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i3T Videos
Приєднався 9 кві 2014
Відео
Casa Contemporanea Fachada y espacios exteriores
Переглядів 2349 років тому
Casa Contemporanea Fachada y espacios exteriores
Casa Contemporanea Living Sala de estar
Переглядів 2929 років тому
Casa Contemporanea Living Sala de estar
las canciones tienen actos del habla.....ese mar que tranquilo te baña te promete ....puro chile tu cielo azulado=afirmacion.....y tu campo de flores bordados=juicio......
Clarisimo!! muchas gracias!!
Buena explicación se entiende perfecto en el curso donde estoy aquí en Panamá el chef empieza explicando y se va por otro lado y no termina la explicación😢😅
La sra tosio y se tapo con la mano debería lavarse para tocar los alimentos y no lo hizo😢
anda borracho el de la cameara ??
Muy didáctico el chef buena enseñanza
Gracias por esas enseñanza me gusto saludos desde colombia
Genial me encanta El consejos me encanta me ayudara muchisimo muchas grasias tanbien me suscribi a su canal por que me encanto
Muy buena la explicación. Lastima que quien realizó la grabación,no para de moverse y enfoca mal. 🤦
Solo los que estuvieron trabajando en la cocina han experimentado un corte de verdad con un cuchillo y aprendieron a picar como un profesional,jejejej
Trabajo de recuperación xddd🤙
DEVERAS?
Wow
hable con mas claridad, y enfoque mejor la grabación. 4/10. saludos
Terminado en menos de 30min
Alguien tiene el resumen? :(
Notable exposición. Entender la causalidad eficiente humana como infieri frente a la in facto esse parece ir en la línea de su pregunta.
PUEDE SER EFICIENTE O INEFICIENTEUN ESTADO ? LO ES !! VOUCHER, REGALAR PLATA. EDUCACION PRIVADA FIN
Pero es que a eso se refiere. No se trata de que el estado financie a todos, pero imaginate que eliminen el ministerio completo y toda su grasa estatal y dejaran solo al ministro de educación como se hizo en nueva zelanda. Quienes necesitan, obtienen el voucher y así eligen a un privado que pueda darles esa educación, según el modelo de educación que los padres quieran. Así funciona en NZ y es increíble.
O sea el estado te da el dinero y tu te lo gastas en tu educación?
Eso porq si ese mismo monto se lo pasas al Burócrata no te llega ni el 20% al final, el político lo roba casi todo
Así es. Imagina que a quienes necesitan educación, el estado pueda apoyar con un voucher que SOLO PUEDE SER UTILIZADO EN EDUCACIÓN, los recursos serían utilizados de forma más eficiente porque tu eliges, libre el modelo de educación y así los colegios pueden competir y mejorar. En Nueva Zelanda funciona asi y es buenisimo.
Excelente profesor ♥️ lamentablemente la grabación en sí los ruidos atrás, la inquietud del que graba y todo pero me ha servido muchas gracias 🤍
El camarógrafo es una .... Tu chep mis respetos
Asi debe ser un curso los puso a practicar. Buen video.
Uds tiene algún instinto online para tomar algún curso..?
Me encantó la explicación de este tema .. ahora estoy estudiando coaching ontologico y esto me re sirve...
Puede ser interesante, pero el que grabo no tiene ni idea y ademas tiene pulso de maraquero
Un chef super paciente para enseñar, y para explicar, si me hubieran explicado así la primera vez tal vez hasta me gustaría cocinar
hola gran vidio gran cocinero un saludo
👌👌👌👌👌👌👌👌👌
👏👏👏👏👏👏👏👏
Excelente explicacion muy buena informacion y muy buena la manera de explicar del Chef, tendran informacion sobre el canal de ese Chef si es que lo tiene?
hola chef un saludo y un abrazo bueno la verdad son muy buenas las tecnicas de corte que usted emplea en el cuchillo sin embargo el uso del cuchillo al tomarlo es incorrecto con el dedo eso es solo lo unico de ahi usted muy bien
No que no debes usar la mano como tabla para cortar? Uso la mano para pelar el tomate,🤔😛
Gracias por compartir. Muy didáctica la exposición. Abrazos
Here is a summary of the work that has the title: How a computer can invent by itself (i.e. the Methods for developing inventions with the help of which three programmers can easily create a program using which a computer can invent many inventions by itself) Let’s suppose that two such conditional propositions are written to the computer memory (and also other conditional propositions are written): 1) If: fire is placed under the stone, then: the stone will heat up. 2) If: the stone will heat up, then: the stone will expand. Words of conditional proposition which stand from (i.e. after) the word «if» and before the word «then» are called the basis of conditional proposition, and words of conditional proposition that stand after the word «then» are called the consequence of conditional proposition. Let’s suppose that computer should solve the following inventive task, i.e. the computer has to determine what needs to be done to have the following: the stone will expand (i.e. the computer has to determine how the following can be obtained: the stone will expand), let’s call this task the original inventive task (let’s assume that this task has not been solved yet). From the second conditional proposition it follows that in order for the computer to solve the original inventive task it is necessary for the computer to solve the following inventive task, i.e. it is necessary for the computer to determine what needs to be done to obtain the following: the stone will heat up (i.e. it is necessary for the computer to determine how the following can be obtained: the stone will be heated); let’s call this task the second inventive task. And (from the first conditional proposition it follows that) in order for the computer to solve the second inventive task, it is necessary for it to solve the following inventive task, i.e. it is necessary for the computer to determine what needs to be done to have the following: fire will be placed under a stone (let's call this problem the third inventive task). ))And the third inventive task has been solved, because it is known how to get the following: fire will be placed under a stone. And if the third inventive task has been solved, then the second inventive task has been solved too. And if the second inventive task has been solved, then the original inventive task has been solved too. The Rule: Let’s take any inventive task (let's call this inventive task the fourth inventive task). In order for a computer to create an inventive task, having solved which it thereby solved the fourth inventive task, it is necessary for the computer to find in its own memory such a conditional proposition that has the following feature: the consequence of this conditional proposition and description of this fourth inventive task have the same meanings or consist of the same words which are located in the same sequence. And the basis of this conditional proposition will be an inventive task, having solved which the computer thereby solves the fourth inventive task. They have the same meanings: a) the word and interpretation of this the word b) synonyms and so on. Computer can find the same words in its memory. Let's take any inventive task (let's call this inventive task the fifth inventive task). The computer will solve the fifth inventive task if it does the following: first, using this rule, it will create such an inventive task (let’s call this task the sixth inventive task), having solved which it thereby solves the fifth inventive task, then, using this rule, the computer will create such an inventive task, having solved which it thereby solved the sixth inventive task, etc., (on average 90 times) to the moment at which (i.e. until) the computer creates such an inventive task the solution of which is known, and if the computer creates such (i.e. the latter) inventive task, then the computer will solve the fifth inventive task. That is, the computer will solved the fifth (i.e. any) inventive task if it creates on average 90 such tasks. Almost all currently known information (which is needed to create inventions) can be expressed in the form of conditional propositions. If, for example, 400 random physical effects in the form of conditional propositions are stored in the computer memory, then the computer can create on average a lot of inventions using this method (an average inventor knows 150 physical effects).
Computer by itself created 40000 inventions I believe that with the help my work (which is outlined here www.55255.ru/) of mine, two companies (independently of each other) created programs, with the help each of these programs, the computer by itself can invent many inventions. As a result of this, the computer by itself created 40000 inventions. The addresses of the sites of these companies such www.method.ru/, www.truemachina.com/ But the creators of these programs apparently has not published information that they have used (I suppose) my abovementioned work for create these programs. Thanks to this our company striving for creation for the third time with the help of this my work of the program using which a computer could independently invent many inventions. I offer you cooperation in this. The computer with the help of the program "True Machina" created 40000 (forty thousand) inventions, this is Tsurikov said at the end of the film which is located at ua-cam.com/video/0by8g0G0HRI/v-deo.html and at the end of this film Tsurikov said that he (and his company) was for to create the program "True Machina" used published invention methods which he and his company did not create. It was only at the end of 2018 that the computer began to create inventions by itself through the program created by Tsurikov and his assistants. I published this my work in 1981 year. The business plan: I am the Director of company «Tonna zolota». I will hire three programmers. And in one year they will easily create a program with the help of this work, by means of which a computer will be able to invent many inventions by itself. For the salary of programmers and other expenses $ 50000 will be necessary. 49% of profit on sale of inventions (and the other) will be yours, and 51% our company. To implement this plan it is necessary that you give our company $ 50000 or hire three programmers yourself. Yours faithfully, Shmonov Aleksandr
pesimo video, que lástima
Here is a summary of the work that has the title: How a computer can invent by itself (i.e. the Methods for developing inventions with the help of which three programmers can easily create a program using which a computer can invent many inventions by itself) Let’s suppose that two such conditional propositions are written to the computer memory (and also other conditional propositions are written): 1) If: fire is placed under the stone, then: the stone will heat up. 2) If: the stone will heat up, then: the stone will expand. Words of conditional proposition which stand from (i.e. after) the word «if» and before the word «then» are called the basis of conditional proposition, and words of conditional proposition that stand after the word «then» are called the consequence of conditional proposition. Let’s suppose that computer should solve the following inventive task, i.e. the computer has to determine what needs to be done to have the following: the stone will expand (i.e. the computer has to determine how the following can be obtained: the stone will expand), let’s call this task the original inventive task (let’s assume that this task has not been solved yet). From the second conditional proposition it follows that in order for the computer to solve the original inventive task it is necessary for the computer to solve the following inventive task, i.e. it is necessary for the computer to determine what needs to be done to obtain the following: the stone will heat up (i.e. it is necessary for the computer to determine how the following can be obtained: the stone will be heated); let’s call this task the second inventive task. And (from the first conditional proposition it follows that) in order for the computer to solve the second inventive task, it is necessary for it to solve the following inventive task, i.e. it is necessary for the computer to determine what needs to be done to have the following: fire will be placed under a stone (let's call this problem the third inventive task). ))And the third inventive task has been solved, because it is known how to get the following: fire will be placed under a stone. And if the third inventive task has been solved, then the second inventive task has been solved too. And if the second inventive task has been solved, then the original inventive task has been solved too. The Rule: Let’s take any inventive task (let's call this inventive task the fourth inventive task). In order for a computer to create an inventive task, having solved which it thereby solved the fourth inventive task, it is necessary for the computer to find in its own memory such a conditional proposition that has the following feature: the consequence of this conditional proposition and description of this fourth inventive task have the same meanings or consist of the same words which are located in the same sequence. And the basis of this conditional proposition will be an inventive task, having solved which the computer thereby solves the fourth inventive task. They have the same meanings: a) the word and interpretation of this the word b) synonyms and so on. Computer can find the same words in its memory. Let's take any inventive task (let's call this inventive task the fifth inventive task). The computer will solve the fifth inventive task if it does the following: first, using this rule, it will create such an inventive task (let’s call this task the sixth inventive task), having solved which it thereby solves the fifth inventive task, then, using this rule, the computer will create such an inventive task, having solved which it thereby solved the sixth inventive task, etc., (on average 90 times) to the moment at which (i.e. until) the computer creates such an inventive task the solution of which is known, and if the computer creates such (i.e. the latter) inventive task, then the computer will solve the fifth inventive task. That is, the computer will solved the fifth (i.e. any) inventive task if it creates on average 90 such tasks. Almost all currently known information (which is needed to create inventions) can be expressed in the form of conditional propositions. If, for example, 400 random physical effects in the form of conditional propositions are stored in the computer memory, then the computer can create on average a lot of inventions using this method (an average inventor knows 150 physical effects).
How a computer can invent by itself Hello. IBM and Softline companies help our company (which is called company a ton of gold) to implement the work called: How a computer can invent by itself (i.e. the Methods for developing inventions, with the help of which three programmers can easily create a program using which a computer can invent many inventions by itself). I believe that inventions that the computer will create using this program can be sold for hundreds of millions of dollars. I ask you to contribute to implementation (i.e. use) of this work, or I ask you to implement (i.e. use) this work. I am the author of this work. This work and my phone are set out on the website www.55255.ru/ I believe that with the help of this work of mine, two companies (independently of each other) created two programs, with the help of each of which the computer by itself can invent many inventions. As a result of this, the computer by itself created 40000 inventions. The addresses of the sites of these companies such www.method.ru/, www.truemachina.com/ But the creators of these programs apparently has not published information that they have used (I suppose) my abovementioned work for create these programs. So our company striving for creation for the third time with the help of this my work of the program using which a computer could independently invent many inventions. My e-mail 275527@gmail.com The business plan: I am the Director of company «Tonna zolota». I will hire three programmers. And in one year they will easily create a program with the help of this work, by means of which a computer will be able to invent many inventions by itself. For the salary of programmers and other expenses $ 50000 will be necessary. 49% of profit on sale of inventions (and the other) will be yours, and 51% our company. To implement this plan it is necessary that you give our company $ 50000 or hire three programmers yourself. Yours faithfully, Shmonov Aleksandr
Interesante, les sugiero complementar la información con el libro "la empresa emergente " de Rafael Echebarria
Se ve y se siente la tensión entre los participantes al curso, los nervios no dejan ejecutar los cortes.
Genial explicación del chef, lástima del que le echa la azúcar a los churros graba pésimo no lo terminé porque me mareo ojalá hagan otro con cámara en tripié saludos
excelente clase, lo que si un pequeña mención, el dedo en la hoja causa problemas con tendinitis
Hola profe me podrías ayudar en una actividad de actos de habla
Un gusto para este video y me canta la manera has hecho la enseñanza chef Soy estudiante en gastronomía y aprendí mucho más con tú clase te felicitó
Felicitación para el chef pero podrían mejorar el video, pensaría en un tripié y una toma abierta!
mu y bien explicado super claro.
Una duda: ¿De dónde se saca la categorización en países o sociedades? Quiero confirmar quién habla sobre las estructuras de cada país y si, por ejemplo, de querer ir a Italia atenerme a la organización que se maneja allá (Sea trabajar o estudiar)
Quienes tienen este tipo de casas??
Muy bien pero tu lenguaje no es claro ni efectivo
Podría haber sido un video estupendo y muy instructivo si el que lo grabó no lo hubiera estropeado entero.
Bien por el cocinero