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We now think of internal representation as great big…

“We now think of internal representation as great big vectors, and we do not think of logic as the paradigm for how to get things to work. We just think you can have these great big neural nets that learn, and so, instead of programming, you are just going to get them to learn everything.” quote by Geoffrey Hinton
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“We now think of internal representation as great big vectors, and we do not think of logic as the paradigm for how to get things to work. We just think you can have these great big neural nets that learn, and so, instead of programming, you are just going to get them to learn everything.”

Geoffrey Hinton

About This Quote

This interpretation was drafted with AI assistance. It is one reading of the quote, not the author's own explanation.

Modern AI focuses on large neural networks rather than symbolic logic, treating learning as the primary method.

In simple terms: AI now relies on big neural nets, not explicit logic programming.

Key Takeaway

Embrace data‑driven learning over rule‑based coding.

Themes

AI machine learning neural networks

Mood

analytical critical

Type

technical philosophical

When to use this quote

  • research labs
  • software development
  • education
  • product design
  • policy making

Key Concepts

deep learning representation learning

Questions to Reflect On

  • How can we balance learning with logical reasoning?
  • What safeguards are needed for black‑box models?
A Different Perspective

Overreliance on data can ignore interpretability and bias concerns.

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