like bitching schoolgirls with too tight knickers, guess if you can give it you got to take it too, pissing with the big dogs
On Sun, Sep 8, 2019, 17:45 Nanograte Knowledge Technologies < nano...@live.com> wrote: > agreed. ramblings of a 1st year student who discovered philosophical > studies. > > ------------------------------ > *From:* Stefan Reich via AGI <agi@agi.topicbox.com> > *Sent:* Sunday, 08 September 2019 12:22 > *To:* AGI <agi@agi.topicbox.com> > *Subject:* Re: [agi] Re: Failure to Gravitate > > Sorry if I'm blunt, but these are all really just words, not contributing > to actual AGI production. > > On Sun, 8 Sep 2019 at 01:14, <immortal.discover...@gmail.com> wrote: > > You forgot the newest and the simplest things too ;) > > Lots of people focus on all sorts of things, many are between the atomic > and galactic size, such as HDDs and rooftops. Lol. > > ...It is important we focus on the farthest questions, the simplest, the > newest, the most important, and even seemingly unrelated problems. > > But what does farthest mean? What does newest mean? Why bother if they are > unrelated to AGI? That's correct, we want the farthest and newest and > oldest questions only if they are about AGI. Many are important, some more > priority than others. Simpleness can mean quick to answer and higher > priority. Newest/ oldest/ farthest simply means to give these questions a > quick check if they are important to answer, they may not be at all, and as > for farthest - this can allow you to weigh in on if your theory answers all > sorts of observations, can allow you to learn from related but diverse > questions. > > So in short summary recap: Physics leans towards the most important > questions on its own. It will give fast checks to old/ new/ far/ simple/ > unrelated questions. The brain will usually (not for some ;) ) try to learn > as much as can about related/unrelated knowledge as quick as can, related > more so. So old/ new doesn't mean much, they are only checked if are fast > to solve and/or related. Partially unrelated learning is very helpful. So, > the brain looks for 'new yummy streams' of related and somewhat related > info that is fast to answer or verify true. Now that I have weaved on a > roll here in my attentional memory I can say that new/ old/ far as said > above was really just new info fed in and the brain always wants new > related+somewhat unrelated info that is fast to answer/ verify, hence > increasing the knowledgebase learning up high faster. Of course we want to > answer how to build AGI, it's hard, the brains stay locked on the hard > problem, but they can get they in polynominal time by stepping the right > directions down the butterfly tree effect like AlphaZero using self-play > learning on advanced GPUs made by Nividea. So this means the brain wants to > tackle the hard, evolution-installed goals of self preservation to death de > part, and it takes baby steps as fast as can. Usually many want just a > house and a lover, it's not hard to make a life, it's hard to advance > evolution though. But these are the smarter ones, they are seeking full > preservation, and its hard. And the brain allows you to get there fast > using baby steps, even though it is one of the hardest problems. I say one > of because AGI is simpler than a global ASI hive or omega structure nebula. > We tackle AGI because it is the direct easiest step to become immortal near > instantly. But its hard. But its the best weighed in route. So the brain is > taking the best fastest route to get what, it wants. And in that process, > it is taking sub steps that are fast to learn or build in R&D, to get to > the AGI goal. > > > > -- > Stefan Reich > BotCompany.de // Java-based operating systems > *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/Tb261469785facfd2-Mf9b69765d3ec84100fa22df1> > ------------------------------------------ Artificial General Intelligence List: AGI Permalink: https://agi.topicbox.com/groups/agi/Tb261469785facfd2-M7f4444dbc4d5874fc543cac1 Delivery options: https://agi.topicbox.com/groups/agi/subscription