Memtransistors: Rethinking energy-efficient computing by transcending thermodynamic constraints in semiconductor design
Original framing: “Memory-preserving transistors could bypass the Boltzmann limit” — Phys.org
Memtransistors leverage quantum tunneling and memristive effects to reduce energy dissipation, but their thermodynamic 'bypass' is relative—shifting rather than eliminating entropy. The Boltzmann limit (kT ln 2) remains a fundamental constraint, and memtransistors may merely redistribute energy costs across different system components. Scientific literature also notes that energy efficiency gains are often offset by increased computational demands (e.g., AI workloads), creating a rebound effect.
The memtransistor narrative exemplifies the techno-utopian mythos that treats thermodynamic limits as mere obstacles to be overcome, rather than signals of a deeper systemic misalignment between computing and ecology.
This framing obscures the colonial and racialized supply chains that enable 'innovation,' while ignoring Indigenous and cross-cultural frameworks that view memory as relational and energy as sacred. Historically, computing's energy hunger is a legacy of Cold War priorities and industrial-era paradigms, not an inevitable constraint—memtransistors are a continuation, not a departure, from this path. A systemic solution requires degrowth computing, energy democracy, and Indigenous-led material innovation, where 'memory preservation' is redefined not as silicon permanence but as ecological reciprocity. The trickster's laughter reminds us that the absurdity lies not in the technology itself, but in the solemnity with which we treat its promises, ignoring the gods of entropy who demand balance.