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.
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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