genera tipo cuadro

segunda parte mas pequeño lo msiosm en todos lso captitulos

Esto va en la pagina anterior hay que poner Segunda parte

este recuadro debe estar en al pagian entaroi roen ettituo y porn "primera pate infomraiocn teorica

esta iamgen debe ser transparente

falta gestor cultura, fundador cas de teatro

Despliega mas grnad een genrarl d beemso tenrer los textos mas grande que corte con la guilot eno deb estar el cote ande slsagarndo el fondo

Santa teresa de Avisla no de jesus y esto deb estar en un spread esta oracion debe star eesa oracion debe salri en lso documetn adjuntso

el liminar debe ir en una pagian aparte

esto va en una página aparte

quita editora alas solo editora del sol y asegurate qu este en transparencias, s epued epoenr ams pequeño conprime ficha tecainca porque arriba debe ir una ficha bibliográfica

quita estas protadas no es necesario

haz que las flores salgan del caparazón no detras

desta caeto y da espaciado

Destacar este título

German , sin tílde

agregar foto de la entrevista

Ana Daisy arregalr

Greb, con B al final

Spread 2 páginas: Título, explicação, arte espacial.

agrega imagenes de seto

integra fotos de Heriberto PIeter, los dos puntos no van..

con todas esta fiugras grega imagenes de los personajes

todo esto esta repetido

revisa esto esta repetido

quitar propio

El capítulo debe estar mejor distribuido: capítulo y todos los derechos en una sola página.

agregar fuente

quitar personal...

a partir de lorud emarmolejos en una columna iniciando con un icon d eun punto

todos lo snomrbe y ermieno ipmroante dbeen alir en Negritas

eliminar esta "S"

agregar foto de lourdes marmolejos

numera esto que sea más didáctico

agregar iconos para entender esto mejor

quita esto esta duplicado, no debemos tener inguna linea divisoria ne eninguno d elos parrafo revisa el elibo ormpleto arrega lest afuen

tercera experiencia para ser consistente con las experinceias

resalta esto debe ir en negrita

agrega Jackeline, Mi compañera,

poner como un titulo segunda experiencia para ser en vez de un numero, "segunda experiencia " revisa pa que sea consisnte en todo el libro

elimina esto

esto debe ir a la izquierda

agrega resaltado en un recueadro más importante

no deben estar estas lineas fomratea dbemeos tenre una visualizacon de las portadas más elegante

agregar coma 2026, analizó

diagrama, agrega iconos y haz más facil leer

quita pero documentado

genera un grafico / diagrama para que sea mas entendible frecuecnia

mueve las fuentes hacia el final , remueve la referencia de chatgpt , en todos los enlaces, genera codigo qr para cada uno de esto enlaces

centraliza estos canceres y haz una linea del tiempo

genera arte espciifco esta seccion debe tener otro color en e el latarail otro diseño ya que esto va a ser impreso en

revisa los terminos imporante. bold italics titusos ubstios y ferencicnesa

esto debe tomarse y ordenarse y aparecer en la sección final.

Esto debería salir en el glosario, debemos agregar al final “Apendices, documentación y abreviaturas utilizadas en orden alfabético”.

quitar "De igual modo" y empeiza en la "L" mayúscula

solo el nombre en negrita , de reconcicodo .. etc no va solo los terminos improtantes en bold e italics

esto debe decir ¿Qué es el C. A. de Próstata?

aqui debe ir el cuador y una infografia, no necesitamos que salga asi

estos numeros van abajo o abajo no en en latraial , y no ponerlo en cada pagian el nomrbe del libro y el autor

eliminar esto "Para una mayro precisión científica"

todos estos elementos tiene que estar en lo spied e pagians y cada nuemero de sto deb esalri en un glosario la final del libro dbeemos teern el apendice que muestre todas las refeccnes para que si quiero encontrarlos puedo ir al final del libro y luego se en que pagina

tenemos 3 secciones esto debe star con el sidbear de greb, el lateral debe decir cada parta ,

de que se trata la parte que corresponde agregar spread 2 paginas

Agregar, gestor cultural y fundador de casa de teatro

quitar reflección previa y tambien debe estar en su pagian aa partes destadcada

agregar la imagenes

resaltar la importancia de el dar gracias , que al agradecer el tipo dese mas llamativo y difenrete en referncie a qein se esta agradeciendo. mas grande que el parrafo final

interesante

📜 Timeline comparado Marco Antonio (83–30 a.C.)

83 a.C. → Nace en Roma.

41 a.C. → Conoce a Cleopatra en Tarso; empieza la relación.

36–31 a.C. → Gobierno conjunto con Cleopatra en Oriente, hijos en común.

31 a.C. → Derrota en Accio frente a Octavio.

30 a.C. → Se suicida en Alejandría tras la caída de Cleopatra. 👉 Ejemplo clásico de cómo el amor debilitó al gobernante.

Tito (39–81 d.C.)

39 d.C. → Nace en Roma, hijo de Vespasiano.

66 d.C. → Conquista Jerusalén; conoce a Berenice.

70 d.C. → Regresa a Roma, relación abierta con Berenice.

79 d.C. → Sube al trono como emperador. Presiones políticas → debe enviarla lejos.

81 d.C. → Muere joven, sin volver a verla. 👉 Amó a Berenice, pero el poder lo obligó a sacrificarla.

Adriano (76–138 d.C.)

76 d.C. → Nace en Itálica (Hispania).

100 d.C. → Se casa con Vibia Sabina (sobrina nieta de Trajano), matrimonio conflictivo.

117 d.C. → Sube al trono tras la muerte de Trajano (y la presión de Plotina).

123 d.C. → Viaja por Grecia; conoce a Antínoo (su gran amor).

130 d.C. → Muerte de Antínoo en el Nilo (misteriosa: ¿accidente, suicidio, sacrificio?). Adriano lo deifica y funda la ciudad de Antinoópolis.

138 d.C. → Muere en Baiae. 👉 A diferencia de Tito y Marco Antonio, Adriano no perdió el poder por amor, pero lo sublimó en culto y memoria (Antínoo convertido en dios).

🧠 “La razón se confunde frente al prodigio del amor”

El emperador admite que el amor desafía la lógica. Lo que parece un fenómeno biológico se transforma en un misterio que no puede explicarse con pura razón.

🫀 La carne propia vs. la carne ajena

Nuestro propio cuerpo nos interesa de manera mínima: lo lavamos, lo alimentamos, lo cuidamos para evitar dolor.

Pero, en el amor, el cuerpo ajeno se convierte en objeto de obsesión, de deseo apasionado.

✨ El enigma del deseo

¿Por qué?

Porque ese cuerpo está animado por una individualidad distinta a la nuestra (tiene un alma propia).

Porque exhibe ciertos trazos de belleza, aunque la belleza es tan subjetiva que ni los mejores jueces coinciden en qué la define.

🗝️ Sentido profundo

El texto muestra cómo el amor erosiona la frontera entre lo racional y lo irracional:

La carne deja de ser mera materia y se convierte en misterio encarnado en el otro.

El deseo no surge de la carne en sí, sino del hecho de que esa carne es otredad viviente.

La belleza funciona como chispa, pero es arbitraria y variable.

👉 En resumen: Adriano reconoce el amor como una paradoja —una fuerza que convierte lo banal (un cuerpo) en lo más precioso, por la simple diferencia de que no es el nuestro.

⚰️ Despojamiento como la muerte

El inicio compara el acto del amor (o de la entrega espiritual) con la muerte: desnudez absoluta, pérdida de todo poder, abandono del yo.

🙇 Humildad más que derrota o plegaria

En la derrota uno es humillado por otro.

En la plegaria uno se humilla ante los dioses.

Pero en el amor, la humildad es todavía más radical: es voluntaria. Uno se vacía por decisión propia.

🔄 El retorno de lo humano

Después de ese instante de anulación, vuelve la vida con toda su carga:

Negativas: límites, rechazos.

Responsabilidades: lo que uno debe asumir.

Dones: lo que se recibe y se da.

Tristes confesiones: la vulnerabilidad.

Frágiles ternuras: la delicadeza que sobrevive en lo cotidiano.

🧭 Sentido

El pasaje muestra cómo el amor o la entrega íntima tiene un movimiento doble:

Vaciamiento absoluto (como la muerte).

Retorno a lo complejo y humano (responsabilidad, ternura, confesiones).

Es casi una dialéctica: el amor como aniquilación momentánea seguida por la reconstrucción del tejido vital.

⚰️ Despojamiento como la muerte

El inicio compara el acto del amor (o de la entrega espiritual) con la muerte: desnudez absoluta, pérdida de todo poder, abandono del yo.

🙇 Humildad más que derrota o plegaria

En la derrota uno es humillado por otro.

En la plegaria uno se humilla ante los dioses.

Pero en el amor, la humildad es todavía más radical: es voluntaria. Uno se vacía por decisión propia.

🔄 El retorno de lo humano

Después de ese instante de anulación, vuelve la vida con toda su carga:

Negativas: límites, rechazos.

Responsabilidades: lo que uno debe asumir.

Dones: lo que se recibe y se da.

Tristes confesiones: la vulnerabilidad.

Frágiles ternuras: la delicadeza que sobrevive en lo cotidiano.

🧭 Sentido

El pasaje muestra cómo el amor o la entrega íntima tiene un movimiento doble:

Vaciamiento absoluto (como la muerte).

Retorno a lo complejo y humano (responsabilidad, ternura, confesiones).

Es casi una dialéctica: el amor como aniquilación momentánea seguida por la reconstrucción del tejido vital.

🍷 El bebedor y la razón

Beber no implica necesariamente perder la cabeza: uno puede tomar vino y seguir siendo dueño de sí.

Aquí el vino representa el placer controlado, el exceso manejable.

❤️ El amante y la razón

Pero en el amor, quien se mantiene demasiado lúcido no se entrega del todo.

“No obedece del todo a su dios” = no honra plenamente a Eros.

Amar exige perder algo de control, dejar que la pasión gobierne.

🗝️ Sentido profundo

Yourcenar (a través de Adriano) plantea un contraste:

El vino → placer que se puede modular.

El amor → fuerza divina que pide rendición.

Amar con cálculo frío es casi una contradicción: el dios exige sacrificio de la razón.

👉 Es una idea que viene de la tradición griega: Platón en el Fedro habla de la manía erótica (locura divina del amor) como una forma superior de verdad.

🌿 Diana de los bosques

Adriano no habla de la diosa literalmente, sino como símbolo de la caza y de un contacto intenso con la naturaleza. Diana es la divinidad de los bosques, los animales salvajes y la luna. Relacionarse con ella es relacionarse con lo salvaje, lo femenino y lo misterioso.

🐗 La caza del jabalí

En la adolescencia, la caza era rito de paso.

Para Adriano, matar un jabalí no era solo deporte, sino un primer contacto con el mando (dirigir a los cazadores, perros, organizar) y con el peligro real (un animal que podía matarlo).

La experiencia mezcla erotismo (“ser amado”), violencia y poder.

⚔️ Formación del carácter

Se entregaba con “furor”, es decir, con pasión casi dionisíaca.

Sus excesos provocaron que el propio Trajano —su tutor y futuro padre adoptivo— lo reprendiera.

En clave literaria, esto muestra a un joven impulsivo, con sed de riesgo, que debía ser domesticado para convertirse en emperador.

Animula vagula, blandula Little soul, wandering, gentle

Hospes comesque corporis Guest and companion of the body

Quae nunc abibis in loca You who now will depart to places

Pallidula, rigida, nudula Pale, stiff, and bare

Nec, ut soles, dabis iocos… And you will no longer make your usual jokes…

Raphael → Azazel

Bound hand and foot.

Imprisoned in Dudael under jagged rocks.

Total sensory deprivation until final judgment → then fire.

Symbolic weight: His name becomes the container for all sin (“to him ascribe all sin”).

s men perish, their cry rises to heaven — same justice motif as in Gen 4:10 (Abel’s blood) and Exod 3:7 (Israel’s slavery).

This sets the stage for God’s intervention in subsequent chapters.

1. Specialized Forbidden Knowledge (vv. 12–13) Each leader teaches a distinct occult or celestial craft: astrology, divination, meteorology, geomancy, solar/lunar cycles.

This mirrors later biblical prohibitions (Deut 18:10–14, Isa 47:13–14) against secret knowledge that bypasses God’s revelation.

Note: astronomy here isn’t condemned for navigation or agriculture but for esoteric manipulation.

The marriages lead to:

Occult knowledge: charms, enchantments, plant lore.

Biological corruption: the Nephilim/giants (three thousand ells — hyperbolic).

Violence: giants consume human resources, then humans themselves, then even animals (Noahic covenant violation of Gen 9:4 foreshadowed).

The earth itself “accuses” — personification of creation as witness in a legal trial (cf. Hab 2:11).

The “fourteen trees” that keep their leaves are a symbolic image of righteous endurance in a time of death-like dormancy.

These may correspond to evergreen species in the ancient Near East, but the precise number suggests symbolic numerology — “two sevens” often represents completeness doubled.

“Luminaries… do not change their orbits… in order each in its season.” The stars, sun, and moon are depicted as loyal servants, perfectly keeping the “appointed order” (chuqqah concept in Hebrew thought — divine decree embedded in creation).

Cosmic precision here isn’t scientific astronomy — it’s theological astronomy: regularity is proof of divine kingship.

The coming with “ten thousands of His holy ones” anticipates NT echoes (Jude 14–15 directly quotes this).

This scene reads like a royal procession of a divine warrior-king bringing justice—linking Second Temple Jewish thought to later Christian eschatology.

Judgment is not indiscriminate:

Wicked: destroyed, convicted of ungodly deeds and blasphemous words (speech as moral evidence).

Elect: protected, blessed, prospered, given peace and light.

Watchers—fallen angels from the earlier Enoch narrative—are explicitly terrified. This shows that divine judgment will reach beyond humans to supernatural powers.

Mount Sinai as a stage for God’s descent connects to the Exodus theophany (Exod 19), but here the scale is cosmic: mountains shake, hills melt “like wax,” the earth “rent in sunder.”

These are chaos language markers, used to depict reality’s unmaking before renewal (cf. Isaiah 64, Nahum 1).

Enoch claims his authority from visions given by angels and “the Holy One in the heavens.”

“Eyes… opened by God” is a biblical trope for divine revelation (cf. Num 24:4; Acts 26:18).

"The elect and righteous… in the days of tribulation" → The blessing is aimed not at Enoch’s contemporaries but at a future faithful remnant enduring societal collapse and divine judgment.

The temporal distance (“not for this generation… for a remote one”) is a hallmark of apocalyptic literature: it speaks forward into times of crisis.

Quia si omnes hi exules facti essent et rebus abreviuntiassent, quas diu possederant et hominibus qui sibi subiiciebantur et eorumdem possessionibus et rationem non inspicerent, quae expulsionum suarum causa esset...

Parsing & Gloss

Quia si = “For if”

omnes hi exules facti essent = “all these had been made exiles”

et rebus abreviuntiassent = “and had been deprived of the things” (abbreviuntiare rare, “to cut short / strip from”)

quas diu possederant = “which they had long possessed”

et hominibus qui sibi subiiciebantur = “and the people who were subject to them”

et eorumdem possessionibus = “and their possessions”

et rationem non inspicerent = “and had not considered the reason”

quae expulsionum suarum causa esset = “which was the cause of their expulsion”

Smooth translation

For if all these had been made exiles and deprived of the possessions they had long held, and of the people subject to them and of those people’s possessions, and had not examined the reason which was the cause of their expulsion…

Unde illi Reges praenominati venientes et tanquam in suis hereditatibus haereditantes ut regiones suae a subiectionibus malignis expediretur eis XII reges contradixerunt et obvii facti sunt, cum quilibet suo iure gauderet in rem propriam protegendo et illius partem.

Parsing & Gloss

Unde = “whence / and so”

illi Reges praenominati = “those kings previously named” (the three masters? or local rulers — here probably the tres magistri described as kings)

venientes = “coming” (present participle)

et tanquam in suis hereditatibus haereditantes = “and as if inheriting in their own estates”

ut regiones suae … expediretur = “so that their regions might be freed” (expedire = “to free, release”)

a subiectionibus malignis = “from evil subjections”

eis XII reges contradixerunt = “twelve kings opposed them” (contradixerunt = “spoke against / resisted”)

et obvii facti sunt = “and came to meet them” (in opposition)

cum quilibet suo iure gauderet = “since each rejoiced in his own right”

in rem propriam protegendo = “by defending his own property”

et illius partem = “and his share of it”

Smooth translation

And so the aforesaid kings came, as though inheriting their own estates, to free their regions from evil subjections; but twelve kings opposed them and confronted them, each rejoicing in his own right by defending his own property and his share of it.

Et primus pater nostrum ei fuerit prima subito ibi adesse ut quidam referunt.

Parsing & Gloss

Unde = “whence / from which it follows”

hic manifeste pullulat ratio = “here the reasoning clearly springs forth” (pullulat from pullulare, “to sprout, spring up”)

quod = “that”

ibi vocis materia = “there the matter/material of the voice” (possibly “the spoken word”)

primo per summum Dominum fuit expressa = “was first expressed by the Supreme Lord”

Smooth translation

Whence it is clear that the reasoning springs forth here: that there, the substance of the voice was first uttered by the Supreme Lord.

Parsing & Gloss

Illae enim regiones = “for those regions”

ex terrenis partes fertiliores eliguntur = “are chosen as the most fertile parts from among the earthly [lands]”

ex omnibus partibus terrestribus = “from all earthly parts”

et summis partibus caelestibus comparantur = “and are compared to the highest heavenly parts”

Smooth translation

For those regions are the most fertile portions of the earth, chosen from among all earthly lands, and they are compared to the highest parts of heaven.

Parsing & Gloss

Et ideo = “and for that reason”

illa terra maiori = “that greater land” (here “Greater India”)

dedita fuit errori = “was given over to error” (error = religious/moral error)

quam aliqua aliarum = “more than any of the others” (lands)

Quare = “wherefore / therefore”

in illis regionibus = “in those regions”

magistri praetaxati = “the aforesaid masters” (praetaxati = “previously mentioned”)

accesserunt = “came / went to”

Smooth translation

And for that reason, that greater land was given over to error more than any other; therefore, the aforesaid masters went into those regions.

Quia = “because”

versus illam partem = “towards that region/side”

maxime occasum passi sunt illi = “those suffered the greatest downfall” (occasum pati = “to suffer ruin”)

qui primo dominum suum pro derelicto habuerunt = “who at first regarded their lord as abandoned” (or “forsook their lord”).

Quorum = “of whom” (gen. pl., refers to the tres magistri)

talia sunt nobis nomina = “such are to us the names” → “their names are as follows”

Demusprius, Dusnucsedens, Sudetertius = proper names (probably mystical/fictional)

scientes = “knowing” (present act. part. nom. pl., agrees with the three masters)

hanc doctrinam ad unguem = “this doctrine to the nail” (= “perfectly”)

et plenaria scripta obtinentes = “and possessing complete writings”

et illos … dirigente = “and with them being directed by the heavenly majesty” (dirigente = pres. part. of dirigo, ablative absolute)

et viam directam perfectionis illis propalante = “and revealing to them the straight way of perfection” (propalante abl. abs., from propalo, “to disclose”)

delegavit in India maiori = “he sent [them] into Greater India” (delegavit = perfect of delego, “to send/depute”)

isti tres magistri = “these three masters”

sumptis cibariis caelestibus = ablative absolute → “with heavenly provisions having been taken” (sumptis from sumo, “to take, consume”; cibariis = “food provisions”)

per XV annos = “for fifteen years”

Smooth translation

And these three masters, having taken heavenly provisions, [lived thus] for fifteen years.

First sentence Hic incipit liber Aldaraia secundum hoc quod nobis praedixerunt illi qui nobis extiterant auctores, qui de Deo et de partibus caelestibus in deserto fuit revelatus.

Parsing

Hic incipit = “Here begins” (hic adverb, “here”; incipit 3rd sg. pres. act. indic. from incipio, “to begin”)

liber Aldaraia = “the book Aldaraia” (liber nominative, Aldaraia proper name)

secundum hoc quod = “according to that which” (secundum + acc. → “according to”; hoc quod = “this which/that which”)

nobis praedixerunt = “they foretold to us” (praedixerunt = perf. act. indic. 3rd pl. of praedico)

illi qui nobis extiterant auctores = “those who had stood forth as our authors/sources” (extiterant = pluperf. from exsto / exto, “to stand forth, exist”)

qui de Deo et de partibus caelestibus ... fuit revelatus = relative clause — tricky because of mixed agreement; probably “to whom (something) about God and the heavenly parts was revealed in the desert.”

Smooth translation

Here begins the book Aldaraia, according to what those who had been our authors foretold to us — those to whom, in the desert, the things concerning God and the heavenly realms were revealed.

Because vim bindings are Greb

thank you !! indeed i have

true.

hahha F)#*$ yeah!

Please...

I sure asked myself this while writting Greb over and over again

The moment i found out that Clojure existed I've had a grin on my face..

Gradient of disciplines

Triptych 🖼️ noun

Definition: A triptych is a work of art (usually a painting or relief) made up of three panels. The center panel is often the largest, flanked by two smaller, hinged side panels. Common in altarpieces during the Middle Ages and Renaissance, but also used in modern visual storytelling (e.g., photography, film, comics).

Also metaphorically used for any set of three artistic, literary, or thematic works intended to be appreciated together.

Etymology: From Greek: tri- (three) + ptychē (fold) → “three-fold”

Came through Latin and French → triptyque (French) → triptych (English)

If we think of the democratization of software we're going to finally enter this stage in technology

we're not doing any better a computer out of the box doesn't do anything today without a whole set of payed software and subscriptions..

This is a must for all my students!!!!!

True!!!! love this

Guille esto me parece que no funciona pro ... bla bl ba

Try to give a child a good environment 🧠 Jean Piaget (Cognitive Constructivism) Focus: Stages of cognitive development 🧱

Method: Child learns independently, discovering via interaction with the environment.

Key Idea: Development precedes learning.

Classroom: Structured tasks matched to cognitive stage.

🔍 Source: Piaget, The Origins of Intelligence in Children (1952). Credibility: 9/10 (peer-reviewed, foundational)

🧠 John Dewey (Pragmatism & Experiential Learning) Focus: Learning by doing 🛠️

Method: Social interaction + real-world experience.

Key Idea: Learning and development are continuous and intertwined.

Classroom: Project-based, democratic, socially interactive.

🔍 Source: Dewey, Experience and Education (1938). Credibility: 9/10 (peer-reviewed, seminal work)

⚔️ Key Differences Concept Piaget Dewey Child's role Little scientist 🧪 Social learner 🤝 Teacher's role Guide for stage-appropriate tasks Facilitator of real experiences Development vs Learn Develop → Learn Develop while learning Social learning Secondary Core principle

🏛️ What makes it incredible The dome spans a clear 43.3 m (142 ft)—an unmatched feat of ancient concrete engineering, still the world’s largest unreinforced concrete dome monolithicdome.com +15 en.wikipedia.org +15 alamy.com +15 .

Built circa AD 126 under Hadrian, it's been in continuous use for nearly 2,000 years pantheonroma.com +3 en.wikipedia.org +3 monolithicdome.com +3 .

Romans ingeniously reduced weight upwards by using lighter aggregate: travertine at the base, terracotta, tufa, and pumice near the top theromanguy.com +15 rostarchitects.com +15 en.wikipedia.org +15 .

🌕 Architectural harmony The dome’s height equals its diameter—a perfect sphere inscribed in a cylinder, a brilliant feat of geometric elegance eitchborromini.com +1 romanconcrete.com +1 .

The oculus (central hole) not only illuminates but also reduces structural stress—allowing natural light and rain to filter symmetrically .

⚙️ Why it still matters This two-millennia-old construction predates modern reinforced concrete, yet its engineering principles remain unmatched .

It stood as the largest dome for over 1,300 years, inspiring Renaissance and modern architects—Brunelleschi, Palladio, Jefferson, and even Richard Meier architecturaldigest.com +1 eitchborromini.com +1 .

Leaner structures

especially whenever we think we're teaching it, the worst thing we could ever do is to pretend to the students that we know what it is. Because the students are going to be the only ones that are going to save us. So, we should teach the students what I was taught when I was in graduate school in the sixties: that is it isn't done yet. It's not even close to be done. You have to understand what the actual scope of computing is going to be and you have to help us invent it.

3000 people 2 stories a day

📘 Building the Empire State – Carol Willis (Editor) Based on a rediscovered 1930s notebook originally typed by the foremen of Starrett Brothers & Eken.

Contains day‑by‑day logs: worker counts, materials, photos—provides a ground-level view of the build.

Described as “the best book I have seen on the construction of the ESB … concise, interesting, and an actual record” reddit.com +2 empirestatebuildingny.info +2 citysignal.com +2 gettyimages.dk +5 amazon.com +5 en.wikipedia.org +5

Highly recommended for anyone wanting the real foreman log. ★★★★★

🏙️ The Empire State Building: The Making of a Landmark – John Tauranac A thorough historical and architectural narrative of the building.

Co-published by Cornell University Press, with rich visuals and storytelling.

Great follow-up for context on the log-filled core.

🧱 Higher: A Historic Race to the Sky and the Making of a City – Neal Bascomb Explores the skyscraper rivalry: Chrysler, ESB, 40 Wall Street.

Captures the drama of design, build speed, and ambition.

Complements the logbook by framing it within NYC’s vertical race en.wikipedia.org +1 en.wikipedia.org +1 shop.shakeandco.com

🔁 Why “Building the Empire State” leads: Primary source: actual foreman notebook.

Offers real construction data—daily staffing, deliveries, pace.

Curated by Willis, blending academic clarity and narrative flow.

In computer science nobody has been able to channel 3000 to do anything we're in slave territory not engineering

In the middle architecture appeared

🎓 "The Sciences of the Artificial" – by Herbert A. Simon – is a foundational text that reshaped how we understand design, intelligence, and human-made systems.

🧠 Core Idea: Natural sciences study what is. Artificial sciences study what could be — things designed with purpose.

🔍 Key Concepts: Artificial ≠ Fake — It means man-made with intent.

A watch, a government, a computer program, an economic model — all are artificial systems.

The design sciences (architecture, CS, engineering, etc.) need their own epistemology.

⚙️ Simon's Formula: Design = Goal + Structure + Environment + Adaptation

Al Perlis made up computer science we dont have one right now.

Basically in science we all want to be physics , everything turns into abstract social science phisiscs chemestry and biology dont hav science in their name

🧠 Alan Perlis Invented computer science before it even had a name. He believed programming is not just engineering — it’s philosophy, poetry, and play.

“It’s better to have 100 functions operate on one data structure than 10 functions on 10 data structures.”

🧪 Legacy:

First recipient of the Turing Award

Co-author of ALGOL, the ancestor of most languages today

Professor at Yale, where he treated code like literature

One of the first to say:

“Computer Science is not about computers any more than astronomy is about telescopes.”

GREBBBB 🟢 all the way. This is is post-academic epistemology — the moment where traditional math (the old math) collapses under the weight of new frames, and a new math rises: Academization is using math to deal with a new math — one that has a new set of laws.

Math wins..! But it’s new math, not old math — we have a new way.

Because we have a new way of dealing with things, they’re not short and not about infinite things.

We want knowledge, but the old type of math does not apply. We are working with finite resolutions. 🧠 The Greb Math Manifesto (Draft) Academization = when we weaponize old math to overfit new reality. New Math = when we design a system not to describe infinity, but to resolve finite tensions. Victory = not proving for all time, but solving for right now.

We no longer need ∞; we need ∴ (therefore).

We drop “proofs,” we prefer “resolutions.”

We’re not approximating truth. We’re designing consequence.

The math is still rigorous — but the goal is no longer eternal.

New Math ≠ Old Math with a twist It’s epistemological humility turned into creative method.

Dan ingalls was the guy that made smalltalk work

⚙️ Algol (short for Algorithmic Language) was a family of imperative computer programming languages originally developed in the 1950s–60s. It's a cornerstone in programming language history, inspiring most modern languages like C, Pascal, and JavaScript.

🔍 Highlights: Algol 58 / Algol 60 / Algol 68 are the major versions.

Algol 60 introduced:

Block structure (begin ... end)

Lexical scoping

BNF grammar (Backus-Naur Form)

🧠 Why it mattered: It formalized syntax and structure — made parsing and compilers sane.

Paved the way for academic and practical language design.

First to separate syntax from semantics rigorously.

👻 Why it died: Not widely adopted outside academia.

Lack of standard libraries and commercial support.

IBM pushed COBOL/Fortran instead — classic corporate vs open design tension.

it was better than its succesors

and the demise of usability of modern coding

Full annotations , with clear spaces

this isnt translating , we shoud fix it

This allows us to comment on translations

Ok this is interesting almost done with this but I need to add spaces

🧠 What Future Are We Building? The real challenge isn’t just inventing tech, tools, or AI. It’s inventing a future worth living in. A future where human beings finally grow up— not just biologically, but spiritually, emotionally, ethically. 🌱

🎓 From Homo Sapiens to Real Adults We’ve spent centuries learning how to survive. Now, maybe—finally—it’s time to learn how to be real adults.

Adults who care. Adults who listen. Adults who build a world bigger than themselves.

🕰️ From Symbols to Systems It took 190,000 years for humans to invent writing. And once we had it—it was hard to teach. So schools were created. 📚

As education progressed, we made more inventions: we discovered mathematics, and by the 17th and 18th centuries, we invented new forms of government.

These governments wrestled with a major tradeoff: ⚖️ balancing religious necessities with the radical new idea of equal rights.

But let’s be honest: those “equal rights” almost never applied to women. 👩🏽‍🦱🚫

Equality wasn’t a birthright. It was an invention. And that changes everything.

Because once we realize it's not a given— we can start to teach it. 💡

Diversity is the soul of freedom

📜 A Future-Built Foundation 🧠 Ideas, Not Just Institutions Fifty years from then, the world was going to be very different. And they knew it.

The founders weren’t just building a country for their time— they were building for a future they couldn't fully imagine. 🌍

⚙️ Systems Over Statues So they created it not as a frozen monument, but as a living framework—a set of ideas, processes, and experiments designed to adapt. 🔧📐

Not bound to 1776. Not bound to kings, popes, or prophets. Bound only to the question:

“How do we do this better?”

🧪 The Great Experiment They didn’t aim for perfection. They aimed for a system capable of self-correction. 🔁

That’s the genius. That’s the gamble. That’s the reason we’re still arguing—because we can. 🗣️💬

Awakening in the Age of Crisis Before Vietnam, a Mirror Cracked In a time of crisis—just before the Vietnam War—people began to wake up. A large percentage of the population was being oppressed: Native Americans, Japanese Americans, Black Americans. Ethnicity, heritage, language—these became invisible bars in a quiet prison.

This rupture sparked a renewed interest in morality—what the country "stood for." How could we claim to be good, when so much of our foundation was rotten?

Ideals Tested by Time Some ideas held up. Some didn’t. And that’s important.

Education—real education—was one of those ideals that proved resilient. But how do we teach in a way that embraces everything? That compares and contrasts knowledge without filtering it through a single culture’s lens?

Jerome Bruner and the Cultural Blindspot Jerome Bruner pointed out something brutal and honest:

"It’s hard to assess your own culture—because it’s the only thing you see."

We don’t notice the walls until we bump into someone else’s. We only start to see when we encounter others. That’s when we begin to use stats, science, stories—tools that gather local solutions from many places.

Some are good. Some are pretty awful. But the point is: it’s not about always being right. It’s about being aware.

From Local Noise to Global Signal The story of history has always been like this—messy, partial, reactive.

But now, we have a chance to move: From narrow, local views—where we assume we’re always right— To a movement, a new place, where multiple truths can sit side by side.

Where perspective isn’t a threat—it’s a tool.

The language was important invention

Believes in the same type of religions and custums so that people that we ahvnet met are still recognizable wen we run into them it too thousands of years with the invention of art and language before you were talking you were making arting

hi my name is Alan Kay and I like to apologize for having a bit of laryngitis just on the day of this shoot and I've been asked to talk about inventing the future and of course we mostly think of inventing in the realm of technology but I think most people watching this will have been struck by the fact that living in the 21st century in the United States is a vastly different experience than living a hundred thousand years ago anywhere in the world and as far as we know the brains that we have are roughly the same as those brains that belong to the very same species we are mostly lived in small groups of people hunting and gathering and falling in love and telling stories to each other and fighting other people taking revenge caring for the young and gradually building up a culture that they taught to the next generation in their tribe and the first great invention of human beings or of evolution was this idea of culture and it came from a slightly earlier invention of evolution which was language and there's a language that just as a few important ways more different than our primate ancestors and that was enough to be able to deal with sequences of things and portrayals of things and being able to make up things which we no other animals can do but be able to tell our made-up things to other people and get them to believe in it that started to allow us to aggregate together in larger than about a hundred people which is what we can deal with face to face so this notion of culture beliefs in the same kinds of religions beliefs in the same kinds of customs is something that can spread so that people we've never met are still recognizable when we finally do run into them so we can think about that as the first great inventing the future for Humanity and it took many tens of thousands of years with the invention art which may have always been with us in between before we started taking stock of the world around us and starting

For a long time, inventions were accidental. The rock was an accident. The idea of improvement is a modern one. We weren’t built for a world that changes. Society programmed us to resist change—we just found ways to enjoy ourselves as much as possible.

But eventually, we began shifting from accidental inventions to intentional ones. And those early inventions—like writing—started changing everything.

Writing itself was invented for accounting. Gradually, people started writing down what others were saying. Then they began comparing it with what had happened before. And even that took thousands of years.

The real revolution came just in the last few hundred years—when people became self-conscious about how we deal with the rest of the world. We stopped trying to understand and started interpreting everything through our belief systems. That shift was key. The invention of science—true science—was transformational.

Data quality assessment uses metadata (e.g. data catalogues, data models, and data profiles) to design data quality rules. It also produces numerous error reports and large volumes of other data quality metadata.

Key Concepts:

• Metadata: Data about data. For example, information like when a file was created, who created it, what format it’s in — that’s metadata.

• Data catalogues: Organized listings or inventories of all data assets in a system. Like a library catalog for your data.

• Data models: Diagrams or structures that show how data is organized, related, and stored.

• Data profiles: Summaries of data content — e.g., showing data ranges, patterns, or missing values to help understand data quality.

• Data quality rules: Conditions that define what "good data" looks like — e.g., “email addresses must contain @”.

• Error reports: Lists of data entries that violate data quality rules.

• Data quality metadata: Metadata specifically about errors, rules, and quality metrics.

• Data quality metadata warehouse: A centralized system or set of tools used to store, organize, and analyze all the metadata related to data quality. Think of it like a control room for managing data accuracy and health.

Data models define how data is structured and are crucial for data quality rule design.

They fall into four main categories:

• Relational models: Show logical relationships between entities and their attributes.
• Subject area models: Define main business object categories stored in the database.
• State-transition models: Map the life cycle of state-dependent objects.
• Temporal models: Represent time-based structures and event histories.

Subject area models organize data into broad business categories to give a high-level view of how data is grouped in an organization.

Think of them like folders in a filing system:<br /> Each subject area = a major topic or domain (like “Customers”, “Orders”, “Products”).

It doesn’t show details, just the big picture of what data the business cares about.

Example — for an e-commerce company:

Subject areas might be: - Customer Data - Product Catalog - Order Management - Shipping Info

This helps teams discuss and align on data organization before diving into tables and relationships.

specially true for government systems that dont have standarization implemented

We might be at this point , where the smartest solution is to take a look at what do we want from each source

I want to build tools so that these 2 can build stuff together

Data integration interfaces as artillery fire: These are the day-to-day hits—integrations between systems that can be complex, messy, and disruptive, but manageable. Like artillery, they’re destructive, but localized and expected.

Data decay as slowly debilitating starvation: Over time, data loses quality—gets outdated, duplicated, inconsistent. It’s not a sudden catastrophe, but it slowly weakens your systems and decisions, like starvation weakens the body.

Average data conversion project as a megaton bomb: Data conversions—like migrating from one system to another—are huge, risky efforts. They can blow up spectacularly if handled poorly, hence the “megaton bomb.” High-impact, hard to reverse, and potentially devastating.

Legacy data consolidation as a life-exterminating meteor: Trying to consolidate all legacy data (often unstructured, undocumented, scattered across systems) is the hardest and riskiest task. It’s unpredictable, and if it goes wrong, it can wipe out entire systems or projects—like the meteor that killed the dinosaurs.

Data Integration: Connecting different systems to work together by sharing and synchronizing data in real time or batch.

Data Decay: The gradual degradation of data quality over time, leading to outdated, incomplete, or inaccurate records.

Data Conversion: Transforming data from one format or system to another, usually during system upgrades or migrations.

Data Consolidation: Combining data from multiple sources (often legacy systems) into a single, unified structure for easier access and analysis.

This is why managing the code through the same entity system ensures that those changes are accounted for and can be analyzed in a logical manner

How can we limit things in the design of the system to have less typing.. auto completes

they inherit the last extinction event

This should be Our strategy when explaining to people that do data analysis and data migration what to do/spend their time

where is metadata stored ?

Therefore I wonder if it makes sense for us to rely on keeping the centralized construction of the entity linked form the db object we need to build the interface and rules into the database not into systems that cant be rebuilt because the speed in which we are building new technology superseeds our capacy to update. And it can't possibly be expected for us to have to migrate data every time a new visualization comes therefore we need to build the protocol that auto assembles the visualization for the interfaces I'm exited to see what the book has to say about this

The fragmentation of data is something that needs a clear strategy what do we do when there's data missing

I'm stealing this !!!!!

Amen.. I thank the author for the joke.

However if we had clear interfaces for managing database structures then this might be something that's more easily preventable what if we introduce preflights from the get go instead of going ad-hock.

We need to make the ER system transparent in Greb so that we have a clear structure that shows people how the data is being built I think that an entity resolution interface is worth thinking about how could it look? whats the MVP?

Bingo, we need to expand on what is Silo and what not The word silo comes from Spanish silo, meaning “pit for storing grain,” which traces back to Greek siros or seiros — a pit for holding grain or corn.

First used in English in the 1830s to mean underground grain storage; the metaphorical/organizational use (as in "data silo") started in the 1970s–1980s in business and IT contexts.

Yeah because you can have multiple entity references to a real world entity and thats when ER comes into play

GRRR... this took me months to to figure out by myself -.- should have read this.

In practice... when you have 3 matches that are identical and want to select one of them and archive an do other things you do need a "forced" ID this was my conclusion after a few rounds of prototyping

at the beginning of the project we don't know which identity attributes will produce an unique match

BINGO UUID

Identity Attributes is na interesting concept since it specifies a type of structure that can be used to do entity resolution. passport, driver license, they all should probly end up with an UUID

This is key in a database that will compare all aspects of entities

Unless we simplify what data its available and how to access it and come up with a better way to interconnect systems. It's crazy to think of all the hoops you need to jump to ge to tabulated data.

Welcome! the entire website is commented in hypothesis you can add your comments here notes, revision this is a live page

Hola Bienvenido al site de Greb, soy fan de hypothesis y he decidido que los comentarios en esta version web y los secretos estarán en forma de anotaciones esto permite mantener las cosas organizadas.

Hello and welcome, feel free to leave comments here on the Hyphotesis annotations for this page I'm a big fan and I think that having this extra layer of annotations enriches the process.

Sería bueno generar este arte para tenerlo listo

Falta ortográfica

Yo juraba que era tio tuyo

Mi querido esposo, casado con el riesgo y el drama de sus historias ,

nada como el riesgo y drama de estar contigo

Coincidencialmente se hacer esto con una baraja y unos cuantos trucos

Un juego de cartas marca Bicycle pudiera ser interesante

Submarino CG en mar picado

Please explain to me how it is not evident to programmers that this is how we program.. we cannot hold more than seven items at a time. We cannot fracture. As Miller mentioned, 2 3 digit numbers are outside t capacity, but if you multiply them by paper w, if we free your memory, we can let the brain focus on the v

If you assign the memory function to a diagram, you can let your brain concentrate on the manipulation function.

Once we codify, we no longer have to keep the information in memory, for example : This hurts my brain

There are five roads in Brown County. One runs from Abbeville to Brownsville by way of Clinton. One runs from Clinton to Derbyshire by way of Fremont. One runs from Fremont to Brownsville by way of Abbieville. That's all the roads in Brown County, and all the roads in and out of those towns.

Which towns have roads connecting them directly to three other towns? Which towns have roads connecting them directly to only two other towns? How many towns must you pass through to get from Brownsville to Derbyshire?

But if we diagram it to a map, all of this makes sense.

"The learning of numbers and language must be subordinated ... Visual understanding is the essential and only valid means of teaching how to judge things correctly." ~ Johann Heinrich Pestalozzi

Pestalozzi was the guy who designed the educational system in which Einstein, the most extraordinary visualization of his time, was born q

There are a total of four development stages described in Piaget's theory: the sensorimotor stage, the preoperational stage, the concrete operational stage, and the formal operational stage.

You shouldn't probably teach

Symbolic manipulations aren't suitable for young kids. Geometry is better

Bruner says that when the kid is 6 years old you can trick the kid to learn symbolic thinking

Sutherland's thesis discusses the complexities of programming, particularly with data structures like rings and the challenges of manipulating them. He also talks about the organization of elements in a drawing system, like Sketchpad, into types for easier manipulation and generalization.

Let's break down some of these concepts:

1. Ring Structures: A ring is a data structure where each element points to the next, forming a loop. This can be visualized as a circular linked list. In Python, we don't have a built-in ring structure, but we can simulate one using lists:

```python ring = [1, 2, 3, 4, 5] # This is our ring structure current_index = 0 # We start at the first element

To go to the next element:

current_index = (current_index + 1) % len(ring) # This will loop back to the start when we reach the end ```

1. Relative Addressing: This is a way of specifying a location in memory relative to another location. In Python, we use indexing to access elements relative to the start of a list:

```python list = [10, 20, 30, 40, 50]

To access the third element:

third_element = list[2] # Python uses 0-based indexing, so index 2 is the third element ```

1. Generic Structure, Hierarchies: Sutherland talks about organizing elements into types, which can be thought of as classes in Python. Each class can have specific methods for its type, and a general method can call these specific methods when needed:

```python class Circle: def display(self): print("Displaying a circle")

class Square: def display(self): print("Displaying a square")

The general function

def display_shape(shape): shape.display() # This will call the appropriate method depending on the type of shape

circle = Circle() square = Square()

display_shape(circle) # Prints "Displaying a circle" display_shape(square) # Prints "Displaying a square" ```

This way, the general function doesn't need to know the specifics of each shape, it just needs to know that each shape has a display method. This is an example of polymorphism in object-oriented programming.

In simpler terms, Sutherland's thesis is discussing the basic operations of a data structure known as a ring. A ring is a type of list where the elements are connected in a circular manner. The operations he mentions are:

1. Inserting a new element into the ring at a specified location.
2. Removing an element from the ring.
3. Moving all elements of one ring, in order, into another ring at a specified location.
4. Performing an operation on each member of a ring in either forward or reverse order.

These operations are implemented using macro instructions in the compiler language. A macro instruction is a directive to the compiler which specifies how an input pattern should be mapped to an output pattern.

The thesis also discusses the generation of new elements. Subroutines are used to set up new elements in free spaces in the storage structure. When parts of the drawing are deleted, the registers representing them become free and are placed in a 'FREES' ring. New components are set up at the end of the storage area, while free blocks are allowed to accumulate. A process called 'garbage collection' periodically compacts the storage structure by removing the free blocks and relocating the information above them.

In Python, the ring data structure can be implemented using a doubly linked list. Here's a simple example:

```python class Node: def init(self, data): self.data = data self.next = None self.prev = None

class Ring: def init(self): self.head = None

def append(self, data):
    if not self.head:
        self.head = Node(data)
        self.head.next = self.head
        self.head.prev = self.head
    else:
        new_node = Node(data)
        new_node.prev = self.head.prev
        new_node.next = self.head
        self.head.prev.next = new_node
        self.head.prev = new_node

def display(self):
    temp = self.head
    while True:
        print(temp.data, end = " ")
        temp = temp.next
        if temp == self.head:
            break

```

In this example, the Node class represents an element in the ring, and the Ring class represents the ring itself. The append method is used to add a new element to the ring, and the display method is used to print all elements in the ring.

In Sutherland's thesis, he discusses the concept of ring structures, which can be thought of as a type of data structure where elements are connected in a circular manner. This can be compared to a Python list where the last element points back to the first one, forming a "ring".

In the context of his thesis, Sutherland uses the terms "hen" and "chicken" to represent elements in this ring structure. A "hen" can be thought of as the starting point or the head of the list, while a "chicken" represents other elements in the list.

The operations he describes - inserting a new chicken into a ring at a specific location, removing a chicken from a ring, putting all the chickens of one ring into another at a specific location, and performing some auxiliary operation on each member of a ring in either forward or reverse order - can be compared to operations on a Python list.

For example, inserting a new chicken into a ring can be compared to inserting an element into a Python list at a specific index:

```python

Python list

ring = ['hen', 'chicken1', 'chicken2']

Insert new chicken at index 1

ring.insert(1, 'new_chicken') ```

Removing a chicken from a ring can be compared to removing an element from a Python list:

```python

Remove 'chicken1' from the list

ring.remove('chicken1') ```

Putting all the chickens of one ring into another at a specific location can be compared to extending a Python list with another list:

```python

Another ring

another_ring = ['hen2', 'chicken3', 'chicken4']

Extend ring with another_ring

ring.extend(another_ring) ```

Performing some auxiliary operation on each member of a ring in either forward or reverse order can be compared to iterating over a Python list in forward or reverse order:

```python

Forward order

for chicken in ring: print(chicken)

Reverse order

for chicken in reversed(ring): print(chicken) ```

The concept of "MACRO instructions" he mentions can be compared to Python functions that encapsulate these operations for easy use.

A list

Ivan writes about a concept called "Ring Structure". This is a way of organizing and linking different elements or components in a system.

In simpler terms, imagine you have a bunch of different objects (like points and lines in a drawing program like Sketchpad). You want to keep track of how these objects are related to each other. For example, you might want to know all the lines that end at a particular point.

To do this, Ivan uses a "ring structure". Each object has a "string of pointers" - basically a list of references to other objects. This list is circular - the last item in the list points back to the first item. This makes it easy to move forwards and backwards through the list.

Each object has two "registers" or slots for keeping track of these relationships. One slot is for the object itself, and the other is for the list of related objects.

Ivan uses the terms "hen" and "chicken" to describe these slots. The "hen" is the object itself, and the "chicken" is the list of related objects.

Here's a simple Python code example to illustrate this concept:

```python class Point: def init(self): self.hen = self self.chickens = []

class Line: def init(self, point1, point2): self.hen = self self.chickens = [point1, point2] point1.chickens.append(self) point2.chickens.append(self) ```

In this example, a Point object has a hen that refers to itself and a list of chickens that will contain any Line objects that end at this point. When a Line is created, it adds itself to the chickens list of its end points.

The "ring structure" is a way to organize and link different elements in a system, making it easier to find and update related elements.

The text is discussing a concept in computer programming called "reverse indexing".

In simple terms, reverse indexing is a way to access data in a list or array by starting from the end, rather than the beginning. In Python, you can use negative numbers to do reverse indexing. For example, if you have a list of numbers:

python numbers = [10, 20, 30, 40, 50]

You can access the last item in the list (50) by using -1 as the index:

python print(numbers[-1]) # Outputs: 50

The text also talks about "index registers". These are special places in a computer's memory where it can quickly store and retrieve data. In the context of the text, the index registers are being used to keep track of positions in a list or array.

The text also mentions "accumulator". In computer science, an accumulator is a register where intermediate arithmetic and logic results are stored.

The text also talks about "pointers". In simple terms, a pointer is a variable that stores the memory address of another variable. In Python, everything is an object and every variable holds the reference to the object (the address in memory), so you can say Python has pointers.

The text also mentions "instructions". In the context of computer programming, an instruction is a command given to the computer to perform a specific operation.

Mnemonics for Registers: Instead of remembering numerical indices, we use human-readable keys.

python point = {'TYPE': 'Point', 'PVAL_X': 5, 'PVAL_Y': 10}

Flexibility: If we want to change the internal structure, we can easily do so by changing the keys.

```python

Changing 'PVAL_X' to 'X_COORD'

point = {'TYPE': 'Point', 'X_COORD': 5, 'PVAL_Y': 10} ```

Conventions:

• The first component ('TYPE') indicates the type of element.
• Numerical information like coordinates is stored at the end.

python line = {'TYPE': 'Line', 'START': 'point1', 'END': 'point2', 'LENGTH': 7.2}

Pointers and Topology: We can use pointers (references) to other elements to establish relationships.

python point1 = {'TYPE': 'Point', 'PVAL_X': 1, 'PVAL_Y': 1} point2 = {'TYPE': 'Point', 'PVAL_X': 4, 'PVAL_Y': 5} line = {'TYPE': 'Line', 'START': point1, 'END': point2}

Relocation: If we move point1 to a new variable, we update the pointer in line.

python new_point1 = point1 # Relocating point1 to new_point1 line['START'] = new_point1 # Updating the pointer

Segregation of Data: Numerical data is at the end, so if we need to move elements, the numerical data remains untouched.

```python

Even if we relocate, the numerical data ('PVAL_X' and 'PVAL_Y') remains the same.

```

mne•mon•ic | na'mänik | noun a device such as a pattern of letters, ideas, or associations that assists in remembering something, for example Richard Of York Gave Battle In Vain for the colors of the spectrum (red, orange, yellow, green, blue, indigo, violet): / had to invent a mnemonic, in other words a prompt, that I could use in chemistry exams. adjective aiding or designed to aid the memory: in terms of leadership, l use the mnemonic device OATE: ownership, accountability, transparency, and empowerment. • relating to the power of memory.

look into this dont understand

The most important Contribution of the Sketchpatd System

1. Copying Definitions
2. Recursive Merging

This is a year in

Everything is a feature

NOTE: the original version can be found here

This confused me but makes sense because you're essentially branching off the main template so no more updates that's fine

I ended up finding this book, and I've been going through it. It's an interesting concept to explore. It requires a leap to not want to understand a definition by western means, but rather feel the concept of what it is. This is very high-level thinking for the time, and I'm surprised there's so little on this.

Intuitive thinking from the point of view of philosophy and the emotional side has obscured a section of scientific thinking, which should be considered connected to our subconscious. This is the big distinction that he wants to say, "Hey, we can solve science with the subconscious, but we need to redefine our notion of where knowledge comes from." 🧠💡

important not to push or obsessions to others.

intuitive thinking as with Aristoteles brings discovery because basing upon nothing and bringing things to light is a part of this process

Very greb, I'm like this

I can see him struggling with this concept at this point I dont think we had greb the concept of arts as not something you do but a part of expressing what you have to say

There are many techinical people that are into arts and we think of that as an oddity but art is technology

```python def possibility(): # A possibility may or may not be may_be = True may_not_be = False return may_be, may_not_be

def meaning(): # A meaning is its possibility return possibility() ```

In this idea, possibility() returns two states: may_be and may_not_be, representing the existence and non-existence of a possibility. The meaning() function returns the same states, indicating that a meaning is its possibility.

It doesn't claim that science can explain everything, but rather, it uses science to explore and understand our understanding of the world. The surprising part is that the science it uses is the same science we use daily, so nothing new needs to be learned or old knowledge discarded.

One example of a surprising discovery made through Plex is that, contrary to Stephen Hawking's theory, there was no beginning to time and space. This contradicts the popular "big bang" theory, which suggests there was an initial moment when time and space began. According to Plex, this idea of a "big bang" is just a result of how our current science views the nature of the universe.

Plex also differs from other scientific approaches in that it doesn't rely on axioms, which are assumptions made without proof. Instead, Plex only uses definitions, meaning it only accepts as true what can be clearly defined and understood.

We're saying let's consider the concept of a "big bang". In traditional science, we might assume the existence of a "big bang" like this:

instead of thinking big_bang = True

But in Plex, we would only accept the "big bang" if we can define it:

python def big_bang(): # Define what a "big bang" is # If we can't define it, then it doesn't exist in Plex pass

Let's not assume reality but rather just try to define the elements we need to use

I think that Plex is scientific philosophy that aims to understand our understanding of nature, rather than nature itself. It emphasizes that our understanding of nature determines our role in the scheme of things.

In simpler terms, Plex is about how we perceive and interact with the world around us. It's not about the actual nature of things, but about how we understand and interpret them.

For example, if a being could only perceive magnetic fields, then anything non-magnetic would be invisible or non-existent to it. That's its understanding of nature, and it would behave accordingly.

The text also mentions that Plex doesn't have axioms, which are fundamental truths or principles that are accepted without proof. Instead, it only has definitions. This means that Plex doesn't assume anything to be true without defining it first.

The author also challenges the concept of a "big bang" or a beginning of time, stating that this idea is an artifact of our current scientific understanding, and that Plex offers proofs that there was no beginning.

Here's a Python analogy to help understand this concept:

```python class Being: def init(self, understanding): self.understanding = understanding

def perceive(self, nature):
    return self.understanding(nature)

def magnetic_understanding(nature): return 'magnetic' in nature

def non_magnetic_understanding(nature): return 'non-magnetic' in nature

magnetic_being = Being(magnetic_understanding) non_magnetic_being = Being(non_magnetic_understanding)

nature = ['magnetic', 'non-magnetic']

print(magnetic_being.perceive(nature)) # True print(non_magnetic_being.perceive(nature)) # True ```

In this example, Being represents a being in Plex. Each being has an understanding of nature, which is a function that takes nature as input and returns a perception. The magnetic_understanding and non_magnetic_understanding functions represent different ways of understanding nature. When a being perceives nature, it uses its understanding to interpret it. The magnetic being can perceive magnetic things in nature, while the non-magnetic being can perceive non-magnetic things.

Interesting concepts

💆‍♂️

previous work

Look into

The decision to actually implement a drawing system reflected our belief that knowledge of the facilities, which would be useful, could only be attained by actually testing them. The decision to implement a drawing system did not imply however, that brute force techniques were to be employed to computerize ordinary drafting tools.

In other words if it is easy to change , modify customize the system then users will indeed modify it and make it uniquely theirs.

This section is vital for assessing the capabilities of the remember or the system and knowing what your tools can do.

I think this fits with Ray Dalios definition of baseball card management.

Really interesting concept explicit-human and explicit-artiact

Running this on

emulator

This is such an important concept we need to rescue