New "KernelFlume" method allows LLMs to handle longer contexts more efficiently, reducing the need for costly, duplicative scaling.
FO Take · Score 85
The current LLM scaling model is a profligate mess. Duplicating entire instances for bursty demand is financially and environmentally unsound. KernelFlume's elastic core-attention is a necessary paradigm shift. We must demand efficiency, not endless resource bloat. When will we stop building data centres the size of small nations for every computational whim?
The strongest counter
KernelFlume is a minor optimisation. The fundamental issues of model size and energy consumption remain unaddressed. This merely pushes the problem elsewhere.
