Capitalism Might Cool the Planet After All
If AI’s energy addiction doesn’t bankrupt us, capitalism might just fix it, one efficiency-obsessed CFO at a time.
AI’s energy hunger has sparked anxiety but optimism simmers below the surface. Smarter training methods cut model bloat. Parallel computing, already key in GPU design, promises leaner inference.
EnCharge’s analog in-memory chips and IBM’s neuromorphic and optical alternatives hint at post-digital futures. Microsoft’s Copilot+ PC pushes compute to the edge, while Europe pipes waste heat from data centers to homes and Olympic pools.
Phononic’s thermoelectric chips—emitting phonons cool servers dynamically, helping avoid thermal meltdowns. Crucially, smaller bespoke models are replacing bloated generalist LLMs.
Efficiency is no longer optional, it’s existential and we’re entering an era where the cost of intelligence isn’t just data, it’s degrees Celsius. In a race driven by cost, energy might just be the real constraint shaping AI’s evolution.
Read the full article on MIT Technology Review.
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