LLM wrappers business model is going to shift: LLMs require always more data to stay competitive.
they currently make wrappers pay to use them (Cursor, Lovable etc.)
soon, LLMs will PAY wrappers to be used by them, in exchange for data training
Most people don’t know @cursor_ai lets you create custom commands with simple .md files.
One screen defines /optimize in .cursor/commands/optimize.md. The other: just type /optimize this file and it runs.
Feels like giving your editor superpowers with a few keystrokes.
while this example might be funny, it made me realise something: we are currently paying even for wrong answers.
each use of gen ai is paid through tokens, so we literally pay for wrong answers.
we are still at the early days of gen ai, so it does not seem absurd. Yet.
While I am extremely admiring of the work done by @elonmusk via @Tesla and @SpaceX among others, what about the limits of metal resources on Earth for the future of these two companies? Will there always be enough? Or will we have to look elsewhere?
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