Raktim Singh

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What is ONDC with examples

What is ONDC

Open network for Digital Commerce (ONDC) is a network, which will enable commerce
across almost all segments (from food, electronic..grocery, agriculture, construction
material, hotel & travel booking).

This is the vision of ONDC.

An open network for digital commerce that will establish open, inclusive, and
competitive marketplaces online, creating choice and opportunity for everyone, by
everyone

The best part about ONDC is that it will open doors for everyone including the smallest
of the sellers located in the remotest parts of the country to ride the e-commerce wave.

What is different with ONDC.
Till now, as a buyer, you may have used various online platforms like Amazon, Flipkart or ordered food from Swiggy, Zomato etc.

ONDC is not a platform but is an open network, which is built with beckN protocol
(Open standard).

In any commerce transaction, there are multiple players like
1. Buyer
2. Seller
3. Logistic team to deliver to the physical good.
4. Insurance team, in case of high value purchase item
5. Financial group, which facilitate the payment & wherever applicable, provide
loans to buyer or seller (say farmer to purchase seeds/pesticides).
6. Rating agencies, which can independently rate a product and overall service
delivery quality.
7. Grievance & Redressal group, which comes into picture in case of dispute.

Till now, when you were purchasing an item from a platform, it handles all these tasks.

Though at first glance, it looks good for a consumer but over a period, these platforms
had started certain practices, which may not be good for many players.

(A) Like, today, for a small seller, it’s very difficult to get listed on a platform. In many
cases, that seller has to give lot of money as commission to the platform owner.
Also, in many cases, when buyer searches for a product on that platform, that small
seller is not sure, whether his product will be shown on first/second page of the result.

So, in many cases, small seller or sellers from small towns are at disadvantageous position.

Apart from that, in case, a seller decides to list his product than he has to list his product
on each platform separately. That incur cost to the seller.
Also, a review/rating for product, remain with that platform only. If a product is good &
got many positive reviews/ratings, it will be visible only on that platform. On another
platform, seller has to again start from scratch.

(B) As a buyer, you need to adhere to/pay to the delivery person, associated with
that platform. So, even if delivery/logistic service is not good, you still have to
depend on that.

My experience

Personally, I had also experienced these issues (though that were at global level).

For my first book. ‘Driving Digital Transformation’, my publisher had to tie up with various
online platforms to list my book as I wanted to sell across the globe.

Though my book has been sold in 20+ countries but it was a herculean task, making sure
that my book is listed/available on online platforms, applicable in those countries.

Similarly, my book has got good rating on various platforms (Amazon.com, Amazon.in,
Amazon.co.us, Amazon.nl, Flipkart etc.).

This is how, it shows on amazon.in 👇

Driving Digital Transformation: Reshape the Future of Your Business eBook : Singh, Raktim: Amazon.in: Kindle Store

This how it shows on flipkart 👇

Driving Digital Transformation: Buy Driving Digital Transformation by Singh Raktim at Low Price in India | Flipkart.com

This is how it shows on amazon.co,uk 👇

Driving Digital Transformation: Reshape the Future of Your Business eBook : Singh, Raktim: Amazon.co.uk: Kindle Store

This is how it shows on amazon.nl 👇

Driving Digital Transformation: Reshape the Future of Your Business (English Edition) eBook : Singh, Raktim: Amazon.nl: Kindle Store

This is how, it shows on amazon.com 👇

Amazon.com: Driving Digital Transformation: Reshape the Future of Your Business eBook : Singh, Raktim: Kindle Store

If you click on those link & see, you will realize that for my same book, each platform shows different rating (different ‘total number of ratings’ and ‘review comments’).

On one site, only 3 reviews/ratings are there while in another one 118 reviews/rating are there. Other sites have 107 or 111 reviews/ratings.

As a Seller (Author), once I started adding up all distinct reviews/rating across the platforms than I realized that my book has got total 123 reviews/ratings but none of the platform is showing that Total review/ratings.

Also, one person ordered in Singapore, ordered the physical copy of my book. Book
was delivered from USA.

Needless to say, that delivery charges were more than the cost of the physical book.

What ONDC will do

An open network like ONDC, will unbundles a series of services that would otherwise be
unified on a single platform.
This means that each discrete service like buyer, seller, logistics agency, financial.
service provider ….can innovate and provide best service at a much lower cost. A win-
win for all.

ONDC will enable, buyers and sellers to be digitally visible to each other. They will be
able to transact through an open network.
It will empower merchants and consumers by breaking silos to form a single network.
This will drive both innovation and scale.

Now any seller—big or small, digitally savvy or not—could participate in an open
network without needing to build the entire ecosystem on their own.

ONDC will spur innovation in all the segments, across all the players. So, we may see
innovation in logistic and delivery agencies (1 day delivery, delivery along with insurance, delivery of multiple order combined together for you and offering a lower service charge).

As all these services are getting unbundled, each player can operate from a position of
strength, innovation, and uniqueness.

Which technology is used in ONDC.

ONDC is built over beckn protocol.
As per their website, https://becknprotocol.io


beckn protocol is a set of specifications consisting of APIs, data models, reference
architecture, transaction mechanisms, and global standards that when adopted by
digital platforms, enable the creation of decentralized network.

Such network allows consumers and providers to discover, identify each other and
perform transactions with each other without the need for a central intermediary.

It can be thought of as a common set of rules of communication mutually agreed upon
by several platforms to allow their users to perform discovery, ordering, fulfillment, and
post-fulfillment activities between each other in a standard way.

It is a sector-agnostic protocol, meaning, any industry-specific taxonomy or knowledge
model can be represented using the data model of beckn protocol.

 

Some Interesting facts related to Indian Economy 

1. Online Commerce in India is less than 10% (7-9%) of over commerce. In other
developed/developing countries that figure is above 10%.
2. India has around 850 Mn Internet Users, 625Mn Smart phone users. Out of that
around 400 Mn users consume content on social media. Only around 170 Mn
users do online shopping.

3. Share of commerce in the Indian grocery industry is around 2%.
4. Only around 8% of internet users order food online.

5. In India, around 40% of farm produce get wasted. This is due to variety of
reasons like, too many intermediaries between farmer to customer, lack of cold
storage, lack of good logistic system etc.

6. Less than 5 Mn of MSME (out of total 100 Mn) are registered to sell online.
7. More than 50% of MSME are unable to get formal credit due to variety of reasons
like lack of documents, time required to go bank for loan approval etc.

8. India has around 200 Mn unorganized labor. But we are dependent on word of
mouth/reference to discover them in case of need.

Only around 10 Mn can be found out/registered on some online website.

 

Which new things ONDC can provide 

1.Seller from any town can get registered via ONDC. They need not start from scratch
or be digital savvy to start their business online.
2. Once listed on a Seller platform, which is part of ONDC eco-system, they/their
product will be visible to all the buyers.

3. Various other service person like carpenters, home-chefs, plumbers, tailors etc. get
listed on any seller platform & be visible to all the buyers.

4. Various financial system will innovate & can come out various type of loans as per
the requirement.

One example here is, that a group which organizes marriage, family function can get listed.
They can help prospective couple to get ‘Marriage now, Pay
Later’ type of loans.

5. Farmers can get loans personalized to their requirements. As bank can track the
activities/behavior of a farmer or group of farmers from a village, they will be more
willing to offer loans as per their need.

6. Alongside this, insurance companies can offer suitable insurance for crop based on
the digital footprint of the farmer.

7. In nutshell, access to consumer data could allow banks and NBFCs to design new
financial products and expand their portfolio.

8. If all players (seller etc.) are uploading their data online on GSTN, government can
gauge GST as well as GDP data, almost on real time basis.

No more waiting for day/months.

This will help government and other groups to take meaningful action. That is, based on the purchase/sale of a product across India, company can figure out, whether the new product is really successful or not, in which geography/state demand is high etc.

9. New type of work for technology providers will be needed. It can be ‘Search Product
as a Service’, ‘Inventory/Catalogue as a service for small time sellers.

10. Various agencies can participate who can help in comparison of all products across
India. (say best price for a formal shirt for person with shirt size of ‘Large fit’).

11. Rating agencies can come who can provide certificate/badges to various
service/product providers based on earlier product delivered.

12.Decrease in inventory holding cost and reduced losses due to damages and expiry
due to better visibility on the digitized inventory

13. Better discovery & enhanced availability could boost community group buying,
particularly from smaller towns, which could result in the consolidation of orders served
at a potentially lower cost with a more efficient supply chain

14. Today, if you order 4 items from 4 platforms, delivery person associated with
each platform, delivers you separately. Now, based on the customer requirement, these orders can be clubbed together and delivered at one shot.
This will save money for customer as well as sellers. Better utilization of delivery
fleet.

15. ONDC can unleash the power of the informal economy by accelerating the
digitalization of small sellers, (e.g., home chefs) and enabling low-cost marketing
(e.g., via WhatsApp) and delivery models

16. ONDC could spur innovative financing structures—including operations based
funding, credit issued against transaction history on the network, and credit
based on nonconventional markers.

For example, for farmers, it can look at PM Kisan credit, subsidy flows,
crop insurance debit & arrive at new personalized loans for the farmer.
Also, here integrations with existing solutions (such as
Agristack) can also leverage farmer data to inform credit decisioning.

In nutshell, as all players on this digital network, they will be creating digital footprints,
which can be used to
(A) Arrive at various finance options to the players
(B) Based on historical data, relevant help to MSME, farmer or service person
(Plumber, home-chefs etc.) can be provided.

Challenges for ONDC 
1.One of the biggest challenges is making common taxonomy for various product
across sectors.
Without a common taxonomy, buyer will not be able to discover/identify the product,
which they are searching for.

For example, one type of pulse is called ‘Arhar Dal’ in north India. But in south India, that is called as ‘Toor Dal’. Now, if someone is searching for ‘Arhar Dal’, results of ‘Toor Dal’ may not get shown though both are same.

2. Buyer App need to be transparent in, why some products were listed on first 
page of the result. No hidden algorithm.

3. Each player needs to digitize their inventory & catalogue data.
4. On similar line, logistic, Supply Chain & delivery data need to be digitized for
transparency as well for creating digital footprint for future use.

5. Here, series of services will be unbundled. No one player controls the end-to end
value chain. This means standard APIs & policies, which everyone should
adhere to.

A customer journey goes from search, discovery, order placement, fulfilment to
payments, returns, and grievances.

ONDC, need to address the concerns with a mix of clear network policies,
enhanced and optimized API definitions, and innovations in third-party tools and
solutions.

6. Big investment will be needed in digitalization of all data across the value chain. As mentioned earlier, I see a big role/opportunity for technology providers here.

If some cost-effective solution comes, which can scan the products kept in shop and upload on Seller App, it will be in big demand. That technology solution also has to keep on updating the Seller App, whenever, some other products come in that shop or earlier item get sold of.

Shop owner can maintain product data (details about the product, quantity available, price etc.) on Seller App only. Based on this data, the manufacturer of that product or the wholesale person/company can decide, when & how to replenish the stock at that shop.

7. Help in vernacular languages should be offered to all players across the
segments.

Many players many are not comfortable with English. May be a chat-
bot, which can answer the queries in the native language will be required.
For example, farmers should get help on seed, pesticide buying, loans &
insurance for the farming as well as mechanism to better price discovery while
selling their crops.

8. Creation of cold-storages, provision to make sure that damage free delivery is
done for fragile items and facility to return/refund with proper redressal system.

9. Provision for after sales service, ongoing maintenance and reseller market
should also be created here. That will instill trust in buyer’s mind.
10. Certification agencies: Provide QC certificate to resellers based on product
testing, to boost seller’s reliability on the network.

11. Product pricing partners: Engage with resellers to price their products using
robust algorithms, helping resellers earn consumer’s trust.
12. Video interactions among sellers, logistics providers, and consumers could
enhance this effort, improving communication and transparency throughout the
delivery process

13. Create an enhanced user interface and user experience. This means that buyer
apps will need to have very good user interface and experience (UI/UX).
14. Good support system for all stakeholders in the initial days till everyone (majority
of players) come on board.

15. Apart from various product across sectors, we have diversity of culture across
the nation.
Various festivals, family functions are celebrated as per the religion & culture.

Players can device new products by taking into account that part (that new
product around religious festival, national day, marriage season, ..some months
are not regarded as auspicious for new purchase and some days/months
are considered good for buying new things).

India is rich….and one need to participate in Indian economy by understanding these diverse culture..the unity in its diversity.

Conclusion

ONDC is a step beyond the current platform-centric e-commerce system where both the buyer and seller have to use the same platform or application to conduct a business transaction.

Small traders have for long been crying foul at the unfair trade practices of current e-tailers.

Now ONDC could emerge as a network of networks.

It will bring decentralization, unbundling of various discrete services, provide interoperability & bring transparency.

ONDC will be key to enhance digital adoption & inclusion of all sectors, increase visibility, utilization, and efficiency across the commerce sector.

If your product is good, ONDC will give you the power to sell your product to anyone across the country. Also, you need not worry about learning various digital technology or worry about whether your product will be shown or no.

Rest assured, ONDC is a win-win for all stakeholders.

TECHNOLOGY…FOR BUILDING THE NATION

Conversion with Sai

M: Technology can help in

  1. Better policy decisions
  2. Helping small & medium business owners
  3. Tackling corruption in the system

Sai: Technology is only for rich people. Not sure, whether you really understand the problem of a nation.

We need to arrive at policies & actions, which can help all the sections of a society.

We also need to take into account that different people will have different needs. Our country has people from many religions, cultures, and belief systems.

So, we can’t apply, one size fits all solutions

Me: I think, I understand. Diversity & different set of belief systems are all the more reason that we use technology for all our decision making & take the help of technology, before rolling out any policy or action.

S: Correct me, If I am wrong, but today’s technological advancements are just related to data.

M: ?

S:: I mean, it’s all about collecting data, processing that data & giving an output (which is also a data).

M: Yes, you are more or less right. But collecting ALL the data, doing correct processing on all that data & presenting that data is the USP here.

S:??

M: Earlier many a times, we used to take decisions based on a ‘sample’ set of data.

After implementation, once that action/policy was rolled out to a bigger & wider audience, we used to face problems. And after that tweaking, adjustments used to get done.

Now, we can collect data for all the members of a society and take relevant steps.

S: Give me an example?

M: Government devices various benefit programs. Earlier, those were defined by listening to only selected set of people. Now, based on the geography, age, gender, literacy rate….different set of benefit programs can be rolled out.

S: Ok, so it can help in better government policies & action. What about small businessmen?

M: With Initiatives like ONDC ( Open Network for Digital Commerce), small businessmen can sell online. If their product is good, it can be sold across the country.

S: Though I agree that ONDC can provide a platform but as a buyer, how will I know, which product is good or from where to buy, unless it’s a branded product.

M: Based on earlier transactions, a seller can get rating from the previous buyer. They can also provide written feedback. That will help a new buyer to take better decisions.

Also, may be, we can show data to a buyer like

  1. People from his town have purchased  from seller ABC.
  2. Top Seller in this category is say XYZ.
  3. In the last 10 days, people have bought from Seller ABC .

S: Um.. Small nudges.

M: Yes, for unbranded products, buyers normally consider these things

    1. If, I buy from this seller, will I indeed get the delivery within the expected time & with quality.
    2. Whether someone else is buying or not.
  • Can I refund the goods in case of any issue?

If all that data can be displayed transparently, buyers will be more favorable to purchase from that seller.

S: Ok, so how can corruption be tackled in the government system?

M: In some countries, through lottery-based system, various government departments are selected. After that, their audited data is shown, displayed on the TV, and internet.

 Many a times, transparency brings accountability.

S: May be, departments or cities, which are doing good, can also present the case of good practices they have adopted, that has resulted in overall good outcome.

M: Agree. We all know that Data is new Oil. But we need to arrive at various use-cases & application, by which we can harness the power of data in a way that can make a difference in society in a positive way.

How Technology can help us in creating a better society

Conversation with Sai.

Me: Hi, you look worried?

Sai: Yes. Worried about the future of our jobs? Technology can replace our jobs.

Me: I think we always get worried by new technologies. Once cars were invented, everyone was worried that horse cart owners would lose their jobs. But on a lighter note, I think, only horses lost their jobs.

Technology has always helped us.

S: Like?

M: If we go back, whether it was the discovery of the wheel or printing press, all these helped us.

S: OK.

M: Even cars, aero planes, phone, TV…all these contributed to connecting with others. All these expanded human imaginations.

Cars, Aero planes help us to travel to far off places.

Electricity helped us to work late in the day & therefore aided in increasing the productive hours available to us in one day.

Phone helped us to connect with people across the seas. This again has helped humans in taking jobs in places which are far off from their native place.

Radio, TV assisted us in transferring information at a fast pace to the other side of the globe.

Computers are helping us to take up & do work which was impossible to get completed with mere human support.

Be it data collection, data analytics for a large population or for that matter doing Interest Calculation for all the customers of a bank or streamlining supply chain management.

Sai: But AI (Artificial Intelligence) is different.

M: Actually, I believe, we should think of AI as our IA (Intelligent Assistant).

S: Explain more in detail.

Me: Frankly, even after so much technological advancement, we still have big gaps between the ‘Haves’ and ‘Have Nots’.

In most of the cases, Information Asymmetry has caused a big divide between ‘Haves’ & Have Nots’.

S: Information or knowledge…

Me: At the moment, I will say information asymmetry. I am not even talking of cases, where a person, who has put a lot of effort in learning new things or gained knowledge by going through various books.

I am talking of the cases, where information about something was just not available or very hard to find. That asymmetry also has caused a big divide.

Information asymmetry can result in:-

  1. Usage of Product: When a person is not aware of various Products. It can be an investment Product or Health Product.
  2. Opportunity: If a person is not aware of various opportunities like a job opportunity, or better price about a farm produce or Health service.
  3. Government Schemes: When a group of people are not aware of various government schemes, which are available to them but due to lack of information, they are not availing those.
  4. Discovery: If you are a good plumber or carpenter but no one knows about you. So, your skills are not getting utilized by society, who need these functions.

S: So, how can technology help here?

M: Today, many of us are talking about ChatGPT.

So, ChatGPT can help students in understanding & solving various problems related to their curriculum.

Remember AI is also helping us in creating tools which can translate from one language to another.

Think of scenarios, where ChatGPT can help farmers in remote villages by telling them various government schemes available to them and how they can avail those.

Similarly, it can help in the health sector by telling a patient about his condition. It can even help doctors in this city by telling them what best is available to that patient ( as per his unique condition).

Sai : Understand. But as such, this was already available through the Internet.

M: Remember, many times, our WHAT has remained the same but HOW is different.

These Chatbots are making sure that information is available to a person, whenever he needs, at whatever place or time he needs.

Technology can help in making sure that the required help is available in the context of an individual.

In my opinion, a good society is where every member of the society has equal information, equal opportunity & equal resources to take action.

Now, after that whether action is taken or not is dependent on that person.

But first, we need to make sure that every person has equal choices.

And we are still far away from reaching that stage. We still have a lot of work to do, which humans can only do.

 Only humans can think of, how to properly use ChatGPT and identify the right set of questions and problems. Remember, ChatGPT can provide answers, but humans need to ask the right set of questions or identify the right set of problems.

That’s the reason, I believe that these technological advances are providing us with more options to create a level playing field.

OPEN NETWORK…TECHNOLOGY TO CREATE LEVEL PLAYING FIELD

TECHNOLOGY CREATING A LEVEL PLAYING FIELD

Early days of the Internet

Technology should help in the creation of a level playing field. That was the idea of the Internet. At its core, the main property of the internet is to share data between 2 machines.

Data can be in any format (Text data, Pictorial data, Voice data.) and Machine can be of any type (underlying hardware type, size, configuration…doesn’t matter).

Later we saw emergence of the HTTP (Hyper Text Transfer Protocol) & SMTP (Simple Mail Transfer Protocol).

While HTTP helped us in making sure that WEB pages built with HTTP can be accessed by anyone, anytime & from anywhere.

Similarly, SMTP has ensured that mail sent from any server type always reaches to the recipient’s mailbox. That is a mail sent from MS outlook can go to a person having only GMAIL. So, one was not restricted to sending mails only to say, MS OUTLOOK users or only GMAIL users.

Platform Era

But after this we saw the emergence of Platform & APP system. Today, with a mobile phone & internet connection, we can login into a platform or APP, and enjoy watching movies, from the comfort of our home.

On Similar lines, we can order groceries late in the evening, while returning from office to our home (still sitting in the bus). By the time, we reach home, groceries are delivered at our doorstep.

Though these had helped in overall Digital journey, it has also created monopolies in many places.

So, with platforms, we are able to book a taxi rider, order groceries or watch movies. But these platforms created a closed loop. That is, a customer has to login into a specific platform, provide data and can only see movies, which are available on that platform or order groceries from sellers, which are registered on those platforms.

As more & more users started using a particular platform, the value & importance of that platform grew manifold. In many cases, those platforms become a monopoly player or started dictating terms to both buyers and sellers on that platform.

In many cases, these platforms are also charging a hefty fee, when a ‘Seller’ registers on a platform. So, though these platforms provide a bigger market to various SELLERs, but they also had reduced the overall Profit Margin of the Seller (as Seller need to provide fee/commission to the platform).

Also, a BUYER can only see the SELLER, which are registered on that platform.

ERA of OPEN NETWORK

In India, lot of good work is happening in the creation of DIGITAL PUBLIC INFRASTRUCTURE (DPI).  As the name suggest, lot of digital infrastructure related PROTOCOLs are developed.

Starting with AADHAR, which helps in providing unique identity to citizens, Digital Locker helps in storage of value, Digital Signature helps in the verification ( think of the paper saved, which earlier banks, universities need to store for years).

UPI has helped in creation of level playing in payments by disintermediating the overall Payment Ecosystem.

On Similar lines, with the help of Beckn protocol, ONDC (Open Network for Digital Commerce) is bringing the next set of revolution in Commerce Ecosystem.

As per the website , https://becknprotocol.io

beckn protocol is a set of specifications consisting of APIs, data models, reference architecture, transaction mechanisms, and global standards that when adopted by digital platforms, enable the creation of decentralized networks. Such networks allow consumers and providers to discover, identify each other and perform transactions with each other without the need for a central intermediary.

Important things to note here are

  1. Creation of a decentralized network, which anyone can join.
  2. No one big central intermediary. So, Buyers can get connected with Sellers directly, without any intermediary. Also, products of all SELLERs can be discovered by buyers.
  3. Overall, the cost for creation of an APPLICATION of top of this Protocol, is significantly low.

Applying the same concept to health, education is going to change the overall ‘DIGITAL’ GAME.

For a country like India, which has diverse culture & different languages, not one solution can fit all. A SUPERAPP can help but that also create a SUPEROWNER ( and with the possible risk of monopoly).

Based on solid digital infrastructure, now a person in say the state of Kerala can create an application for all residents of that state, in a cost-effective way.

On similar lines, another person in state of UP can create localized application for residents of UP.

Conclusion

Earlier also I have said that with Digital Transformation, our WHAT part has remained same but HOW has changed. We are watching movies, reading books, ordering groceries but now, we are doing these, from the comfort of out home, at any point of time & through any digital device.

The emergence of various platforms, which had helped in bringing this transformation, started storing value and many a times, small players were left out.

Now with DPI, anyone & and everyone can join the Digital bandwagon. This will make sure that person/seller at the bottom of the pyramid is able to sell his product to anyone across the world.

Technology (and these PROTOCOLs) have brought down the overall cost & hence everyone can participate.

Equal opportunity, Equal choice…No information asymmetry.

What is PROMPT ENGINEERING

 

Prompt engineering (PE) is a concept in Natural Language Processing (NLP), which is part of Artificial Intelligence.

Here, the description of the task is given as input, e.g., as a question instead of it being implicitly given.

It refers to describing a given task as a set of inputs or prompts to the AI Engine.

We can think of AI Engine having a model. So, the prompt should have sufficient information to describe the problem and its context to help the model define the solution space from which responses are expected and extract the best response to your query.

Prompt engineering typically works by converting one or more tasks to a prompt-based dataset and training a language model. Here the language model is trained with data/information given in the prompt. For that reason, it is called “prompt-based learning”.

Prompt engineering can work from a large “frozen” pretrained language model.

In that case, only the representation of the prompt is learned (i.e., optimized), using methods such as “prefix-tuning” or “prompt tuning”.

A prompt can have one or more of the following components:

  • Instruction(s) or Question(s)
  • Input data (optional)
  • Examples (optional)

Language Model

At this point of time, we need to understand language model, which are behind these Prompt Engineering.

In AI technology, Natural Language processing (NLP) is an important component. NLP is getting advanced/better with Large Language Models (LLMs).

The LLMs are neural networks that have potentially hundreds of billions of parameters.

They are trained on a big text data…to the tune of hundreds of gigabytes of text data.

In early 2007, research scholars at Google, T. Brants et al. proved empirically that the language translation quality (indicated by the BiLingual Evaluation Understudy (BLEU) score) improves with increase in language model size.

Over the years, lot of work has happened across companies in this direction.

Few well known large language models are:

  1. OpenAI GPT-3– Released in July 2020, this model has 175 Billion parameters, trained on over 570 GB of text data from This model has been trained on NVIDIA V100 GPUs.

It uses a supercomputer for training purposes, hosted in Microsoft’s Azure cloud, consisting of 285,000 CPU cores and 10,000 high-end GPUs.

2. Cohere platform – A platform which offered both generative language models and representation language models.

3. Megatron-Turing Natural Language Generation model (MT-NLG) – Has 530 Billion parameters and is developed by NVIDIA in collaboration with Microsoft , trained on NVIDIA’s Selene machine learning supercomputer.

4. GPT-Neo, GPT-J, and GPT-NeoX – These are LLMs trained on ~825 GB of Open Source language modeling dataset called the Pile dataset. These models work well when provided with few examples.

Models like OpenAI GPT-3 can accept input instructions in English, Spanish, French, etc. However, since the model is trained on dataset that is largely in English the most likely outcomes are in English.

The model provides users with parameters (such as Temperature and Top_p) to direct the model to be more flexible with respect to its output.

If you have to use GPT-3/ChatGPT or any other model, these points should be kept in mind

  1. Choose the correct level of learning for the prompt
  2. Design the prompt effectively

Designing the prompt is very important. This entails

  1. Ability to clearly define the context
  2. Ability to clearly define the intent?
  1. Provide examples that establish a clear ‘pattern’ between the inputs and the expected output?
  2. Setting the model parameters correctly.

The input or instruction along with its context provided to the model is call a prompt. A model responds to the prompt with a response or completion. The better the prompt is designed, more accurate is the output response.

The accuracy /correctness output from the LLM depends on the ‘accuracy’ or ‘correctness or detail’ of the prompt itself. In other words, the input prompts to GPT-3 must be engineered to obtain the output that is closer to the desired output.

GPT-3 provides a series of models such as ‘code-davinci-002’ (which belong to the CODEX models series) which provide translation between natural language and code.

Over a dozen programming languages are currently supported by GPT-3. Some of the popular languages supported are Python, JavaScript, SQL, CSS, GO, Shell, etc.

The input prompt may be an instruction in natural language or a piece of code. The CODEX models can bring in huge efficiency in the Software Development Life Cycle (SDLC)

  1. It can generate code based on requirement in natural language
  2. Refactor code and correct various errors in the code
  3. Provide necessary comments in the code
  4. Create document for a given piece of input code

As of date the GPT-3 is most robust in terms of Python code generation (as per the OpenAI documentation).

GPT-3 –  the hottest buzzword

GPT or Generative Pre-trained Transformer is the hottest buzzword in the field of AI, specifically, in Natural Language Processing. GPT is a large-scale Machine Learning model that uses deep learning techniques to support natural language conversations, suitable to a context and time.

GPT-3 is the third iteration of the GPT language model, originally developed by OpenAI. GPT-3 uses past data and predictive analytics to enable conversational interactions.

It can mine internet data (small-sized text/pictures/videos) and generates large volumes of contextually relevant text/pictures/videos.

It can perform various tasks like

  1. Translating text from one language to another
  2. Writing (Generating) songs or poems
  3. Generate new text/story
  4. Generate software code.

This works on the sampling methodology and therefore, the larger the model or sampling size, the more accurate and sophisticated the conversation or interaction between the GPT-3 Chatbot and customer is likely to be.

When it was first released in 2018, GPT had 117 million parameters.

Today, per the model sizes, GPT-3 has 175 billion parameters, which help the tool analyze relevant data.

GPT-3 175B identifies patterns and associations, and studies the relevance of data contextually to help the conversational interface between itself and its customers. It works over different layers to develop a model.

Each layer is an improvement over the previous one and the most recent layer will be the most intelligent at that point in time.

It is possible to edit in this model, i.e. remove any layer, insert/add another layer. This improves the ability of the model to serve at its optimum.

Based on examples, GPT-3 can develop associations  of various inputs and generate text-like sentences, passages, paragraphs, new songs and pictures.

It can also identify patterns and associated words/-objects with each other. Thus, when asked to generate a sentence, passage or song, based on the input training data, the output will seem as if it has been “created” by a human.

Benefits of GPT-3

  • GPT has the potential to reduce the number of labeled examples needed to train a deep neural network.
  • It is a set of techniques that can train a model to predict the labels of a random subset of input data that are not labelled.
  • This allows the neural network to learn and develop high-quality features that were earlier possible with high-quality labeled data.
  • The current iterations require minimal training and input data to generate an output that is akin to a human-generated one.

On March 15 2022, OpenAI made available new versions of GPT-3. On November 30 2022, OpenAI released ChatGPT, which was fine-tuned from a model in the GPT-3.5 series.

ChatGPT: Engaging naturally

As the name suggests, ChatGPT is a chatbot built on OpenAI’s GPT-3.5 family of Large Language Models. This is an improvement over the current chatbots in that it has the memory of previous interactions, the ability to filter content for defined purposes, and a few additional features.

Launched in November 2022, ChatGPT garnered unprecedented attention, given its ability to generate detailed responses for queries across many areas.

ChatGPT is powered by AI that can be used to ask queries.

OpenAI developed ChatGPT using a methodology known as Reinforcement Learning from Human Feedback or RLHF.

In this method, the AI is trained by using a reward and punishment system. The desired action is rewarded, while the undesired one is punished.

This system of yes or no enables the RLHF to not just ask the right questions, but also generate/ provide the right answers. This methodology also enables conversational interaction that is free of jargon and technical terms.

In simpler terms, ChatGPT is a way of prompting AI to address a question in a human-like manner.

This feature makes it possible for a user to engage in a human-like conversation with ChatGPT and even generate original content.

But what makes ChatGPT stand apart is the “extra training ” that it received from human AI trainers.

The initial language model was fed with a vast number of questions and answers, which were later incorporated into its dataset.

The program was also prompted to respond to a variety of questions, which experts ranked from best to worst.

This is the real reason for ChatGPT’ s ability to generate original, human-like responses after understanding the question and gathering the appropriate information.

The question to be asked now is how companies can make use of ChatGPT.

Since it has been developed under the Large Language Model and Reinforcement Learning from Human Feedback, it can be used to not just automate repetitive tasks, but also to compile research, draft marketing content, generate code/customized instructions, provide after-sales service, increase customer engagement and more.

An important point to note here is that unlike other conversational Chatbots, which learn by the interaction happening between them and a user asking questions, ChatGPT has been trained with external data, i.e., data which was available on various digital platforms like Wikipedia, filtered version of Common crawl etc.

DALL-E2

DALL-E and DALL-E 2 are deep learning models developed by OpenAI to generate digital images from natural language descriptions, called “prompts”.

With ChatGPT, one can generate various text ( story/poem..etc). In similar way, with DALL-E2, one can generate various images/pictures. It also uses a version of GPT-3.

DALL-E , the software’s name is a blend of words. It has been taken from the names of animated robot Pixar character  WALL-E and the Spanish surrealist artist Salvador Dali.

What is Quantum Computing

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Quantum computing uses the underlying principles of quantum physics to store data and do computations.

For certain type of computations, Quantum computer takes only minutes, which a best supercomputer would have taken days or months to perform.

What is special about Quantum Computer

In our current day to day life, we use classical computer. Our laptop, smartphone can be called as classical computers. They store/encode information in binary “bits”. This bit can be either 1s or 0s.

But in a quantum computer, the basic unit of memory is a quantum bit or qubit.

So, while a bit, or binary digit (used in classical computer) , can have a value either 0 or 1 , a qubit can have a value that is either 0 , 1 or a quantum superposition of 0 and 1.

So, a quantum computer can work with zero and one at the same time, using something that is called superposition quantum states.

Here we need to understand superposition and quantum entanglement

Superposition: It’s the ability of a quantum system to be in multiple states at the same time until it is measured. Superposition allows quantum objects to simultaneously exist in more than one state or location. This means that an object can be in two states at one time while remaining a single object.

This superposition state creates a practically infinite range of possibilities, allowing for incredibly fast simultaneous and parallel calculations.

 

Quantum Entanglement: This is the state when two particle links together even if they are miles apart. It effectively means that these 2 particles share a common quantum state. So, if we observe one particle, information of other entangled particle can be arrived at (even if these 2 particles have lights years distance between them…). On similar note, in entangled system, any action to one of these particles will invariably impact the other particle.

So, in Quantum entanglement, when two atoms are connected, or entangled, even if you have physically separated them. Now, if you change the properties of one of them, the property of another atom also changes instantly.

Qubits are made using physical systems, such as the spin of an electron or the orientation of a photon.

Now with the quantum superposition and quantum entanglement (where qubits are linked together even if they are miles apart), a series of qubits can represent different things/states simultaneously.

In a classical computer, with eight bits, we can represent any number between 0 and 255 (and this applies for quantum computer also).

But in quantum computer, each extra qubits, exponentially increases the numbers, which can be represented. We can safely say that a few hundred entangled qubits would be enough to represent more numbers than there are atoms in the universe.

Quantum computing power grows exponentially with each qubit rather than linearly as in the case of linear bits due to the multi state computational capability of qubits.

So, while a 2-bit register in a classical computer can store only one of four binary configurations (00, 01, 10, or 11) at any given time, a 2-qubit register in a quantum computer can store all four numbers simultaneously, because each qubit represents two values. If more qubits are added, the increased capacity is expanded exponentially.

 

For example, a quantum computer with 1 qubit can simulate 2 classical bits, 2 qubits can simulate 4 classical bits (00,01,10,11), 3 qubits can simulate 8 classical bits (000, 001, 011,111,100,101,110) etc.

Taking this further, it means, 50 qubits can simulate 2^50 classical bits.

This is a big differentiator. In situations where there are many possible combinations, quantum computers can consider them simultaneously.

So, while a classical computer will consider/calculate each of combination in sequential/linear way.

Quantum computer will try to execute all those possible combinations, simultaneously. That’s real parallel processing.

 

Possible usage of quantum computing

As quantum computer (with qubits) can store large numbers of values and can execute on any possible equation in a simultaneous way, it is very good, whenever we are dealing with any optimization problem.

For examples, in case, you are planning a trip to various countries, there are various factors to consider before arriving at an optimal plan.

Just for our understanding, let’s consider that you want to visit 12 cities in Europe, which are located across 8 countries.  These can be factors, which you may want to consider,

  1. What is the cheapest transport available between 2 cities.
  2. On which days, hotels rates are cheapest in a city.
  3. You also wanted to attend, say some special festival in 2 cites, which occurs only on a specific date.
  4. You also want to include at least enjoy rail journey to enjoy the panoramic view.
  5. You want to make sure that during your visit, weather in that city is pleasant.

If you notice, planning an itinerary, can have many possible paths. For situation/problems like that, quantum computer works best and can arrive at best optimal path in a quick time.

On similar note, to predict, what can be weather tomorrow, various inputs are considered.

Here also, quantum computer can arrive at accurate forecast in a very fast way.

Note that, today, with classical computers also, we can solve these problems. I have given these examples, mainly for our understanding point of view.

But there are many businesses sector, where one need to consider many inputs/variables and arrive at optimal path or solution by taking into account various parallel paths.          So with the ‘parallel processing’ power of Quantum computing, we can solve certain type of problems, very quickly.

These can be the sectors, in which quantum computer can play a big role.

  1. Pharmaceuticals

Today, a new drug takes an average of billion dollar and more than 10-15 years, before it reaches the market. R&D team need consider various parameter, drug efficacy, toxicity, correct molecule identification etc. before final drug is approved.

So, here also, there are various paths (input to consider), before a suitable drug can be made. With quantum computer, we can reduce the overall cost as well as time.

  1. Chemicals

Here also, Quantum computing can reduce R&D cost, quickly identify new molecule, improve the design of new catalysts and save time for all stakeholders.

  1. Automotive and Other Manufacturing plants

This industry can also benefit in R&D, better product design as well as improve the internal working of manufacturing plant. In any manufacturing plant, assemble line consists of various tasks.  If those task and hence if overall assemble line can be optimized, it helps a lot in shortening the cycle time and reduce waste/idle time.

  1. Financial Industry

Here Quantum computing can help in portfolio management and overall risk management. On a similar note, it can help the lending industry by considering, borrower’s history/score, lender’s score, project for which work loan is planned (and hence chances of completion of project), collateral which is provided, …and hence arriving at optimal interest rate.

Other possible use cases can involve

  1. Power and Grid optimization.
  2. Weather forecasting
  3. Insurance sector
  4. Fraud detection
  5. Cyber security
  6. Logistics and route/traffic optimization
  7. Supply chain & inventory optimization
  8. Understanding the various event/phenomena of nature, molecule and sub-molecule level interactions which can lead to breakthroughs in chemistry, biology, healthcare, and nanotechnology.
  9. AI and Machine learning.

10.Any planning exercise, which can involve numerous inputs and can involve multiple paths before arriving at final solution.

 

Quantum computing is effective at modelling probabilities and permutations. It’s non-deterministic. So, while in classical physics, we deal with certainty, here we deal with ‘probabilities.

Challenges

As of today, quantum computers are highly sensitive to heats or external atmosphere.

To add to this, electromagnetic fields and collisions with air molecules can cause a qubit to lose its quantum properties. This process, known as quantum decoherence, causes the system to crash.

Today, quantum computing faces evident problems regarding scalability and incoherence.

We can say that Quantum computers are extremely sensitive and require very specific pressure and temperature conditions and insulation to operate correctly.

In case, these quantum computers ( qubits) get exposed to external particles, we got error in measurement.

For this reason, it’s important that Quantum computers are stored at a safe, sealed, and cool place. They should get insulated from earth’s magnetic field or external environment and must have almost no atmospheric pressure.  

We still don’t have a fully error-corrected, fault-tolerant quantum computer.

At the time of writing of this article, we can say that we are still 8-10 years away from getting a fault tolerant Quantum computer.

 

Conclusion

 

Quantum computing is a rapidly emerging technology that harnesses the laws of quantum physics to solve problems too complex for classical computers.

 

 

It works by using the principles of quantum physics (the physics of sub-atomic particles), including quantum entanglement and quantum superposition.

 

With the help of principles like superposition & quantum entanglement, Quantum computing uses a computation method which is very different from traditional method used by classical computers.

 

What is Brain-Computer Interface with examples

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A brain-computer interface (BCI) is a system that captures brain signals, analyzes them, and translates them into commands. These commands are relayed to an output device to carry out a desired action.

History and development in BCI

Hans Berger, a German psychiatrist, is credited with the invention of electroencephalography (EEG). In 1924, he used this method to record the electrical activity of the brain, commonly described in terms of brainwaves.

Our human brain consists of around 86 billion neurons (the cells in our brain). They use electricity to communicate with each other. Neurons are constantly talking with each other.

For communication, one group of neurons send an electrical signal to another group of neurons.

This electric signal or electrical activity can be detected with EEG, with sensors attached to the scalp that tune into those bursts of energy and record them as waves.

With EEG test (which is generated with the help of computer), we can detect and measures the electrical activity in our brain.

The EEG has usually been described in terms of frequency bands: 

1.     Gamma greater than 30(Hz)

2.     BETA (13-30Hz)

3.     ALPHA (8-12 Hz)

4.     THETA (4-8 Hz)

5.      DELTA (less than 4 Hz).

Gamma brainwaves have been equated with ‘peak mental state’.

When our brain is doing simultaneous processing of information from different parts of the brain, learning, problem solving etc. then more Gamma waves are generated.

On the other hand, more Delta brainwaves are generated when we are sleeping, in a dreamless state.

Alpha waves fall in the middle and is associated with relaxation state. Deep breathing, meditation etc. helps in increasing the Alpha waves.

As we can see now, our brain keeps on generating different electric waves for various activities (during problem solving, speaking, writing, responding to someone, excitement, meditation, relaxing or sleeping).

Till now, it was very difficult to make a meaning of these waves. But recent advances in medical science as well as with the help of machine learning, we can derive a meaning out of these brain waves.

Whom it will help

Now that we know, our brain produces different type of brainwaves for different activities.

If we can capture these waves and send that to a digital devise, many meaningful activities can be done….literally just by thinking about it.

Brain-computer interfaces allow people to control machines using their thoughts. The technology is still largely experimental, but its possibilities are vast.

For example, it could help people with paralysis regain control of their limbs.

It will help people with disabilities. People paralyzed by physical injuries or neurological disorders could use BCIs to communicate and regain control of their limbs.

  1. We can think of smart chips/micro-electrodes, which are implanted in the brain. Post that, one can operate external devices such as computers or robotic arms with just their thought.
  1. This will help people with spinal cord injury, brainstem stroke, and ALS to control a computer cursor simply by thinking about the movement of their own paralyzed hand and arm.
  1. It will Augment human capabilities and human-computer interactions. BCIs could accelerate and simplify interactions between humans and machines in various fields like education, defense and space.
  1. BCI can be used as a neurofeedback tool to improve cognitive performance. It can help a person, who is dealing with mental depression.
  1. It can identify if a person is having low attention level or feeling stressed out or drowsy. Surely beneficial for drivers and pilots.
  1. BCIs can detect the mental state of a worker and adjust nearby devices accordingly ….smart homes to smart atmosphere…
  1. Researchers are also experimenting with “PASSTHOUGHTS” as an alternative to passwords. Soon, we might log into our various devices and platforms using our thoughts.

BCIs have the potential to allow seamless authentication and change our understanding of security.

  1. One company, “NextMind” is developing a brain-computer interface that translates signals from the visual cortex into digital commands. It’s brain-sensing technology with machine learning algorithm translates brain neuron’s activity into digital command.
  2. We can see the emergence of new games, where one can really get into mind-war.
  1. The applications of brain-computer interface spread across multiple and diverse fields like medical, smart environment, education and self-regulation, games and entertainment,
  2. It can open usher a new world of creativity.
  3. It can help in our social interactions.

Types of Brain-Computer Interface (BCI) System

  1. Invasive BCIs

Invasive BCI requires surgery to implant electrodes under the scalp for communicating brain signals. Here the main advantage is that one can get accurate reading. But its downside includes side effects from the surgery, scar tissue etc.

  1. Semi Invasive BCIs

Semi Invasive or Partially invasive BCI devices are implanted inside the skull but rest outside the brain. They produce better resolution signals than non-invasive BCIs and have lower risk of forming scar tissue in brain.

  1. Non-invasive BCIs

The term “non-invasive Brain-Computer Interfaces” encompasses all the technologies that allows for brain-to-computer stimulation without needing to penetrate the skull. Most non-invasive Brain-Computer Interfaces, or BCIs, simply rely on electrodes that are strategically placed onto certain areas of the scalp in order to record brain activity.

How it works

Our human brain consists of around 86 billion neurons.

The most common approach to quantify brain activity is to measure electrical signals on the scalp that result from neural activity in the brain. This is called Electroencephalography (EEG) and more specifically measures the voltage between electrodes and a reference.

Advances in machine learning have also helped in the advancement of BCI. Machine learning is playing a big role here as it filters out “noise” and help detect meaningful patterns for interpretation.

Deep learning techniques can also help identify common, subject-independent patterns to improve accuracy and dramatically reduce user-specific training time.

Components of brain-computer interface

BCI system consists of 4 components.

1.Signal Acquisition

2. Feature Extraction
3. Feature Translation
4. Device Output

  1. Signal Acquisition

As part of this, using various sensors, analog signal from the brain is captured. This signal is then filtered and amplified in order to remove the noise from the signal. After this, the signal is digitalized using an “Analog to Digital converter” and transferred to the processing unit.

  1. Feature Extraction

Feature Extraction is the process of extracting the unique features from the received signal.

  1. Feature Translation

As part of this, the extracted feature is passed through the feature translation algorithm (FTA). FTA converts the received signal to an appropriate command to the output device.

  1. Device Output

The output of the feature translation unit is provided to the specific output device. This output helps in operating the external device. This can include functions such as body part or robotic arm movement, letter selection, cursor control etc.

Companies Involved in brain-computer Interface

 

These are some of the companies, which are involved in BCI.

  1. Blackrock Neurotech
  2. BrainGate
  3. Synchron
  4. Reality Labs
  5. Neuralink

Next Steps

In my opinion, we will see “Mind Augmented Reality”….The next in Augmented, Virtual ,Mixed …Extended Reality.

BCI allows its user to control some aspects of a computer with just their thoughts.

Imagine a scenario where with a thought, we would be able to relay a live stream of what we see and hear, to anyone else across the world. No need of any camera here.

Our eyes will capture the scene, which will get converted into brainwaves and transmitted through smart chip/sensor placed at our scalp.

No touch, just a thought to execute a command.

We human, have a great thing, which sets us apart from other species. And that is our ability to think and  imagine.

In coming days, we will be able to create whatever a human mind can think of.

With Brain-computer interface, whatever a human mind can conceive, technology can create that.

In my opinion, BCI has lot of potential.

  1. It will surely help person with disabilities.
  2. It will help a person affected with depression or facing mental health issues.
  3. Along with other authentication mechanisms, BCI can add one more layer of authentication (with the help of ‘passthought’).

This will help in Metaverse.

In Metaverse, it’s difficult to establish a real person from his digital twin.

Someone may have copied the biometric details of the person and created a digital twin. But now with BCI’s passthought, a real person will authenticate himself.

Today, as part of biometric, only external body part data can be captured.

Your brain and thoughts can’t be hacked, and no one can create Digital Twin, which contains your active brain.

So along with already available methods, BCI (and ‘passthoughts’) can help a real person to authenticate himself.

  1. As our mental activity is getting recorded, we can think of a scenario, where your dreams get recorded (after taking your consent).
  2. One person can communicate with another person, through thoughts…no visible cues.
  3. A new way of social interaction.
  4. We should see many new developments in Metaverse, which will be powered by BCI.

Metaverse contains immersive technologies and aims to offer a better experience to user. Brain-computer Interface, can play a big role here….Many things can be done…just with your thoughts…

8. BCI works in both ways that is sensors can capture the activity, which is happening inside the brain. Also, those same sensors or smart chips can also provide inputs to brain.

It can help in creation of alpha brainwaves. That will help a person in calming down. BCI can help human in generating more positive and creative thoughts.

Brain-computer interface can create a very powerful entity by combining artificial intelligence with brain’s natural intelligence.

Things to watch out for

  1. This technology is still in nascent stage. Lot much work needs to be done, before it can be taken for mass use.
  2. There can be moral and ethical issues related to this. We need to tackle this properly by putting proper governance during its development.
  3. Corresponding chips and non-invasive surgery need lot of work for this technology to reach its full potential.
  4. As with true with any technology, we need to cautious about BCI also. It’s also having its pros and cons. We need to decide, how best to harness the power of BCI for the betterment of human growth.

Conclusion: What is Brain-computer Interface

Brain-computer Interface is a part of computer science that gauges the central nervous system activity to create a direct communication link between a computer and the brain.

Though this technology is still new, but it holds lots of potential. With brain-computer interface, we can perform any activity, just with our thoughts.

This also holds lot of potential in Metaverse as BCI can help in authentication as well as new way of social engagement and gaming in Metaverse.

 

Metaverse in Education : How Metaverse will Transform the Education sector

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Metaverse in the Education sector

The metaverse creates a computer-generated reality parallel to the physical world with help of AR/VR/MR, wearables…and many other things.

Here people can interact with the digital environment/equipment/objects as well as other users.

Metaverse consists of 2 words. Meta & Verse. “Meta” means “beyond,” and “verse” stands for the “universe.”

In metaverse, the physical and digitally simulated worlds overlap & provide us a very engaging experience, while sitting at our home.

Virtual interactions become similar or even identical to our experiences in the physical/real world.

People get virtual identities with avatars and can interact with other persons in their respective avatars.

The metaverse doesn’t refer to any specific type of technology. It’s a combination of them.

One of the main features of the metaverse is an ‘enhanced, engaging experience’.

And this is a very beneficial feature for our education sector.

The metaverse will allow full immersion into a ‘simulated classroom environment’. Here students can interact with the learning content as well as with other students/faculty members…

We can create very dynamic, impactful, engaging, highly interactive, and often emotionally realistic content.

Now let’s understand the salient points of the Metaverse in education

  • More collaborative & immersive experience: Due to the pandemic, many schools have shifted to online education. But we still need to harness the power of this.

To start with teachers can prepare online lectures, which students can watch in their free time.

During regular hours, a class in metaverse can be organized. In this class, all the students along with the teacher join. This can be a doubt resolution session.

Based on the progress of each student on ‘earlier prepared online lecture’, the teacher can come to know, not only what a student has learned but how he has learned.

That way, they can help those individual students with more refreshed courses around the difficult topics.

Also, in the current online system, teachers can’t look at each student’s face.

Many times, a puzzled look on a student’s face, helps in knowing that students have not properly understood the concept.

Also, in a real class, many times, students first look at each other and ask doubt/questions.

It’s a normal human tendency. Everyone thinks that their doubt/question is very silly & remains silent/keeps quiet.

But in the metaverse, teachers can look at students, students can look at each other and ask doubts/questions. A total immersive & engaging experience.

  • Skill development with the latest equipment: As of now, many schools face the challenge of buying new machines/equipment for training.

Also, in case, they are able to buy one, students are advised to treat that machine/equipment carefully lest it breaks down.

In metaverse, ‘Digital Twin’ of those latest machines can be created. Students can learn on these ‘ simulated machines’.

They can open the machine, play with it. Remember as this is a simulated machine, it can be created again with almost no extra cost.

On Similar lines, these ‘Digital Twins’ in metaverse can be shared with schools, which are in rural areas/don’t have a budget.

Many schools can come together, own those machines/equipment on metaverse & share among their students.

It will also be very useful for medical students. An artificial human body can be created, on which medical students can perform surgeries & other operations and learn.

 

  • Learning History, astronomy, geography: In the metaverse, museum-like ‘Louvre Museum’ or ‘Hermitage Museum’ can be re-created.
  • Students can visit those museums ( by sitting at their home) and learn about our ancient culture. Or they can take a walk near ‘Eiffel Tower’, visit ‘Antarctica’, ‘North Pole’…. Travel in time to experience the life of ancient civilizations, see & participate in historical events, examine thousand-year fossils or just visit the galaxy, including Moon & Mars.
  • Soft Skills: As of now, we all understand the importance of soft Skills but both learning & teaching that is very tough. In our ancient times, pupils used to go to ‘Gurukul’ and stay there together.

This used to help in the holistic development of a student.

Now this can be handled in various ways – (Metaverse in Education )

  1. We can create a ‘real society’ like environment in the metaverse. Students can travel in that. It’s a ‘Simulated Real world’. Students on their own (along with other team members) can visit them. Based on their behavior in this world, like..whether they are ready to help a person who may be into an accident in the metaverse, how they are behaving with various society members, are they working with each other …we can learn about them & teach the importance of soft skills accordingly.
  2. Like this, many other experiences can be created. Be it decorating a room with exotic pieces or wandering in a new country.

We can gauge the various skills of the team members. Are they team players, are they able to work in ambiguous situations, students who lead & take proactive steps, students who just want to remain aloof. 

  1. Students can join conferences, which are attended by students from various countries. It will give them good exposure & help them in building their confidence.
  • Gamification: As per studies, we know that students enjoy & learn more when anything is taught through gamification. Metaverse can be the perfect platform for that.
  • Various concepts related to physics (gravity, velocity…), chemistry (various chemicals. Creation of cloud.) & Many other concepts can be easily explained & taught in this gamified metaverse world.

Also, this gamification experience is totally personalized. As per the strength, the learning ability of a student, he can participate in the game accordingly. No more stress of studies ..no more bullying or stigma of lagging behind. It can really make learning a ‘joyful experience’. Should we call this edutainment?

  • Accessibility: Metaverse opens the door for everyone. Be it an elder person or person with special needs. Anyone can join metaverse & explore this beautiful world, travel to mountains, various other counties & learn. All these educations (and experiences) can be provided at their own home.

Also, it can fill the gaps between rich & poor, urban & rural. Everyone can share & get access the latest machines/technology/….& good exposure to all the important things. This will help in the holistic development of a student.    

Conclusion: Metaverse in Education 

We need to look with fresh eyes at our education. A lot more can be done & metaverse has the potential to help us achieve this.

Be it accelerated learning, better curriculum, ability to learn about latest happening or exploring the ancient world, a richer personalized learning experience for students or edutainment.

We also need to keep an eye on security, privacy, overall regulation & governance.

We are still some time away from this metaverse world. We surely need better bandwidth & speed (5G/6G), better wearables & enough check & balance in making sure that, one should not get addicted to this.

As of now, we are able to understand the concept, this may be the right time to design the beneficial use-cases for metaverse & put proper governance. 

We need to utilize the positive benefits of the metaverse and fill the gaps of the current education system.

 

Explained : Metaverse in Banking Industry – How does it Work ?

 

Metaverse Real World Examples : Why Metaverse is Next Goldmine ?

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Metaverse: How various Industries can benefit from this

The metaverse is a shared virtual 3D world, or worlds, that are interactive, immersive, and collaborative

So metaverse is a persistent virtual world where people can work, play, shop, interact with each other, from anywhere using a wearable (which can be a virtual reality headset, gloves, full-body jacket, augmented reality glasses,..).

“The Metaverse is a massively scaled and interoperable network of real-time rendered 3D virtual worlds which can be experienced synchronously and persistently by an effectively unlimited number of users with an individual sense of presence, and with continuity of data,

such as identity, history, entitlements, objects, communications, and payments,” defines venture capitalist Matthew Ball in the foreword of his outstanding nine-part essay on metaverse — The Metaverse Primer.

Experience Economy:

We human beings always looked for a better experience. So, explain this further, we need to understand that basic human needs are

  1. Nutritious food
  2. Clothes
  3. Home for shelter
  4. Healthcare/Medicines in case of illness.

But, today, we crave much more than this & ready to pay for this.

For example, we are ready to pay more for delicious food, even better if that food is served in place, which has a good ambiance.

We are ready to pay more as we want to have a better experience.

We want to listen to music, want to watch movies, watch sports/games or attend rock-concert. Again here, the underlying principle is that we want to have a good experience.

On a similar note, many people enjoy perfumes, oil with aroma.  Or diving a car & travel to distant places.

We enjoy watching sunrise or sunset, waves of sea, scenic beauty of mountains….

We can say that after meeting basic human needs, we all look for good, engaging experience.

Over the years, Technology has also helped in getting/relishing this good & engaging experience.

In the first wave, the introduction of radio has helped us to listen to music.

Introduction of TV & movie theatre had helped us to watch movies/dramas/tennis match without going to stadium…The introduction of the telephone has helped us to talk with our distant friends & relatives. 

In a later phase, with help of the internet & web2.0, we are now getting used to listening to music on our mobile phones by various APPS, watching movies through OTT apps, or enjoying interacting with others with various social media platforms.

Remember, we have availed these by paying for those devises or paying our attention/time (& in turn watching various advertisements).

The main point is that we have always welcomed & paid for ‘any entity, which can provide us a better, engaging experience.  

Here are the Main Opportunities to apply metaverse in  

1. Nutritious food

2. Clothes

3. Shelter

4. Medicine

Another is

1.       Delicious Food in nice ambiance

2.       Higher education

3.       Different modes of entertainment

4.       Holiday Travel

5.       Healthy Conscious

6.       Owning a house

7.       Increased Social Life

8.       Owning various house essential

9.       Branded Clothes

10.       Exotic food at best restaurants

11.       Owning property at holiday places

12.       Niche ways of engaging entertainment

13.       Gadgets

14.       More spending on luxurious items

15.       Delicious food

16.       Better clothes

17.       Education

18.       Basic Entertainment

19.        Essential travel

20.       Housing sector

21.       Limited social life

 

As highlighted in the boxes shown above, after completing basic needs, we all want to fulfill those needs in a better way & also look for a better experience.

Our overall evolution has also happened in the same way.

I believe, Metaverse is the next step in this direction.

Which industries will benefit?

The main point to note is that as of now, Metaverse is touted as the next big tech thing.

Remember technology is an enabler only. Though it may get some early adopters (who want to use this cool new technology), unless it offers real value to customers, it will not scale.

Also, we need to be careful of just porting the current online content on Metaverse.  During the 2000 Internet boom, this was the mistake. Many companies just ported their offline (brick & mortar offering) on the Internet.

The customer was not able to appreciate the value.

With WEB2.0, a customer was able to interact & a plethora of other things were done, which provided real value to the customer.

In my opinion, we will see 2 trends here.

  1. In some cases, people will want to enjoy a better experience, while sitting at their home. Instant gratification along with engaging/interactive experience.
  2. The other will be an augmentation of physical experience, which is enhanced with Metaverse.

Shopping experience

As of now, we have 2 options for shopping.

  1. We can go to a physical shop & buy. Or
  2. Buy from an online platform. Though buying online helps you in showing various items (which possibly may not be available in a physical shop), but this shopping experience is ‘little cold’.

 

Let’s say, someone wants to buy jewelry. You love going to store along with your friends/relative, discuss with them about the item, you want to buy, try that item, discuss with shop-owner before buying.

On a similar note, if you are planning to buy clothes for a function, you go along with your friends/relatives, joke & tease each other, discuss with them, ask the shop-owner & then buy the garment of your (dare I say everyone’s choice)

Same is true for many other items (Items for home décor, furniture, electronic goods…)

Now in Metaverse, you will be able to do/experience all these, while still sitting at your home.

Travel Industry: We will see 3 cases here.

  1. People will be able to view/enjoy scenic mountains while sitting at their homes. This will surely help the elder population, people with special needs, who can now experience/enjoy a holiday, while being at home.
  2. On similar lines, before traveling, people will be able to get a full immersive experience of the hotel, where they will be staying, tourist places, they will be visiting.
  3. Augmentation of Metaverse with Real-world: Imagine, you are near a mountain & without climbing, you can view the peak of the mountain. You feel the crisp air, the fragrance of flowers, and the scenic beauty of the peak of the mountain. 

Or you want to do para-gliding from top of the mountain but quite afraid. No issue. Just be at top of mountain. And in the metaverse world, enjoy doing para-gliding.  

Imagine, you go to a resort near the sea. You can always do ‘real scuba diving’ 

But you will not be able to go to the bottom of the sea. Now With

Metaverse, you can just swim at the surface of the sea & also

can watch sea life , which is at the bottom of the sea.

 

Today, in many forts, palaces, ‘Light & Sound’ shows are organized, which takes the audience into the past & talk about the history of those important places (the earlier empire, earlier social life….) Now imagine, you also become part of that empire, able to talk/interact with people of an earlier era.   

Sports & Entertainment:

You were not able to purchase the tickets of the upcoming match or rock concert. You can always watch that on TV. But what about, joining that rock concert in Metaverse …..singing /dancing /shouting with other audience…. Crowd.

Maybe you can attend Oscar’s award function in metaverse & watch/interact with you favorite movie stars/celebrities.

Healthcare: We can help our friends, who may be going through tough times, having trauma/depression. A pleasant experience can be created, which will help smoothen the fray nerves.

Gaming Industry: Online gaming is already a big business. With metaverse, players will get a better, more engaging & interactive experience. 

Training across Industries: Almost all industries will benefit from Metaverse. Training in an ‘almost real’ environment with ‘simulated objects’ can be provided.  It can be training in the military, healthcare or manufacturing, aviation industry or skill development for people of all ages.

As no real physical object is involved in training, this can be a very cost-effective solution for repeating training. Normally in a training,

you need to use a real physical object (say a physical machine), students learn about the machine by doing experiments on that machine. Many times, this renders the machine useless for the next set of training.

Again, here also, training can be conducted in a classroom (and recreating the factory experience in Metaverse).

Or students can go inside the factory, smell the shopfloor & work on various machines, which are created/simulated in the metaverse.

Others: There are many other industries, which will benefit from this. Remember, we go to many places (restaurant, amusement park, movie theatre, shopping arcade.), to have a good time.

As mentioned earlier, like other cases, you can order food from a restaurant & enjoy the ambiance of that hotel, while still sitting at your home.

Or you can really go to a hotel, which will create an atmosphere of your choice. A personalized experience …. blending the real world (restaurant) with Metaverse.

Conclusion:

We always look forward to instant gratification & engaging experience. We love our privacy but still want to have a social life, which is suited to our taste.

Metaverse will be able to provide all these. But we are still far away from this.

To get a great Metaverse experience, we will need better wearables, better bandwidth speed & many more creative use-cases.

Use cases, which will offer real value & an enriching experience. 

Share on the Comment what You think about the Metaverse case study.

 

 

What is Technological Singularity and What Will Happen After The Technological Singularity?

What is Technological Singularity

The technological singularity is a point in time at which technological growth becomes uncontrollable and irreversible. This can result in unfathomable & unforeseeable changes to human civilization.

To understand technological singularity(what is the technological singularity), we also need to understand, the term called  ‘intelligence explosion.

That is an upgradable& self-improvement cycle of intelligent improvement.

After, each new and more intelligent generation, which is appearing more and more rapidly, It will cause an “explosion” in intelligence. This will result in a powerful superintelligence that will surpass all human intelligence.

This term ‘Singularity; was first introduced by  John von Neuman ( Hungarian mathematician and physicist)

In 1980s, I.J. Good, a British writer, predicted that human brains would develop technology to support human minds. He coined the term “intelligence explosion.” 

Although technological progress has been accelerating in most areas, it has been limited by the basic intelligence of the human brain, which has not changed significantly for centuries.

However, with the increasing power of computers and other technologies, it might eventually be possible to build a machine that is significantly more intelligent than humans.

The technological Singularity(Technological Singularity Definition)
is a time when artificial intelligence surpasses human intelligence.

A Technological singularity is a feared event that will disrupt human society.

To summarize, as new innovations build upon previous innovations and this growth curve reaches the tipping point, there could come a time where humanity is able to build a Machine (with improved Artificial Intelligence) that is on par with the cognitive and functional abilities of a human.

This is referred to as Technological Singularity(when will the singularity happen). After this, an era of uncontrollable and irreversible advancement can start, which can result in unfathomable changes to human civilization.

This could be humanity’s last invention. It may result in complete annihilation or unthinkable prosperity.

What is Technological Singularity: The Intelligence Explosion

The current revolution in AI ( or Intelligence Explosion) has happened for these 3 main factors

  1. Increase in computing power due to high-performance GPUs & decrease in cost for building new/improved machines using this computing power

As per Moore’s Law, the number of transistors in a densely integrated circuit double about every two years, thus increasing the computing power in hardware. The doubling has led to graphic processing units (GPUs), which in turn has made parallel processing possible.

This massive computing power (with superior GPU, parallel processing & cloud computing) is helping machines to recognize patterns in a hoard of data.

  1. Availability of labeled data

In this connected world, all our devices are becoming intelligent devices thanks to IoT (Internet of Things).

Also, all our activities are getting tracked/recorded in the online world. So basically, humans & machines, both are generating an enormous amount of data, which is getting stored in the online world (along with description). That is, our shopping habits, personal preferences, food habits, travel details…..Machine details ( cars, A/C, aero-plane engine details) etc.

Also, we are able to store all types of data (structured as well as unstructured data).

Again, the availability of ‘cheap data storage systems’ & BIG data processing power is helping in the analysis of this ‘abundance of labeled data’.

This data is used to train programs to recognize scenarios and improve in a desirable task.

  1. Innovative ways of training a program

Armed with tons of data and ample computing power, deep learning has made a comeback in the mainstream AI arena.

Now with this machines are learning on their own, especially with reinforcement learning ( which is subset of machine learning).

Artificial neural networks are used to train programs to make intelligent programs without the need to manually code them. Machine Learning is powering many of the most commonly used applications today, enabling cars to drive themselves, detecting cancer cells in X-rays and so much more.

Our current AI capabilities have shown outstanding performance in narrow tasks, better even than humans, at times.

But now, this exponential technological growth points to a possible time when computers surpass humans, not only in narrow tasks, but also in general cognitive faculties. There could be a time when a program is on par with human intelligence and reaches artificial general intelligence (AGI)—the point of Singularity.

Possible scenarios

  1. With enormous computing power and the ability to design and upgrade itself, Super Intelligent Machine could constantly grow more intelligent. It could turn hostile towards us and annihilate the entire species.

The result of this Singularity would be an artificial super-intelligence, one who could essentially play Superpower  on this planet.

  1. The singularity presents both an existential threat to humanity and an existential opportunity for humanity to transcend its limitations.

Machine ( & AI) work on reward function.
It doesn’t know , what is right or wrong. Given an aim, it tries to achieve that & if it is able to achieve that properly, it get rewarded in positive way.

So it learns in that way & tries to maximize it’s reward.
Now, it we can codify ‘the right outcome’ & put an reward, AI will try
to maximize that.
The superintelligence could design completely new ways of doing
things that are essential for us to survive, including breakthroughs
in energy generation, transportation, housing, farming, and global warming, etc.
Challenge is ‘ how to codify what is morally right’. We (human) learn this over period of time by observing our parents, siblings, friends ,society & than form our own view.  

That superintelligence could design completely new ways of doing things that are essential for us to survive, including breakthroughs in energy generation, transportation, housing, farming, and global warming, etc.

It could help us become a multi-planetary species and unlock physical capabilities currently beyond our wildest imagination.

.         If we manage to tame it in some way, it could usher in an era of enormous prosperity for the world, the likes of which humans have never experienced.

Even if we think we’re playing with fire (some governments around the world have banned the pursuit of AGI), the benefits are far too great for organizations to back down. The rewards of a human-level digital intelligence far outweigh the risks that it poses.

  1. In his book, ‘The Singularity is Near.’ Ray Kurzweil, a recipient of the National Medal of Technology, predicts that “by the 2030’s, we will connect our neo-cortex, the part of our brain where we do our thinking, to the cloud”

The concept of humans connecting to such a vast amount of data is one of the main theories that drive the singularity theory (AI singularity already happened) and futurists such as Kurzweil and billionaire Elon Musk who started the company Neuralink on the premise of connecting humans and AI technology. Musk’s technology is slated for human trials in coming years. 

As per, Kurzweil, we would be linking our consciousness to machines for medicine or entertainment & this will help us to live longer by supposedly living in the cloud’, our consciousness surfing cyberspace with no end and existing as pure consciousness without a need for a human body.

We, humans, have tried to augment our biological bodies. Be a tattoo to improve our looks, hearing machines for ears, eyeglasses for better viewing, microscope to see things in details which can’t be viewed by naked eyes, loudspeaker to raise our voice or a pacemaker for our heart.

We can also think of the scenario, where we may be able to augment our brains also.

Can this result in making sure that human brain, augmented with certain non-biological instruments, is always ahead of machines?

  1. The human brain is still a complex subject, not fully understood by all experts. We have a subconscious mind; we have dreams. Also, human being has empathy, consciousness & common sense. Though machines will be able to surpass mathematical abilities, will they be able to possess these other soft skills, on par with humans? Without ‘common-sense’ (which in itself is difficult to describe) or so-called intuition, is it possible that Intelligence machines will destroy each other?

 

Conclusion: What is Technological Singularity

The technological singularity is the point in the future, by when our technology, particularly AI will evolve beyond our understanding and (potentially) control and will eventually surpass human intelligence.

As per, Kurzweil’s law of accelerating returns, the pace at which technology evolves speeds up drastically over time due to a common driving force pushing it forward.

His theory is that the acceleration can be quantified in the ‘returns’ of the technology by variables such as speed, performance, efficiency, and power.

Also, we have already witnessed, 2 AI winters. Whether we will again see a AI winter. If things are fully automated, whether we will still invest in AI & allow it to progress further. No-one knows.

 But most of us, would find the idea of a future where machines are smarter than people or merge with them, frighteningly (similar to some Hollywood movies..).

Technological Singularity (when will singularity happen) is a powerful concept.
This will force us to revisit our thoughts ( What is mind, what is consciousness, can we define, what is morally right, what does it mean to be human & our purpose).

But we can also think that it can be a beginning of a machine-led era, which is simply the next stage in our technological evolution and is something that will ultimately improve humanity. 

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