6 min Read
LLMs like ChatGPT continue to demonstrate how over-rated human intelligence is!
For the longest time, we humans have assumed that we have vastly superior intelligence. In fact, we feel that we are far superior to all other living beings – because of our higher level of intelligence.
Seventy-five years ago (1950) Alan Turing proposed The Turing Test* -to test a machine’s ability to exhibit intelligent behavior which is indistinguishable from that of a human being. The test involves a human tester who asked the same questions in natural language simultaneously to a human & a machine, both concealed adequately. The human had to finally guess which was human & which machine.
*Refer “Computing Machinery and Intelligence”, circa 1950.
A decade later (1960) John McCarthy from MIT first developed a language based on List processing & called it LISP – a language which is still popular in AI & self generative software. Unfortunately, the computing power & data storage available 75 years ago were inadequate to support processing of statistical routines as well as store vast amounts of data that is required.
But for a long time, even after the advent of AI, it was restricted in specific use-cases like attribution & predictive analytics. One of the major (if not sole) reason for the huge popularity of AI is the ability of GenAI to understand complex questions in natural languages and respond from our vast resources of available data.
Today’s LLMs (Large Language Models) have demonstrated that (artificial) intelligence is based on access to humungous data along with statistical tools* for multiple analysis of data patterns combined with superior computing power. By the way, sharp memory with super-fast & high accuracy of response is a general description of an intelligent person!
LLMs have effectively & efficiently mimicked this facet of human intelligence. With a data set of 30+ years of humongous Internet data & the superior computing power available, LLMs are able to train & retrain their algorithms in finite time & use them to answer queries in real time – something that was quite impossible till a few years ago.
The result: LLMs mimic the behavior of “understanding” the patterns of natural language prompts and make authentic replies in the same natural language.
And all our assumptions of superior human intelligence have suddenly under question.
Until the 19th century, it was common to send all mentally challenged children to mental institutions in most of Europe’s “advanced civilizations”! It was only In 1908, that the Binet-Simon scale was designed to identify those intellectually-challenged children who could be managed with special education without “institutionalising” them. This noble thought was the starting point for measuring intelligence.
In 1912 German psychologist William Stern coined “Intelligenzquotient” (IQ) as the ratio of “mental age” to chronological age x 100. (If an individual of 10 years of age has a mental age of 10, then the IQ will be computed 100. And as the mental age became greater than the chronological age, the IQ value would increase to “more intelligent”.)
LLMs, AI, Machine Learning have convincingly demonstrated that most of what we call “intelligent behavior” can be achieved with access & ability to process huge amounts of data. LLMs used specific statistics to extend this to converse in natural languages.
From past experience, we know that when the data is really, really large & complex, a simple query will take far too long and yield too many answers. So we train statistical models on this data & use them to approximate the best answer (even if it’s approximate.) In fact, using statistics is the only way to make sense of huge data.
Memory = Access to Data using Multiple Pattern Recognition Softwares.
Armed with the above, GenAI is available to mimic human intelligence & appear startlingly “human” – both by understanding complex natural language queries (prompts) and generate complex content both text, graphic & video.
This refers to the pic at the top. Sachin Bhosle is our Senior VP, Business Development & the proud caretaker of a rescued parrot. During a recent meeting, I had the chance to interact with this intelligent parrot – a pleasant surprise!
To demonstrate his parrot’s intelligence Sachin pretended to argue with his wife in a loud tone in their Marathi language. The parrot immediately replied in near-legible Marathi “What’s the matter? What happened?” And when Sachin’s wife (name) switched off the AC in the bedroom, the familiar voice piped in again “Feeling hot. Please switch on the AC!”
Quite clearly, the intelligent parrot was not only able to recognize & store the set of voice patterns (prompts); he had also saved the matching voice patterns which got him the best response for each prompt! If his memory developed further, the parrot could start resembling an intelligent member of the human race!
Our Hindu scriptures define the intellect as a tool which analyses past data & uses it to predict/worry about the future. So our formidable “human intelligence” is a combination of access to humongous data preinstalled statistics software. (Statistics remember, is mandatory to make sense of any big data.)
If the value of “human experience” is proportionate to the amount of data that is available (via statistics software), then is only pattern recognition enough “make judgements” of what is likely to work in any situation?
And is limited or malfunctional internal statistical software the medical explanation of dullness, dyslexia, hallucinations, bipolarity & even insanity?
Btw, what will be our role in the workplace & home when everything is “suggested” by LLMs? And what will substantially occupy us human beings when we actually give permission to LLM based software to sign agreements, issue invoices, make payments?
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©2023 Mediaware Infotech Pvt. Ltd. All Rights Reserved.
We’re proud to be SOC 2 Type II certified.
It reflects our ongoing commitment to data security, privacy, and operational excellence. Your trust matters, and we’ve built the systems to earn it.
Adintelle’s mission is to provide cutting-edge technology that empowers agencies to consolidate their resources, track their profitability, and have complete commercial control. Guided by data and transparent reporting, Adintelle is built to help agencies scale.
Our sights are set on providing smoother operations and solutions across global markets. As an ever-evolving platform, we endeavour to usher in a data-back decision-making culture across the industry.
©2023 Mediaware Infotech Pvt. Ltd. All Rights Reserved.
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