Skip to main content

Machines can never be as intelligent as human beings

Machines can never be as intelligent as human beings, although it is just a matter of perspective! By the term intelligence, if you refers only the modelling of human behavior [weak AI],it might b possible with the help of a large computational power. But if u want to built the real intelligence [strong AI], the task is going to b tough.

In 1980, John Searle introduced a famous thought experiment called Chinese room experiment. He argued that intelligence can never be attained with the blind manipulation of symbols, as suggested by "The physical symbol system hypothesis"[by Newell and Simon, 1976].The thought experiment is explained bellow.

"Consider an 'intelligent machine”, which answers to questions asked in Chinese, back in Chinese. Then, given the algorithm of the machine, one who doesn't speak Chinese can also answer the Chinese qns, executing the algorithm line by line. But that don’t makes him know Chinese. Like this, the "intelligent" machine was also just blindly manipulating the code, just like the latter did."
It’s true they can never be as intelligent as me and you But they can make a logical choice with the highest probability count along with current perceive and future reference. The large computational power makes them analyse a problem faster and accurate. And real AI calls for real time system that means Time constraints and they have the power

Knowing Chinese and speaking Chinese are two different things. Knowing is a in-depth knowledge about a language, like all the slangs, polite/impolite words whereas speaking is like using jumble of words you know to express yourself. Language as a mode of communication can't be decisive among Intelligent/Stupidity.
 Machines can never learn and understand any language they merely can imitate us But nowadays, studies on imitating the human brain in the neuron level are going on(Advanced Neural N/W)But, if we need to really implement a real AI system, we first need to look into ourselves, to our brain. We need to understand what the real ingredients of our intelligence are, and how they work.
See the ingredients or sources of intelligence are different for different peoples that’s how you interpret them. The data for example. this post is a data for you (a source of intelligence) you brain is doing that for you.Interpreting. But for others.I’ts just another post or bunch of letters.
Talking of A.I .it cannot be made .it has to form. The basic thing is that we cannot a make a A.I directly.

One can make a collective set of programs which can learn and become intelligent
Our Brain is quite capable to store a lot of data. and the way we r able to retrieve the data. Conceptually. data mining. how fast this get can and how well data could it be mapped by the programs.
Human are not born with the capability to speak any language .they learn it.
I and our brain is letter to sound and den words to meaning .even we don’t know meaning of some words. Machines can never b as intelligent as human beings, although it is just a matter of perspective! By the term intelligence, if u refers only the modelling of human behavior[weak AI],it might b possible with the help of a large computational power.  if you want to built the real intelligence[strong AI],the task is going to be tough.

In 1980, John Searle introduced a famous thought experiment called Chinese room experiment. He argued that intelligence can never be attained with the blind manipulation of symbols, as suggested by "The physical symbol system hypothesis"[by newell and Simon,1976].The thought experiment is explained bellow.

"Consider an 'intelligent machine”, which answers to questions asked in Chinese, back in Chinese.  Then, given the algorithm of the machine, one who doesn't speak Chinese can also answer the Chinese questions, executing the algorithm line by line. But that don’t makes him know Chinese. Like this, the "intelligent" machine was also just blindly manipulating the code, just like the latter did."
it's true they can never be as intelligent as me and you. but they can make a logical choice with the highest probability count along with current perceive and future reference. The large computational power makes them analyse a problem faster and accurate. And real AI calls for real time system. that means. time constraints. And they have the power

According to me knowing Chinese and speaking Chinese are two different things. Knowing is a in-depth knowledge about a language, like all the slangs, polite/impolite words. Whereas speaking is like using jumble of words you know to express yourself. Language as a mode of communication can't be decisive among Intelligent/Stupidity.
Our Brain is quite capable to store a lot of data.and the way we r able to retrieve through data.Conceptually.data mining.how fast can this get and how well data could it be mapped.by the programs.

Human are not born with the capability to speak any language .they learn it.
Letter by letter. We learn them in the hardest way. By striking the same letter some 100 times a day. means at a very early stage we are trying to map the letter to sound and den words to meaning.

Mean our brain is letter to sound and den words to meaning. even we don’t know meaning of some words. because we haven't applied those in our life. And sometimes we don’t remember some words which we use less. Here the mining capability of brain.or to adjust the weights of neuron path in order to match the conception of ours to word fails.

Popular posts from this blog

Resolved : Power BI Report connection error during execution

Getting Below Power BI Report connection error during execution . Error: Something went wrong Unable to connect to the data source undefined. Please try again later or contact support. If you contact support, please provide these details. Underlying error code: -2147467259 Table: Business Sector. Underlying error message: AnalysisServices: A connection cannot be made. Ensure that the server is running. DM_ErrorDetailNameCode_UnderlyingHResult: -2147467259 Microsoft.Data.Mashup.ValueError.DataSourceKind: AnalysisServices Microsoft.Data.Mashup.ValueError.DataSourcePath: 10.10.10.60;T_CustomerMaster_ST Microsoft.Data.Mashup.ValueError.Reason: DataSource.Error Cluster URI: WABI-WEST-EUROPE-redirect.analysis.windows.net Activity ID: c72c4f12-8c27-475f-b576-a539dd81826a Request ID: dfb54166-c78f-4b40-779f-e8922a6687ad Time: 2019-09-26 10:03:29Z Solution: We found report connection not able to connect to SQL Analysis service so tried below option. Re

Song- Khamoshiyan Piano keyboard Chord,Notation and songs Lyrics

All songs notation and chords at one place

Song : O Saathi Re Film : Mukhathar Ka Sikkandhar Uses : C D D# E G A Note : The numbers at the end of the lines indicate line numbers. Pallavi: O saathi re, tere binaa bhi kya jina, tere binaa bhi kya jina A- C D D#....,D D C DD E...C..CA-...,D D C DD E...CC.......1 Play line 1 again phulon men khaliyon men sapnom ki galiyon men GGG...GAGE.. GGG G A G E.................................................2 tere bina kuchh kahin naa E A G E D C D D#.......................................................................3 tere binaa bhi kya jina, tere binaa bhi kya jina D D C DD E....C..CA-..., D D C DDE....CC.............................4 Charanam: har dhadkan men, pyaas hai teri, sanson men teri khushboo hai CCC C D C A-, CCC C D C A-, DDD DED CD EE.. CCCC......................5 is dharthi se, us ambar tak, meri nazar men tu hi tu hai CCC C D C A-, CCC C D C A-, DDD DED CD EE.. CCCC......................6 pyaar yeh tute naa GGG... GAG D#......E.........................