This is the best summary I could come up with:

A study attempting to fine-tune prompts fed into a chatbot model found that, in one instance, asking it to speak as if it were on Star Trek dramatically improved its ability to solve grade-school-level math problems.

"It's both surprising and irritating that trivial modifications to the prompt can exhibit such dramatic swings in performance," the study authors Rick Battle and Teja Gollapudi at software firm VMware in California said in their paper.

"Among the myriad factors influencing the performance of language models, the concept of 'positive thinking' has emerged as a fascinating and surprisingly influential dimension," Battle and Gollapudi said in their paper.

Their study found that in almost every instance, automatic optimization always surpassed hand-written attempts to nudge the AI with positive thinking, suggesting machine learning models are still better at writing prompts for themselves than humans are.

The prompt then asked the AI to include these words in its answer: "Captain's Log, Stardate [insert date here]: We have successfully plotted a course through the turbulence and are now approaching the source of the anomaly."

Axel Springer, Business Insider's parent company, has a global deal to allow OpenAI to train its models on its media brands' reporting.

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