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Theory of Basic Human Values - Wikipedia
Theory of Basic Human Values - Wikipedia
The Theory of Basic Human Values recognize ten universal values, which can be organized in four higher-order groups. Each of the ten universal values has a central goal that is the underlying motivator.[1][5] Openness to change[edit] Self-Direction Independent thought and action—choosing, creating, exploring. Stimulation Excitement, novelty and challenge in life. Self-enhancement[edit] Hedonism Pleasure or sensuous gratification for oneself. Achievement Personal success through demonstrating competence according to social standards. Power Social status and prestige, control or dominance over people and resources. Conservation[edit] Security Safety, harmony, and stability of society, of relationships, and of self. Conformity Restraint of actions, inclinations, and impulses likely to upset or harm others and violate social expectations or norms. Tradition Respect, commitment, and acceptance of the customs and ideas that one's culture or religion provides. Self-transcendence[edit] Benevolence Preserving and enhancing the welfare of those with whom one is in frequent personal contact (the ‘in-group’). Universalism Understanding, appreciation, tolerance, and protection for the welfare of all people and for nature. Other[edit] Spirituality was considered as an additional eleventh value, however, it was found that it did not exist in all cultures.
·en.wikipedia.org·
Theory of Basic Human Values - Wikipedia
Intrinsic value (ethics) - Wikipedia
Intrinsic value (ethics) - Wikipedia
In ethics, intrinsic value is a property of anything that is valuable on its own. Intrinsic value is in contrast to instrumental value (also known as extrinsic value), which is a property of anything that derives its value from a relation to another intrinsically valuable thing.[1] Intrinsic value is always something that an object has "in itself" or "for its own sake", and is an intrinsic property. An object with intrinsic value may be regarded as an end, or in Kantian terminology, as an end-in-itself
·en.wikipedia.org·
Intrinsic value (ethics) - Wikipedia
GCI Framework – Complice Workshops
GCI Framework – Complice Workshops
One-time tasks (eg calling someone to set up a meeting)Gathering information (eg researching how to solve some aspect of your goal)Practicing a skill (eg practicing guitar for doing recordings)Reinforcing a Habit (eg eating healthy meals instead of snacking)Working a pump (eg making sales calls for your business)Testing an assumption (eg doing market validation for your business)Deep work (working directly on some core output of the goal, eg writing for a book goal or programming for a software startup goal)
·workshops.complice.co·
GCI Framework – Complice Workshops
Shadow (psychology) - Wikipedia
Shadow (psychology) - Wikipedia
In analytical psychology, the shadow (also known as ego-dystonic complex, repressed id, shadow aspect, or shadow archetype) is an unconscious aspect of the personality that does not correspond with the ego ideal, leading the ego to resist and project the shadow. In short, the shadow is the self's emotional blind spot, projected (as archetypes—or, metaphoral sense-image complexes, personified within the collective unconscious); e.g., trickster
·en.wikipedia.org·
Shadow (psychology) - Wikipedia
Self-concept - Wikipedia
Self-concept - Wikipedia
In the psychology of self, one's self-concept (also called self-construction, self-identity, self-perspective or self-structure) is a collection of beliefs about oneself.[1][2] Generally, self-concept embodies the answer to the question "Who am I?".[3] Self-concept is distinguishable from self-awareness, which is the extent to which self-knowledge is defined, consistent, and currently applicable to one's attitudes and dispositions.[4] Self-concept also differs from self-esteem: self-concept is a cognitive or descriptive component of one's self (e.g. "I am a fast runner"), while self-esteem is evaluative and opinionated (e.g. "I feel good about being a fast runner"). Self-concept is made up of one's self-schemas, and interacts with self-esteem, self-knowledge, and the social self to form the self as a whole. It includes the past, present, and future selves, where future selves (or possible selves) represent individuals' ideas of what they might become, what they would like to become, or what they are afraid of becoming. Possible selves may function as incentives for certain behaviour.[3][5] The perception people have about their past or future selves relates to their perception of their current selves. The temporal self-appraisal theory[6] argues that people have a tendency to maintain a positive self-evaluation by distancing themselves from their negative self and paying more attention to their positive one. In addition, people have a tendency to perceive the past self less favourably[7] (e.g. "I'm better than I used to be") and the future self more positively[8] (e.g. "I will be better than I am now").
In the psychology of self, one's self-concept (also called self-construction, self-identity, self-perspective or self-structure) is a collection of beliefs about oneself.[1][2] Generally, self-concept embodies the answer to the question "Who am I?".[3] The self-concept is distinguishable from self-awareness, which is the extent to which self-knowledge is defined, consistent, and currently applicable to one's attitudes and dispositions.[4] Self-concept also differs from self-esteem: self-concept is a cognitive or descriptive component of one's self (e.g. "I am a fast runner"), while self-esteem is evaluative and opinionated (e.g. "I feel good about being a fast runner").
·en.wikipedia.org·
Self-concept - Wikipedia
The Most Important Scarce Resource is Legitimacy
The Most Important Scarce Resource is Legitimacy
Legitimacy is a pattern of higher-order acceptance. An outcome in some social context is legitimate if the people in that social context broadly accept and play their part in enacting that outcome, and each individual person does so because they expect everyone else to do the same.
Legitimacy by brute force: someone convinces everyone that they are powerful enough to impose their will and resisting them will be very hard. This drives most people to submit because each person expects that everyone else will be too scared to resist as well. Legitimacy by continuity: if something was legitimate at time T, it is by default legitimate at time T+1. Legitimacy by fairness: something can become legitimate because it satisfies an intuitive notion of fairness. See also: my post on credible neutrality, though note that this is not the only kind of fairness. Legitimacy by process: if a process is legitimate, the outputs of that process gain legitimacy (eg. laws passed by democracies are sometimes described in this way). Legitimacy by performance: if the outputs of a process lead to results that satisfy people, then that process can gain legitimacy (eg. successful dictatorships are sometimes described in this way). Legitimacy by participation: if people participate in choosing an outcome, they are more likely to consider it legitimate. This is similar to fairness, but not quite: it rests on a psychological desire to be consistent with your previous actions.
Application-layer projects that support public goods in the community should get the support of the community, and this is a big deal. The example of DAI shows that this support really matters!
But this goes far beyond just Ethereum itself. NFTs are one example of a large pool of capital that depends on concepts of legitimacy. The NFT industry could be a significant boon to artists, charities and other public goods providers far beyond our own virtual corner of the world, but this outcome is not predetermined; it depends on active coordination and support
And blockchains are full of coordination games
·vitalik.ca·
The Most Important Scarce Resource is Legitimacy
Slow Growth - Software Makers & Society
Slow Growth - Software Makers & Society
The last decades saw young, technology-enabled companies beat huge, traditional enterprises across all market sectors. We saw these companies create whole new business categories out of (apparent) thin air. The phenomenon was so remarkable, a whole new category for how fast companies can grow was created: hypergrowth.
Research10 has gone far into making tangible those aspects of company culture that are shared by high-performing organisations. Often these companies operate in small, cross-functional teams with end-to-end ownership, highly autonomous in their daily operations, but also highly aligned to shared and understood business goals. The generative type of organisational culture as outlined by Westrum11 provides a broad but actionable description of the types of corporate culture we should be striving for.
High performing organisations are obsessively disciplined about their metrics, usually choosing a specific one – a ‘North Star Metric’12 – to track overall business performance. Teams then break this metric down to its smallest components in detailed KPI trees13
·slow-growth.com·
Slow Growth - Software Makers & Society
Category theory - Wikipedia
Category theory - Wikipedia
Category theory is a general theory of mathematical structures and their relations that was introduced by Samuel Eilenberg and Saunders Mac Lane in the middle of the 20th century in their foundational work on algebraic topology. Nowadays, category theory is used in almost all areas of mathematics, and in some areas of computer science. In particular, many constructions of new mathematical objects from previous ones, that appear similarly in several contexts are conveniently expressed and unified in terms of categories. Examples include quotient spaces, direct products, completion, and duality.
·en.wikipedia.org·
Category theory - Wikipedia
Applied category theory - Wikipedia
Applied category theory - Wikipedia
Applied category theory is an academic discipline in which methods from category theory are used to study other fields[1][2][3] including but not limited to computer science,[4][5] physics (in particular quantum mechanics[6][7][8][9]), natural language processing,[10][11][12] control theory,[13][14] probability theory and causality. The application of category theory in these domains can take different forms. In some cases the formalization of the domain into the language of category theory is the goal, the idea here being that this would elucidate the important structure and properties of the domain. In other cases the formalization is used to leverage the power of abstraction in order to prove new results about the field
·en.wikipedia.org·
Applied category theory - Wikipedia
Limerence - Wikipedia
Limerence - Wikipedia
Tennov estimates, based on both questionnaire and interview data, that the average limerent reaction duration, from the moment of initiation until a feeling of neutrality is reached, is approximately three years. The extremes may be as brief as a few weeks or as long as several decades. When limerence is brief, maximum intensity may not have been attained. According to David Sack, M.D., limerence lasts longer than romantic love, but is shorter than a healthy, committed partnership
·en.wikipedia.org·
Limerence - Wikipedia
Attachment theory - Wikipedia
Attachment theory - Wikipedia
Infant behaviours in the Strange Situation Protocol coded as disorganized/disoriented include overt displays of fear; contradictory behaviours or affects occurring simultaneously or sequentially; stereotypic, asymmetric, misdirected or jerky movements; or freezing and apparent dissociation. Lyons-Ruth has urged, however, that it should be more widely "recognized that 52% of disorganized infants continue to approach the caregiver, seek comfort, and cease their distress without clear ambivalent or avoidant behavior
·en.wikipedia.org·
Attachment theory - Wikipedia
Limerence - Wikipedia
Limerence - Wikipedia
Limerence is a state of mind which results from romantic or non-romantic feelings for another person, and typically includes intrusive, melancholic thoughts and/or tragic concerns for the object of one's affection as well as a desire to form or maintain a relationship with the object of love and to have one's feelings reciprocated. Limerence can also be defined as an involuntary state of intense desire.
·en.wikipedia.org·
Limerence - Wikipedia
Neuro-symbolic AI - Wikipedia
Neuro-symbolic AI - Wikipedia
Neuro-symbolic AI integrates neural and symbolic AI architectures to address complementary strengths and weaknesses of each, providing a robust AI capable of reasoning, learning, and cognitive modeling. As argued by Valiant[1] and many others,[2] the effective construction of rich computational cognitive models demands the combination of sound symbolic reasoning and efficient machine learning models. Gary Marcus, argues that: "We cannot construct rich cognitive models in an adequate, automated way without the triumvirate of hybrid architecture, rich prior knowledge, and sophisticated techniques for reasoning."[3]. Further, "To build a robust, knowledge-driven approach to AI we must have the machinery of symbol-manipulation in our toolkit. Too much of useful knowledge is abstract to make do without tools that represent and manipulate abstraction, and to date, the only machinery that we know of that can manipulate such abstract knowledge reliably is the apparatus of symbol-manipulation
·en.wikipedia.org·
Neuro-symbolic AI - Wikipedia
Stages of Adult Development | Levinson, Vaillant & Neugarten's Theories - Video & Lesson Transcript | Study.com
Stages of Adult Development | Levinson, Vaillant & Neugarten's Theories - Video & Lesson Transcript | Study.com
Explore adult development theory in psychology and sociology. Learn about Levinson's, Vaillant's, Neugarten's, and Kegan's theories of adult...
Adult development theory is described as stages of growth where individuals begin viewing the world from a more multidimensional perspective and acquire a more complex understanding of themselves and others.
Developing an Identity - individuals establish their independence and begin to define themselves as a separate entity from their family by defining one's values and beliefs Development of Intimacy - individuals develop intimate relationships where they make lifelong commitments to another person and define themselves within their relationship Career Consolidation - individual's identity is defined through the social context of one's career Generativity - individuals take on mentorship roles within the community and become more altruistic Becoming Keeper of the Meaning - individuals perceive their knowledge and expertise contributing to society and become more aware of a broader social scope in passing down knowledge and traditions Achieving Integrity - individuals find acceptance in their existence and their place in the universe
·study.com·
Stages of Adult Development | Levinson, Vaillant & Neugarten's Theories - Video & Lesson Transcript | Study.com
Symbiosis - Wikipedia
Symbiosis - Wikipedia
Symbiosis (from Greek συμβίωσις, symbíōsis, "living together", from σύν, sýn, "together", and βίωσις, bíōsis, "living")[2] is any type of a close and long-term biological interaction between two different biological organisms, be it mutualistic, commensalistic, or parasitic. The organisms, each termed a symbiont, must be of different species. In 1879, Heinrich Anton de Bary defined it as "the living together of unlike organisms". The term was subject to a century-long debate about whether it should specifically denote mutualism, as in lichens. Biologists have now abandoned that restriction
·en.wikipedia.org·
Symbiosis - Wikipedia
Arm Yourself With Specific Knowledge
Arm Yourself With Specific Knowledge
Do you want to talk a little bit about the skills that you need, in particular specific knowledge, accountability, leverage and judgment. So, the first tweet in this area is “Arm yourself with specific knowledge accountability and leverage.” And I’ll throw in judgment as well. I don’t think you covered that in that particular tweet. More
So, specific knowledge is found much more by pursuing your innate talents, your genuine curiosity, and your passion. It’s not by going to school for whatever is the hottest job, it’s not for going into whatever field investors say is the hottest.
·nav.al·
Arm Yourself With Specific Knowledge
The Principles of Deep Learning Theory
The Principles of Deep Learning Theory
This book develops an effective theory approach to understanding deep neural networks of practical relevance. Beginning from a first-principles component-level picture of networks, we explain how...
·arxiv.org·
The Principles of Deep Learning Theory
How to Think for Yourself
How to Think for Yourself
Independent-mindedness seems to be more a matter of nature than nurture. Which means if you pick the wrong type of work, you're going to be unhappy. If you're naturally independent-minded, you're going to find it frustrating to be a middle manager. And if you're naturally conventional-minded, you're going to be sailing into a headwind if you try to do original research.
But schools generally ignore independent-mindedness, except to the extent they try to suppress it
It matters a lot who you surround yourself with
Another place where the independent- and conventional-minded are thrown together is in successful startups. The founders and early employees are almost always independent-minded
In my experience, independent-mindedness and curiosity predict one another perfectly. Everyone I know who's independent-minded is deeply curious, and everyone I know who's conventional-minded isn't
·paulgraham.com·
How to Think for Yourself
Open banking - Wikipedia
Open banking - Wikipedia
Open banking is a financial services term within financial technology. It refers to:[1] The use of open APIs that enable third-party developers to build applications and services around the financial institution.[2][3] Greater financial transparency options for account holders, ranging from open data to private data. The use of open source technology to achieve the above
·en.wikipedia.org·
Open banking - Wikipedia
Before the Startup
Before the Startup
It's not surprising that after being trained for their whole lives to play such games, young founders' first impulse on starting a startup is to try to figure out the tricks for winning at this new game. Since fundraising appears to be the measure of success for startups (another classic noob mistake), they always want to know what the tricks are for convincing investors. We tell them the best way to convince investors is to make a startup that's actually doing well, meaning growing fast, and then simply tell investors so. Then they want to know what the tricks are for growing fast. And we have to tell them the best way to do that is simply to make something people want.
·paulgraham.com·
Before the Startup
Bessel's correction - Wikipedia
Bessel's correction - Wikipedia
In statistics, Bessel's correction is the use of n − 1 instead of n in the formula for the sample variance and sample standard deviation,[1] where n is the number of observations in a sample. This method corrects the bias in the estimation of the population variance. It also partially corrects the bias in the estimation of the population standard deviation. However, the correction often increases the mean squared error in these estimations. This technique is named after Friedrich Bessel.
·en.wikipedia.org·
Bessel's correction - Wikipedia
Transference - Wikipedia
Transference - Wikipedia
It is common for people to transfer feelings about their parents to their partners or children (that is, cross-generational entanglements). Another example of transference would be a person mistrusting somebody who resembles an ex-spouse in manners, voice, or external appearance, or being overly compliant to someone who resembles a childhood friend.
It usually concerns feelings from a primary relationship during childhood. At times, this transference can be considered inappropriate
·en.wikipedia.org·
Transference - Wikipedia
Turing completeness - Wikipedia
Turing completeness - Wikipedia
In computability theory, a system of data-manipulation rules (such as a computer's instruction set, a programming language, or a cellular automaton) is said to be Turing-complete or computationally universal if it can be used to simulate any Turing machine (devised by English mathematician and computer scientist Alan Turing). This means that this system is able to recognize or decide other data-manipulation rule sets. Turing completeness is used as a way to express the power of such a data-manipulation rule set. Virtually all programming languages today are Turing-complete.
·en.wikipedia.org·
Turing completeness - Wikipedia