There's some speculation that Jev is an open weight model with novel post-training (RLCD). So, if these folks have competitive accuracy with just the base model, it may raise some questions about the necessity of Jev's architecture. You generally don't want to find yourself competing only on price.
Whether Jev is something architecturally different from an LLM (bidirectional vs auto-regressive? different type of parallel readout head?) remains to be seen, or guessed, but LLMs are certainly fungible and are competing on price - they leapfrog each other from release to release, but overall they are all progressing in unison.
When it comes to the high volume market of business automation, it seems that ultra-low cost, rather than expensive frontier intelligence, is exactly what you want, and low latency is also nice to have for customer-facing applications like customer service chatbots.
m4y0u · · focus · HN ↗
kylecazar · · focus · HN ↗
Fyi, I haven't tested this yet.
HarHarVeryFunny · · focus · HN ↗
When it comes to the high volume market of business automation, it seems that ultra-low cost, rather than expensive frontier intelligence, is exactly what you want, and low latency is also nice to have for customer-facing applications like customer service chatbots.