TypeSafe launched Jev because sequential LLMs are totally useless for computers

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Published: 2026-09-21T19:51:26.151Z • Permanent link

TypeSafe, a stealthy startup backed by $40 million in seed funding, has emerged with a bold claim: sequential Large Language Models (LLMs) are "totally useless for computers." The company's CEO, Edward Kmett, and co-founder, John D. Calhoun, have made headlines by launching Jev, a novel approach to language processing that challenges the conventional wisdom on LLMs. Kmett and Calhoun's assertion has sent shockwaves through the Global Infrastructure domain, with many industry experts weighing in on the implications.

TypeSafe's Jev is a result of two years of research and development, with the company drawing inspiration from the field of functional programming. The approach is designed to provide a more efficient and scalable way of processing language data, one that can be applied to a wide range of applications beyond natural language processing. According to Kmett, Jev's architecture is based on a novel combination of type systems and functional programming principles, which allows it to process language data in a more modular and composable way.

Kmett and Calhoun's background in academia and research has equipped them with a deep understanding of the technical challenges facing the development of LLMs. Both have held positions at top universities and research institutions, and have published numerous papers on topics related to programming languages and software engineering. Their expertise has been instrumental in shaping TypeSafe's approach to language processing, one that is both theoretically sound and practically applicable.

The emergence of TypeSafe and Jev has significant implications for the Global Infrastructure domain. Many companies, including tech giants like Google and Amazon, have invested heavily in the development of sequential LLMs. However, Kmett and Calhoun's assertion that these models are "totally useless for computers" has the potential to disrupt the status quo and force a re-evaluation of the approach being taken in this field.

TypeSafe's Jev is likely to have a major impact on the research community, with many experts eagerly awaiting the opportunity to test and validate the approach. The company's claims have also sparked debate within the industry, with some arguing that Jev represents a significant breakthrough and others expressing skepticism about its potential. As a result, TypeSafe's Jev is likely to be the subject of intense scrutiny and analysis in the coming months and years.

The emergence of TypeSafe and Jev also has broader implications for the Global Infrastructure domain. The company's approach to language processing has the potential to be applied to a wide range of applications, from natural language processing to software development. As such, it is likely to have a significant impact on the markets and policy environments that govern the development and deployment of these technologies.