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Could you please translate that second example? > If the systematization of the possible is somehow reconfigured by self-learning algorithms, are the capacitie

• skedaddle 8y ago
  The full question and its response, for context: > KW: If the systematization of the possible is somehow reconfigured by self-learning algorithms, are the capacities of indefinite potential then also reconfigured when it comes to evading this very systematization? In other words: is a new, ‘intelligent’ systematization of indefinite potential arising in the context of AI? > LA: You have really identified a crucial issue here. In the final chapter of Politics of Possibility, I proposed that potentiality continues to overflow and exceed the capacity for the calculation of possibles. However, I am worried that this evasive potentiality may also be under threat, and I do address that in my new book Cloud Ethics. With contemporary deep machine learning, there is a move to incorporate the incalculable and to generate potentials that need never be fully exhausted. Gilles Deleuze once wrote that ‘the problem gets the solution it deserves’, implying that the particular arrangement of a problem will systematize a solution. To my reading, today’s algorithms are reversing this, so that the solution gets the problem it deserves – in the sense that the potential pathways of the neural net are infinitely malleable in relation to a solution. Let us not forget that by ‘solution’ we mean an algorithm that may decide juridical processes, policing, security, employment and so on. Hope this clarifies things.
  • AllegedAlec 8y ago
    Not really, imho.