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Today's GenAI models are cost and energy pigs. Quantum tech could fix that.

Jan 19, 2024 - businessinsider.com
Zapata, a Harvard spinoff startup, uses quantum physics math to train generative AI models with significantly less data, offering an alternative to the "transformer" tech that powers OpenAI. The company has won over Andretti Racing, which is taking Zapata public via a SPAC, and has other high-profile customers like BMW. Zapata's technology requires 10 to 300 times less training data for equal or better accuracy, making it a more cost-effective and energy-efficient solution.

Despite generating $5.2 million in revenue in 2022 and being on track to outpace its 2023 revenue, Zapata reported a loss of $23.4 million from operations in 2022. The company competes with AI companies like Anthropic and Cohere, and also with tech giants like Fujitsu, Google, IBM, Meta, and Microsoft, which are also exploring the use of quantum physics for generative AI. Zapata's services can be used as a cloud service or as software in a data center, but typically require consultant services for setup.

Key takeaways:

  • Zapata, an AI startup from Harvard, uses quantum physics math to create AI models that require significantly less training data, making it a more cost-effective and energy-efficient alternative to traditional transformer tech.
  • Andretti Global, a car racing company, has become a believer in Zapata's technology, using it to predict things like tire degradation, and is taking Zapata public via a SPAC.
  • Zapata competes with AI companies like Anthropic and Cohere, and also with tech giants like Fujitsu, Google, IBM, Meta, and Microsoft who are exploring the use of quantum physics for generative AI.
  • Despite its cost and energy efficiency, Zapata's technology is not a cheap, DIY option. Companies typically need to hire Zapata consultant services to set up the technology, either as a cloud service or as software that runs in their own data center.
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