The AI will not run unsupervised or generate any data for the documents. Instead, it will be trained on highly structured documents to produce similar ones. Eric Ingersoll, co-CEO of Terra Praxis, estimates that the AI could reduce the human hours needed for SMR approval by 90%. Microsoft is hopeful that this initiative will accelerate its nuclear vision.
Key takeaways:
- Microsoft is training a generative AI to help create the paperwork needed for the approval of next-gen nuclear reactors, which are intended to power Microsoft data centers running generative AIs.
- Microsoft has invested $13 billion into OpenAI and built a massive supercomputer for training the startup’s generative AIs. Its data centers provide the processing power used to run the models.
- Microsoft is interested in using small modular reactors (SMRs) for nuclear energy to meet the increased electricity demand from generative AI. However, getting SMRs approved by regulators is a complex and expensive process.
- Microsoft has partnered with Terra Praxis to train the AI, which could potentially reduce the human hours needed to get a new SMR approved by 90%. The AI is not running unsupervised or generating any of the data that goes into the documents.