Updated The Impending Implosion Of Generative Ai And The Potential Of…

… A More Sustainable Future

_posts/2024-07-16-the-impending-implosion-of-generative-ai-and-the-potential-of-a-more-sustainable-future.markdown

@@ -117,7 +117,7 @@ CPUs and GPUs are not the only technologies for running AI. [Google has been wor
 
 There are also fascinating [Neuromorphic computing](https://medium.com/@IEEE_Computer_Society_VIT/neuromorphic-hardware-and-computing-f7cc8f71ed58) architectures like those pioneered by [FinalSpark](https://finalspark.com/) and [SpiNNcloud](https://spinncloud.com/). These are designed to mimic the energy efficiency and processing capabilities of biological brains. By leveraging biological neural networks, neuromorphic chips can achieve orders-of-magnitude improvements in performance per watt compared to traditional hardware. This could make large-scale AI far more sustainable. The ultra-low power consumption of neuromorphic chips also makes them well-suited for deployment in edge environments where energy may be limited. 
 
-By combining novel hardware like neuromorphic chips with edge computing, the next generation of AI could achieve unprecedented levels of efficiency and sustainability. That's not to say that GPUs won’t be used at all going forwards. Perhaps they will be used for certain training or prototyping stages of AI development. However, if AI-powered solutions are to be ubiquitous and affordable, large-scale operational deployment (including inferencing) will need vastly more efficient approaches.
+By combining different types of hardware like ASICs and neuromorphic chips with edge computing, the next generation of AI could achieve unprecedented levels of efficiency and sustainability. That's not to say that GPUs won’t be used at all going forwards. Perhaps they will be used for certain training or prototyping stages of AI development. However, if AI-powered solutions are to be ubiquitous and affordable, large-scale operational deployment (including inferencing) will need vastly more efficient approaches.
 
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