Language Models Are Not the Answer: World Models Hold the Key
1 min read
AI for Software Engineering (Copilots, SDLC, Testing)
-/5
In short
- Let’s be clear: language models are not the spark we need for a scientific revolution.
- Tom Zahavy from Google Deepmind hits the nail on the head in his position paper, "LLMs can't jump." These models lack the cognitive mechanisms to innovate.
- They churn out text but miss the essence of true creativity.
Let’s be clear: language models are not the spark we need for a scientific revolution. Tom Zahavy from Google Deepmind hits the nail on the head in his position paper, "LLMs can't jump." These models lack the cognitive mechanisms to innovate. They churn out text but miss the essence of true creativity. This matters now more than ever. If you ignore this, you lose time. The future lies in world models, not in the limitations of language processing. Companies that cling to outdated paradigms will fall behind. It’s time to embrace the potential of world models. This changes the game. Don’t be left in the dust. Act decisively and adapt to the new landscape of innovation.
Source:
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Language models can't spark scientific revolutions, but world models might — The Decoder (EN-US)