If you don't give DALL-E the Text/Image Editor Motors and the Goal Learner, it 
won't be AGI at all, it won't change its silly little dream it spit out which 
has errors in it.

On Monday, October 18, 2021, at 7:37 PM, Matt Mahoney wrote:
> As another example, nausea is not a general purpose negative signal, but 
> rather has the effect of reducing your appetite for foods you ate recently. 
> Evolution is not a general purpose learner either, which is why we don't have 
> wheels.
> 
If you ate some bad french fries and got sick or didn't like the taste, your 
brain would not know the image of them before entering the mouth is the cause 
or is the laptop you seen the cause, so it would associate ALL those recent 
images to the pain signal. The only way to associate them more is for you to 
repeat the image of the fries in your head, to artificially target in on the 
fries and give them a bad reward, to change their predicted probability for the 
future. So you need to make a bad context make you stay focused on searching 
for the cause, and repeating it. So to do this you need some rewarded memories 
like search and repeat X, linked to other nodes.

On Monday, October 18, 2021, at 7:37 PM, Matt Mahoney wrote:
> If it were, your desire to use drugs would not depend on having used them 
> previously.
Over many and many and many uses, and constant repeating of the mission, you 
can keep it strong that AGI is your goal, so that even after seeing a book of 
an amount of words, you still say AGI after all that fashion articles you read. 
IOW, it keeps you on topic of your job no matter the topic, even if you were 
forced not to think about it for 10 days. This isn't recency, it is reward, it 
makes things even more likely to be predicted than "having seen a cat and hence 
predicting may see a cat again".

Giving words in GPT reward would solve a myriad of problems, like repeating X 
or learning new goals or keeping on the job even if shown 1 million words on 
fashion design.
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Artificial General Intelligence List: AGI
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