Diogo Almeida and team released Jev, a new frontier AI model trained using RLCD methodology, which outperforms Astra, Fable, and Opus on radiofrequency engineering tasks with claimed 20-200x faster performance.
TypeSafe AI launched Jev, a structured decision model that returns probabilities instead of free-form text, claiming 70–500ms response times and significantly lower costs than large language models. The company raised $40 million in seed funding led by DCVC, though independent performance verification remains limited.
TypeSafe AI introduced Jev, a specialized 'System One' model designed for fast, bounded decisions in production systems. Unlike general-purpose LLMs, Jev outputs typed probabilistic decisions directly rather than generating text, achieving significantly lower latency and cost for operational tasks like incident routing and severity assessment.
TypeSafe AI announced Jev, a new frontier model optimized for structured decision-making and automation rather than text generation. Jev achieves comparable intelligence to existing large language models while being 40-400x cheaper and 20-200x faster, with parallel sampling that eliminates hallucinations and type errors.