
A New Kind of Model for AI Decision-Making?
Artificial IntelligenceA New Kind of Model for AI Decision-Making?Exploring TypeSafe's Jev and comparing it with OpenAI on intent classificationMariya MansurovaSeptember 21, 20267 min readImage generated by authorTypeSafe.AI recently launched its first model, Jev. Similar to LLMs, System One models can take natural language as input, so there’s no real difference there.Learn this step by step with the interactive AI Engineer roadmap.You can find more details about the training process in the documentation. The interesting part about Jev is its post-training approach.
- ▪Artificial IntelligenceA New Kind of Model for AI Decision-Making?Exploring TypeSafe's Jev and comparing it with OpenAI on intent classificationMariya MansurovaSeptember 21, 20267 min readImage generated by authorTypeSafe.AI recently launch
- ▪Similar to LLMs, System One models can take natural language as input, so there’s no real difference there.Learn this step by step with the interactive AI Engineer roadmap.You can find more details about the training process in the document
- ▪The interesting part about Jev is its post-training approach.
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| Original publisher | Towards Data Science |
| Canonical URL | https://towardsdatascience.com/a-new-kind-of-model-for-ai-decision-making/ |
| Publication time | Mon, 21 Sep 2026 15:30:02 GMT |
| Retrieval time | 2026-09-21T15:33:48.834Z |
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Artificial IntelligenceA New Kind of Model for AI Decision-Making?Exploring TypeSafe's Jev and comparing it with OpenAI on intent classificationMariya MansurovaSeptember 21, 20267 min readImage generated by authorTypeSafe.AI recently launched its first model, Jev. They claim it’s the first model of a new kind (a System One model) that is fundamentally different from the LLMs we’ve been working with (and hyping up) over the last several years.This new model looks particularly well suited to many everyday use cases, such as classification (e.g. topic modelling for NPS comments) or LLM-as-a-judge tasks.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Towards Data Science.