This is tanatalising:
Could the next Leo Tolstoy or Jane Austen be a well-engineered AI software programme? It’s a question that is becoming increasingly pressing as machine language learning software continues to evolve. No one likes to face their own possible obsolescence — especially not writers, who prefer to believe that literary talent is unique and irreplaceable.
The results were mixed:
The writers at the Wordcraft workshop, however, emerged with mixed reports. After a few weeks, Liu figured out how to tame his AI dragon: “By taking the seed from LaMDA and saying, ‘Yes, and . . . ’ I can force myself to go down routes I wasn’t thinking of exploring and make new discoveries.” Other writers swiftly discovered its limits. “Here is the problem,” Robin Sloan wrote, “Wordcraft is too SENSIBLE. Which of course is a great success for the language model: it knows what’s sensible! Wow! But ‘sensible’ is another word for predictable; cliched; boring. My intention here is to produce something unexpected.”
I have only included this as a range of possibilities around what is about to come. AI in healthcare will require effective transcription of notes; these efforts to “infuse empathy” in writing and generate abstract language notations will be used as “rules” to transcribe, augment and add to the spoken interaction. See these developments in this context.