Likelihood of discontinuous progress around the development of AGI

* Latency/performance

* Scaling

* Data flow Observation trials

* Progressively difficult and open ended order following

* Language/Communication construction

A whole host of others...

> (2) How do you know it's self-aware (don't just say because you designed it that way)?

Not sure what to say beyond this nor do I think I should. I will say that centers on theory of what exactly that means which I cultivated full-time over the better part of a year. I can boot "identical" systems and get completely different behavior if I so choose in one of my models. Same outcome. Different behavior/execution getting there. And yes, this is based on new domain theories centers on mathematics/information theory.

> (3) How is this an improvement over SHRDLU (which also exhibited fairly complex behavior and "understanding" within a simulated environment)?

I've never heard of SHRDLU. I just parsed the wikipedia page for it. This is essentially environmental modeling/interaction based on a compiled language model. I scanned forward to the obvious limitation of such systems : "This led other AI researchers to excessive optimism which was soon lost when later systems attempted to deal with situations with a more realistic level of ambiguity and complexity."

Essentially, there is no intelligence just programatic modeling. It of course falls apart when you scale the environment and abstraction level. I have no such limitations as i've centered on intelligence. Internal world Modeling/reasoning is the approach the industry is taking to try to extend Weak AI. I am not approaching the problem in this manner. I spent a considerable amount of time focusing on information theory and have constructed new and novel approaches. The industry desiring to rush to things to market/showcase and reflecting on what they are familiar with instead focus the next leg of Weak AI on language modeling. This is a shortcut that will run into the same problems : SHRDLU. There is no shortcut to the hard problem. You either tackle it head on and first and foremost or you're going to get lost in an abstraction of it.

> (4) Did you actually "invalidate a host of theories, [and] create new mathematics, new algorithms, and new theories"? Which ones?

Yes. The research phase of my work started approximately 4 years ago [full time]. It centered on : general biology, development biology, neuro-biology, neuro-chemistry, information theory, new branches of mathematics, new methodologies for computation scaling, new branches of philosophy, new branches related to the theory of mind, etc. I authored code only when I felt I had fundamental aspects that needed to be proofed. The majority of my work centers on new foundations. I proofed a number of components and began converging them into an over-all architecture in recent years. There were revisions to various theories/foundations as the pieces came together. There were points where I felt, once everything came together that I hadn't achieved what I set out to. I buckled down a number of times under a [one last attempt] mindset and eventually it came together. It came together in a fashion in which I can see its design across a number of things. I took a breather. I did some reading on social impact/considerations as I've done throughout all my work and then I centered on following it through. I have designs for yet to be produced hardware. I have a complete design for software. I now mainly author code on a day to day basis. It is operational and I am steadily implementing my research. Why no publications/white papers? I maintain a graduate degree and decided not to go through with a PhD for a number of reasons. I have observed what occurs in Academia in relation to politics/attribution.. I have noted a number of prominent individuals attribute other's work to themselves with only a footnote mention to the original source of ideation. I am opposed to openly disclosing highly powerful understanding and valuable IP of this nature. I have spent time observing the world and I deem it reckless doing so with something as powerful/open ended as AGI. So, as far as you're concerned, I'm a nobody w/o proof. I'll provide proof in due time so as to solicit securitization of my work. However, I don't aim to disclose significant details about how it was achieved. I'll openly work with reasoned council so as to decide what should be done in such a capacity...

And no, i'm not a crackpot =P. You're more than welcome to look me up on Linkedin.

> Did you actually "invalidate a host of theories, [and] create new mathematics, new algorithms, and new theories"? Which ones? Yes. Which ones? ... As I am of such a mind, I know if I begin detailing this, someone with adequate intelligence and of similar mind can begin piecing together some of more deeper aspects of my work. So, I respectfully won't disclose details beyond new foundations in information theory.

Technology keeps giving people nice gizmos and plenty of flashy entertainment, but it's mostly self-serving, technology begetting yet more technology without clear purpose, as evidenced by stupid shit like Bluetooth toothbrushes (https://www.lookfantastic.de/oral-b-pro4000-x-action-toothbr...) and the insane number of cryptocurrency Ponzi schemes. Toothbrushes that need a freaking network connection and bits worth absolutely nothing. The crescendo of our civilization! Well done. If there's an overmind, it's feeding us shit.

(Sorry again, I'm cynical.)

You'll get a capability demo instead. It wont fail to impress. Definitions and designs are for another day.

> I think you're looking for an elegant solution right out of the box - the "one algorithm to rule them all" and I don't think that is feasible from an engineering perspective if for no other reason than no singular system has anything near the data collection nodes needed for specificity on the range of tasks that would suffice any definition of "General."

What else is one looking for who claims they're trying to solve the Intelligence problem? Marketing an optimization algorithm as the next coming might make you rich in the short term but it doesn't bring you closer to the truth. It does in fact take your further away. So, 'the elegant solution'/'the hard problem' was the only thing I set out to tackle some years ago. Otherwise, i'd have been wasting my time/not being truthful with myself. It's feasible from a research and engineering perspective. Few commit themselves to the TRUE task and the likelihood of failure. I was ok with that it and stuck with it. I self-funded my work. It mainly centered on research. Thus, there were no exits. I either saw it through and achieve it or I didn't.

As far as :

> no singular system has anything near the data collection nodes needed for specificity on the range of tasks that would suffice any definition of "General."

Sure it does. Look in the mirror and log onto the web. I've let the misses play online for a bit now ;).

> Having raised three other humans and observing them while building DL systems myself for a living, I feel more strongly everyday that human intelligence is a hodgepodge of "weak AI" systems glued together with an exceptionally efficient executive function. AGI is as much a community building and humanity wide input collection challenge as it is a math problem. We need to think about it that way.

My graduate work centered on the underpinnings of DL (Distributed Optimization). After years of industry experience, I searched for a new challenge. After some open ended research in physics/photonics, I came to Artificial Intelligence. I scratched my head for 3-4 months as to why (Distributed Optimization) was being called Artificial Intelligence. I took the broad lot of it and threw it in the trash as prominent figures are only now stating : https://www.axios.com/artificial-intelligence-pioneer-says-w...

You're thinking about AGI as if its a chain of DL systems because that's what's made you money and where your work has centered on over the years. I took the broad majority and trashed it as Hinton now indicated others should do and started from scratch. I have no such bias. However, as my graduate work centered on the fundamental underpinnings of statistical optimization / distributed optimization, I know exactly what its limits are.

The human race is far more than a hodgepodge of optimization algos w/ an executive function (whatever that might be given the clearly varied forms of it).

That doesn't match my memory at all. The reaction then was dominated by the likes of "this is super-narrow, not real intelligence". (The 80s did have a lot of hyped expectations of related tech, it's true, but that was around 10-15 years earlier.)