Technical Term: Neuromorphic

Hardware Lessons from LISP

The computing industry stands at a fascinating juncture in 2025. After decades of general-purpose processor dominance that led to the accidental emergence of general purpose GPU, we’re witnessing what appears to be a reverse inflection point. Specialized architectures are re-emerging as an economic imperative, but with crucial differences from the LISP machines of the past. Our analysis examines how languages inheriting from LISP’s legacy, particularly F# and others with lineage to OCaml and StandardML, are uniquely positioned to realize the advantages of new hardware coming from vendors like NextSilicon, Groq, Cerebras and Tenstorrent: a concept we’re calling Dataflow Graph Architecture (DGA).