Implications of new Reasoning Capabilities for Science and Security: Results from a Quick Initial Study

Technical Report · Wed Oct 16 00:00:00 EDT 2024

DOI:https://doi.org/10.2172/2479365· OSTI ID:2479365

Pruet, Jason Anthony ^[1]; Duraisamy, Karthik ^[2]; Agrawal, Vinamra ^[1]; Biswas, Ayan ^[1]; Bujack, Roxana Barbara ^[1]; Grosskopf, Michael John ^[1]; Hagberg, Aric Arild ^[1]; Hu, Bin ^[1]; Lawrence, Earl Christopher ^[1]; Li, Wenting ^[1]; Michalak, Eric Steven ^[1]; Michaud, Isaac James ^[1]; O'Malley, Daniel ^[1]; Estrada Santos, Javier Andres ^[1]; Raman, Venkat ^[2]; Scheinker, Alexander ^[1]

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1. Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
2. Univ. of Michigan, Ann Arbor, MI (United States)

On Thursday, September 12 OpenAI released “a new series of models designed to spend more time thinking… they can reason through complex tasks and solve harder problems than previous models in science, coding, and math.” These models are referred to as o1-preview and o1-mini and appear to be first results of what had been a closely held project called Strawberry within OpenAI. The models are not described as successors in the earlier GPT series because they provide a qualitatively different type of capability, especially step-by-step reasoning.

• Research Organization: Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: 89233218CNA000001
• OSTI ID: 2479365
• Report Number(s): LA-UR--24-30237
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING