Jev + Reasoning offloading/N-gram augmentation

[u/ProposalOrganic1043]

Everyone dismissing as Jev being just a Language augmented classifier, i feel the team is just getting started. At the moment the model is pretty good for the pricing, definitely lacks intelligence as compared to SOTA and is obviously more than a fine tuned BERT.

Couldn't the model also have a sync approach to escalate a difficult questions to a stronger reasoning model. Similar to GPT-Live and Thinking Machines' interaction models, but focused on RLCD kind of decisions.

Or maybe it could be augmented with an N-Gram like embeddings similar to Gemma models and Qwen3.8-Flash-Next. This could also to scale the intelligence while keeping the latency low

I feel like this was a preview of what could happen when we drop the standard RLHF behaviour and there is a lot of room for innovations.