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0 sats \ 0 replies \ @deSign_r OP 10 Sep \ parent \ on: What creative ideas have you been rambling on? Design
The tricky part though is both parties (sender / reciever) will need to run the same quite complex code suite, same LLM weights, same LLM inference process, and same version of my "innocuous" algortihm on top.
That's definitely a blocker. Could be all this package wrapped in a docker and used by both parties when needed instead of been set up locally ad hoc each time?
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