In defence of AI

Yes, I know nobody wants to hear it, and it's fun for people to point at my recent albums and say that they were done the old-fashioned way without autotune or quantising, but the truth is that all forms of computing were based on how we saw our brains. That probably goes all the way back to the abacus, but we'll start with Babbage. He sought to make a thinking machine. That sounds a lot like what AI is... Tātai Whetū was based on roughly four decades of consciousness studies. All we did was reframe the problem from raw computation to relational consciousness. Instead of the idea that the computer is somehow better because it's faster, we're saying that intelligence is meaningless unless it can be understood relationally. If the AI output is too shit, then it's not intelligent (that's where I agree with the detractors). - We're moving from neural nets to quantum computers. Bill Gates is using Māori ideas. Tātai and Andy's thesis are the bridge: Tātai underpins the OS, Dr. Riddell underpins the pruning necessary to run thousands of parallel simulations. It also solves the eco-crisis. This model really will be environmentally efficient, largely as Tātai comes with ethical principles that require it. If each suboptimal simulation is terminated because it fails to make the grade, then the energy that it would have expended isn't used. That's why all the smart techies are working on those problems, not a better AI. AI is basically able to write itself now, and Tātai was written with ChatGPT. Data always gets smaller. Data always becomes easier to store. It's not Moore's Law, but it's close to it.