Re: [agi] Re: Pre-Release: Building On GPT-2's Successors "Blender" and "PPLM"

[immortal . discoveries]

( We have many hairs, fingers, eyes, cells, but only one code for it. )
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Re: [agi] Re: Pre-Release: Building On GPT-2's Successors "Blender" and "PPLM"

[immortal . discoveries]

DNA and Brains both store information and mutate it to create new organisms and 
new ideas. We pass down our genes and memories to our kids. And today you can 
easily see the rapid pace of evolution now starting to become faster, and it's 
clear it's all about computation of data and AI. That's because evolution *is* 
computation aka phones, communications, AI, etc.

DNA and brains both model a ton of data, they can do a LOT with very little. 
The model DNA and brains have is modeling patterns. The universe has patterns 
because its laws of physics are few. Structures like DNA and brains and other 
mechanisms exploit this and model the world so that they can predict or 
successfully reproduce or maintain their own form. So because of patterns, 
organisms evolve into getting better at being "immortal".

Too large planets become suns/stars because of too much context in the core. 
The bigger your DNA or brain is the exponentially more it can model. Data 
relationships are combinational. So, bigger systems can evolve faster and 
survive much longer, maybe even pass the probability at some point, assuming 
our universe doesn't die of Heat Death.

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Re: [agi] Re: Pre-Release: Building On GPT-2's Successors "Blender" and "PPLM"

[doddy]

maybe you could incorpoate this into a replika chatbot.
it would be so cool.

On Sat, Jun 20, 2020 at 5:56 PM  wrote:

> Wrote something sweet today so will share it:
>
> The brain loves to collect lots of data (sight-see) because more data
> allows it to solve future problems better.
>
> Dogs love new toys (new data) because it let's them explore new problems.
> New data is more data.
>
> Talking about exploring, exploiting is when you work all day in some
> domain you love (ex. AI) because other new data is not actually so useful.
> We evolve this filter/ our goals, we start off focusing on food and then
> move attention over to cash then to jobs if they have similar contexts. The
> brain makes "checkpoints" or filters where to collect new data from in the
> manifold space. Then explores there. Blender and PPLM both do this (they
> don't evolve it though)
>
> As for your questions, browsing Instagram with color turned off feels
> worse because of missing data. Or perhaps you want to look at food directly
> and don't need data, but the same problem remains that you are not seeing
> what you await/ forecast to see because you lack sufficient data. The brain
> always wants to see a future.
>
> If you play a game, the visuals may make it more relatable to understand
> the knowledge.
>
> And when treats are paired with other domains, you can make the agent "get
> into" that domain.
> *Artificial General Intelligence List *
> / AGI / see discussions  +
> participants  + delivery
> options  Permalink
> 
>

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