Blog

Of late, I read a lot. Somtimes, I try to write them out.

Transfer Learning


Transfer Learning is a remarkable concept in the fields of computer vision and natural language processing. This technique has revolutionized the field of deep learning and has become an essential tool widely utilized in various industries.


Transfer learning enables us to leverage the knowledge gained from pre-trained models and apply it to new tasks or domains, saving valuable computation time and resources. Previously, training deep learning models from scratch on large datasets was a time-consuming and computationally expensive process. However, with transfer learning, we can utilize the knowledge learned by pre-trained models on extensive datasets, which significantly reduces the training time and computational requirements for new tasks.


In computer vision, transfer learning allows us to use pre-trained models, such as those trained on the ImageNet dataset, which contains millions of labeled images. These models have already learned to extract high-level features and patterns from images, making them excellent starting points for various image-related tasks. By fine-tuning these pre-trained models on specific datasets related to our task, we can quickly adapt them to classify objects, detect features, or even generate creative content.


Similarly, in natural language processing, transfer learning has gained immense popularity. Language models like GPT-3 have been trained on massive amounts of text data, enabling them to capture the nuances and semantics of language. By utilizing these pre-trained models, we can build on their understanding of language and customize them for specific applications such as sentiment analysis, machine translation, or question answering systems. This approach not only saves time and computational resources but also enhances the performance of our models by leveraging the vast knowledge acquired during pre-training.


The wide adoption of transfer learning in industry is a testament to its effectiveness and impact. It has enabled organizations to develop sophisticated models for various tasks in a fraction of the time it would have taken otherwise. By leveraging transfer learning, companies can allocate their resources more efficiently, accelerate their research and development efforts, and ultimately deliver innovative solutions to real-world problems.


Here is a Github link to the codes I wrote to better comprehend the concept: Intro to Deep Learning 

How Ultra-Realistic Sex Robots are going to Shape our Future

Stared with first Industrial Revolution, mankind has always been fearful of epoch-making technologies. People were afraid of electricity, people were afraid of trains and cars. But it always took just one or two generations to get completely used to these innovations.

Same applies for future technologies too, although there are potential ethical and philosophical reasons to dreadful of some of them. That’s why before I began, I wanna make it very clear that I hold no extreme or constant views, nor do I claim to have the exact  answers to ethical and philosophical questions. You may have completely  different ideas, and I am totally flexible to them.


So, do you know that ‘

The first dildo’ is nearly 28,000 years old? way older than agriculture and human societies. Since the dawn of humanity, human race has invented fabulous things like  languages, art, tools, science, and exciting ways to please ourselves without  having to depend on actual sex all the time.


In the coming time, androids and gynoids are posing threat to invade our beds or other places you prefer to, ahhahhahha! Sex may potentially going to be one the prime uses for humanoid robots. These sex robots are becoming ultra-realistic day by day. In no time, They are going to be physically  indistinguishable from real human beings. And what is more, sex with robots will feel just  like real pleasure, if not better. AI will make these robots able to perform  various moves and bend in any conceivable position. You will be able to  have sex in any way you ever wanted and satisfy your weirdest fetishes.

There are already some prototypes of sex robots with personalities.

Now,  we should be thinking an aspect! Does the matter pose any threat?

Well, There are multiple reasons to be afraid of. I have found some.

Once sex robots are common, we will slowly start to lose touch with reality, Which is basically the scenario now, even before the availability of sex robots. Also, sex robots are way hotter than humans and come with desired shapes. After their proximity, it will be harder to get physically attracted to other humans.

We will objectify human bodies even more.

All that begs another question. Should we be scared?

Maybe a little, maybe not at all!

To be precious, it’s still unclear.


The problem is our short-sighted views on how society evolves.  Sex is an inseparable societal aspect as well as an acute biological one. Some cultures honors monogamy, others polygamy. Some cultures value physical attractiveness, some prefers robustness and others have different sorts of parameters. Some cultures hold homosexuality high in regard, others loathe.


Weather you believe it or not, sex robots will surely become commonly available, not an indicator that it will be a horrifying experience nonetheless. Nowadays, stigma around sex robots is surfacing. Even a few years ago, there was intense unapproval around Internet porn. But today a handsome number of us visit Porn-sites without shame or hesitation. Something parallel is likely to be the case with sex robots. Sooner or later, people won’t give a damn as long as their physical and emotional are meeting.


And all the threats I have mentioned can be battled with diverse mechanisms for sure. If there is one sure positive outcome from this, it is that all crimes  related to sex will be reduced significantly.. Rape cases will drop down too along with Domestic abuse. Even pedophiles can have children robots. I am pointing out these benefits not because I am certain that it will  be our leverage such ways nor I want this availability badly. I am just reflecting genuine possibilities. Always remember, It’s society that evolves around technology, not vice versa.


Life after 100 years

September 11, 2120. A sunny day.

It’s 8:30 A.M. and the nano-alarm connected to my nervous system wakes me up. Time to hit the road for work. Today is Monday, and although 100 years have passed, Monday is still horrible coz the work schedule from Monday to Friday is still adapted globally.

I get up while the windows of my room turn clear and let in light from outside. Anyway, it’s not like there is much light to let in; the city where I live is overpopulated and my apartment is part of a building among hundreds of buildings in this area. Buildings compete here to touch the sky.

I take a ‘hyper-fast’ shower (the bathroom system scans me to adapt the flow of water to my body shape) while sipping kiwi flavoured juice that I store in ‘Digital Freezer’ and then I go down to the kitchen. With a ‘food printer’, I prepare a molecular shake. Its flavor is horrible and its appearance is tasteless, bite me! But it contains the exact amount of proteins, carbohydrates and minerals that I need for the day.

I’m planning to buy a “food teleporter” to receive food instantly over long distances using quantum teleportation. However, I already spent the credits of this month by paying for Khalid bro’s space travel, but I’m convinced the teleporter will be mine next month.

Two minutes to 9 A.M. and I’m already on my way to my first job on the day( I perform over two jobs in a weekday ). To do this, I commute in a “sonic pod”. It’s similar to what you know as Hyperloop, a passenger capsule that moves inside a tube at high speeds. I could travel faster in an “Oober-ship” (flying car), but sonic pods are cheaper.

Fortunately, I work at a “tech giant” mainly involved with telecommunications. I am an strategist here, specifically controlling the innovation of technical aspects of such enterprise. For example, I monitor the advancement of networking, the speed of the internet best balancing with the environment, and of course, that our company tops similar ventures. All my tasks are strongly backed by an “artificial intelligence”, so the job sometimes gets quite boring. But hey, at least I get free ice creams and branded coffees whenever I want.

My workday at this job ends at 3 P.M., and I immediately get on another “sonic pod” to go to my second job. There, I work as a Data Scientist. I always love to play with data. Coming clean, I always wanted to be a data scientist. But after pursuing my MS degree from “Carnegie Mellon”, Shafiul bro insisted that I should jump into Industry rather than spending more time in Academia and he also insisted that I must give Telecommunication sector a try.

Anyway, coming back to point, Today’s tasks have been quite simple, except for a new significant deal that slightly lacks proper representation of some data flow. I can’t think of anything now. So I guess I’ll turn it off and wait to find the solution at home while drinking beer.

At 7 P.M. I finish working and return to my building through the same blessed tube. Upon arriving at my apartment, I see that on the same block another new edifice is being built. That wasn’t there this morning, but it’s understandable. All buildings, including skyscrapers, are 3D printed on-site nowadays. “Great, a new parasol,” I say with irony.

( Next Part is coming sooon. )

..... After the first part


Once at home, I take another shower to get rid of the air contaminants existing in my workplace & commute route. While eating condensed spaghetti with Martian spices (courtesy of my good old food printer), I spend some time watching the news in my update center.

The huge holographic screen on the wall is showing CNNN (Cosmic News Node-Network).

In the news—

“India got back Kashmir after Pakistan tore itself into civil war in the 2120’s. The UN actually did something and awarded India Kashmir as a gift after India spent billions cleaning up the radioactive ruins of Pakistan.”

“Kim Jong Un’s death led to a power struggle. When nukes were considered loose the Chinese stepped in to crush the potential disaster. As a token of Goodwill, they offered to help finance integrating N Korea into S Korea. But as a result, the UKR (United Korean Republic) is now a Chinese puppet. People here resent the union and Chinese influence and tensions between S Korean and former N Korean citizens are noticeable.”

“Mars still sorta far - 10,000 residents, a good chunk of them are researchers, government officials, and military. Chinese, Americans, European Federation, and Union dominate Mars.”

“European Federation (modern day EU, plus Norway, Ukraine, all Balkan nations, and finally Turkey). Swiss are still being the Swiss and refuse to join anybody.”

“UK collapsed into four nations, whom are all part of the European Federation. Brexit killed them, and ironically brought them back, albiet in pieces. The monarchy has been disbanded. At least the English Premier League is still among the world's best.”

“Australia eventually been merged with New Zealand and a series of Pacific nations to form the Oceanian Union. Pretty weak still and easily manipulated by the PRC and the US.”

“An experiment to achieve immortality went wrong and a lethal virus unleashed, an old mine in Ceres reopens tomorrow, and spaceships with antimatter engines reached a new speed record. Oh, and Thursday marks 50 years since SpaceBook was launched.”

Speaking of Spacebook, I decide to connect to the virtual world. By this epoch, everyone has a cybernetic interface connected to their nervous system, which allows access to a “second world” online. On the one hand, you can play any game or watch any movie and feel that you are there (it gets a little wild with shooter games).

On the other hand, SpaceBook is a virtual universe where you can physically meet anyone, anywhere in the world – at least that’s how it feels. The developers are planning to expand SpaceBook, so that people living on the Moon and Mars will also be able to connect in the near future.

After being connected for about three hours and catching up with my contacts, I leave the “pocket life,” as I like to call it. There are people who spend much more time inside it, but I don’t care that much. Now that I have prepared my clothes and tools for tomorrow, I access the cloud and look for the codes that I didn’t know how to fix in my second job today. Then I download them to my brain. Finally, I check that the nano-alarm is set to sound again at 8:30 A.M., after which I go to sleep. A busy day awaits me tomorrow.

There are some other activities that I perform in my daily routine, but I hope this gives you an idea of the lifestyle in my times. Have a good century!


MB and Mb

Well, MB and Mb are different units. We shouldn't say USB 2.0 has transfer speeds of 480 MB/s, rather 480 Mb/s.  MB is megabyte or unit of data storage, while capital M lower case b forward slash s (Mb/s) is a megabit per second, which is a unit of data transfer rate.

I see individuals often confuse speeds of 40 megabit per second to mean that you can transfer 40 megabytes of data per second. Remember, that one byte is 8 bits, so to transfer a one megabyte file in a second you need an 8 megabits per second connection speed. Thank you!


The Observer Effect

The Observer Effect in Quantum Physics accentuates that Everything is affected by the observer.

That conclusion, from science, created an immense leap in my insight. It conveys that everyone ultimately sees a different truth because everyone is creating what they see.


Human Evolution


Not 13.7 billion, let's take just last 70,000 years of human history.

I have sensed that most of us conceive a misconception that we, humans, were always the ones in charge, lording over the rest of the animals. Quite frankly, long before we built the pyramids, wrote symphonies, or walked on the moon, there was nothing special about us. “The most important thing to know about prehistoric humans,” “is that they were insignificant animals with no more impact on their environment than gorillas, fireflies or jellyfish.”

One hundred thousand years ago, Homo sapiens was just one of a number of different human species, all competing for dominion. Just as today we see different species of bears or pigs, there were different species of humans. While our own ancestors lived mainly in East Africa, our relatives Homo neanderthalensis, better known as Neanderthals, inhabited Europe. Another species, Homo erectus, populated Asia, and the island of Java was home to Homo soloensis.

Today, of course, there is just one human species alive. How did we Homo sapiens take over the supreme role and others did not? In his sensational book 'Sapiens', Yuval Harari presented a series of plausible argument that it was our unique cognitive abilities that made the difference. About 70,000 years ago, Homo sapiens underwent a “cognitive revolution,” Harari writes, which gave them the edge over their rivals to spread from East Africa across the planet.

Other species had big brains too, but what put Homo sapiens in control is that we are the only animals who are capable of large-scale cooperation. We know how to organize ourselves as nations, companies, and religions, giving us the power to accomplish complex tasks. Harari’s concept of a “cognitive revolution” reflects David Christian’s notion in Big History of ''Collective learning'', how the ability to share, store, and build upon information truly distinguishes us as humans and allowed us to thrive.

Now the inevitable question comes to mind. “Can't other animals function as a group?” Of course, they do. In fact, even Baboons, wolves, and some others know how to function as a group. But their groups are defined by close social ties that limit their groups to small numbers. Homo sapiens has the special ability to unite millions of strangers around commons myths. Ideas like freedom, human rights, gods, laws, and capitalism exist in our imaginations, yet they can bind us together and motivate us to cooperate on complex tasks. Homo sapiens not just cooperate on a large scale, we do it with an unimaginable rate of flexibility, another trait put us ahead in the curve.


The Large-scale Co-operation


The human mind loves to worry— fair enough, because we should never stop worrying. Although there are plenty of subject matters for concern: terrorism, climate change, the rise of A.I., encroachments on our privacy, even the apparent decline of international cooperation, moral degradation as a whole, corruption—to know which things to worry about and how much to worry about them is a really daunting task. Since we fail to worry about the right stuff at the right time, worrying miserably adds to our anxieties instead of putting an end to them.

In my way of thinking, “What are today’s greatest challenges and most important changes? What should we pay attention to? What should we teach our young generations?” are admittedly some big questions to dwell on. And to give such intriguing questions an answer framework, I am inclined to my favourite writer, Yuval’s approach—rather than giving them handy conventional insights, I am more interested in connecting the historical dots while putting my own philosophical perspectives.

Can you think of organizing an Olympic Games in 1016? It’s clearly impossible. Asians, Africans and Europeans don’t know that the Americans exist. The Chinese Song Empire doesn’t think any other political entity in the world is even close to being its equal. No one even has a flag to fly or anthem to play at the awards ceremony.

The point is that today’s competition among nations—whether on an athletic field or the trading floor— “actually represents an astonishing global agreement.” And that global agreement makes it easier to cooperate as well as compete. Keep this in mind the next time you start to doubt whether we can solve a global problem like climate change, what should we pay attention to or what to teach our youths or how we should prepare them. Our global cooperation may have taken a couple of steps back in the past two years, but before that we took a thousand steps forward. And with this large-scale cooperation, each and every single identified problem in this world can be solved. Our generations got to worry each day to make this cooperation more efficient, more lively, more flexible.

So why does it seem as if the world is in decline? Largely because we are much less willing to tolerate misfortune and misery. Even though the amount of violence in the world has greatly decreased, we focus on the number of people who die each year in wars because our outrage at injustice has grown. As it should. That is why it is time to educate our generations that the most important things to emphasize in education are Emotional intelligence and mental stability. We are undergoing rapid changes each day and we must invent and reinvent ourselves amid the constant rapid changes.

However, to address, “What are today’s greatest challenges and most important changes?”-- It is always tempting to turn to experts, but how do you know they’re not just following the herd? “The problem of groupthink and individual ignorance besets not just ordinary voters and customers,” again as my fav writer Yuval argued, “but also presidents and CEOs.”… Also sounds I am presenting the argument following someone. Haha!