shpace ship

try it out!!
you are butt tiny
your north star question
your idea galaxy
the divergence of your thinking journey

1. Who Is This For?

shpace ship is built for knowledge workers and students aged 16 to 35, anyone who regularly uses AI tools as part of their creative or intellectual process. Specifically: high school and university students writing essays and doing research, early-career professionals in creative fields like design, marketing, and strategy, and anyone who has noticed their ideas starting to feel hollow, repetitive, or indistinguishable from everyone else's.

What unites them isn't age, it's context. They live inside AI tools. ChatGPT, Copilot, Gemini are open in the background of everything they make. They are fluent in prompting but increasingly estranged from the feeling of having genuinely divergent thought (note, NOT original, but divergent, a new one).

2. What Can They Perceive Now That They Couldn't Before?

The Sense: Cognitive Divergence Awareness

Humans have far more than five senses. Proprioception tells you where your body is in space without looking. Interoception tells you what's happening inside your body, hunger, heart rate, tension. These are internal feedback systems that orient you in the world without conscious effort.

shpace ship introduces a new internal feedback system: awareness of your own cognitive divergence in real time.

This is the ability to perceive, as you think, whether your ideas are genuinely your own or whether they are clustering toward the AI-weighted average of all human thought. It is metacognitive proprioception, knowing where your mind is in thought-space, not just where your body is in physical space.

Why It Matters

The default workflow right now: encounter a problem, open ChatGPT, receive an answer, edit from there. The human enters as an editor, never as a generator. The seed thought, the hardest and most cognitively valuable part, is skipped entirely.

MIT research found that students who generated with AI could rarely remember the ideas they wrote about. And while generating, their brains didn't light up the way they did for students who started from their own idea. Furthermore, after the study, 83% of students using ChatGPT couldn't recall their own essays minutes after writing them, and 100% of those who thought they could were wrong. We live like zombies. It's becoming harder to feel the difference between an original idea and a well-disguised echo. We are losing our ideas and losing our sense of what divergent thinking even feels like.

But interestingly, in an extension of the same study, MIT found that students who seeded their own thinking first, then used AI, had HIGHER brain connectivity than students generating ideas completely on their own. AI can be a massive tool for creativity and for humans. But only if we seed the idea first.

That's why this matters. Visualizing cognitive divergence trains people to recognize echoes and to inject their own unique ideas and connections into creating with AI. Divergent thinking is the origin of every genuinely new idea. It is what separates a creative leap from a competent remix. And right now, most of us are skipping it without even knowing.

3. What Is the Target Wellness Goal or Behavioral Change?

Brain Exercise (Neuroplasticity)

Before GPS, London taxi drivers used more of their brain to navigate. They had physically larger spatial memory than average. This is the theory of neuroplasticity, where your brain physically changes as certain neural pathways are reinforced or discovered.

When those same taxi drivers switched to GPS, those connections stopped firing, and the gray matter in the brain shrank. Right now, by opening ChatGPT before we think, we are doing the same thing. The pathways we stop using, we lose. Our ability to think divergently is slowly deteriorating.

A 20-year study published this year found that people who regularly trained their brains in new, cognitively demanding ways had a 25% lower risk of developing Alzheimer's and other neurodegenerative diseases because of neuroplasticity. The brain that keeps forming new connections is the brain that stays resilient. shpace ship is brain exercise! Every new concept you wrestle with, every unexpected connection you make, every path you didn't expect to take, that's your brain building itself. New neural pathways forming and getting stronger.

The secondary behavioral change is creative confidence. Users develop a felt sense for when they are thinking originally versus echoing, a capacity that transfers beyond the tool into every context where they generate ideas. Users learn that the weird word, the wrong-sounding connection, the thing that seems irrelevant, is often where the genuinely new idea lives. That reframes the relationship with uncertainty from threat to mechanism.

4. How Does the Tool Work in Everyday Life?

Use Case 1: Kaitlyn, 17, Essay Assignment

Kaitlyn has an essay due: is social media good for teenagers? Her instinct is to open ChatGPT. Instead she opens shpace ship. She inputs her North Star question and starts her first galaxy. AI shows her the default path, the echo every student is already writing. She throws "ocean." Parallel, still an echo. She throws her favorite TV show. The path angles away. She follows it, branches off a node, throws "lullaby" because it connects to something she was just thinking about. The path rewires: lullaby, comfort, performance, audience, teenagers performing for approval, social media as a stage not a mirror. She writes that conclusion herself. It is hers. The idea is completely human-seeded and she exercised her brain to get there. And no other student in her class is writing it because no other student would have landed on the exact combo she did because it's so personal.

Use Case 2: Marcus, 28, Brand Strategist

Marcus is developing a campaign positioning for a new running shoe. He has used AI to generate thirty tagline directions. They all feel the same. He opens shpace ship, inputs his North Star: what makes someone choose to run when they don't have to? He throws words from his own life: his grandmother, the smell of rain, the city at 5am. AI builds unexpected paths. One connects his grandmother to stubbornness to daily ritual to identity to running as proof of self. He had never framed running shoes as identity preservation tools for people who refuse to age. That campaign doesn't exist yet. It came from his life, not from training data.

Use Case 3: Priya, 22, Graduate Student

Priya is stuck on her dissertation proposal, affordable housing policy. Every angle leads back to the same two papers everyone cites. She opens shpace ship, throws words from her own cultural background, words from her childhood neighborhood, a word her mother uses. One path connects community land trusts to intergenerational memory to cultural continuity. Her advisor tells her it's the most original framing she's seen on the topic in years. It came from words nobody else would have thrown, because nobody else has Priya's life.

5. How Do Users Manage the New Information?

The Galaxy Interface

Each session opens as a new galaxy. The North Star question anchors the center. As users throw out words, like related ideas or even just their random ones like their favorite sport or color, AI generates steps of related words that relate the word back to The North Star, created connected constellations. The less related the word, the further out it is on the shpace ship, creating paths that eventually trace back to the center.

Managing Information Overload

Users can manage the information as paths multiply by favoriting the ones they want to keep highlighted and letting others fade into the background. Timelines with specific reasonings for words are hidden in drilldown dropdowns on the side to allow users to uncover further information on their own accord.

Surfacing Insights

There are 2 kinds of insights: one short-term one where users can save specific paths from any galaxy and reflect and expand on what they learned from that path, share a cute card with friends, and see a divergence score of how far removed that path is from the AI convention. Then there's a long-term insight where over multiple sessions, users can see whether their fingerprints are widening or narrowing over time, showing neuroplasticity as a trend. Brainnnnnn.

6. What Safeguards Are in Place?

Protection from Misuse

shpace ship is a thinking tool, not an answer machine. It deliberately does not generate conclusions, summaries, or finished ideas. There is no output to copy and paste. This structural decision prevents the tool from being used as another ChatGPT-style shortcut. The only thing shpace ship produces is a map of paths. The user MUST write their own conclusion.

The Noise Problem

Raw randomness is not the goal. Category 3 thinking, paths that scatter everywhere and arrive nowhere, is a different kind of failure from convergence. So we include guiding questions like "what is your favorite sport" or "what's something you learned recently" which could appear as seemingly unrelated topics, but because there is a personal tie it's a much stronger basis than just a random word, and will drive learning either way.

Studies & Citations

Primary Source: The Gumball Machine — Art of the Problem, 2025

Video clips in the demo video and references to the thought tree analogy, fingerprint/echo framing, weighted dice model, story diversity/persona study, Kristoff Van Neman logic puzzles study, and the closing line "in a world where the cost of answers is dropping to zero, the value of the question becomes everything" are drawn from this video.

Source: Art of the Problem. "The Gumball Machine." YouTube, 2025. Available at: https://www.youtube.com/watch?v=dcolM6W5Odc (sources from video mentioned below).

MIT Media Lab, 2025

Students wrote essays in three conditions: brain only, Google search, and ChatGPT. 83% of the ChatGPT group couldn't recall a single sentence from their own work minutes after finishing. 100% of those who thought they could were wrong. Brain scans showed significantly lower neural connectivity in the ChatGPT group. A fourth group who outlined their own thinking first then used ChatGPT showed HIGHER brain connectivity than the brain-only group.

*Source: MIT Media Lab, 2025. Specific paper title not confirmed, *

Nature, 2024

300 people wrote stories, some with AI assistants. AI-assisted stories were significantly more similar to each other. Researchers gave writers 10 different AI personas with wildly different cultural perspectives and diversity returned, but only because of the human-designed personas. Within any single AI persona, outputs contained echoes of the same ideas repeating.

Source: 2024 study, n=300.

Harvard, 2025

42% decline in divergent thinking scores linked to AI-assisted ideation.

Source: Harvard, 2025. from video

Turnitin, 2024

22 million student essays flagged as AI-generated.

Source: Turnitin Annual Report, 2024.

London Taxi Drivers / GPS Study

Neuroscientists studied London taxi drivers and found the region of their brain for storing spatial knowledge was physically larger than average. Drivers who switched to GPS saw that gray matter shrink.

Source: Maguire EA et al. "Navigation-related structural change in the hippocampi of taxi drivers." PNAS, 2000. Follow-up: Woollett K, Maguire EA. "Acquiring the Knowledge of London's Layout Drives Structural Brain Changes." Current Biology, 2011.

Lancet / Doctors and AI

Doctors using AI assistance for just 4 months had a weakened ability to spot cancer on their own.

*Source: Referenced as Lancet. *

Kristoff Van Neman / Logic Puzzles Study

Two groups solved logic puzzles. Group A got helpful software highlighting valid moves. Group B got nothing. Group A solved puzzles faster but when help was removed they collapsed, described as aimlessly clicking around. Group B had no issue.

*Source: Referenced in the Gumball video transcript as Kristoff Van Neman. *

The Generation Effect, 1978

Showing people flash cards with word pairs, almost nothing stuck. When shown a word with a partially completed partner and asked to fill in the blanks, memory skyrocketed. No new information given, only the struggle to generate made it stick.

Source: Slamecka NJ, Graf P. "The generation effect: Delineation of a phenomenon." Journal of Experimental Psychology: Human Learning and Memory, 1978.

Vygotsky, 1920s

Thinking is talking. Babies babble out loud, form words, form sentences, and that outward speech eventually turns inward and becomes the voice in your head. The struggle to form words out loud creates the circuitry for thinking.

Source: Vygotsky LS. "Thought and Language." 1934. English translation MIT Press, 1962.

ACTIVE Trial / Dementia Study, 2026

A 20-year study found that people who regularly practiced cognitively demanding brain training had a 25% lower risk of developing Alzheimer's and other neurodegenerative diseases. Only the speed-training group who received booster sessions showed this benefit.

Source: Coe et al. "Impact of cognitive training on claims-based diagnosed dementia over 20 years: evidence from the ACTIVE study." Alzheimer's & Dementia: Translational Research & Clinical Interventions, February 2026.

Story Diversity / Persona Study, 2024

Researchers gave writers 10 different AI personas with wildly different cultural perspectives. Diversity in stories returned but only came from the human-designed personas, not from AI generating new diversity itself.

Source: Referenced in the Gumball video transcript