Jev + Treg is a crazy combo for automation...

So you probably saw this new model Jeff popping up on Twitter for the past few days. C problem try to answer is why the latest model is already so good advanced task like coding and mess but still sucks at basic business workflow and automations like it can handle Olympic mass level problems really well. But

when you ask to handle a customer inquiry that involve billings most companies never trust agent or model to make that decision fully autonomously cause reasons kind of come down to two. Why is the overconfidence? You definitely experience agents just saying you're absolutely right. Well, in fact, it is absolutely wrong. So the model

today will make judgment call like this without calibrate the actual confidence. While most of business workflow require almost 100% accuracy. That's why human is good. And on the other hand, the cost and speed need to make sense because many business workflow has huge scaled volume. And the reason large model today have those factors is also baked in

results from the training process. The large learn model today all goes through this reinforced learning from human feedback process where the model will be fine-tuned based on feedback that human give in chat assistant. But what Jeff take is something they call the reinforced learning for calibrated decisions. So in short it is a model

that designed for reliable highquality decision making rather than being creative or assist human. Basically it is model that designed to make a decision giving a set of options but it cannot make up options itself and it cannot output text it cannot write code it cannot reason step by step so as a result unlike normal library model where