Former OpenAI researcher builds an AI model that judges options instead of writing text
Startup TypeSafe AI built a model called Jev that delivers fast judgments inside software instead of writing chat responses. The promised upside is speed and cost, but the limits are tight.
Startup TypeSafe AI has introduced an AI model called Jev that takes a different approach than typical chatbots. Instead of generating text, emails, or code, Jev is built to deliver narrow judgments and probabilities inside other programs. Co-founder and CEO Diogo Almeida previously worked at OpenAI and is among the authors of the InstructGPT research that laid the groundwork for ChatGPT. The core idea behind Jev: Developers define questions and possible answers, and the model scores the options. An example from the documentation shows what this could look like in practice. A customer writes to an online store saying they were charged twice for an order and asks for a refund on the second payment. Before anyone can handle the request, it has to be sorted. Is it about a payment, a delivery, or a return? Does the customer want money back, or just an explanation? This is where developers connect the store software to Jev and define these questions along with the allowed answers. With each new message, the software hands the customer’s text to Jev. What it gets back isn’t a reply letter but, say, the label “payment issue” and a probability that the customer wants a refund. The store software can then attach fixed rules. Payment issues go to accounting, refund requests get flagged. When the label is unclear, a staffer reviews the request.
