> Apple silicone with its unified memory architecture, GPU and Neural cores is very well placed for local LLMs. Yes, university research from 2011 already show

> Apple silicone with its unified memory architecture, GPU and Neural cores is very well placed for local LLMs. Yes, university research from 2011 already showed a privacy focused design to machine learning[1]. But will this be private or public like Wikipedia, Bitcoin and Bittorrent? > Effectively an extension to your own brain. Correct. After 1996 fantasy/visionary publications about this, we now know roughly how to do this. Most difficult problem is who should own it, no corporation in control is desired. That means full decentralisation, federated learning is not enough. But fully decentralised learning is hard. Try to apply machine learning in permissionless, byzantine, unsupervised, decentralised, adversarial, continuous learning context. See my lab at Delft University focused for a decade already on "The Global Brain"[2]. With 2.3 million download and crowd-sourcing, we might get there.. [1] "Gossip Learning with Linear Models on Fully Distributed Data", 2011, https://arxiv.org/abs/1109.1396 https://arxiv.org/abs/1109.1396 [2] The Global Brain - the roadmap, https://github.com/Tribler/tribler/issues/7064 https://github.com/Tribler/tribler/issues/7064