Liquid Neural Networks: The Architecture That Adapts After Training & Why AMD Bet $250M on It
Most AI models freeze after training. Liquid neural networks keep adjusting in real time, and the startup commercializing them just became a $2 billion unicorn.
What Liquid Neural Networks Actually Are
A standard AI model like GPT or Gemini learns during training and then freezes. The parameters are fixed. When you send it a prompt, the model processes your input through the same static weights every time. If the world changes or the data shifts, the model does not adapt. You retrain it, which costs millions of …