Comment by max_ | Hacker News Reader

Comment by max_ | Hacker News Reader

Here is my list of areas I would like to work on if I attain the financial security.

I consider these low hanging fruit that no one is looking at.

- Fundamental AI research. (Everyone currently has a tunnel vision on deep learning, there is very little fundamental research focusing on new models that might be less data intensive, and less computationally expensive than deep learning)

- TLA+ For high level description of systems. Both hardware, software & physical phenomena. The creation of relevant educational material.

- An Iversonian language designed for mass adoption. (This will be needed to facilitate the modeling of complex systems. Imperative languages and mathematics have are not sufficient)

- Smart Contract powdered CFDs. (Contracts for difference that allow people outside the US to speculate on US/Global Equities)

- A security focussed OS, Smartphone, Laptop & Hardware Wallet that people who care about security can truly trust.

- Complex Systems. The field is so wide and so exciting. Very few complexity theorists exist. And what I like about it is that alot of the concepts can be practically applied in the real world. This is how Science is going to be done in the 21st century.

If you would like to talk further about these, feel free to send me an email (in bio)

Do you have recommendations on good semi-advanced textbooks for fundamental AI research? I agree with you about this space... I would love to spend more time in it, even if it's just an hour or two per day, but nearly all the content out there is about deep neural networks and transformers.

I also have a sneaking suspicion this is what John Carmack is exploring.

The best books I would recommend are;

— The Master Algorithm by Pedro Domingos

— The Book of Why by Judea Pearl

— What Computers Still Can't Do by Hubert L. Dreyfus

— Society of Mind & The Emotion Machine by Marvin Minsky

— The Feeling Of What Happens by Antonio Damasio

— Language & Mind by Noam Chomsky

— A great mooc is also, the "Learning From Data" Telecourse from Caltech https://work.caltech.edu/telecourse

Why do you think these books are interesting?

The authors are discussing topics I regard as important that very few people are working on.

What do you mean by fundamental AI research? What kind of computational model?

What are some practical applications of complex systems?

> What do you mean by fundamental AI research?

Coming up with new/original models that solve the same exact problems that people are trying to solve with neural networks (computer vision, language translation, image generation etc) hopefully that are better performing & cheaper computationally.

> What kind of computational model?

I think answering that question would be what the researcher in this field is trying todo. I think a place to start would be exploring abandoned AI strategies like Genetics Algorithms & Markov Logic

>What are some practical applications of complex systems?

- Modeling Financial Markets [1]

- Drug discovery via Molecular Dynamics Simulations [2]

- Urban Planning [3]

- Modeling Epidemics [4]

- Cosmology

- Computer Graphics

- Much more ....

[1]: https://sites.santafe.edu/~wbarthur/elfarol.htm

[2]: https://youtu.be/PGqCeSjNuTY?si=uNP8o6DW1cSeAjo-

[3]: http://traffic.phys.cs.is.nagoya-u.ac.jp/~mstf/index_e.html

[4]: https://en.m.wikipedia.org/wiki/Yaneer_Bar-Yam

If interested, subscribe to these podcasts.

1: Simplifying Complexity: https://pca.st/podcast/1c42ee40-3735-013b-efb2-0acc26574db2

2: Complexity: https://pca.st/podcast/87eef2d0-cd12-0137-1e17-0acc26574db2

What about you? Are you doing anything related to these fields? Why do you need the money to do work related to this?

> What about you? Are you doing anything related to these fields?

Yes. I have some ideas I would like to explore (currently premature speculation & not implemented or tested comprehensively) for;

1. Computationally efficient AI models for image classification (has nothing todo with neural networks). I believe the model also be generalized to other problems like regression problems Or generating music, art, text and even language translation. — But image classification is the basis of my research.

2. Some financial modeling techniques based on ideas in 1.

3. Thinking on how to build a good Iversonian language for mass adoption. (I have already thought of some important components must be built out)

> Why do you need the money to do work related to this?

It is very difficult to think about technical problems when you have to also concurrently think about financial problems (I am unemployed at the moment).

I want to create a "set-up" where I can almost exclusively think about these problems for a good amount of time without having to worry about my basic needs.

But I don't need millions. $150k can take me for at least a decade where I live.

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