Mostik AI says smaller models can use frontier-model reasoning
In a test pairing a 753-billion-parameter model with a 4-billion-parameter model, the team reports results 80% as accurate as the frontier model at 20x faster performance.
TLDR
Mostik AI says its protocol lets a frontier model pass hidden states—internal model representations—directly to a smaller model running on a user's infrastructure. The team says the models can come from different families, with no text exchanged and neither model fine-tuned. In its reported test, a 753-billion-parameter model read the problem and a 4-billion-parameter model wrote the answer, producing results the team describes as 80% as accurate as the frontier model at 20x faster performance.
Combined views
—
1 Source, first seen ago
