Brian Roemmele Profile picture
Jan 19 • 11 tweets • 4 min read • Read on X
Does TikTok Cause Cognitive Decline? A Critical Examination of Research.

A THREAD 🧵🪡

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In recent years, the rise of short-form content platforms like TikTok has prompted discussions about their potential impact on cognitive health.

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A widely debated topic is whether the platform’s fast-paced, hyper personalized AI algorithm-driven content consumption contributes to what some users term “brain rot”—a colloquial term for reduced attention span, memory retention, or critical thinking skills.

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A University of Michigan study published in Science Advances examined the effects of “content switching” on brain function, finding that frequent transitions between short, unrelated content streams can disrupt sustained attention and impair memory consolidation (Mark et al., 2021).

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This aligns with the way TikTok operates, as its algorithm promotes constant scrolling through highly stimulating, brief videos designed to capture attention in seconds. This “dopamine-driven loop” conditions the brain to crave instant gratification, which can, over time, diminish the ability to focus on more complex or slower-paced tasks.

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Tesearch from the University of Copenhagen highlights the relationship between screen time and cognitive control. The study found that excessive exposure to algorithmically curated content reduces the brain’s ability to self-regulate engagement and prioritize tasks (Larsen et al., 2020). Platforms like TikTok amplify this effect, as their “For You” feed continuously feeds tailored content, making it difficult for users to disengage voluntarily.

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This phenomenon, known as “algorithmic compulsion,” mirrors findings in behavioral addiction studies and raises concerns about long-term cognitive consequences.

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A 2020 study from Stanford University explored the impact of fragmented information consumption on neuroplasticity. It revealed that exposure to fast-paced, disjointed content inhibits the brain’s ability to form long-term neural connections (Chen et al., 2020). This has significant implications for young users of platforms like TikTok, whose brains are still developing and are more susceptible to environmental influences.

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The psychological effects of TikTok usage warrant scrutiny. A meta-analysis published in Psychological Science found that social media platforms leveraging highly visual and rapid content can increase symptoms of anxiety and depression, particularly among adolescents (Huang, 2021). This is partly due to the “comparison culture” perpetuated by such platforms, as well as the overstimulation associated with constant digital engagement.

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TikTok and similar platforms provide entertainment and creative outlets, the growing body of research suggests they may pose significant risks to cognitive health.

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The addictive design, rapid content delivery, and dopamine-driven feedback loops characteristic of these platforms align with patterns observed in studies of cognitive decline and behavioral addiction.

Given the potential long-term impacts, especially on younger audiences, it is critical to approach these platforms with caution.

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At some point it will be clear the hyper-tuned AI driven content delivery systems like TikTok may cause permanent damage to the attention span of young developing brains as well as the brains of older folks.

References
•Mark, K., et al. (2021). “Cognitive Effects of Content Switching.” Science Advances.
•Larsen, J., et al. (2020). “Algorithmic Compulsion and Cognitive Control.” Journal of Behavioral Science.
•Chen, Y., et al. (2020). “Neuroplasticity and Digital Fragmentation.” Neuropsychology Today.
•Huang, C. (2021). “Social Media and Adolescent Mental Health.” Psychological Science.

END (I am told this is the way folks like postings on X, I don’t but here ya go, the 🧵🪡 game)Image

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Jan 19
A bullet vs A Prince Rupert's Drop.

A THREAD 🧵

1/
The Fascinating Mechanics of Prince Rupert’s Drop

Prince Rupert’s Drop is a remarkable demonstration of material science and physics, showcasing the fascinating interplay of stress, structure, and energy. This seemingly simple glass object—a teardrop-shaped piece of solidified glass—holds a secret: it combines extreme strength with profound fragility, depending on where and how it’s tested.

What is Prince Rupert’s Drop?

Prince Rupert’s Drop is created by dropping molten glass into cold water. The rapid cooling causes the outer layer of the glass to solidify almost instantaneously, while the interior cools more slowly. This process induces significant internal stresses in the glass, resulting in the drop’s unique mechanical properties. The structure consists of two main parts:
1.The Bulb: The rounded, thicker end of the drop is extraordinarily strong.
2.The Tail: The thin, extended end of the drop is incredibly fragile.

Why Is the Bulb So Strong?

The strength of the bulb arises from compressive stress. During formation, the outer surface of the glass cools and hardens first, trapping the inner material, which continues to contract as it cools. This creates a state where the outer layer is under compression and the inner layer is under tension.

Compressive stress significantly enhances the material’s ability to resist fracture. In the case of Prince Rupert’s Drop, the compressive strength of the glass bulb is so high that it can withstand impacts, including being struck with a hammer, without breaking.

The Fragility of the Tail

While the bulb is incredibly strong, the thin tail of the drop is under extreme tensile stress. Glass is inherently much weaker in tension than in compression. A slight nick or disturbance to the tail acts as a stress concentrator, causing the entire structure to rapidly release its stored energy. This results in the drop shattering into countless tiny fragments almost instantly.

The phenomenon is explained by the propagation of cracks. Any disturbance to the tail initiates a stress wave that travels through the drop at speeds of up to 1,450 meters per second (faster than the speed of sound in glass), disintegrating it completely.

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Applications and Relevance

Prince Rupert’s Drop serves as a dramatic illustration of material properties like stress distribution, energy storage, and fracture mechanics. It has applications in:
•Material Science Education: A vivid way to teach the principles of stress and fracture mechanics.
•Engineering: Inspiring the design of materials and structures with tailored stress distributions to enhance strength and durability.
•Shock-Absorbing Materials: Lessons from the compressive stress distribution in the bulb could inform the development of robust, impact-resistant materials.

Experimental Studies

Modern studies on Prince Rupert’s Drop leverage high-speed photography and advanced computational models to analyze the stress distribution and fracture dynamics. Key findings include:
•The outer compressive layer is only microns thick, but it significantly contributes to the drop’s strength.
•The release of stored energy during fracture creates a cascading effect, making the disintegration nearly instantaneous.

Prince Rupert’s Drop is a perfect example of how materials can exhibit seemingly contradictory properties of strength and fragility. Its study bridges art, physics, and engineering, offering insights into stress management and fracture behavior that can be applied to modern technological advancements. Despite its simplicity, this 17th-century curiosity continues to captivate scientists and engineers alike, proving that even the smallest objects can reveal profound scientific truths.Image
Read 4 tweets
Sep 25, 2024
This is the story of how Edward Bernays with the help of his uncle Sigmund Freud changed your mind in ways that you may never discover.

In this 4 part series The Century of the Self you will begin to see how we live in the Bernays world.

Part 1:

Edward Bernays.

Part 2:

Edward Bernays.

Part 3:
Read 4 tweets
Sep 25, 2024
This is one of the most important movies you can watch at this very moment.

Take the hour and learn about the Edward Bernays world you and I live in.

From a VHS tape for you to see today.

Be ready to understand how you and I have been played.
This is a continuation of the most important movies you can watch at this very moment.

Take the hour and learn about the Edward Bernays world you and I live in.

From a VHS tape for you to see today.

Be ready to understand how you and I have been played.
This is a part 3 of the most important movies you can watch at this very moment.

Take the hour and learn about the Edward Bernays world you and I live in.

From a VHS tape for you to see today.

Be ready to understand how you and I have been played.
Read 4 tweets
Aug 27, 2024
With just a microcurrent channel of 10 Hz and a second microcurrent channel at 40 Hz, just about all pain can be eliminated in most people in 15 minutes.

It has been known for decades and I have seen it work 100s of times with folks that had no investment mentality in outcome. Image
The pathway explained simply:

-40Hz -Gamma rhythm:
This particular treatment is proven to increase dopamine and serotonin. It can also improve how the mitochondria in your cells function, making an individual more energetic and enhancing mood. This is because the mitochondria of the cells produce energy.

'Data demonstrated that 40Hz light flicker significantly increased the overall brain oscillation power, particularly in the occipital areas on both sides of the brain' Y.Zhang et Al.

-10Hz -Alpha rhythm:
This frequency is similar to the alpha neural brain waves. Alpha waves are linked to the alpha state of the brain, which promotes learning, mental coordination, and mindfulness. It can induce feelings of calm, increase creativity, and enhance your ability to absorb information.

'Creativity has a brain wave signature as well: alpha waves pulsing out of the brain's right hemisphere' Steven Kotler.
As one often finds with the lost Reddit and Snooope basement dwellers that slither out via Communist Notes they are silly wrong about their guesses and even wrong about the reality of what they guess. And folks ask me why they don’t hear about this stuff. Find these fools and ask them why.
Read 4 tweets
Jan 6, 2024
“A Second brain Found in the Heart”

We think we know where memory is stored.

We think we have one brain.

Over 20 years ago I spent time with DR. PAUL PEARSALL, Ph. D. as he studied heart transplant recipients and transferred memories. It changed me and this will change you and what we think is AI.
What I learned from Dr. Pearsall and Dr. Swartz about learning and memory has not been known or used in the current AI path. When some of these ideas are applied, we will be an order of magnitude closer to what some call AGI. This is some of the things I work on in my garage.
If you want to begin where I did over 10 years ago to understand the AI that is ahead and perhaps help build it, start with this book. I will also share my latest research soon on new ways to understand AI learning.

Link:

amzn.to/3NRjrKa
Read 4 tweets
Dec 28, 2023
I have done extensive work studying The Pile— an open source dataset for training AI foundational models.

I have been able to “replicate” “news stories” that this dataset NEVER saw—almost verbatim.

I have a theory how and why this happens and it changes any lawsuit and claims. Image
The fundamental issue with how Large Language Models (LLMs) work is a significant part of outputs are “hallucinations” with bookends of “facts”.

This is precisely how the human brain works. You have fragments of “facts” and you back fill with filler words.

This fact is lost on most AI researchers.

The issues arise when “sources” are hallucinated. In humans many if not all of us use “higher authority” biases to reenforce the weighting of an argument: eg. “And I saw this in The New York Times too”.

LLMs by their fine tuning have weights given to certain types of data it sees. Some of these weights use normal (although not perfect) “sources” and this alone creates a bias to “use” them as a hallucinated source and attribute the outputs to that weighted source.

Thus when “replicating” a “story” that The Pile never saw, it is the prompt that guides the LLM to back fill into what appears to be a legitimate “fact” wrapped as a hallucinated sources and sometimes details.

Thus the fundamental issue one can try to make in this situation is the attribution to a LLM output is the primary issue here. If the source was weighted in the fine tuning it is natural for the LLM to “see” value in presenting (with the correct prompt) these sources as “the source”.

Thusly the real issue one may have is if you are the named “source” you can make that claim of reputation damage by these hallucinations.

There is much more to this theory that I will hold back and it may be much larger. I will speak to anyone attorneys (under the right circumstance) to demonstrate how ANY news story could be nearly verbatim “replicated” with proof the LLM could not have and never saw the “original” news story, yet attribute a news source and may even attempt to replicate a URL.

I am in continual research with The Pile and other datasets as well as LLMs and other AI and are testing new insights.

Thus it is important to take time and understand that when it comes to LLMs what you think you know may not be what you think.Image
Like a misinformed parent of an exceptionally brilliant savant child, AI scientists are embarrassed by “hallucinations” of LLMs. They of course want facts. However they have not studied even the most educated and “factual” humans. What do humans do? They fabricate some “light” facts and fill in with statistically appropriate words to bolster the non fabricated facts. This is how all humans work as they are not memorex tape recordings. Now can someone memorize word-for-word some text, especially if their job or lives are counting on it (eg. doctors) of course. But humans, even the most accurate ones, usually only recall the material concepts and “simulate” the surroundings.

Anyone that has spent time with multiple witnesses recalling an event, like in court rooms will admit that the only thing they hope for is a single alignment of a “fact” the rest they know (the back fill of words) are irrelevant.

Thus the very foundation of why LLMs are useful is that they do hallucinate, and must hallucinate, just like us humans that of course LLMs are built on, via what? Our language and the way we use it, in stories.

This will never change and it is actually a feature and not the embarrassment AI scientists think it is.
Read 7 tweets

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