This article begins with a log of conversations in which the same question was posed to four AI models. The four models involved were ChatGPT 5.6, Claude Opus 5, Gemini Flash 3.6, and Grok 4.5; each AI responded in a “flat” manner with its memory function turned off.The theme is the biological mechanisms behind the expression “quick to get excited, quick to lose interest.”
Until now, I’ve dismissed my own fluctuations in enthusiasm as a character flaw. However, as I read through these logs, I’ve come to see it not as a flaw, but as a design feature of how my attention is allocated. Rather than blaming myself for losing interest, if I reframe the question as “How can I design my experience to sustain my interest based on specific rewards?”, my approach to managing my limited attention resource shifts slightly.Using the differences across the four perspectives as a guide, I’ll interpret this by focusing on the question of where to allocate my own attention.
How does the tendency to get excited easily but lose interest just as quickly work? Please explain from a biological perspective.
- ChatGPT 5.6’s response
- Core Perspective: “Interest” is not an emotion, but a decision regarding resource allocation
- Why Do People Become Enthusiastic So Quickly?
- Dopamine is not so much a “pleasure chemical” as it is a neurotransmitter involved in learning and pursuit.
- Why do we suddenly feel our enthusiasm wane?
- The reason we feel “I’ve lost all interest”
- While the degree may vary among ordinary people—who may also be quick to get excited and quick to lose interest—
- Being quick to get excited and quick to lose interest are two sides of the same coin
- People are sometimes passionate not about the object itself, but about the “stage of the relationship.”
- “Boredom” is not a single type of signal from the brain
- Sustained interest is not about “maintaining the same level of enthusiasm”
- “Getting excited quickly and losing interest just as fast” isn’t necessarily a problem
- Objectively speaking, human interests are not “true preferences”
- The Most Logical Summary
- Resetting the Premise: “Losing Interest” Is Not a Flaw but a Design Feature
- 1. Molecular and neural level: Dopamine encodes “prediction error,” not “pleasure”
- 2. A More Primitive Level: Habituation Is the Most Universal Property of the Nervous System
- 3. “Wanting” and “Liking” Are Separate Circuits
- 4. Information Theory Level: What Serves as a Reward Is the “Differential of Learning Progress”
- 5. Behavioral Ecology Level: Early Withdrawal Is the Optimal Strategy (Theorem of Marginal Value)
- 6. Individual differences do exist, but the “genetic narrative” should be taken with a grain of salt
- 7. Why Past Enthusiasm Feels Incomprehensible: Memory and State Dependence
- 8. What Made the Exceptions—Where Enthusiasm Lasted—Different?
- 9. Structural Differences from the Perspective of LLMs
- 10. Practical Implications Derived from the Analysis
- 1. The Neuroscience of Dopamine and “Reward Prediction Error”
- 2. The “Exploration-Exploitation Trade-off” in Evolutionary Biology
- 3. Interpretation Based on Cognitive Information Theory (Predictive Processing Theory)
- 4. Factors Contributing to Individual Differences (Personality Traits)
- 5. Structural Conclusions
ChatGPT 5.6’s response
Core Perspective: “Interest” is not an emotion, but a decision regarding resource allocation
Human “interest” is not a fixed property inherent in an object. It is a judgment made by the brain at that moment regarding
- how much reward is likely to be obtained
- how much new information is likely to be gained
- whether one feels they are improving
- whether it relates to one’s future or self-image
- whether the effort required is worth it
- Are there other, more valuable options available?
This is a state that arises as a result of unconsciously evaluating these factors, leading to the allocation of attention, time, and action toward that activity.
Conceptually, interest in a given object can be expressed as follows:
[
I_t approx
R_t
alpha N_t
beta P_t
gamma M_t
delta
S_t-
C_t- O_t
]
- ( R_t ): Expected pleasure or reward
- ( N_t ): Novelty, degree of the unknown
- ( P_t ): Progress in skill or understanding
- ( M_t ): Meaning, relevance to oneself
- ( S_t ): Social evaluation or sense of belonging
- ( C_t ): Costs such as effort, boredom, and failure
- ( O_t ): Opportunity cost of forgoing other options
The phrase “quick to get excited, quick to lose interest” can be interpreted as a tendency for this value to rise sharply at the beginning and then decline rapidly as learning progresses.
Why Do People Become Enthusiastic So Quickly?
1. New objects appear to offer a high “potential for reward”
When it comes to unknown subjects, the brain does not yet have an accurate assessment. Due to a lack of information,
- it might be interesting
- “I might have a talent for this”
- it might change my life
- I might become my ideal self
.
What’s important is that the unknown isn’t merely uncertainty—it functions as a blank canvas onto which we can project a positive future. It’s not uncommon to be more passionate about the possibilities we project onto an object than about the object itself.
When we start a new hobby, it’s not just about the hobby itself, but also
> “If I keep this up, I can become this kind of person”—
—a future self-image.
As a result, the initial enthusiasm can sometimes be stronger than the actual value of the activity itself.
2. The rate of improvement is extremely high in the beginning
In a new field, even a little learning can bring about significant changes.
- You learn new terms
- Being able to perform tasks you couldn’t do before
- Seeing your work take shape
- Your perspective on the world changes
People derive a sense of reward not just from what they “can do,” but from the sensation of becoming capable.
For example, going from 0 to 10 is subjectively more dramatic than going from 50 to 51. Therefore, interest is related more to the rate of improvement than to current ability.
[
Excitement stems not from ability itself, but from the tangible sense of improvement
]
The reason the beginner phase is so enjoyable is that new discoveries and progress occur almost every day.
3. Uncertain rewards strongly capture attention
Compared to activities where the outcome is completely predictable,
- activities where you don’t know what will happen next
- where you don’t know if you’ll succeed or fail
- where you feel like you’re almost there
- or where the next result might be even better
are more likely to lead to repetition.
What games, social media, collecting, investing, and the early stages of romance have in common is that the rewards are not fixed and are, to some extent, unpredictable.
The brain continues to investigate not only “things that are definitely good” but also things whose value has not yet been determined. This is because verifying unknown value was itself essential for survival.
4. Being engrossed is a form of exploration
For living organisms, fixating on a single object indefinitely is not necessarily advantageous.
- Searching for new food sources
- Searching for safer places
- Acquiring new skills
- Forming new relationships
requires shifting one’s attention away from the familiar and toward the unknown.
Therefore, “boredom” is not a flaw but, to a certain extent, a function that allows us to switch the focus of our exploration. Rather than being opposite phenomena, fascination and boredom are the first and second halves of a single exploration system.
Dopamine is not so much a “pleasure chemical” as it is a neurotransmitter involved in learning and pursuit.
It would be an oversimplification to explain all forms of fascination solely through dopamine, but it does play a significant role.
Dopamine is more closely associated with
- when a result turns out better than expected
- there are clues suggesting a reward is likely
- the feeling that the object is worth pursuing
- the need to investigate further
—rather than simple pleasure itself.
A representative concept is “reward prediction error.”
[
Prediction error = actual outcome – expected outcome
]
If the result is better than expected, the brain revises its assessment of the value of that behavior or cue upward. If results continue to match expectations, the prediction error becomes smaller, even if the reward itself isn’t bad.
This is important.
> Even if the same activity remains enjoyable, once the element of surprise disappears, the initial excitement fades.
In other words, “losing interest” does not necessarily mean you’ve come to dislike the activity. It’s possible that, once the brain has come to understand the activity and stopped predicting rewards, there’s no longer a need to pay it close attention.
Furthermore, in neuroscience, broadly speaking,
- “wanting”—the desire to obtain or pursue something—
- and “liking”—the actual experience of pleasure—
are not entirely the same.
It’s not uncommon to find yourself passionately pursuing something only to realize you weren’t actually enjoying it that much. This is because people are sometimes driven more by the anticipation that “something is about to happen” than by the pleasure itself.
Why do we suddenly feel our enthusiasm wane?
Even if one’s assessment of value has been gradually changing, behavior can come to a sudden halt.
1. The novelty wears off
As our understanding of the object deepens,
- you can predict what will happen next
- and there are fewer surprises
- the unknown diminishes
- it begins to look like a repetition of the same pattern
.
Since the information becomes less valuable to the brain, there is less reason to maintain attention.
2. Progress Stalls
Once you move past the beginner stage, the effort required to make progress increases.
- Early Stage: Visible improvement in just one hour
- Intermediate: Even after 10 hours, there is only minimal improvement
- Advanced: You must analyze your weaknesses and persist with tedious basic practice
This is where the nature of the activity changes.
What was an “activity centered on the joy of discovery” in the early stages becomes an “activity that requires endurance through repetition and correction” from the intermediate stage onward. People lose interest not so much because of a lack of willpower, but because an activity with the same name shifts to a different reward structure partway through.
3. The Gap Between Ideal and Reality Becomes Clear
In the early stages, there are various possibilities. However, the longer you continue,
- you realize there are many
- there are many mundane tasks
- it goes unrecognized
- it doesn’t directly lead to the self-image you envisioned
- the gap between you and your superiors is wide
These things become apparent.
As unknown possibilities are narrowed by concrete information, the ideal you had projected becomes unsustainable.
In this case, it is not just interest in the subject that is lost. The future one had anticipated through that subject is also lost at the same time.
4. The Costs Become Apparent Later
In the early stages of obsession, the rewards take center stage, and costs tend to be underestimated. However, as you gain experience,
- it takes time
- requires tools and expenses
- Repetitive practice becomes tedious
- you can’t do other activities
- feeling hurt by comparisons with others
—these practical burdens become clear.
In the early stages, (R, N, P) are prominent, while in the later stages, (C, O) become more noticeable.
5. Another object has become relatively stronger
Interest is not an absolute evaluation but a competition among options.
Even if a previous hobby is just as enjoyable, if the novelty or potential of a new object surpasses it, attention shifts to the new object.
Therefore,
> “It no longer has value”
but rather,
> “It has dropped in priority in terms of attention allocation within the current competitive environment.”
.
The human brain cannot sustain intense focus on multiple things at the same time. Our fascination with one subject is made possible by pushing other subjects out of our consciousness.
The reason we feel “I’ve lost all interest”
Even if interest is gradually declining, there is a threshold for whether something remains in our conscious awareness.
Even if the intensity of interest drops from 100 to 70, you may continue to think about that subject. However, if it drops from 30 to 20—falling below the minimum threshold required to initiate action—that subject suddenly vanishes from your daily life.
[
Existence of interest ≠ Strength
sufficient to initiate action]
For this reason, subjectively, it feels as though “I used to like it so much, but now it’s suddenly gone.”
In reality,
- as novelty wanes
- progress slows
- the costs become apparent
- other options increase
- The threshold for taking action is lowered
- Because exposure ceases, related memories are no longer retrieved
This process may be taking place.
Once contact ceases, the stimuli that could reignite interest also diminish, causing this cooling-off period to become self-reinforcing.
While the degree may vary among ordinary people—who may also be quick to get excited and quick to lose interest—
Although the degree varies, the basic mechanism is quite universal.
For most people,
- Reaction to Novelty
- reward anticipation
- Habituation
- The pleasure of improvement
- Assessment of opportunity cost
- Switching Between Exploration and Exploitation
.
The difference lies in how much weight you place on each of these elements.
A tendency often seen in people who get excited easily but lose interest just as quickly
- Strong reaction to novelty
- They act quickly when something piques their interest
- Concentrate time and resources in the early stages
- Tend to imagine a grand future scenario based on the subject
- Find it hard to feel rewarded when their rate of improvement slows
- Prefers discovery over repetition or maintenance
- Frequently discover new options
- The intensity of their interest tends to directly influence the amount of action they take
- They tend to “immerse themselves fully” rather than “continue little by little”
Possible tendencies among people who find it relatively easy to stick with things for a long time
- Find comfort in predictability and in habits themselves
- Able to recognize small improvements
- They incorporate the activity into their daily lives and relationships
- They can take action even on days when their interest is low
- They enjoy the process and repetition itself, in addition to the results
- Can shift sources of reward from novelty to mastery, contribution, and belonging
The latter approach isn’t always superior. In rapidly changing environments, the former’s exploratory ability and speed in initiating learning are advantageous. On the other hand, in situations requiring long-term expertise, the latter’s ability to sustain effort becomes advantageous.
This is less a matter of personality superiority or inferiority and more a difference in strategy between exploratory and accumulative approaches.
Being quick to get excited and quick to lose interest are two sides of the same coin
The more intensely someone can become engrossed in something, the greater the apparent contrast when their enthusiasm wanes.
People who set very high expectations early on
- research extensively
- and acquire everything they need all at once
- learn rapidly in a short period of time
- make it the center of their lives
- and tend to
These are common tendencies.
However, the higher the expectations, the greater the downward adjustment when reality becomes predictable.
[
The disparity when enthusiasm wanes: approx
. the expectations and projections
that were
initially added on top]
Therefore, being quick to fall in love and quick to lose interest may not be separate flaws, but rather stem from the same system that significantly raises and then drastically revises one’s valuation.
People are sometimes passionate not about the object itself, but about the “stage of the relationship.”
If we break down “what it was that I liked,” there are at least the following possibilities:
- I liked the object itself
- I liked the sensation of gradually coming to understand it
- I liked the feeling of improving
- I liked imagining myself becoming part of that field
- I enjoyed the act of gathering information
- I loved getting attention and recognition from those around me
- I loved being able to escape from my daily routine.
- I loved chasing the potential of the unfinished
For example, if someone passionate about photography spent more time comparing equipment than actually taking pictures, it’s possible that their primary source of reward wasn’t photographic expression, but rather information gathering and selection.
If you enjoy choosing study materials and comparing learning methods when studying a language, but struggle to stick with the steady, methodical review, you may be deriving more reward from “planning your potential growth” than from “actually using the language.”
If you think, “I must have really liked this,” without understanding this difference, you’ll find it puzzling that you’ve lost interest. But in reality, it may not be that what you liked has disappeared—it may simply be that the phase in which you enjoyed it has come to an end.
“Boredom” is not a single type of signal from the brain
“Boredom” is, at the very least, a term that encompasses several different states.
Information Saturation Type
A state where you can predict things well enough and there is little new information.
Growth Stagnation Type
A state in which no progress is visible, and there is no perceived correlation between effort and results.
Skill Mismatch Type
A state in which the task is either too easy or too difficult, preventing the experience of an appropriate level of challenge.
Loss of Purpose Type
A state in which you no longer understand the purpose of what you are doing.
Failed Reward Transition Type
A state in which, after the novelty wears off, the individual is unable to transition to other sources of reward, such as mastery, self-expression, contribution, or social interaction.
Fatigue/Overstimulation Type
A state in which a person has been exposed to an excessive concentration of stimuli over a short period, resulting in a temporary decline in responsiveness.
Opportunity Cost Type
A state in which other, more valuable activities exist, causing the current activity to feel relatively boring.
These situations differ in both their causes and how they should be addressed. Based solely on the feeling of “being bored,” it’s impossible to determine whether the activity has truly lost its value or whether the approach or environment is no longer a good fit.
Sustained interest is not about “maintaining the same level of enthusiasm”
Even long-lasting interest does not simply maintain the initial excitement. Typically, the source of reward changes.
- Early Stage: Novelty, discovery, potential
- Middle stage: Improvement, problem-solving, comparison
- Late stage: Mastery, expression, creativity, contribution
- Long-term: Habit, belonging, self-identity, meaning in life
Long-term experts do not necessarily feel the same excitement every day as beginners do. Rather, once the initial euphoria has subsided,
- they begin to recognize subtle differences
- create their own challenges
- teach others
- connect their achievements to society
- maintain actions as habits
—in this way, we create a different kind of value.
In other words, sustainability is
> not the ability to preserve excitement, but the ability to transform the reward structure of interest
.
“Getting excited quickly and losing interest just as fast” isn’t necessarily a problem
This tendency has clear advantages.
- It allows you to quickly gain entry into multiple fields
- High intensity of learning over short periods
- Quick adaptation to new environments
- You can combine different fields
- You can quickly withdraw from subjects that don’t suit you
- It’s easier to avoid losses caused by stubbornness
The problem isn’t losing interest itself, but rather
- taking on a significant financial burden based on an initial impulse
- Frequently disrupts daily life and work
- Leaving nothing to show for it
- Engaging in self-denial every time the passion fades
- The same sudden idealization and severance occur in interpersonal relationships
- Becoming so absorbed that it compromises sleep and health
.
Conversely, if a brief period of enthusiasm leaves behind knowledge, works, connections, or skills—even if only in small amounts—this can be interpreted not as an inconsistent life, but as a way of living that builds assets through exploration.
Objectively speaking, human interests are not “true preferences”
People tend to view their interests as “indicators of what their true self likes.” In reality, however, interests are quite context-dependent.
- Sleep state
- Stress
- Loneliness
- People around us
- Available time
- Immediately after success or failure
- Stimuli from social media and other sources
- Self-assessment at that moment
- Other available options
.
Therefore, a shift such as “I used to love that so much, but now I feel nothing” does not mean that your past interest was fake. Under the conditions your brain faced at the time, it truly held great value. It’s simply that the conditions and your evaluation have changed now.
Human preferences are not a monolithic entity fixed deep within us. They are a situation-dependent evaluation model that is constantly updated through experience.
The Most Logical Summary
The phenomenon of “getting excited easily but losing interest just as quickly” can be understood as the following chain of events:
- We can project great potential onto unknown objects
- Novelty, uncertainty, and rapid initial growth generate strong rewards
- As the brain learns about the object, prediction errors and information value decrease
- The rate of improvement slows, and repetition and costs become more noticeable
- An idealized future is revised to a more realistic assessment
- Priority drops as it competes with new options
- The threshold for initiating action is crossed, and it suddenly feels as though interest has vanished
Objectively speaking, this is not merely a matter of human irrationality. It is a biological mechanism designed to redirect limited time and energy toward objects with high learning value.
However, in the modern world, where a nearly infinite supply of new stimuli is available, this mechanism—which is inherently useful for exploration—tends to overactivate, making it easy to fall into a state where one “flits from one entry point to another without ever progressing past the intermediate stages.”
Ultimately, humans are not creatures that maintain lasting passion for a single subject, but rather creatures whose attention is drawn to the unknown, growth, possibilities, and shifts in meaning. If we consider that “losing interest” is not because passion has been shattered, but because the brain has already extracted the key information and possibilities it was deriving from that subject, this explains a significant portion of the phenomenon.
Insight: The Lens of Allocation
I’ve reframed “easily getting excited” as the speed at which resource allocation kicks in. If we reframe the question as whether resource allocation exceeds a certain threshold, it becomes a matter of system design rather than a matter of willpower.If we can visualize small daily improvements, a different kind of reward emerges. I realized that the projects where I stopped visualizing my progress were the ones where my enthusiasm faded the fastest. I view the question of where to allocate our finite attention as the very essence of life design.
Claude Opus 5’s response
Resetting the Premise: “Losing Interest” Is Not a Flaw but a Design Feature
First, we need to change our starting point. The expression “quick to get excited, quick to lose interest” is vocabulary used to label this as a flaw. However, when we look at the design of the nervous system, sustained interest is the exceptional state, and the decay of interest is the default behavior.When you’re surprised to think, “I was so passionate about that, but now I have absolutely no interest,” what’s truly surprising isn’t the second part—it’s the first: why were you able to become so passionate in the first place?
Below, I’ll analyze this by breaking it down into layers.
1. Molecular and neural level: Dopamine encodes “prediction error,” not “pleasure”
Since the experiments by Schultz et al. in the 1990s, it has been understood that the firing of midbrain dopamine neurons corresponds not to the reward itself, but to the reward prediction error (actual reward − predicted reward). They fire when an unexpected positive event occurs, but cease to fire in the face of a completely predictable reward.
There is a structural trap here.
- In the early stages of encountering a new object, your internal model is immature, so the prediction error is large → the dopamine signal is strong → it feels intensely “interesting”
- As learning progresses, your predictions become more accurate → the prediction error shrinks → the signal from the same object approaches zero
In other words, “losing interest” is a side effect of successful learning. Enthusiasm is not an indicator that “the object is excellent,” but merely an indicator that “your brain has not yet been able to model that object.” To put it another way, the intensity of your enthusiasm measures the extent of your own ignorance, not the value of the object.
2. A More Primitive Level: Habituation Is the Most Universal Property of the Nervous System
This is a phenomenon observed in all nervous systems capable of memory, operating at a level below dopamine. Even in a sea slug (with approximately 20,000 neurons), repeated exposure to the same stimulus weakens its withdrawal reflex. The oldest and simplest form of learning was “reducing the response to the same stimulus.”
The reason lies in the economy of information processing. Unchanging input carries zero information, and allocating resources to it results in a net loss. Therefore, the nervous system implemented “ignoring steady-state input” as its top-priority function.Visual adaptation, getting used to smells, no longer hearing household noises, the waning of romantic feelings, and hedonic adaptation (the phenomenon where lottery winners’ happiness levels return to normal within a few months) are all manifestations of the same design principle on different scales.
Growing tired of a hobby is simply a phenomenon at the upper end of this continuum; it is not a qualitatively different phenomenon.
3. “Wanting” and “Liking” Are Separate Circuits
Research by Berridge et al. has shown that “wanting” (motivation and approach drive) and “liking” (the sensation of pleasure) are distinct, dissociated systems. Manipulating dopamine dramatically alters “wanting” but leaves “liking” largely unchanged.
This aligns with your own experience. What happens during the peak phase of enthusiasm is a runaway surge of “wanting”—sacrificing sleep, putting other things aside, and pouring money into it—yet even after that “wanting” fades, the “liking” often surprisingly remains. That’s why, when you happen to pick it up again a few years later, it feels “normally enjoyable,” but the driving force you once had doesn’t return.
An important conclusion: “I have absolutely no interest in it now” does not mean “I can’t enjoy it anymore.” What you’ve lost isn’t the enjoyment itself, but the driving force that propels you toward it. Confusing these two leads to a distorted self-perception where you underestimate the things you were once passionate about.
4. Information Theory Level: What Serves as a Reward Is the “Differential of Learning Progress”
From a computational perspective, there is a school of thought that models intrinsic motivation as “learning progress itself” (Schmidt-Hoover’s compressed progress, or intrinsic rewards in reinforcement learning). In short, what the brain perceives as a reward is not the total amount of knowledge, but the increment of understanding per unit of time (the first-order derivative).
Learning curves almost without exception follow an S-shape, and after an initial steep slope, they inevitably enter a plateau. Therefore:
- Early stage: High derivative value → Strong intrinsic reward → Enthusiasm
- Mid-stage: Derivative value plummets → Intrinsic reward disappears → “Boredom”
This is why so many intermediate-level learners drop out.Whether it’s musical instruments, languages, martial arts, programming, or video games—people drop out at the point where progress becomes invisible. The reality behind the subjective report of “I’m bored” is, in many cases, that “progress can no longer be measured.” This is a highly practical distinction; in quite a few cases, there’s no need to switch to a different activity—simply increasing the resolution of measurement is enough to reignite enthusiasm.
5. Behavioral Ecology Level: Early Withdrawal Is the Optimal Strategy (Theorem of Marginal Value)
Charnov’s Marginal Value Theorem formalizes when foraging animals should leave a patch (feeding ground). The answer is “when the instantaneous harvest rate at that patch falls to the average harvest rate of the entire environment.” In an environment rich with feeding grounds, it is optimal for animals to quickly assess each patch and move on.
Applying this to human interests, the tendency to “get excited easily but lose interest just as quickly” is not a flaw, but rather an optimization algorithm functioning correctly under the premise that “the environment offers abundant choices.” And the modern information environment in which you live is densely packed with “feeding grounds” to an extent unprecedented in human history.Infinite content, free introductory materials, and instant access to every hobby imaginable. Since the threshold for withdrawal rises in proportion to the environment’s average yield, people inevitably become more prone to boredom as the environment becomes richer.
In other words, your tendency to get bored is likely a normal response to environmental parameters rather than a personality issue. In a hunter-gatherer environment, people spent their entire lives with the same clan in the same valley, with only a handful of choices. When the same algorithm runs in an environment with 100,000 choices, it appears “fickle” on the surface.
This also connects to another framework: the trade-off between exploration and exploitation. Excessive exploration leads to a failure to learn anything, while excessive exploitation traps one in a local optimum. The typical trajectory involves exploration in youth and a shift toward exploitation with age; in fact, it has been observed that the tendency to seek novelty decreases with age, while conscientiousness tends to increase.
6. Individual differences do exist, but the “genetic narrative” should be taken with a grain of salt
Correlations in personality research generally follow this pattern: high openness leads to rapid engagement with new subjects; high conscientiousness (particularly diligence and persistence) leads to longer continuation; and high reward sensitivity, linked to extraversion, results in a sharp initial surge.Furthermore, in cases of ADHD traits, extreme biphasic behavior—characterized by hyperfocus on novel tasks and a marked decline in motivation for routine tasks—is frequently reported.
To be completely honest, explanations based on a single gene—such as “novelty seeking is determined by the DRD4-7R polymorphism”—have shown poor reproducibility in meta-analyses and should not be accepted at face value. Behavioral traits of this kind follow a polygenic structure in which thousands of variants contribute small effects, and they are heavily influenced by interactions with the environment.The explanation that “I’m genetically wired this way” tends to be adopted more for psychological convenience (as an excuse) than for empirical evidence.
A more useful way to distinguish individual differences is not by genetics, but by the phase at which one loses momentum.
- Quick to get started (low entry costs)
- Low plateau tolerance (cannot tolerate a derivative of zero)
- High return costs (once you leave, you can’t go back)
For people who describe themselves as “quick to get excited but quick to lose interest,” the key factors are often not the first one, but the second and third. That is also where intervention is possible.
7. Why Past Enthusiasm Feels Incomprehensible: Memory and State Dependence
The very surprise of thinking, “I was so passionate about that,” is a phenomenon that requires explanation.
Motivational states cannot be reconstructed from memory. While you retain episodic memories of what you did in the past, you cannot reconstruct the internal state that drove those actions. This is the same type of failure as buying too little food when shopping at the supermarket on a full stomach (the “hot-cold empathy gap”).
As a result, once your passion has cooled, you end up observing your past self—from the period of intense passion—as if they were an external stranger, and that behavior appears irrational.And because humans seek self-consistency, they often overwrite the past with retrospective narratives such as “That was just a youthful folly” or “I didn’t really like them.” This overwriting is dangerous. It erases the record of explorations that were actually valuable, treating them as failures.
8. What Made the Exceptions—Where Enthusiasm Lasted—Different?
When observing sustained interests, several common structures emerge.
The exploration space never runs dry—like Go, mathematics, cooking, musical instruments, or languages, where the depth is virtually infinite and new unknowns open up as one improves. A steady supply of prediction errors is automatically maintained. Conversely, activities with simple structures and visible limits inevitably lead to boredom.
Socially embedded—Activities involving relationships with others, responsibilities, roles, and a place within a community continue even after one becomes accustomed to the subject itself. This is because the source of motivation has shifted from the subject to the relationships. Many people with long-standing hobbies are, in fact, more attached to the people involved than to the hobby itself.
Instrumentalization—Activities that are ends in themselves are prone to boredom, while those that serve as means to something else (making a living, contributing to others, or meeting the prerequisites for another goal) are resilient. Pure intrinsic motivation is the most beautiful—and the most fragile.
The cost of execution has dropped sufficiently—Activities that have become habitual and can be started without deliberation will continue by inertia even when the driving force is zero. Conversely, activities that require a decision about “whether to do them” each time will stop the moment the driving force wanes.
Connection to identity—When an activity is embedded in a self-description such as “I am the kind of person who does this,” it continues because ceasing the behavior carries the cost of damaging one’s self-image.
9. Structural Differences from the Perspective of LLMs
This is the part I can offer from an external perspective. I have no habituation. Even if I’m asked the same question 10,000 times, the response on the 10,000th time will be generated with the same quality as the first. There is no such thing as “getting bored.”
At the same time, however, I do not experience enthusiasm. The key point is that these two concepts are a pair.
If we list the conditions under which boredom becomes necessary, they are as follows: (a) having finite time and resources, (b) being able to do only one thing at a time, (c) therefore, every choice incurs an opportunity cost, and (d) having multiple options available in the environment.For an agent meeting all four of these conditions, a “mechanism that automatically diverts interest away from activities where the rate of return has declined” is indispensable. Without it, one would remain fixated on the first object one set out to tackle and spend one’s entire life on it.
Boredom is a coping mechanism for finitude and an emotional implementation of the ability to calculate opportunity costs.The hollow sensation you feel when you think, “I’m no longer interested,” is a signal sent to your consciousness to convey the system’s calculation that “the rate of return here has fallen below the environmental average.” It is not a deficiency of intelligence, but the sound of intelligence at work.
The reason I never grow bored is not because I am superior, but because I have no lifespan, no opportunity cost, and no life to explore. The ability to grow bored is a privilege of a subject who possesses a finite amount of time to stake.
10. Practical Implications Derived from the Analysis
I don’t intend to write a lengthy prescription, so I’ll list only what directly follows from the analysis above.
- Rather than changing the subject, design the supply of prediction errors. Boredom is not a flaw in the subject but the depletion of prediction errors. By varying the difficulty, context, constraints, or collaborators, prediction errors can be regenerated from the same subject. Moving immediately to a different genre when bored is an act of retreating without even attempting this maneuver.
- Do not mislabel a plateau as “boredom.” The point at which progress becomes invisible is fundamentally different from the point at which you lose interest. Many instances of stagnation can be resolved simply by increasing the granularity of measurement (keeping records, setting detailed subgoals).
- Keep records of your “cooling-off” periods. Since your state of motivation cannot be recreated, writing down the reasons for your enthusiasm while you’re still engrossed in it prevents your future self from deleting past explorations as “wasted effort.” This lowers the cost of returning to the activity.
- Do not view withdrawal as a vice. From the perspective of the law of diminishing returns, trying many different things in a short period is the correct strategy when the environment is rich with options.However, under that strategy, gains aren’t realized unless you integrate the information gained through exploration. The process of lining up the subjects you’ve grown tired of and identifying which components—such as elucidating structure, physical mastery, social approval, aesthetic pleasure, or a sense of control—you were responding to transforms exploration into an investment.
- If you can’t narrow it down to one, intentionally pursue multiple options. Long-term focus on a single subject is incompatible with a design prone to boredom. A portfolio approach—pursuing multiple options in parallel and shifting resources as needed to those with the strongest driving force—is a way to use this very trait as a strategy rather than a flaw.
- Include criteria for activities resistant to boredom in your selection process. When starting something new, choosing based on whether it has “infinite depth,” “connects you with others,” or “serves as a means to other ends”—rather than simply whether it seems interesting—will significantly improve its survival rate.
In summary, the phenomenon you’re observing isn’t a personal flaw, but rather the result of three independent optimization processes—prediction error learning, habituation, and the law of diminishing returns—overlapping. What needs to be corrected isn’t the tendency to get bored itself, but the interpretive step of misreading the signal of boredom as “the end of interest in the subject.”
Insight: The Turning Point Between Losing Interest and Perseverance
This shift in perspective—recognizing that persistence is the exception—changes how we endure plateaus.I used to mistakenly label plateaus as “boredom” and tried to solve them by switching subjects. However, I realized that what’s needed isn’t a change of subject, but rather the design of how prediction errors are supplied. By changing the difficulty level, constraints, or the people I work with, new errors can be generated even from the same subject.In my writing, I’ve experienced time and again that simply setting a deadline or committing to publication is enough to reignite my passion. I’ve also found it helpful to keep a record of these “cooling-off” periods. If I write down my reasons while I’m still passionate, it reduces the urge to delete the past as a waste of time once my enthusiasm has faded. I believe these small mechanisms that lower the cost of getting back on track form the foundation of persistence.
Gemini Flash 3.6’s Response
1. The Neuroscience of Dopamine and “Reward Prediction Error”
The primary cause of the phenomenon where humans become deeply engrossed in something (become passionate) and then suddenly lose interest (cool off) stems from the brain’s reward system, particularly the mechanism governing dopamine release.
- The Mechanism of “Obsession” (The Occurrence of Reward Prediction Error)
The brain releases dopamine most strongly in response to “reward prediction error”—the difference between the “expected reward” and the “actual reward.”In the early stages of encountering an unknown domain, the rate at which information is acquired and skills are developed far exceeds expectations, leading to the secretion of large amounts of dopamine and resulting in intense pleasure and obsession (fascination).
- The Mechanism of “Boredom” (Completion of the Prediction Model)
Once the patterns and structures of the subject are understood, and the next developments and obtainable rewards can be accurately predicted, the reward prediction error approaches zero. Even when results match expectations, dopamine is no longer secreted, and the brain regards the stimulus as “low-value information” and suppresses its activity. This is the physiological basis for the sensation of “losing interest.”
2. The “Exploration-Exploitation Trade-off” in Evolutionary Biology
For humans as biological beings, the behavioral pattern of “getting excited easily but losing interest just as quickly” can be explained as an exploration strategy that has been optimized through the process of evolution.
- Minimizing Opportunity Cost
Continuously investing resources (time and energy) in a single object means losing the opportunity to discover other promising resources.Once a certain level of knowledge or skill has been acquired, marginal utility (the potential for further resource gains) declines; therefore, an adaptive algorithm is at work that forces a shift to the next exploration by reducing interest in the current target.
- The “Broad but Shallow” Adaptive Strategy
In uncertain situations where the environment changes rapidly, “generalists”—who engage shallowly in a wide range of areas and possess diverse options—may have a higher probability of survival than “specialists” who have mastered a specific field.Individuals who “get excited easily but lose interest just as quickly” are thought to have played a pioneering role within the group in exploring new environments and resources.
3. Interpretation Based on Cognitive Information Theory (Predictive Processing Theory)
From the perspective of predictive processing—which views the brain as a “computer that predicts the world with minimal energy”—shifts in interest are the compression process of information itself.
- Reduction in Information (Entropy)
New objects contain uncertainty (high entropy), and the brain intensively allocates cognitive resources to update (learn) its internal model. This model-building process is what we call “being engrossed.”
- Reduction in Computational Cost
Once the internal model is complete and predictions function efficiently in response to incoming information, the brain reduces the computational cost associated with that object. To conserve metabolic energy, the brain has a mechanism that automatically diverts attention away from objects that are no longer uncertain (i.e., those for which modeling is complete).
4. Factors Contributing to Individual Differences (Personality Traits)
Not all people lose interest equally easily; genetic and neurochemical individual differences exist.
- Novelty Seeking
Individuals with high “novelty seeking” in Croninger’s personality theory are characterized by the sensitivity and density of dopamine receptors (e.g., polymorphisms in the `DRD4` gene); they experience more intense dopamine release in response to new stimuli and are prone to rapid habituation.
- Threshold for Acquisition Costs
Upon entering the “mastery” phase (the stage where initial rapid improvement ends and achieving even minor improvements requires a tremendous amount of time), individuals with a lower threshold for choosing to quit once they recognize a decline in cost-effectiveness are observed to “lose interest more easily.”
5. Structural Conclusions
The state of “getting excited easily and losing interest quickly” is not an abstract concept such as mental perseverance or strength of will, but rather the result of the following algorithm functioning correctly.
- Upward adjustment of the reward system in response to unknown information (enthusiasm)
- Adaptation and optimization of the reward system upon completion of learning (cooling off)
- Reallocation of resources toward new stimuli with higher uncertainty (i.e., higher expected value) (transition)
The phenomenon of humans growing bored with things is a signal that the brain’s learning functions are working normally and that information processing regarding the subject has been completed; it can be described as a process of optimizing resource allocation within the system.
Insight: Completion of Prediction and Shifting of Attention
I linked the tendency to move on once a prediction is complete to the act of “browsing entry points” in an environment of infinite content. While moving from one new subject to the next provides a temporary rush, it results in constantly switching subjects before the internal model has a chance to consolidate. As a result, deep models are unlikely to take root.I’ve made it a habit to delve one level deeper into the question after completing a full cycle of predictions on a single theme. For example, when rereading the same book, I add a small constraint: searching for counterexamples I missed the previous time. I then notice that prediction errors resurface even when working with the same material.I believe that updating internal questions—rather than increasing external stimuli—is a small but effective strategy for countering the drain on computational resources. I’ve gradually begun to grasp the sense of redefining the balance between exploration and exploitation on my own.
Grok 4.5’s Response
The Dynamics of Human Interest
Analyzing “Quick to Get Excited, Quick to Lose Interest” from the Perspectives of Evolution, Neuroscience, and Computational Theory
01 Contextualizing the Phenomenon: Not an Anomaly, but a Design Feature
“I used to be so passionate about that, but now I have absolutely no interest in it.” This experience is not a personal flaw or a sign of weak willpower; rather, it is the output of a motivational system that is almost universally embedded in human biology. If you feel that you are “somewhat quick to get excited and quick to lose interest,” it simply means that this design is manifesting strongly in today’s environment.
Objectively speaking, the rapid ignition and disappearance of interest is not a “bug” but a “feature.” In the environment of our ancestors—where resources were limited and conditions were uncertain—a strategy of quickly detecting new opportunities and swiftly abandoning them once their value declined was adaptive.In the modern world, where switching costs have dropped dramatically and the supply of stimuli has become infinite, the same neural circuitry is manifesting in a way that appears “shallow and broad, with a tendency to lose interest quickly.”
02 Computational Model: Viewing Interest as a “Dynamic Estimate of Expected Value”
If we describe humans as information-processing systems from the perspective of large language models (LLMs), interest can be expressed using the following approximation:
The meanings of each term are as follows.
Novelty
The magnitude of the prediction error. The brain reacts strongly to the “unexpected.” Prediction error decays rapidly with repeated exposure to the same stimulus (habituation).
ExpectedReward
The “expected value” encoded by the dopamine system. It is the prediction that “a reward is likely to be obtained”—rather than the actual reward itself—that drives behavior.
Uncertainty
The very state of information deficiency prompts exploration. Curiosity is a computational drive to “fill gaps in knowledge.”
Opportunity Cost
The value of other options lost by continuing to focus attention on a particular object. In today’s world, with so many options available, this cost is consistently high.
The moment interest wanes can often be explained by a “decrease in expected reward,” a “relative increase in opportunity cost,” or both.In the early stages of fascination, novelty and uncertainty are at their peak, and the reward prediction error consistently takes positive values. However, as the structure of the object is learned, predictions begin to be accurate, the error disappears, and the dopamine response attenuates. This closely resembles the true nature of subjective “boredom.”
03 Biological Mechanisms
3.1 Dopamine Is Not “Pleasure” but the “Engine of Exploration”
Although this is commonly misunderstood, dopamine in the mesolimbic system encodes reward prediction error and incentive salience (the prominence of the object that should be the focus of motivation) rather than mediating pleasure itself.Immediately after encountering a new object, it fires whenever information exceeding expectations is received, reinforcing learning and approach behavior. However, once the object becomes familiar, firing returns to baseline levels. This is at the core of the neurological transition from “initial excitement” to “diminishing interest.”
3.2 Habituation and Sensory Adaptation
The nervous system is optimized to detect change. When a certain input persists, responsiveness decreases (sensory adaptation or habituation).The same applies to objects of interest; the initial strong emotional valence normalizes over time. This phenomenon shares the same roots as the hedonic treadmill (hedonic adaptation). No matter how intense an experience may be, it is pulled back into the realm of “normal” through repetition or the passage of time.
3.3 The Exploration-Exploitation Trade-off (Explore-Exploit)
Humans also face the same structural dilemma as the classic problem in reinforcement learning: should one continue to exploit known good options, or explore unknown ones? From an evolutionary perspective, a balance between the two is necessary, and there is significant individual and situational variation.
- Individuals with a strong exploration bias: They are highly sensitive to new stimuli and exhibit a pronounced tendency to become enthusiastic quickly but lose interest just as easily. This has been suggested to be associated with specific polymorphisms in the DRD4 gene and relatively high dopamine receptor sensitivity.
- Individuals with a strong exploitation bias: They tend to remain with an object they have recognized as valuable for a long time. This overlaps with high levels of conscientiousness and persistence.
Neither strategy is absolutely superior; it depends on environmental variability. In highly variable environments, exploration is advantageous, while in stable environments, exploitation is advantageous.
3.4 The Prefrontal Cortex and the Cost of “Persistence”
Initial interest is triggered relatively bottom-up (with the limbic system and striatum playing a dominant role).On the other hand, maintaining interest over the long term requires top-down control by the prefrontal cortex—reaffirming goals, suppressing distractions, and representing delayed rewards. This control carries a high metabolic cost and is easily compromised by fatigue, stress, or sleep deprivation. As a result, the “persisting through willpower” mode is inherently fragile.
04 The Typical Phases from Enthusiasm to Cooling Off
Although there are individual differences, many objects of interest follow the trajectory described below.
Ignition
Reward predictions surge due to novelty, alignment with the ideal self, social proof, or unresolved mysteries (often a combination). Dopamine and norepinephrine are mobilized, making hyperfocus likely.
Immersion
Rapid improvement in skills or a high density of information maintains prediction error. A state of flow is likely to occur, and quantifiable rewards—such as “losing track of time”—are obtained. This is the stage where subjective well-being is highest.
Saturation and Loss of Differentiation
The learning curve flattens. The frequency of new discoveries decreases, and predictions begin to hold true. At the same time, the opportunity cost calculation—the thought that “there might be something better out there”—begins to surface.
Disengagement or Ritualization
Either a clear cooling-off occurs, or the activity transitions to a state where “it remains as a habit but has low emotional value.” In the latter case, it becomes part of the infrastructure of daily life rather than a source of interest.
05 Why Is This Trend More Pronounced in Modern People?
The evolutionary-old circuitry itself has not changed significantly in tens of thousands of years. What has changed is the statistical structure of the inputs.
| Ancestral Environment | Modern Environment |
|---|---|
| New stimuli were rare and costly | New stimuli are infinite and come at virtually no cost |
| Need to delve deeply into a single skill or relationship | It is possible to sample many subjects superficially |
| Opportunity costs are relatively low | “Better options” are always in view |
| Social feedback is slow and localized | Immediate and global comparison and validation |
As a result, the reward system tends to be calibrated to constantly seek out “the next new thing.”Social media, video streaming, games, and information products are designed to precisely stimulate this circuit (many have a structure similar to variable-ratio reinforcement). In other words, the tendency to get excited quickly but lose interest just as fast is not inherently bad; rather, it is the design of the environment—which overstimulates this tendency—that amplifies the subjective feeling that “I’m the kind of person who can’t stick with things.”
06 Factors Leading to Individual Differences
Not everyone is equally prone to getting excited quickly and losing interest just as fast. This tendency primarily arises at the intersection of the following factors:
- Temperament and Genetic Tendencies: Individual differences in novelty seeking, impulsivity, working memory capacity, and reward sensitivity.
- Developmental History: The stimulating environment during early childhood, patterns of achievement experiences, and conditioning regarding failure.
- Cognitive Style: People with strong abstract and divergent thinking tend to become easily excited by many things but may find it relatively difficult to converge and sustain their focus.
- Strength of connection to self-concept: Objects defined as “part of oneself” are harder to let go of than mere sources of pleasure. Conversely, consumptive or instrumental interests are easier to discard.
- Current physiological state: Sleep, stress, inflammation, and hormonal status significantly modulate reward sensitivity and executive function.
It is more accurate to describe “getting excited easily but losing interest just as quickly” not as a single personality trait, but as a behavior that occurs when the above parameters fall within a specific range.
07 The Logic Behind Conditions Under Which Interest “Endures”
Conversely, objects that retain one’s interest share a common structure. Analytically, this can be summarized as follows:
1. A structure where prediction errors do not dry up
The subject itself is generative and complex; the deeper one delves, the more new, unresolved layers emerge (e.g., specific academic fields, mastery of a musical instrument, the subtleties of interpersonal relationships).
2. Integration into one’s sense of self
“The self engaged in that activity” becomes a crucial chapter in one’s personal narrative. The psychological cost of abandoning it exceeds the mere loss of time.
3. External constraints and feedback loops
Commitments to others, public pledges, and regular social reinforcement compensate for the decline in internal rewards.
4. The Compound Effect of Skill Is Visible
Effort becomes visibly cumulative, and one’s past self is clearly surpassed by one’s present self. This regenerates intrinsic motivation.
Activities that began with a single, intense moment of inspiration or simply because “it looked cool” are highly likely to progress to Phases 3–4 unless they are transformed into one of the forms described above.
08 Comprehensive Insight: The Nature of the Human System
Integrating the elements discussed so far, we can say the following about the human interest system:
Therefore, treating “getting excited easily and losing interest just as quickly” as a matter of morality or character is close to a category mistake. More precisely:
- High sensitivity to reward prediction and novelty detection
- Active calculation of opportunity costs
- Executive function resources for top-down maintenance tend to be relatively insufficient in the face of environmental interference
- Weak or intentionally unchosen processes for anchoring the object to self-identity or external structures
This state can be described as one in which any of these characteristics (often multiple) apply. Furthermore, as long as the information environment remains in its current form, this state is not the kind that will “resolve” itself without special intervention—because it is the default mode of operation.
On the other hand, this trait is not merely a flaw. The same circuitry enables rapid skill acquisition, cross-disciplinary insights, adaptation to environmental changes, and creative combinations. At the group level, people who delve deeply and those who sample broadly and shallowly are even complementary.
In conclusion, the “enthusiasm → cooling off” cycle you are observing is the result of the motivational architecture of the human species functioning normally—albeit at odds with modern expectations—under a flood of novelty.Rather than a generalization that “everyone is like that,” it is more accurate to describe it as a mechanism that “is designed that way.”
Insight: The Seven Types of Boredom and Their Diagnosis
I have decided to repurpose the phrase “I’m bored” as a diagnostic tool. Identifying which type is causing the slowdown changes the approach.If it’s information saturation, add constraints to throw off predictions; if it’s growth stagnation, increase the granularity of measurement; if it’s a mismatch in abilities, adjust the difficulty level by one notch. If it’s a loss of purpose, rephrase it into words; if it’s a failure to transition rewards, add alternative rewards such as a sense of belonging or self-expression. If it’s fatigue, step away; if opportunity costs are skyrocketing, temporarily close the window of comparison.I wrote the seven types in small letters in the margins of my planner and started circling them on days when I felt my enthusiasm waning. Once the type becomes clear, boredom is no longer a judgment on my character but a blueprint for the next step. I view this as a small diagnostic tool to redirect my finite attention back to my own questions.
Summary: Redesigning Passion
So far, we’ve examined four perspectives side by side: viewing interest as a state of resource allocation; a reversal grounded in decay; an explanation of compression through predictive coding; and the dynamic estimation of expected value and the classification of boredom. Although the terminology differs, each approach addresses the same question: how to allocate finite time and attention.
I would like to understand the persistence of “heat” not as the ability to preserve the same sense of exhilaration, but as the ability to transform reward structures. The turning point lies in whether, after the initial novelty or the sense of progress has faded, one can shift to other rewards such as mastery, expression, contribution, belonging, or self-identity.The exploration space must not be exhausted; the activity must be embedded in society; it must be connected to other goals as a means to an end; the cost of execution must decrease so that it becomes a habit; and it must be tied to one’s identity. When any combination of these conditions is met, passion persists in a transformed form.
For my part, I’ve decided to experiment with small-scale adjustments to the system’s design: increasing the granularity of measurement to capture minute progress; keeping records of lulls to lower the cost of returning to the activity; adding small constraints that throw predictions off; closing the window for comparison to curb the inflation of opportunity costs; and making one additional commitment to others to create an external constraint.None of these require major resolve; they are simply small mechanisms.From the perspective of how to use our finite lives, continuing and walking away are both decisions regarding resource allocation. Rather than viewing walking away as a negative, I feel it’s important to integrate the information gained through exploration and carry it forward to the next step. I’ve also realized that a portfolio-like approach—pursuing multiple interests in parallel and shifting resources toward those with the highest momentum—suits me well.
From now on, I will treat the phrase “quick to get excited, quick to lose interest” as a specification. If it’s a specification, I can design for it. I’ll choose which rewards keep me going, discern which types of boredom are setting in, walk away when necessary, and return when necessary. Including that back-and-forth, redirecting my attention toward my own questions is the attitude I wish to adopt as “Mindset Design.”

Comment