The TWIML AI Podcast · Monday, July 27, 2026
Borth draws an analogy between weight space learning and language models. Just as language models are trained on text data to understand and generate language, a model trained on neural network weights could potentially analyze and generate new weights.
“So to take another analogy, you know, language models, you take a big model, you train this on every single sentence on the internet, at the end you have a language model able to analyze language and to generate language.”
“We do the same idea on all the weights of trained neural networks, so we can analyze weights of neural networks and we can generate weights of neural networks.”