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If you are inspired by this idea, you can reach out to the authors for collaboration or cite it:

@misc{li-the-idea-attention-2026,
  author = {Li, Qianyi},
  title = {The idea Attention is	 all you need not only applicable to transformers and LLMs, but also applicable to the entire generative AI and Internet field.},
  year = {2026},
  url = {https://hypogenic.ai/ideahub/idea/NdXvHYxOFU400YENr4eI}
}

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