Does artificial anthropocentric intelligence lead to superintelligence?

When I use the term Artificial General Intelligence, my meaning of 'General' comes from the psychology definition of the G-factor that is tested in general intelligence tests.
It is an anthropocentric measure. The question that hasn't been explored in depth is whether a "human-complete" synthetic intelligence leads to a superintelligence. The prevailing assumption is that this expected.
I am going to argue that this assumption may not be true.
The assumption that goes into AGI automatically exploding into a superintelligence is driven by the bias that human intelligence is perceived at the pinnacle of all intelligence.
Humans, like all other living things with brains, have their cognition forged by their umwelt and their environment. Our cognition is the way it is because it is what is suited for the niche we evolved into.
We have not evolved into high speed symbolic and math processors because in most of the 200,000 years of human existence, this skill wasn't that important. Computers are certainly better than us in many tasks of a cognitive nature.
Instead of evolving to achieve a capability, humans have the ability to create tools to compensate for a lack of ability. We have invented computers because we are very error-prone and slow computers.
A synthetic general intelligence is a kind of automation that is able to understand our intentions. It is also something that is autonomous and understands the social context that it is in. It is not something that computes fast, we already have that in computers.
These are cognitive skills that are useful for humans, but they aren't necessarily the same skills that might be needed for solving all kinds of complex problems.
As an illustration, AlphaZero is better than its predecessor AlphaGo because it trained from scratch without human gameplay as its training set. It plays in a way that is not encumbered with the bias of human play.
Human cognition is loaded with a lot of excess baggage that evolved over eons. A human-complete synthetic would also share these biases. After all, to understand a human one has to be in a framework of being a human. Human biases and all.
Like AlphaGo, these biases may hinder performance. In Star Wars, there's this droid C3PO that is meant is billed as a protocol droid for 'human cyborg relations'. That is what a synthetic AGI will likely be.
That bridge between humans and yet another kind of specialized intelligence.
Therefore, for a superintelligence, an AGI is more like a module that's required for relating to humans. It's an appendage and not core functionality.
But... this can't be true! Humans are the pinnacle of intelligent life, our cognition cannot be something meant only for the periphery. I'll say the objection here is a consequence of our all too human anthropocentric bias.
@threadreaderapp unroll

More from Carlos E. Perez

Programming in abstractions is very different from a system that is capable of its own 'abstracting'. But what does abstracting mean? We only know of its inputs and outputs, but we fail to describe its inner workings.

I like this short video about living in space. This is because it makes you realize the gaps in your knowledge when you turn off something (i.e. gravity) that you have always assumed to be present.


Perhaps we can understand 'abstracting' better if we turn of many assumptions that we unconsciously carry around. Perhaps we need to get rid of the excess baggage that is confusing our thinking about abstraction.

Turning off gravity and living in space is a perfect analogy. We somehow have to turn off a cognitive process to understand the meaning of abstraction.

The first step to divorce ourselves from our habitual cognitive processes is to realize the pervasiveness of 'noun-thinking' .

More from Tech

Recently, the @CNIL issued a decision regarding the GDPR compliance of an unknown French adtech company named "Vectaury". It may seem like small fry, but the decision has potential wide-ranging impacts for Google, the IAB framework, and today's adtech. It's thread time! 👇

It's all in French, but if you're up for it you can read:
• Their blog post (lacks the most interesting details):
https://t.co/PHkDcOT1hy
• Their high-level legal decision: https://t.co/hwpiEvjodt
• The full notification: https://t.co/QQB7rfynha

I've read it so you needn't!

Vectaury was collecting geolocation data in order to create profiles (eg. people who often go to this or that type of shop) so as to power ad targeting. They operate through embedded SDKs and ad bidding, making them invisible to users.

The @CNIL notes that profiling based off of geolocation presents particular risks since it reveals people's movements and habits. As risky, the processing requires consent — this will be the heart of their assessment.

Interesting point: they justify the decision in part because of how many people COULD be targeted in this way (rather than how many have — though they note that too). Because it's on a phone, and many have phones, it is considered large-scale processing no matter what.

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@franciscodeasis https://t.co/OuQaBRFPu7
Unfortunately the "This work includes the identification of viral sequences in bat samples, and has resulted in the isolation of three bat SARS-related coronaviruses that are now used as reagents to test therapeutics and vaccines." were BEFORE the


chimeric infectious clone grants were there.https://t.co/DAArwFkz6v is in 2017, Rs4231.
https://t.co/UgXygDjYbW is in 2016, RsSHC014 and RsWIV16.
https://t.co/krO69CsJ94 is in 2013, RsWIV1. notice that this is before the beginning of the project

starting in 2016. Also remember that they told about only 3 isolates/live viruses. RsSHC014 is a live infectious clone that is just as alive as those other "Isolates".

P.D. somehow is able to use funds that he have yet recieved yet, and send results and sequences from late 2019 back in time into 2015,2013 and 2016!

https://t.co/4wC7k1Lh54 Ref 3: Why ALL your pangolin samples were PCR negative? to avoid deep sequencing and accidentally reveal Paguma Larvata and Oryctolagus Cuniculus?
Ivor Cummins has been wrong (or lying) almost entirely throughout this pandemic and got paid handsomly for it.

He has been wrong (or lying) so often that it will be nearly impossible for me to track every grift, lie, deceit, manipulation he has pulled. I will use...


... other sources who have been trying to shine on light on this grifter (as I have tried to do, time and again:


Example #1: "Still not seeing Sweden signal versus Denmark really"... There it was (Images attached).
19 to 80 is an over 300% difference.

Tweet: https://t.co/36FnYnsRT9


Example #2 - "Yes, I'm comparing the Noridcs / No, you cannot compare the Nordics."

I wonder why...

Tweets: https://t.co/XLfoX4rpck / https://t.co/vjE1ctLU5x


Example #3 - "I'm only looking at what makes the data fit in my favour" a.k.a moving the goalposts.

Tweets: https://t.co/vcDpTu3qyj / https://t.co/CA3N6hC2Lq