Hi Matt, I am always intrigued by those numbers, do you have a paper on this or another source? I may have missed it at some point in the past. Also, didn't evolution evolve wheels? Why and where would you draw a line?
Best, Martin On Thu, Jun 20, 2019 at 12:02 AM Matt Mahoney <[email protected]> wrote: > Not impressed. The paper lacks an experimental results section. > > The paper proposes learning how to learn AI algorithms. Since Legg and > Hutter proved that there is no such thing as a simple, universal learning > algorithm, something more than someone's idea is needed. > > Half of human knowledge is learned and half is inherited (10^9 bits each). > The fastest way to code the inherited half is to write on the order of 100 > million lines of code at a cost of $100 per line. The alternative, > evolution, is often cited as a simple, universal learner but it is not > universal (we did not evolve wheels), nor is it computationally feasible. > It cost 10^48 DNA base copy operations to write our own source code. > > On Wed, Jun 19, 2019, 2:51 AM Junyan Xu <[email protected]> wrote: > >> Jeff Clune: https://twitter.com/jeffclune/status/1128327656401850369 >> > *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/Tf33072618c7254e4-Mc448e6d9cc0438c2c666200d> > ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/Tf33072618c7254e4-M0734852cc1c858184acb31a7 Delivery options: https://agi.topicbox.com/groups/agi/subscription
