Unlocking Pre-Training: The Secret to Efficient Compression

Why is pretraining so powerful in AI?
It turns out… it’s not just about memorizing data.
In a recent conversation with Sam Altman and OpenAI researchers, they shared a fascinating perspective:
🗜️ Pretraining works like compression.
Specifically, prequential compression—a way to encode knowledge by predicting and learning efficiently.
The takeaway?
👉 The faster a model learns during training, the fewer bits it needs to represent the data.
👉 That efficiency in compression? It’s exactly what drives the emergence of intelligence.
It’s not just about size.
It’s about how little data is needed to understand a lot.
We’re not just building bigger brains.
We’re building smarter ones—bit by bit.
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