AI and the brain: similar in scale, different in design
In recent years, Artificial Intelligence (AI) has undergone a massive growth spurt. However, not so long ago, Large Language Models (LLMs) such as ChatGPT, Gemini, and Claude were curiosities. You could trick them, confuse them, or make them contradict themselves.
- ▪In recent years, Artificial Intelligence (AI) has undergone a massive growth spurt.
- ▪However, not so long ago, Large Language Models (LLMs) such as ChatGPT, Gemini, and Claude were curiosities.
- ▪You could trick them, confuse them, or make them contradict themselves.
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| Original publisher | The Hindu |
| Canonical URL | https://www.thehindu.com/sci-tech/technology/ai-and-the-brain-similar-in-scale-different-in-design/article70663265.ece |
| Publication time | Tue, 21 Jul 2026 12:47:18 +0530 |
| Retrieval time | 2026-07-21T07:32:05.456Z |
| Last seen | 2026-07-21T07:32:05.456Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | fSXeHhqtCtD_ |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
In recent years, Artificial Intelligence (AI) has undergone a massive growth spurt. However, not so long ago, Large Language Models (LLMs) such as ChatGPT, Gemini, and Claude were curiosities. You could trick them, confuse them, or make them contradict themselves. Today, they have evolved into versatile companions that can write software, assist scientific research, extract insights from a large set of documents, and offer structured guidance across a wide range of domains. Today’s multi-modal AI systems no longer operate on text alone; they interpret images, analyse audio, generate video, and combine these streams in seamless ways.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at The Hindu.
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