But this is the No Free Lunch right there. On Sun, 27 Sep 2020, 20:05 Matt Mahoney <[email protected]> wrote:
> > > On Sun, Sep 27, 2020, 1:41 PM Danko Nikolic <[email protected]> > wrote: > >> I see the no free lunch theorem striking every day. Every time we pick >> one ML architecture for one type of problem and another architecture for >> another type of problem, it is the No Free Lunch Theorem dictating the fact >> that we have to make thos chices and are not able to have one the same >> architecture for all kinds of problems. >> > > There is no simple, universal prediction algorithm. Suppose you have one. > Then I can create a simple sequence that you can't predict. My program runs > a copy of your program and outputs the opposite of your prediction. > > The best compressors have lots of code to handle lots of rare, special > cases. It's not because of the no free lunch theorem. It's because you can > always find something that your program can't compress, and you have to add > yet another special case. > >> *Artificial General Intelligence List <https://agi.topicbox.com/latest>* > / AGI / see discussions <https://agi.topicbox.com/groups/agi> + > participants <https://agi.topicbox.com/groups/agi/members> + delivery > options <https://agi.topicbox.com/groups/agi/subscription> Permalink > <https://agi.topicbox.com/groups/agi/Ta433301e9ac5fb42-Ma5ea798b6ef2e4396fa8ad4f> > ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/Ta433301e9ac5fb42-M8b88a544d50382b263a7eb99 Delivery options: https://agi.topicbox.com/groups/agi/subscription
