Tokens: Silicon Valley's Sneaky Cash Cow in Every AI Chat
What if the 'atoms' of AI aren't innovating language, but just padding your invoice? Tokens rule LLMs, but who's really profiting from these invisible slices?
⚡ Key Takeaways
- Tokens are subword chunks via BPE, roughly ¾ word each, driving all LLM processing.
- Different models = different token counts and costs; always check.
- Tokenization echoes 90s compression but now boosts AI firms' pricing power.
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Originally reported by Towards AI