Don’t Reason Over Every Token: LycheeMemory Turns Long Context Into a Budget
TL;DR for operators When a system receives hundreds of thousands of tokens, the expensive part is not only fitting the evidence into memory. It is deciding how much reasoning effort each part deserves. Processing every chunk with the same autoregressive budget preserves more opportunity to use evidence, but it also spends latency and GPU time on material that may never matter. ...