Sure, a model-based coder can losslessly compress any token stream.
I just meant that for human-written text, the model’s prediction diverges from how the text was actually produced — so the compression is formally lossless, but not semantically faithful or efficient.
"Lossless" does not mean that the LLM can accurately reconstruct human-written sentences. Rather, it means that the LLM generates a fully reproducible bitstream based on its own predicted probability distribution.
Reconstructing human-written sentences accurately is impossible because it requires modeling the "true source"—the human brain state (memory, emotion, etc.)—rather than the LLM itself.
Instead, a practical approach is to reconstruct the LLM output itself based on seeds or to store it in a compressible probabilistic structure.
Every night on Binance, someone wakes up rich — and someone else liquidated.
The market itself feels like performance art: a theater of greed and hope.
I wrote a short essay about “币安人生 (Binance Life)”, a meme coin that mocks its own players.
It has no utility, no promise — only a name that reads like a joke about us all.
What kind of casino builds a game about its gamblers?
Binance did.
Is this satire, performance art, or just another mirror of capitalism?