How to Build a GPT-3 for Science

This paper studies the impact of artificial intelligence on innovation, exploiting the randomized introduction of a new materials discovery technology to 1,018 scientists in the R&D lab of a large U.S. firm. AI-assisted researchers discover 44% more materials, resulting in a 39% increase in patent filings and a 17% rise in downstream product in... See more

Left to its own devices, research tends to become more specialized and abstracted from the real-world problems that motivated it and to which it remains relevant.

This suggests that a problem may be tackled effectively not my commissioning more research, but by assuming most or all of the solution can already be found in various scientific journals,... See more

it is kind of surprising that none of the major AI labs seem to have put out any deep documentation aimed at non-specialists. There are some guides for programmers or serious prompt engineers, but remarkably little aimed at non-technical folks who actually want to use these systems to do stuff - the vast majority of users