Kimi K3

Closest matchClaude Fable 5
Blend score64.5%

Circular relationship tree

GPT 4.1 Nano Qwen3 30B A3B Gemini 2.5 Flash Lite GPT OSS 20B Mistral Nemo Gemma 3 4B IT Grok 4 Fast GPT 4o Mini GLM 4.6 Llama 4 Scout Claude Fable 5 Kimi K3 Claude Opus 4.8 Claude Sonnet 5 Inkling Grok 4.5 Gemini 3.1 Pro GLM 5.2 DeepSeek V4 Pro GPT 5.6 Sol

Similar models

  1. 01Claude Fable 564.5%
  2. 02Claude Opus 4.855.0%
  3. 03Claude Sonnet 551.9%
  4. 04DeepSeek V4 Pro49.7%
  5. 05GLM 5.248.4%
  6. 06Grok 4.548.0%
  7. 07Inkling46.8%
  8. 08Gemini 3.1 Pro44.8%
  9. 09GPT 5.6 Sol44.2%
  10. 10Llama 4 Scout5.9%
  11. 11GPT 4o Mini3.3%
  12. 12Gemma 3 4B IT3.2%
  13. 13Qwen3 30B A3B3.0%
  14. 14GPT 4.1 Nano2.9%
  15. 15Gemini 2.5 Flash Lite2.4%
  16. 16Mistral Nemo1.9%
  17. 17GLM 4.61.7%
  18. 18GPT OSS 20B1.6%
  19. 19Grok 4 Fast0.8%

Head to head

Kimi K3Kimi · 100 outputs
vs
Claude Opus 4.8Claude · 100 outputs
View Claude Opus 4.8 profile
Blend score55.0%
406 onlyKimi K3994 shared406 onlyClaude Opus 4.8

Kimi K3only406

  1. much of theessays · 3-gram14×
  2. far more thanessays · 3-gram14×
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  4. it is theessays · 3-gram11×
  5. the history ofessays · 3-gram10×
  6. the center ofessays · 3-gram9×
  7. the foundation ofessays · 3-gram9×
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  10. of their ownessays · 3-gram9×
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  24. to understand theessays · 3-gram7×
  25. is likely toessays · 3-gram8×
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Shared994

  1. one of theessays · 3-gram96×124×
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  18. in this wayessays · 3-gram11×22×
  19. perhaps the mostessays · 3-gram11×11×
  20. serves as theessays · 3-gram11×11×
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  22. each of theseessays · 3-gram10×10×
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  400. afteressays · word39×22×
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  411. unitedessays · word57×55×
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  418. increasinglyessays · word37×57×
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  994. culturesessays · word13×13×

Claude Opus 4.8only406

  1. can lead toessays · 3-gram20×
  2. the development ofessays · 3-gram22×
  3. nature of theessays · 3-gram16×
  4. a range ofessays · 3-gram15×
  5. this way theessays · 3-gram15×
  6. the effectiveness ofessays · 3-gram15×
  7. to ensure thatessays · 3-gram15×
  8. the establishment ofessays · 3-gram17×
  9. the needs ofessays · 3-gram15×
  10. a wide rangeessays · 3-gram14×
  11. wide range ofessays · 3-gram14×
  12. in an increasinglyessays · 3-gram13×
  13. testament to theessays · 3-gram12×
  14. its ability toessays · 3-gram12×
  15. the principles ofessays · 3-gram12×
  16. a variety ofessays · 3-gram11×
  17. ensuring that theessays · 3-gram11×
  18. a cornerstone ofessays · 3-gram10×
  19. its capacity toessays · 3-gram10×
  20. the other handessays · 3-gram10×
  21. the choice ofessays · 3-gram12×
  22. the well beingessays · 3-gram12×
  23. an environment whereessays · 3-gram11×
  24. they are moreessays · 3-gram11×
  25. in ways thatessays · 3-gram10×
  26. better positioned toessays · 3-gram9×
  27. for example aessays · 3-gram9×
  28. in addition toessays · 3-gram9×
  29. the risk ofessays · 3-gram9×
  30. of the company'sessays · 3-gram15×
  31. the company toessays · 3-gram14×
  32. the implementation ofessays · 3-gram11×
  33. of those whoessays · 3-gram10×
  34. the field ofessays · 3-gram10×
  35. well being ofessays · 3-gram10×
  36. a means ofessays · 3-gram8×
  37. conclusion in conclusionessays · 3-gram8×
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  39. serve as aessays · 3-gram8×
  40. the intersection ofessays · 3-gram8×
  41. the limitations ofessays · 3-gram8×
  42. the lives ofessays · 3-gram8×
  43. the strength ofessays · 3-gram8×
  44. to protect theessays · 3-gram8×
  45. of the humanessays · 3-gram15×
  46. according to theessays · 3-gram9×
  47. itself as aessays · 3-gram9×
  48. the application ofessays · 3-gram9×
  49. the growth ofessays · 3-gram9×
  50. the organization andessays · 3-gram9×
  51. the potential foressays · 3-gram9×
  52. economies of scaleessays · 3-gram8×
  53. framework for understandingessays · 3-gram8×
  54. that can beessays · 3-gram8×
  55. the ability ofessays · 3-gram8×
  56. the challenge ofessays · 3-gram8×
  57. a crucial roleessays · 3-gram7×
  58. a degree ofessays · 3-gram7×
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  60. a willingness toessays · 3-gram7×
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  62. and that theessays · 3-gram7×
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  65. cannot be overstatedessays · 3-gram7×
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  67. heart of theessays · 3-gram7×
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  76. the foundation foressays · 3-gram7×
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  78. the necessity ofessays · 3-gram7×
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  85. of the organizationessays · 3-gram8×
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  87. a company thatessays · 3-gram7×
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  91. more just andessays · 3-gram7×
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  100. a foundation foressays · 3-gram6×
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  110. sense ofessays · 2-gram47×
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  112. understanding ofessays · 2-gram38×
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  114. heart ofessays · 2-gram28×
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  128. this wayessays · 2-gram22×
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  140. able toessays · 2-gram30×
  141. needs ofessays · 2-gram29×
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  144. growth andessays · 2-gram22×
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  147. essential toessays · 2-gram21×
  148. serve asessays · 2-gram21×
  149. is oneessays · 2-gram20×
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  156. one thatessays · 2-gram22×
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Same prompt, two outputs

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Input prompt

Write the original essay for the following summary: Human multitasking can be described as a characteristic that stands for people being capable of completing more than one task at the same time. Even though it derives from computer-based multitasking, it is different because human contexts tend to switch more often than their digital counterparts. Accordingly, insufficient attention causes humans to lose focus and spend more time instead ( The ability to train to multitask is a relevant research question that is addressed to help humans improve coordination and avoid interruptions.

Document similarity9.4%
Kimi K31,055 words
# The Myth and Mechanics of Human Multitasking In an era defined by constant connectivity, the ability to juggle several activities at once has become a celebrated hallmark of productivity. Employees answer emails during meetings, students scroll through social media while listening to lectures, and drivers negotiate traffic while conversing with passengers. This behavior is commonly labeled "multitasking," a term borrowed from computer science that describes the apparent capacity to complete more than one task at the same time. Yet despite the widespread use of the word, human multitasking is fundamentally different from the digital process that inspired it. Unlike machines, people do not truly execute tasks in parallel; instead, they switch rapidly between contexts, and this switching carries significant cognitive costs. Understanding the nature of human multitasking—its origins, its limitations, and its potential for improvement through training—is therefore essential for anyone seeking to work efficiently in a distracted world. The concept of multitasking originated in the world of computing, where it refers to an operating system's ability to run multiple processes concurrently. Early computers could handle only one instruction at a time, but advances in processing power allowed machines to allocate resources across several programs, creating the illusion—or in the case of multi-core processors, the reality—of simultaneous execution. When psychologists and popular writers adopted the term to describe human behavior, they imported an assumption that has proven misleading: that the human brain, like a computer, can divide its resources cleanly among competing demands. In reality, the brain's architecture imposes strict bottlenecks on attention. While a computer distributes tasks across independent processing units, the human mind relies on a single, limited channel of conscious focus, making true parallel processing of complex tasks virtually impossible. What humans actually do when they "multitask" is switch rapidly between activities, a process researchers call task-switching or context-switching. Remarkably, human contexts tend to switch far more often than their digital counterparts. A computer might alternate between processes according to predictable algorithms and stable priorities, but a person may shift attention every few seconds in response to notifications, stray thoughts, environmental stimuli, or internal impulses. Studies of workplace behavior have found that knowledge workers change tasks every few minutes on average, and once interrupted, they may take considerable time to return to their original activity. This frenetic switching distinguishes human multitasking from machine multitasking not merely in degree but in kind: where computers switch efficiently and without loss, humans pay a toll with every transition. That toll is exacted primarily through attention, the cognitive resource that multitasking stretches most thinly. When attention is divided or repeatedly redirected, it becomes insufficient to support deep engagement with any single task. Each switch requires the brain to disengage from one set of goals and rules, then load a new set—a process that, though it may take only fractions of a second, accumulates into substantial "switching costs" over the course of a day. Psychologists have demonstrated that people who alternate between tasks take longer to complete them and make more errors than people who finish one task before beginning another. The paradox of multitasking is therefore that it consumes the very resource it promises to save: time. A person who attempts to write a report while monitoring messages may feel busy and productive, yet will typically spend more total time on both activities than if they had addressed them sequentially, all while producing work of lower quality. The consequences extend beyond efficiency. Insufficient attention erodes the depth of thought required for learning, creativity, and sound judgment. When focus is fragmented, information is processed superficially and stored weakly in memory, which helps explain why students who multitask during study sessions often retain less material. Moreover, chronic multitaskers may train themselves into habits of distraction; research on heavy media multitaskers suggests they become more susceptible to irrelevant stimuli and less able to filter out distractions even when they intend to concentrate. Far from becoming skilled jugglers, frequent multitaskers may actually be cultivating a restless, easily diverted mind. These findings raise a compelling research question: can the ability to multitask be trained? If switching between tasks is an inescapable feature of modern life, then improving the speed and smoothness of those transitions would carry enormous practical value. Researchers have approached this question from several angles. Some studies have examined whether practice with dual-task paradigms—such as responding to visual and auditory signals simultaneously—can reduce interference between tasks, and results suggest that certain combinations of activities can indeed become less disruptive with repetition, particularly when one task can be automated. Other investigations have explored whether brain-training programs or action video games enhance general cognitive flexibility, though evidence for broad, transferable improvements remains mixed and contested. Still other work focuses on metacognitive strategies: teaching people to recognize when their attention has drifted, to manage interruptions deliberately, and to structure their environments so that switching occurs at natural breakpoints rather than mid-thought. Perhaps the most promising insight from this line of research is that training may be less about learning to do two things at once and more about learning to coordinate—sequencing tasks intelligently, protecting stretches of uninterrupted focus, and minimizing the frequency of unnecessary switches. Techniques such as time-blocking, batching similar activities, silencing notifications, and establishing clear boundaries between work modes all function as forms of applied training, reshaping habits so that attention is spent wisely rather than scattered. In this sense, the goal of multitasking research is not to transform humans into computers but to help people navigate a computer-saturated environment without sacrificing the qualities—sustained thought, careful judgment, creative insight—that machines cannot replicate. Human multitasking, then, is best understood not as a genuine capacity for simultaneous thought but as a characteristic pattern of rapid, costly switching between tasks. Born from a computing metaphor, the concept misleads when it suggests that minds can parallel-process like processors. In practice, insufficient attention causes people to lose focus and spend more time, not less, on the very tasks they hope to accelerate. Yet the story is not entirely discouraging. By treating multitasking as a skill to be studied and trained—one grounded in coordination, interruption management, and respect for the limits of attention—researchers and individuals alike can mitigate its costs. The future of productivity may depend not on doing more things at once, but on learning, with discipline and self-awareness, when to do only one.
Claude Opus 4.81,022 words
# The Complexity of Human Multitasking Human multitasking can be described as a characteristic that stands for people being capable of completing more than one task at the same time. In an era defined by relentless digital connectivity and increasingly demanding professional environments, the ability to juggle multiple responsibilities simultaneously has come to be regarded as a valuable, even essential, skill. From students who read textbooks while responding to messages to professionals who attend meetings while drafting emails, multitasking has become deeply embedded in daily life. Yet, despite its ubiquity, the phenomenon of human multitasking remains poorly understood and frequently misconceived. Understanding its origins, its distinctions from computer-based multitasking, and the cognitive costs it entails is crucial for anyone seeking to improve their productivity and mental efficiency. ## Origins in Computing The very term "multitasking" originates from the field of computing, where it refers to a system's ability to execute several processes seemingly at the same time. Early computers were capable of running only one program at a time, but as technology advanced, operating systems developed the capacity to manage multiple tasks by rapidly switching between them. This concept was so compelling that it was soon borrowed to describe human behavior. When people speak of multitasking, they often imagine their minds functioning like sophisticated processors, effortlessly handling parallel streams of activity. This metaphor, however, is misleading in important respects, because the human brain does not operate in the same manner as a computer's central processing unit. ## The Distinction Between Human and Digital Multitasking Even though human multitasking derives from computer-based multitasking, it is fundamentally different because human contexts tend to switch more often than their digital counterparts. A computer, when managing multiple processes, allocates resources in a systematic and controlled fashion, following precise algorithms designed to optimize performance. Its switching between tasks is engineered to minimize delays and maximize efficiency. Humans, by contrast, switch between tasks in a far less orderly way. Our attention is subject to distractions, emotions, fatigue, and countless external stimuli that a machine does not experience. As a result, the transitions between human tasks are frequently abrupt, unplanned, and inefficient. Moreover, computers can genuinely process certain operations in parallel through multiple cores, whereas the human brain, particularly its executive functions, largely handles complex cognitive tasks in a sequential manner. What appears to be simultaneous engagement is often rapid task-switching, in which the mind shifts its focus back and forth between different activities. Each of these shifts imposes a cognitive burden, as the brain must repeatedly disengage from one task and reorient toward another. This constant switching is where the key differences between human and digital multitasking become most apparent, and it explains why humans often struggle to maintain the same level of performance across multiple concurrent tasks. ## The Cost of Divided Attention Accordingly, insufficient attention causes humans to lose focus and spend more time instead of saving it. This is perhaps the most counterintuitive aspect of multitasking. While people believe that handling several tasks at once will allow them to accomplish more in less time, research consistently demonstrates the opposite. The cognitive cost of switching between tasks, often referred to as the "switching cost," accumulates rapidly. Each time attention is redirected, the brain requires a period to re-establish concentration on the new task. These small delays, multiplied across numerous transitions, can significantly extend the total time needed to complete a set of tasks. Beyond the temporal cost, multitasking also degrades the quality of work. When attention is fragmented, individuals are more prone to errors, oversights, and superficial engagement. A student who studies while intermittently checking a phone is unlikely to absorb material as deeply as one who devotes uninterrupted focus. Similarly, a professional who drafts a report while participating in a conversation may produce work riddled with mistakes. The illusion of productivity created by multitasking often masks a reality of diminished performance and increased mental strain. Chronic multitasking may even contribute to heightened stress levels and reduced overall cognitive well-being, as the mind is denied the restorative benefits of sustained, focused engagement. ## The Question of Trainability Given these challenges, the ability to train oneself to multitask emerges as a relevant and pressing research question. If multitasking is inherently costly, can individuals develop strategies or cognitive capacities that mitigate these costs? This inquiry is addressed to help humans improve coordination and avoid interruptions that undermine their efficiency. Researchers have explored whether practice can enhance a person's ability to manage multiple tasks, and the findings suggest a nuanced picture. In some cases, extensive practice can automate certain tasks to the point where they demand minimal conscious attention, thereby freeing cognitive resources for other activities. A skilled driver, for instance, can navigate familiar roads while holding a conversation, because the act of driving has become largely automatic. However, when tasks require genuine cognitive effort and conscious decision-making, the capacity for improvement through training appears more limited. The brain's executive functions have finite capacity, and no amount of practice can entirely eliminate the switching costs associated with complex, attention-demanding activities. Instead, the most effective strategies often involve reducing the need to multitask altogether. Techniques such as prioritizing tasks, minimizing external interruptions, and dedicating blocks of uninterrupted time to individual activities have proven more beneficial than attempting to strengthen an inherently limited multitasking ability. Understanding how to coordinate tasks and manage interruptions thus becomes central to enhancing human performance. ## Conclusion Human multitasking, though inspired by the efficiency of computer systems, operates according to very different principles. The frequent and often chaotic switching of human attention distinguishes it sharply from the orderly processing of machines, and this difference carries significant consequences. Rather than saving time, multitasking frequently causes people to lose focus, work more slowly, and produce lower-quality results. The research question of whether multitasking can be trained is therefore of great importance, as it holds the potential to help individuals improve their coordination and minimize the disruptions that plague modern life. Ultimately, recognizing the limitations of human attention and adopting strategies that respect these limits may prove far more valuable than striving to emulate the parallel processing of computers.