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.
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The 12 most important pieces of information and concepts I wish I knew about equity, as a software engineer.

A thread.

1. Equity is something Big Tech and high-growth companies award to software engineers at all levels. The more senior you are, the bigger the ratio can be:


2. Vesting, cliffs, refreshers, and sign-on clawbacks.

If you get awarded equity, you'll want to understand vesting and cliffs. A 1-year cliff is pretty common in most places that award equity.

Read more in this blog post I wrote:
https://t.co/WxQ9pQh2mY


3. Stock options / ESOPs.

The most common form of equity compensation at early-stage startups that are high-growth.

And there are *so* many pitfalls you'll want to be aware of. You need to do your research on this: I can't do justice in a tweet.

https://t.co/cudLn3ngqi


4. RSUs (Restricted Stock Units)

A common form of equity compensation for publicly traded companies and Big Tech. One of the easier types of equity to understand: https://t.co/a5xU1H9IHP

5. Double-trigger RSUs. Typically RSUs for pre-IPO companies. I got these at Uber.


6. ESPP: a (typically) amazing employee perk at publicly traded companies. There's always risk, but this plan can typically offer good upsides.

7. Phantom shares. An interesting setup similar to RSUs... but you don't own stocks. Not frequent, but e.g. Adyen goes with this plan.

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कुंडली में 12 भाव होते हैं। कैसे ज्योतिष द्वारा रोग के आंकलन करते समय कुंडली के विभिन्न भावों से गणना करते हैं आज इस पर चर्चा करेंगे।
कुण्डली को कालपुरुष की संज्ञा देकर इसमें शरीर के अंगों को स्थापित कर उनसे रोग, रोगेश, रोग को बढ़ाने घटाने वाले ग्रह


रोग की स्थिति में उत्प्रेरक का कार्य करने वाले ग्रह, आयुर्वेदिक/ऐलोपैथी/होमियोपैथी में से कौन कारगर होगा इसका आँकलन, रक्त विकार, रक्त और आपरेशन की स्थिति, कौन सा आंतरिक या बाहरी अंग प्रभावित होगा इत्यादि गणना करने में कुंडली का प्रयोग किया जाता है।


मेडिकल ज्योतिष में आज के समय में Dr. K. S. Charak का नाम निर्विवाद रूप से प्रथम स्थान रखता है। उनकी लिखी कई पुस्तकें आज इस क्षेत्र में नए ज्योतिषों का मार्गदर्शन कर रही हैं।
प्रथम भाव -
इस भाव से हम व्यक्ति की रोगप्रतिरोधक क्षमता, सिर, मष्तिस्क का विचार करते हैं।


द्वितीय भाव-
दाहिना नेत्र, मुख, वाणी, नाक, गर्दन व गले के ऊपरी भाग का विचार होता है।
तृतीय भाव-
अस्थि, गला,कान, हाथ, कंधे व छाती के आंतरिक अंगों का शुरुआती भाग इत्यादि।

चतुर्थ भाव- छाती व इसके आंतरिक अंग, जातक की मानसिक स्थिति/प्रकृति, स्तन आदि की गणना की जाती है


पंचम भाव-
जातक की बुद्धि व उसकी तीव्रता,पीठ, पसलियां,पेट, हृदय की स्थिति आंकलन में प्रयोग होता है।

षष्ठ भाव-
रोग भाव कहा जाता है। कुंडली मे इसके तत्कालिक भाव स्वामी, कालपुरुष कुंडली के स्वामी, दृष्टि संबंध, रोगेश की स्थिति, रोगेश के नक्षत्र औऱ रोगेश व भाव की डिग्री इत्यादि।