Fr I was about to say the same thing. Aside from better hardware and more layers the technology really hasn’t changed from this level to begin with.
We’ve learned a little about what emergent behavior and trends look like in machine learning algorithms when graphed, though: it becomes more and more convergent, as if it forms its own little confirmation bias it will produce more and more samey results.
Rebranding a Markov Chain stapled onto a particularly large graph
Could you elaborate how this applies to various areas of AI in your opinion?
Several models are non-markovian. Then there are also a lot of models and algorithms, where the description as or even comparison to Markov-chains would be incorrect and not suitable.
So much of the drift has just been marketing. Rebranding a Markov Chain stapled onto a particularly large graph as Master Computer from Tron.
Fr I was about to say the same thing. Aside from better hardware and more layers the technology really hasn’t changed from this level to begin with.
We’ve learned a little about what emergent behavior and trends look like in machine learning algorithms when graphed, though: it becomes more and more convergent, as if it forms its own little confirmation bias it will produce more and more samey results.
Could you elaborate how this applies to various areas of AI in your opinion?
Several models are non-markovian. Then there are also a lot of models and algorithms, where the description as or even comparison to Markov-chains would be incorrect and not suitable.