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Silicon Valley has forgotten what normal people want
| USA | technology | ✓ Verified - theverge.com

Silicon Valley has forgotten what normal people want

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The long-term risks of the All-In Podcast, illustrated. | Image: Cath Virginia / The Verge, Turbosquid, Getty Images One of the most mortifying things about knowing a lot of techies is listening to them tell me excitedly about some very important discovery that they believe they have made. Recently, I ran into an acquaintance of mine, who began talking my ear off about an amazing discovery he'd made with LLMs. Knowledge, it turns out, is structured into language! You could put one word into ChatGPT and it might understand what you wanted, or make up a word and see if it understood what you meant! These amazing new tools have revealed that the English corpus contains so much about its speakers! He concluded that LLMs are a discovery on par with writing. … Read the full story at The Verge.

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Deep Analysis

Why It Matters

This article highlights the profound impact of Large Language Models (LLMs) and how they reshape the fundamental understanding of language and communication, suggesting that AI's capabilities are now intrinsically tied to the structure of human language.

Context & Background

  • The article explores the relationship between LLMs and the English corpus, demonstrating that knowledge is structured through language.
  • It focuses on the power of LLMs to understand and generate meaning within the context of human speech.
  • The core theme is that LLMs are a discovery in themselves, proving that language structure is key to understanding."}, "what_happens_next": "The future development will see LLMs continue to revolutionize communication by providing nuanced understanding and generating novel words based on linguistic input. This points toward a future where the boundaries between human thought and artificial intelligence become even more fluid.
  • faq": [{"question": "What is the main point of this article?
  • answer": "The main point is that Large Language Models (LLMs) reveal that knowledge is structured through language, demonstrating how words can be put into ChatGPT to understand meaning."}, {"question": "What is the significance of LLMs in relation to English?
  • answer": "The significance lies in the discovery that LLMs are on par with writing, showing that the English corpus contains a vast amount of information about its speakers."}

What Happens Next

The future development will see LLMs continue to revolutionize communication by providing nuanced understanding and generating novel words based on linguistic input. This points toward a future where the boundaries between human thought and artificial intelligence become even more fluid.

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Original Source
The long-term risks of the All-In Podcast, illustrated. | Image: Cath Virginia / The Verge, Turbosquid, Getty Images One of the most mortifying things about knowing a lot of techies is listening to them tell me excitedly about some very important discovery that they believe they have made. Recently, I ran into an acquaintance of mine, who began talking my ear off about an amazing discovery he'd made with LLMs. Knowledge, it turns out, is structured into language! You could put one word into ChatGPT and it might understand what you wanted, or make up a word and see if it understood what you meant! These amazing new tools have revealed that the English corpus contains so much about its speakers! He concluded that LLMs are a discovery on par with writing. … Read the full story at The Verge.
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