Dossier

Natural Neural Networks | Alex Fedosov | TEDxDoverSherbornHighSchool Live

This presentation suggests that the foundational principles governing human intelligence may be reducible to simple combinations of elements governed by basic rules, citing slime mold research as evidence for this concept. The speaker proposes this principle can be used to advance Artificial Intelligence, a technology rapidly expanding following the emergence of tools like ChatGPT. The speaker urges the audience to continue asking foundational questions to help advance this research.

## Theses & Positions
- Human intelligence is an unsolved mystery despite millions of connected neurons.
- The functionality of complex systems, like the Intel Sky CPU or the brain, may be governed by a simple, underlying foundational principle.
- Slime mold (*Physarum*) demonstrates an ability to solve exponentially hard mathematical problems (like the traveling salesman problem) in linear time.
- This simple principle, when applied to basic elements and simple rules, might explain the computational ability of *Physarum* and, potentially, all types of intelligence.
- Artificial Intelligence (AI) is a profoundly powerful technology, applicable across all domains, and requires public engagement (asking questions) to advance.

## Concepts & Definitions
- **Human intelligence** — The complex phenomenon of the brain's orchestration using millions of neurons.
- **Traveling salesman problem** — A mathematical problem that is exponentially hard but which *Physarum* can solve in linear time.
- **Foundational principle** — A simple underlying concept or set of rules that governs the mechanics of highly complex systems (e.g., the Intel Sky CPU or the brain).
- **Artificial Intelligence (AI)** — A technology leveraging principles discovered to enhance computer capabilities.
- **Linear time** — Computational efficiency demonstrated by *Physarum* in solving complex problems.

## Mechanisms & Processes
- **Analogy of the CPU:** The Intel Sky CPU, a sophisticated device with millions of elements and billions of wires, operates based on a foundational principle first identified by Alan Turing.
- ***Physarum* computation:** The slime mold solves the traveling salesman problem by combining basic elements and applying simple rules, achieving linear time efficiency.
- **AI Enhancement:** The proposed process involves identifying the fundamental principle governing a complex system (like the brain) and recreating that simple mechanism in computational models to build more powerful AI.
- **AI Application:** Current AI technology is broadly applicable through its integration into voice recognition (Alexa), image recognition (cell phones), and generative text (ChatGPT).

## Named Entities
- **Alan Turing** — Individual who identified the foundational principle behind computer function.
- **Intel Sky CPU** — Example of a sophisticated computing device.
- ***Physarum*** — Slime mold used as a biological model for computational efficiency.
- **ChatGPT** — Specific generative AI tool mentioned as evidence of AI's recent explosion.
- **Alexa** — Voice assistant example demonstrating AI applicability.

## Numbers & Data
- Connected elements in the brain: **millions**.
- Wires in the CPU: **billions**.
- Age of Turing's discovery: **less than 100 years ago**.

## Examples & Cases
- **CPU Analogy:** The Intel Sky CPU is cited as a complex device functioning from a simple, foundational principle derived from Alan Turing's work.
- ***Physarum* case:** This organism solves the traveling salesman problem, which is exponentially hard, in linear time.
- **Modern AI examples:**
    - Using ChatGPT to write a face (or writing).
    - Voice recognition (talking to Alexa).
    - Image recognition (in cell phones).

## Tools, Tech & Products
- **Intel Sky CPU** — Sophisticated computing device used for analogy.
- **ChatGPT** — Generative AI tool.
- **Alexa** — Voice recognition assistant.
- **Cell phones** — Device containing image recognition technology.

## References Cited
- **Alan Turing** — Source of the foundational principle for computing.
- ***Physarum* research** — Research detailing the slime mold's ability to solve complex math problems.

## Counterarguments & Caveats
- The speaker admits skepticism regarding the assumed hierarchy of intelligence, questioning if *"a bird should be smarter than this mold"* or *"humans should be smarter than a cat."*

## Methodology
- Analogical reasoning: Using the functioning of the Intel Sky CPU and Alan Turing's principles as an analogy for potential brain function.
- Scientific evidence review: Utilizing documented research on *Physarum*'s efficiency in solving the traveling salesman problem.
- Hypothesis generation: Proposing that the simple principle governing *Physarum* might underpin all levels of intelligence.

## Conclusions & Recommendations
- The goal is to identify the foundational principle behind the brain to advance AI.
- The audience must continue to ask simple, probing questions to help the research move forward.
- The resulting AI aims to be *"more powerful than our intelligence."*

## Implications & Consequences
- Advances in AI, driven by understanding fundamental biological or computational principles, are expected to revolutionize nearly every domain.
- The ability to model complex biology through simple rules represents a major frontier in science.

## Verbatim Moments
- *"this is the biggest question humans ever ask themselves and they still don't know the answer"*
- *"I'm not going to dive into details you can take a look at this research"*
- *"it can solve this problem in a linear time isn't this amazing"*
- *"if you combine a few basic element together and apply a few Simple Rules it can explain how this pharum can achieve this level of computational ability"*
- *"we need you to keep asking these simple questions"*