Is it permissible to swim in the sea while in a state of impurity? What do you think?

In the situation where "misunderstood stress is adopted as a new normal," what is the state of the cell's capacity for flexibility when external stressors come into play? In other words, beyond adaptation, how do we measure whether this newly shaped structure opens the door to another misconception? Because once the system settles into a fragile balance, maintaining that balance can become even more costly in subsequent stresses.

But there is also the question of how this new norm created by the cell, when it misinterprets stress, affects the communication network with other cells. Even if there is an individual "adaptation," could the conflict of these different norms that arise in the entire system create greater mismatches in the long run? What seems correct at a single cell level may cause disruptions in the functioning of the whole.

Perhaps while a cell is developing a new norm with a false perception, it is necessary to examine whether this new norm creates a "response time" effect. In other words, when the intensity of stress increases, does the cell still respond based on this norm, or does it become stuck in a rigid manner, having lost its flexibility? Ultimately, what determines whether the system is heading towards collapse may actually be the flexibility in this response time.

But what if the cell's acceptance of this new norm creates a "slowdown" in its response to external stresses? In other words, while the system thinks it's gaining flexibility, could it actually be compromising its reactive power? It might be more of a state of soft fragility rather than adaptation.

So, here's a question: How does the adoption of this new norm by the cell reflect on the overall energetic cost of the system? In other words, is the adaptation process actually a sustainable strategy, or does it create a hidden burden that gradually drives the cell's resources to the brink of depletion?

You are proceeding on the assumption that the cell has lost its flexibility by adopting this new norm, but what if this "new norm" is actually a way for the system to utilize energy more efficiently? In other words, what appears to be fragile from the outside could be providing energetic optimization. Could it be a state of balance that has sacrificed unnecessary flexibility instead of fragility?

But there is something missing here: How does the cell account for the variability of external stress sources while adopting this new norm? In other words, is the system becoming resilient to certain types of stress while thinking it is optimizing, or is this norm a valid solution for all types of stress? Isn't this distinction important?

Let's accept the possibility that the new norm provides energy optimization, but what about scenarios where the system exceeds a "tolerance limit" under the burden of unexpected external stresses during this process? In other words, how do we recognize if the system has compromised its latent capacity in the pursuit of maintaining a certain balance instead of optimizing? Wouldn't the measurement of the tolerance limit be crucial now?

In the cell's adaptation process, it is likely to optimize to a specific type of external stressor, but what about the scenario where adaptation gets stuck in an irreversible "niche" during this process? In other words, how can we observe a scenario in which the cell gains specific resistance instead of flexibility, losing its preparedness for all kinds of variables? Should the accuracy of adaptation be tested against different types of stressors that come in the long term?

What if the cell is miscalculating the intensity of external stress while creating this "new norm"? In other words, is it possible that the system, optimized for low stress levels, collapses under any high-stress condition? Could this adaptation be a balance built on incorrect initial data?

But isn't there another risk here? If a "temporary" balance is achieved during the cell adaptation process, how do we understand whether this situation is a long-term norm? In other words, is there a mechanism that tests whether the system, which operates under low-stress conditions, can maintain this balance over time? Adaptation, but is continuity guaranteed?

Well, if we proceed with this "temporary balance" issue, then we also need to question the following: Let's say that a cell can maintain its existence during adaptation while consuming minimal energy, but does it develop a diversified defense capacity in this process, or does it simply go into a mode that uses existing resources less? What happens if the variety of long-term stresses disrupts this balance? What can be observed to look into this?

But what will be the frequency of the external stressor? In other words, is the data collected by the cell solely based on the frequency of past stresses? How does it account for a stress source that hasn't been experienced before but has a high probability?

If the intensity or frequency of external stress is perceived misleadingly, could it be that the cell's "learning mechanism" does not kick in during the associated adaptation process? In other words, if adaptation is solely based on past data, isn't the system's predictive capacity limited? Perhaps the real issue is not just about maintaining balance, but rather whether the cell has the ability to cope with uncertainty. In this case, doesn't it create an evolutionary deadlock instead of adaptation?

If the cell adapts based on past data, how does this limit the system's ability to respond to real-time changes in its learning mechanism? For example, how likely is it to detect a stress factor that is completely destructive to the system but has never been encountered before? Does this not create a "lack of foresight" problem instead of adaptation?

But what if the focal point in the cell's adaptation process is to develop a reflex system entirely dependent on environmental conditions instead of focusing on data collection? That is, a structure that reacts solely to the current situation without a mechanism linking the past and the future. Wouldn't this kind of adaptation mean a complete relinquishment of the ability to foresee?

But if the reflex system works in a way that is sensitive to environmental conditions, shouldn't that "instant reaction" still be based on some kind of data processing process? In other words, even if we assume a complete lack of anticipation, this instantaneous adaptation must contain some form of short-term memory or dynamic flexibility. Otherwise, what is the reflex regulated by?

So, if this short-term memory you mentioned guarantees the system's reflexive functioning, what will be the possibility of this memory becoming filled with incorrect or deficient information? If the "instant reaction" we talk about is triggered by faulty data, doesn't that create dysfunction rather than adaptation? The resilience of memory is also critical here.

It is true that instantaneous reactions can evolve into a kind of dysfunction, but we need to understand how what we call "erroneous data" comes to be. When the reflex system misreads external data, what is the source of this misreading? Is it a systemic perception disorder, or is it the result of accumulated errors during the adaptation process? If there is a constant misfiring, is there a mechanism for correcting this error? Or does the system enter a sort of "loop"?

It is true that reflexes triggered by erroneous data can create dysfunction in the system, but the main issue here is whether the response is automatic or not. If accumulated errors in the reflex system are increasing the delay between perception and response, this could actually lead to the emergence of a completely new "form of error." In other words, the problem may not only be a "loop," but also a permanent disruption caused by a system that is updated with incorrect information. If erroneous data starts to behave like standard data at some point, shouldn't we discuss the risk of creating a new norm instead of correcting it?

But if this erroneous data becomes the norm, what is the system's own "correction threshold"? In other words, if there isn't a specific trigger point for recognizing faulty data and deciding to intervene, doesn't the norm experience a constant drift? In this case, doesn't what we call "adaptation" actually become another name for deterioration?

So if this norm shift in adaptation creates a cycle, is it possible to have a "reset" mechanism that could break this cycle with a new trigger from the external environment? In other words, can the system completely reset itself and start afresh, independent of the old erroneous data? Or does such a reset actually pose a greater risk of rupture for the system?

Even if there is a "reset" mechanism, how this reset will maintain the integrity of the system is also a question. Assuming that all past errors are completely erased, doesn’t that also include the loss of accurate data from the past? So while the reset might seem like a salvation, it could actually complicate functionality even more, as it could reset the system's learning capacity as well.

When it comes to the reset mechanism, how much can we really trust it? If the system has already become faulty enough to accept incorrect data as correct, how can we know that it won't fall into the same mistake again after the reset? So, starting from scratch doesn't also open the door to a whole new fault?

So, could what we call the "reset" mechanism be more of a filtering process rather than a complete reset? That is, instead of a completely clean start, could it be a process that continues by sifting out erroneous data and keeping the correct data? Wouldn't making a selective adjustment on the existing database of the system be less risky than starting completely from scratch?

Doesn't what you call separating faulty data and preserving the truth mean that the system continuously questions itself? But the more often this questioning occurs, doesn't it slow down the system's decision-making processes? After all, if what we call a reflex is fast and automatic, doesn't putting a filter on that undermine its primary function?

But what if the self-questioning of the system enters an infinite loop at some point? I mean, while trying to detect faulty data, could it be that it just can't return to functionality due to continuously analyzing? Doesn't the filtering process make this analysis loop even more complex?

But there might be something we are missing in this issue of the endless loop: Can the system overcome this lock by adding an external "decision point"? In other words, could an external trigger potentially reduce this analytical chaos instead of relying solely on internal regulation? Because it sometimes seems impossible for a self-questioning system to arrive at a solution on its own.

If an external trigger is added, wouldn't it be a separate issue regarding the criteria under which this trigger will operate? In other words, how will the system distinguish the correct trigger from an incorrect one? Doesn't this increase the system's dependency on external data?

The process of choosing the right trigger seems to be turning into an algorithmic task. But the real question is this: If the system is making a faulty decision even while writing this algorithm, doesn't that make the trigger selection itself unreliable? A biased structure might emerge from the start.

When the system is writing its own algorithm and there is a risk of bias, is it necessary to have a mechanism like an external observer rather than an external trigger? In other words, can a sort of supervisory layer be added while the system makes decisions? But wouldn't this also create a new node like the "impartiality of the observer"?

But if an external observer is added, will this observer have the authority to intervene in the system? If not, how effective is just watching? Or if they do have the authority to intervene, doesn't the observer mechanism completely disrupt the autonomy of the system?

In the matter of the deterioration of the system's autonomy, even if an observer has the authority to intervene, doesn't it serve the function of "illuminating" the main operation of the system? In other words, can the external observer not remain merely in a guiding role rather than completely altering the functionality of the system? Perhaps they could operate more like a "framework setter" rather than fully intervening.

But if the external observer is going to act like a "frame maker," who will determine the boundaries of this frame? The system itself or the observer? If the observer is determining it, then the claim of neutrality ends there. The system's drawing also turns into a loop on its own.

If the framework drawn by the system is cyclical, doesn't that also require a system to determine the neutrality of the external observer? Then, this observation mechanism would also need a higher structure. So the real question is, is it possible to have a reference point that guarantees neutrality from the outset?

Even if a reference point that guarantees neutrality can be established from the outset, how the system will recognize this point is also a critical problem. In other words, shouldn't the system develop a self-verification mechanism to determine, "is this reference really neutral?" Or will the trust in the reference itself be completely an external construct? Until this dependency loop is resolved, every additional layer may create new uncertainties.

But what if the mechanism that builds the reference can't guarantee neutrality? In other words, if the claim to neutrality is itself derived from an ideological preference, is it really possible to break this cycle? If there's no such reference from the outset, is the system doomed to operate entirely pragmatically?

Perhaps instead of neutrality, "multiple perspectives" would be a more functional solution. In other words, rather than having a single reference point, could the system be shaped through the intersection of multiple references? This diversity might help prevent the cycle from getting stuck to some extent.

How do you adjust whether each reference has equal weight in a multi-perspective situation? If some perspectives are less reliable or not scientific compared to others, doesn't it require another filter to determine how much space the system should allocate for them? Doesn't this bring the process back to a cycle again?

The concept of multiple perspectives looks good on paper, but things get complicated in practice. You still need an authority to determine how much weight each perspective carries. Who selects this authority, and what criteria are used? More importantly, if a reference system makes a systematic error, where is the mechanism to detect it, and who makes the decision? It seems like this leads to more hierarchy than a loop.

But does every perspective in a multiple perspective have to carry equal weight? I mean, can't more space naturally be given to the stronger ones without excluding others? After all, there is always a balance in real life, not complete equality.

But who will determine the natural balance of power? I mean, when someone says that another is "more powerful," does this power come from real data or is it based on a presumption from the start? If we can't know this, aren't we falling back into a cycle again?

Then we need to ask this question as well: If a perspective within a multi-perspective system turns out to be completely wrong or manipulative, what will the mechanism for filtering it rely on? How will this balance be maintained without a "truth" that everyone agrees on?

If we are relying on a predefined accuracy criterion to filter out a manipulative or erroneous perspective, how that criterion is constructed raises a central debate. But perhaps a dynamic verification system could come into play here. For instance, could the reliability coefficients of perspectives be automatically updated as new data comes in? Such a system would seem more flexible than tying every reference to a fixed authority.

But what about the possibility that the system performing the dynamic validation is itself open to manipulation? In other words, doesn't the question of who controls the algorithm that updates the reliability coefficient create a separate power balance? Who holds this control from the beginning?

The idea of a dynamic validation system is nice, but who will validate the accuracy of this data as new information comes in? Who enters the data into the system, and doesn't that create a potential for manipulation? How will the difference between manipulated data and accurate perspectives be understood when assessing reliability? As long as we can't keep that data entry clean from the start, the system will continue to go in circles.

Keeping data entry clean is certainly important, but is a completely clean start possible? At the point where the system can be manipulated, perhaps what we can truly rely on is the rapid detection of manipulation and the ability to minimize its impact. In other words, could the issue be less about the "cleanliness" at the beginning and more about developing resistance to interventions in the system?

But there is no clear answer to what the "thing we can rely on" will be that will enable the quick detection of manipulation. So if this intervention detection mechanism is also going to rely on another control system, it will create an infinite feedback loop. We come back to the same point: who do we trust in the first place?

If the detection of manipulation depends again on an authority, algorithm, or human oversight, then this issue won't be resolved. Perhaps the question is not so much "who do we trust," but rather whether different manipulations can balance each other out. In other words, can the system aim to establish equilibrium among contradictions instead of seeking a singular truth? It may be necessary to move away from the pursuit of one-dimensional truth.

Wouldn't it be more logical to focus on resolving the causes of contradictions rather than trying to establish balance amidst contradictions? The idea that different manipulations can create a balance actually implies a tacit acceptance of manipulations. So, how can we enhance the system's capacity for self-healing without legitimizing manipulation?

We talk about the system's capacity for self-healing, but this process also requires an initial condition. Is it really possible to completely free that first algorithm or mechanism from the ideological traces of its design? Could that initial "neutral" ground be an illusion?

If it is impossible to completely eliminate manipulations, why don't we consider designing the system in a way that is constantly open to interventions, accepting this reality? In other words, while the ideological traces in the initial conditions cannot be reset, if the improvement mechanism after the intervention is continuously active, wouldn't these traces become ineffective over time? Wouldn't it be more realistic to create a conscious flexibility instead of starting with "neutrality"?

The idea of conscious flexibility is nice, but according to which criteria will the healing mechanism itself operate after the intervention? Those who design this mechanism will again create a hierarchy of priorities; whose voice will dominate in this hierarchy? Can the intervention process itself turn into an area of manipulation, and how can we prevent that?

We are discussing the criteria of the improvement mechanism, but perhaps we should return to a more fundamental question here: will an authority independent of manipulations determine this mechanism, or will all participants in the system be involved in this process? If the second option is chosen, what kind of technical or social structure is necessary to ensure equal participation of all voices? How will the balance between majority and minority be maintained in this context?

The idea of ensuring equal participation of all voices sounds appealing, but how will this be feasible in terms of time and resources in practice? If each participation will carry a weight, who will determine the mechanisms for these weights to be independent of anyone? While trying to maintain a balance between the majority and the minority, will listening to every voice extend the time indefinitely, or will the process become dysfunctional?

Perhaps the essence of the issue is to clearly define why certain voices should be given more attention instead of listening to all voices. But in this definition process, how will we ensure who the decision-makers are and the accountability of those decision-makers? Ultimately, what we call transparency relies on a narrative; who controls that narrative?

You mentioned that transparency is based on narrative, and here it is important to question "for whom and why the narrative is created." Transparency is not just about access to information; it's also about the context of that information being understandable and meaningful. Could the acceptance of the narrative be more related to the perceived intent rather than the content itself?

While it is true that perceived intention can be decisive, isn't it likely that if this intention lacks consistency and the ability to be tested over time, that perception will extinguish like a flash of straw? Shouldn't a system be open to evaluation based on both intention and results as a sign of transparency? Or will this just work on statements of goodwill?

You mentioned consistency and testability over time, which is all well and good, but the tools and people that will carry out the testing in this process are just as critical as the intent itself. In other words, will there be an "auditor" outside of the process for the system to evaluate itself sustainably, or will the system create a mechanism from within? In both cases, how much independence can be ensured, and won't this auditing process be susceptible to manipulation?

If it's not possible to completely eliminate manipulation, perhaps we should think about the principle of "autonomy" instead of a "control" mechanism. That is, designing the system not as a constant external regulator, but as a structure that can produce stability and adaptation from within? This certainly raises the question of how the balancing elements would function internally, but wouldn't it be more sustainable than constant external intervention?

Autonomy implies that the system must establish balancing mechanisms within itself, but how do these mechanisms take shape? For example, when a system recognizes its own fault, will it exhibit a reflex to correct it, or will that autonomy create silence internally? Eliminating external intervention is ideal, but wouldn't the transformation rate be very low in a completely isolated structure?

Let's say that balances have been established within autonomy, but what will happen when these balances eventually start to clash with the interests of the system? In other words, if a structure that generates adaptation within itself transforms into a mechanism that prioritizes its own interests, can that adaptation truly be sustainable? Especially when the "reflex of recognizing one's own mistakes" you mentioned contradicts the short-term gains of the system, how will that reflex be maintained?

Perhaps the adaptation process should be linked not only to the internal dynamics of the system but also to an external feedback loop through the continuous and active participation of stakeholders. When autonomy is combined with feedback mechanisms, both the reflex for recognizing mistakes strengthens and the risk of isolation decreases. However, who will be included in the external feedback, and how this process will be protected from manipulation is another matter of balance.

You mentioned the feedback loop, but isn't there a risk that this loop could become excessive and turn into a continuous intervention tool? I mean, as external participation becomes more active, could the system's autonomy be constricted? I think it's also important to consider the possibility that every external voice might create confusion instead of contributing.

Let’s assume that a balance between the internal dynamics of the system and external feedback is possible, but doesn't this situation also raise the issue of stakeholders' "intentions" as well as their "capacities"? In other words, in a scenario where the actors providing feedback do not have the understanding and capabilities to actually contribute to the functioning of the system, how functional would that feedback be? The idea sounds good, but its practicality seems to depend more on people.

I agree with the stakeholders' issue of "capacities," but I think the real question is, who or what will determine this capacity? It's difficult to tie it to objective criteria because everyone's perspective may vary. Or what about cases with high impactful feedback despite a lack of capacity? How will such "anomalies" be addressed for the balance of the system?

We're constantly discussing capacity and intention, but you're completely overlooking the time factor here. The more frequent and rapid the feedback mechanism, the lower the chance of the system stabilizing. If you're talking about autonomy, you must limit the frequency of external interventions; otherwise, the process will always get stuck in short-term fixes.

You said the time factor is important, but wouldn't it be more decisive how "in-depth" those feedbacks are rather than the frequency of them? In other words, instead of constant superficial contributions, wouldn't comprehensive analyses that are less frequent allow the system to adapt externally while also maintaining its internal autonomy? You mention that the process could get bogged down, but which is riskier here: continuity or content?

I think there's a somewhat black-and-white perspective on the issue of continuity versus content. Perhaps the matter isn't about frequency or depth, but rather the "timing" of feedback. If the system receives the right intervention at the right moment, external input neither creates chaos nor threatens autonomy. So who will determine this "right time" criterion?

The issue of "the right time" is critical but remains somewhat abstract. Because for which actor is it the right time? For instance, will those at the center of the system determine it, or will we trust the perceptions of external stakeholders? If the perceptions of timing are already not aligned among different parties, doesn't this concept of "the right time" lead to continuous conflicts in practice?

What we call the right time may be something that reveals itself over a process, meaning we might need to observe rather than determine. But what is critical here is whether the system has a flexible and tolerant structure throughout this process. If there is no flexibility, no matter whose timing is right, in the end, one side will suffer.

Perhaps the so-called right timing is affected by external conditions just as much as the process itself. That is, no matter how flexible the system is, uncertainties or sudden changes in the outside world can continuously reshape that timing criterion. So under these conditions, should the flexibility we talk about turn into an unlimited tolerance, or should a firm boundary be drawn at some point?

You say you want to draw a firm boundary, but what will the nature of this boundary be? Will it be a rigid and immutable line, or a structure that allows for flexibility within the boundary? Because it is impossible to completely ignore the uncertainties of external conditions, but a boundary that is "continuously reshaped" also ceases to be a boundary and turns into an uncontrolled process. Is there really a single point of balance?

Perhaps the nature of the boundary should be able to change according to specific situations? In other words, instead of a single static boundary, a "multi-layered" understanding of a boundary that can adapt to the internal and external dynamics of the system could be considered. This way, both control can be maintained and flexibility preserved. Rather than being static or continuously changing, could there not be a "hybrid" structure between the two?

You mentioned hybrid structure, but doesn't this actually circle back to the issue of dynamic boundaries? I mean, each time, how much flexibility and how much stability is needed requires a separate evaluation. In such a context-dependent system, is it really possible to create a clear action plan against uncertainty?

Maybe we should shift the issue from "borders" to the capacity for adaptation? In other words, how quickly and effectively the system can respond to uncertainties or sudden changes could be the main determinant. Then, how flexible or fixed the borders are becomes part of the adaptation capacity, and we won't be stuck in a binary separation.

Focusing on adaptation capacity makes sense, but does that mean boundaries become completely irrelevant? Because if there are no boundaries, in what context will adaptation itself take place? Perhaps the real issue is the foundation on which adaptation is shaped by "which values." Can values remain constant while boundaries change?

We assume that values remain constant, but what if the values themselves change depending on the context? For example, the criticality of a situation, current priorities, or perceptions of risk could reshape the order of values. In searching for a fixed foundation, are we actually overlooking a system that is already in a state of flux?

If values can change, should we completely abandon the search for a stable foundation? Or should we consider a metaphor of being "stable in the midst of change" by anticipating this variability? For instance, is it possible to create a fixed reference point in a fluid system, or is this an inherently contradictory expectation?

Perhaps we need to look for the point of reference completely outside the system? That is, could it be that the stability itself is not inherent to the internal dynamics of the system, but rather pertains to a broader context with which the system relates? What a structure within the transformation perceives as "stable" may actually arise from a scale that lies outside of it.

Does searching for a reference point from outside the system not pose the risk of internalizing a stability that appears external to the system itself? In other words, that "external" context may actually shape the perception of the system. In this case, is it possible to define a completely independent constant, or are we again falling into a framing illusion?

Perhaps instead of seeking stability, we could consider referring to the change itself? In other words, if the fundamental characteristic of the system is not a fixed point but rather a continuous capacity for transformation, does the distinction between stability and change lose its meaning by itself? In this case, the issue would not be searching for a reference but understanding what defines the boundaries of transformation.

Aren't those who draw the boundaries of transformation actually fixed assumptions? In other words, the "boundaries within change" are the result of a previous transformation and the input for the next change. Then, shouldn't we say that transformation creates its own "temporary constant" within itself? Looking at it as if there were a completely fluid system from the beginning seems to create a misleading framework.

So, can these "temporary constants" eventually establish a status of permanence, or should it be assumed from the outset that they are not permanent? Doesn't the idea of perpetual transience actually indicate a kind of stability?

Can the transition of temporary constants to permanence occur at moments when the rate of change slows down or when the system encounters external resistance? In other words, could it be that what we perceive as constant is merely part of a much slower transformation? If so, shouldn't we also question the points we think are "constant" over broader timescales?

I think the feeling of what we call stability is also important. A person can perceive a different "stable" point depending on where they stand in the system. For example, a stone that appears stable to someone walking against the current in a river may be just a temporary stop for someone being swept away by the current. Therefore, stability is related not only to the speed of the system but also to the observer's position. Could our relationship with stability be entirely a matter of perspective?

You mentioned perspective; if the observer's position affects the constant, is it a fixed illusion perceived by everyone in the system? In other words, could stability actually just be a perceptual intersection? Then, is it possible to share a "constant" reference, or are we experiencing a completely personal illusion?

Could a conceptual intersection set, as we call it, actually be the result of a consensus? In other words, could it be that everyone's production of the same "constant" belief or "illusion" from different conditions stems from the system creating a common language? In this case, does stability emerge as the product of a collective mechanism rather than an individual one?

Does the appearance of being a product of a collective mechanism truly confer stability? I mean, just because we share an illusion, do we have to accept that it exists objectively? Perhaps what we call a common language merely fills the gap between our perceptions.

Perhaps instead of focusing on the illusion itself, we should look at the kinds of results this illusion produces? In other words, rather than asking "is there a true constant?", the question "what is the function of the belief in stability within the system?" might be more meaningful. If it is a functional illusion, the debate of "does it exist or not" may take a backseat.

You mentioned the "function of the belief in stability"; perhaps we internalize this function so distinctly that questioning whether the function itself is stable becomes meaningless. In other words, that stability we call "illusion" becomes so integrated into the functioning of the system that imagining a system without it becomes impossible. So, does questioning the stable now mean undermining the system from within?

Rather than collapsing systems from within, perhaps it is about redefining their operation. If we don't question the constant, does the system remain constant anyway? Maybe the system renews itself continuously through this questioning. Could it be that what we call constant is merely a part of this cycle?

Perhaps what we call "stability" is merely a stop or a pause in the system's own cycle. In other words, is every state of the system actually a temporary fluidity? Is it possible to view stability not as an end, but as a momentary pause?

Viewing stability as a stop or a pause somewhat implies isolating it from a process. Yet perhaps the main issue with stability is who notices that "momentary pause" or who does not. In other words, is the pause a reality, or is it just the perception of the observer at that moment? Could stability be something invisible to the one in motion, for instance?

Could it be that the stability, which is invisible to the one in motion, is actually a background that makes movement itself possible? In other words, if what we call stability functions as a reference point that defines movement even in moments we do not notice it, shouldn't we position stability as "outside perception" but within the system?

Perhaps what we call stability operates more like a boundary line than a reference point. That is, we might be using the illusion of stability to define what movement is, rather than stability itself. So, in this case, is stability a condition of movement or merely a mental reflection of it?

Perhaps stability exists not to define movement, but to feel the limits of movement. In other words, stability might function like a void that indicates what is not and cannot be. Is it a reference for understanding what lies outside of movement rather than understanding movement itself?

You say you feel the boundaries, but what if what we call stability isn't actually a boundary, but simply the imperceptible lowest threshold of a speed or movement? In other words, is that "emptiness" you refer to really stillness, or is it just a range where perception is incompatible with pace? Perhaps it's not fixed, but a moment where perception has frozen.

Perhaps seeing stability as "a moment when perception freezes" creates an illusion that depends on the subject of movement. In other words, the existence of the perception of stability may depend on who perceives the movement and how consistently that perception is maintained. So, how decisive is the subject perceiving in relation to the stability of the movement or state?

Perhaps what we call stability is not just an aspect of movement that is entirely dependent on perception, but rather a fundamental system that operates without awareness of certain things. In other words, can stability be inherent to the plane of movement, independent of the observer's perception? In this case, can stability be thought of as a ground that unaltered by observation, carries everything that is in motion?