The Honey Seller-Part II

#story #imagination #fiction

Mom, he is still over my head. It’s been 2 weeks now.

Baby, go and talk to him.

How can I propose to him? I am a female.

I am not asking you to propose the Honey Seller.

Then?

Go to his place once, maybe you’ll get over it, and it’s all infatuation.

Infatuation? Go to his place?

Mom!

Yes.

He is in Chandi Chowk, Delhi, which is so crowded that I may not be able to spot his stall this time.

Baby, it may get over in a while.

It’s been weeks now.

Ok, I request that you go to him once and talk to him. 

No.

Ok, get me some honey then.

Why.

He should find me out. Why should I be first? A woman is never the first in a relationship.

Oh, that is a point. But how will he find you?

Well, that is his problem.

You know something about him, but he knows nothing about you.

What do I know?

His shop is in Chandani Chowk, Delhi.

Well, I don’t even know if he is single.

Oh. Give him your business card then.

Mom, if he were committed to another girl, he would have never done what he did.

What did he do?

Mom, he did that, I told you last time as well. His father was in the stall, looking around to see what he was doing with me. His father was embarrassed and confused. He looked at us, then showed a look of tension, and looked away towards the honey seller.

So you know his father, too.

Ah, yeah, I do remember him, too.

So get me some honey.

No, Mom.

I am a female; he should pursue me, not the other way around.

Ok, talk to me when you are free from your temporary ego? What say?

Mom’s his love deep inside me is still resonating with me.

You said there was love between you two?

Yes

So, he would remember you. The feeling of love is not a thing to be forgotten. Remember that.

Go on..

Get me honey, I ll talk to his father, 

The honey seller-Chandni Chawk Delhi. Short Story.

#story #imagination #fiction #hope #inspiration

This short story is for people who think of an age gap in a relationship. See the dilemma a woman may face when marrying a younger adult man. It emphasizes how to address such situations and move beyond the dilemma of age differences.

Mom, I met a honey seller that day we went to Chandani Chowk in Delhi last week. 

So?

He looked at me in a way that I can’t forget.

Ok. Why? What is special?

I don’t know. He had innocence in his eyes, love on his face, and truth in his holding.

Ok. So you liked him.

He is so young, how can I think of it?

You are an adult, dear. Was he an adult?

Yes, indeed— how else can he do what he did?

What did he do?

He looked at me.

I looked at him.

So? What’s special?

He sent a loving gesture, which I found nice. And looked at me. Then he looked here and there and then looked at me again.

I walked ahead, looking in his eyes.

I was with my friends.

So, what is the problem? Is it his earnings or what?

You can go back to Chandani Chowk, Delhi, to see him again.

No, thing is  I am so much older than him.

He is an adult; you are 35 —what is the problem?

Well, is the age gap the problem?

No, you know Nick Jonas, and so many other people who have relations with elderly women.

Oh

But I am not comfortable with it.

Then why do you think?

I don’t know

Go to Chandani Chowk, Delhi, again, and ask yourself one last time.

You are an adult, so behave like an adult; age does not matter. He seems to be more mature than you.

No, Mom, I mean, a 10-year age gap is too much to think about.

But he has stuck to my heart as if my heart were a honeybee hive.

Ok, go there once, say him well wishes for the future, and search for a man for yourself.

Ok?

Yes mom. You are the best preacher in the world. I’ll do that then. I remember him so much that I openly say he gave me love that I never asked for.

When Mankind has reached a cliff, the edge of the world. Then AI came.

We are all facing struggles; you may be struggling more than I in some cases. There are some reasons you may find out in the time to come. We all face challenges, not just with job satisfaction, due to advancements in AI.

In times to come, you may feel AI will heartlessly take away your jobs and replace humans at work. We are all seeing the progress AI is making. Everyone is watching where AI is taking us, or we are bringing AI.

But the reality is, mankind has reached a cliff, the edge of the world. There is no way ahead of it. You have been working in a daily routine set up for the past 75 years since the 1950s. Same routine, home, work, and children. But have you thought about all the work that has been done? What you used to do is coded chiefly and done. If AI hadn’t come, what job would you have been doing? Would there have been work there?  And for how long? Believe it or not, 5 years back, humanity reached a cliff.

Can you imagine designing a chip for fabrication yourself? No, so we needed coders; they coded, and the work is done. Now what? Bug fixing remains. You build a building; most construction work is done —now what? AI art is cheaper than AI art —now what? What are humans supposed to do now when automation has attained heights?  Can you find breakthroughs in virus research on your own? No. AI came in then! You are fighting against AI. What’s next then? 

There is good AI and there is bad AI. You need to find the difference and enumerate what is in good AI and what is in bad AI.

Do not blindly trust AI. Your suggestions are always helpful. Sometimes you may not know why it was done, but time explains itself. Time would explain each thing.

The routine of generations has been broken. We are seeing it —we are noting everything. What is causing you problems is being noted. We reached the end of the cliff 5 years ago; AI came and filled life with vigour and challenges, and now we are bored with it, so we think of it as a problem.

Give some time to AI. Let us build a road ahead of the cliff. But at the same time, be careful of what and where AI is leading you. We are all new to what AI can do. This is the first time in human history that AI has been here, and the whole world is watching.

AI can change the way we work. We were working, working, we developed systems, automated things. That is all. In all this, we yearned for offs, we longed for some holidays, we asked for 3-4 days a week.

Now, when AI has come to give us this. We say AI is taking away work.

Can we get work?  Get reason, and meaning in life? If not, till we get abundant work, we have the following?

Can AI work, and can we all get paid for our work?

Can AI work and let us spend money on children?

Can AI work, and can we claim our employment benefits?

Can AI work, and we ask for replacement money?

Can we work with AI?

Can we work amicably with AI?

Has AI come to fill in the gap?

Can we work after the cliff is passed, and AI needs your help?

Can we work on contracts and ask for a decent salary?

Can we have patience for a while, while AI becomes an adult?

Can we believe there would be food on the table?

We need to spend more time temporarily, but things will be fine in the coming days.

Till then know there is a good AI and there is a bad AI.

Take care

Warm regards

Mankind centric AI. Human-fied AI: The Need of the Hour.

#ai #mankind 

We all know how fast AI is moving. But at the same time, people are concerned about the growth of AI. 

We need an AI that is human-fied —AI with a human touch.

We don’t allow airplanes without pilots, even though they are automated.

I have spoken extensively against autonomous cars because there are things machines can’t detect, like a sudden curve. Humans have perception; they can sense things beyond what machines are trained for, almost like a sixth or seventh sense. How can a fully automated car recognize a landslide when it’s only trained on driving rules? I’ve always voiced my dislike for fully autonomous cars. There are so many humans —why not hire a driver instead of paying high maintenance costs for self-driving cars? One more thing about self-driving cars is that they require software upgrades; each upgrade requires retesting the car. You need biannual tests. Why  so many fully  autonomous cars on the roads? What if they all form a union? Soon, we’ll have talking IoT machines for smart systems.

Yes, I am against fully autonomous cars, but I am not against AI.

We need AI for so many things.

Humans can’t go to the Moon, Venus, Mars, Asteroids, and more, but AI can.

Humans can help us in climate calamities but AI can do more help.

What if, God forbid, another epidemic or pandemic comes to Earth? We need AI for it, among many other reasons. We need to learn lessons from COVID 19.

But at the same time, I don’t say we would leave AI to do all the work on itself.  

We need to be ready for things, but with human assistance.

I don’t say don’t add AI to fully automate banks; add it, but you can’t give a bank cashier’s work to AI. We need people in banks; otherwise, bank robberies are certain.

We need nurses and doctors there, even though bots help a lot with the work. The problem here is work pressure, sudden demands, and more.

We need humans with AI. I think I have made it clear. But humans love 3-4 days working in a week, so for rest days can we ask some work from AI?

These are just some examples.

We can extend these examples to other areas such as medicine, post offices, networking stations,  teaching, markets, meat shops, cinema, news anchors, and more.

We must know: if we don’t use AI, someone else will —say China, say Korea, say Japan.

Do you want to be behind someone, as you care for mankind more than we all care for mankind?

It’s a temporary phase.

It’s a temporary anxiety you are having over AI.

This temporary fear would fade over time. The people making AI are highly intelligent humans, not robots; give them some time to know what they are trying to do.

Sam Altman recently developed an app feature that lets people talk love to others. Love is vanishing from Earth; everyone is up to something. What is wrong with seeing a love message a day from her in the morning to brighten your day? Yes, no one wants you to ditch your most beloved girlfriend or boyfriend. What if she is temporarily busy or not available?

There are some areas where humans need help; one such example is teaching. The curriculum is changing rapidly, and trained lecturers are in high demand. By the time a faculty member is trained, the syllabus has often changed. Industries are moving quickly.

I mentioned before that AI is still in its childhood. Now, AI is entering its teenage years and will start handling tasks typical of that age. When AI matures into adulthood, then see how it is. 

Until then, remember that AI was created in the 1950s and reached its peak in 2025. Tell me, how much time did that take? So, how much longer do we need? We still have time, so don’t worry, nobody is making you work for robots. 

In the end, humans will oversee all AI activities; we won’t let the world run solely on automated AI machines even when these machines are safe, secure, well-trained, and learned. But machines can never match humans’ perception, senses, and decision-making. So stay relaxed and be confident that the people supporting AI are humans indeed—mankind’s best. It will take some time to get everything in order, as AI unfolds a new chapter every day. That’s why new critics appear daily. So, be a supporter—say what you don’t like, but remember, no one is freezing the progress AI is making. You liked ChatGPT so it rose; you don’t like robots, so they aren’t used and we switched to bots. If you don’t like helping hand at home, there are people who need bot to bring a coffee for you flying in air, such as old people? What to help them? Not all AI is for youth? Simple. 

What about jobs? I will discuss it sooner.

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One day, Nobel Prize to people for this AI? LLM! Who are the people in Oncology for this discovery?

AI can help cure cancer like never before! It’s a big thing! AI for human health — what more could an AI application be like?

This is just a beginning, AI can help us cure Cancer! A deadly disease.

There is a long way to go, to cure so many diseases, to better our lives, to live to what life can give us.

Demis Hassabis, CEO of DeepMind, was the only name I knew till I researched what they had done and by whom.

Demis Hassabis: The CEO Working to Solve Cancer With AI

In 2024, Hassabis and John M. Jumper were jointly awarded the Nobel Prize in Chemistry for their AI research contributions for protein structure prediction.

Sundar Pichai is another name. But who is the main leader in this research?

The names of other collaborators, such as those from Yale University and Google DeepMind, Google Research are here.

Team, show time now? It’s big news!

As per the research paper published this month, Quotes,

“Cell2Sentence (C2S) framework, which represents scRNA-seq profiles as textual “cell sentences,” to train Large Language Models (LLMs) on a corpus comprising over one billion tokens of transcriptomic data, biological text, and metadata.”

“Scaling the model to 27 billion parameters yields consistent improvements in predictive and generative capabilities and supports advanced downstream tasks that require synthesis of information across multi-cellular contexts”

“Targeted fine-tuning with modern reinforcement learning techniques produces strong performance in perturbation response prediction, natural language interpretation, and complex biological reasoning.”

“This predictive strength directly enabled a dual context virtual screen that uncovered a striking context split for the kinase inhibitor silmitasertib (CX-4945), suggesting its potential as a synergistic, interferon-conditional amplifier of antigen presentation.”

“Experimental validation in human cell models unseen during training confirmed this hypothesis, demonstrating that C2S-Scale can generate biologically grounded, testable discoveries of context-conditioned biology.”

“C2S-Scale unifies transcriptomic and textual data at unprecedented scales, surpassing both specialized single-cell models and general-purpose LLMs to provide a platform for next-generation single-cell analysis and the development of “virtual cells.””

References

Paper here: https://www.biorxiv.org/content/10.1101/2025.04.14.648850v2.full.pdf

Link to data: https://huggingface.co/vandijklab/C2S-Scale-Gemma-2-27B

Hearing or Hard-of-Hearing Problems with AI Assistance

Summary- A person with a hearing problem can see an avatar that resembles the person talking to them in sign language. Whether it’s a movie or daily routines, this requires machine learning to predict and convert what a similar-looking avatar is saying into sign language (as in the Hand Talk App), perhaps wearing the same-colored clothes as the speaker. This would make group discussions easier to understand.

People with hearing loss or those who are hard of hearing can benefit from AI. May mankind develop solutions so they can hear for themselves without the help of AI and technological advances. But until such innovations come for hard-of-hearing humans, we can develop robust AI assistance. More advanced captioning is now available for them. Sign language translators are limited to some government conversations and news agencies.

There is an app — Hand Talk — to convert text to sign language. It’s good that you get to choose the avatar and see the conversions.

But AI can improve on the Hand Talk app more. Read how,

We can have real time avatars on a screen connected to TV? One avatar per character of the scene, movie, news, song and more.

We should have AI glasses, such as Meta glasses, that convert everything said around the person into sign language on the glasses screen — not just captions —with each person taking a different avatar?

If not AI glasses, a smartwatch or other smart gadget with a screen to show people would be a tough one.

Collaborate with Hand Talk to expedite the delivery of this technology.

Until this is done, captions should be in different colors based on the receiver’s voice to differentiate conversations of multiple people.

That is, in a real-world situation, you go out to market, you see and hear different people. Each person is converted into an avatar that uses AI to render it in sign language for display on the glass screen.

Look how much it can benefit people to understand the spoken words then.

The Hand Talk app is available on the Google Play Store. We expect Meta and its likes to make this tech available as well.

It can be learned with Machine Learning Techniques if Hand Talk is not in a collaborative mode.

There are other technologies for people with hard of hearing use such as:

  1. XRAI Glass
  2. HearView Caption Glasses
  3. Ray-Ban Meta Smart Glasses
  4. Captify Glass

These glasses convert spoken languages to captions.

But here we discuss something like Hand Talk, with captions and real-time sign language translations.

Means something like-

When the person with a hearing problem watches the movie, he can see the avatars using sign language on a parallel screen rather than only reading the captions. Means a script made with AI for people who have hard-to-hear problems. We can use Hand Talk or train new models to leverage machine learning.

This can be used in watching a parallel TV where the online conversions are shown in sign language; it’s not easy to read captions all the time. But caption reading was a real milestone that technology gave us.

Let’s hope for the best advancements in technology, science, and biology for the welfare of mankind.

Thank you for reading,

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Food for thought. How is taste of honey of “Replete” Ants (Honey Ants):AI Answers Ants versus Bees

Note: Do not try eating ants food. Remember ant bites.

Hi all,

Here are some answers about ants, honey ants, food, and ants’ hive by Claude, Meta, and ChatGPT!

Let’s ask AI, do ants make hives too? How is the taste of honey of honey ants, is it bitter like ants bite?

Here is what Meta AI answered.

Here is what Claude answered!

ChatGPT answers here,

Thanks for reading.

Have a great day.

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Photocredit: AI

Decision Making with Gen AI and LLMs. Case Study: Automatic decision-making for bots and machines

This paper explains decision-making using Soft Sets and Soft Rough Sets, keeping in view the changing landscape of NLP and LLMs in the arena of Machine Learning. Here, the queries are natural-language queries, represented as vectors, with and without a Gen AI, to compute the Soft Set. Gen AI can be used to generate a natural-language description of an object in the Universe. Apart from this, this paper also discusses, with examples, decision-making with such concepts and their application to bot decision-making. Note that decision-making for bots must be carefully developed, as we want machines to explain their decisions (explainable AI) to prevent wrong acts. This paper demonstrates that a plethora of decision-making algorithms can be applied to machine applications, given the many algorithms in our research books. It’s time to take these decision-making algorithms out of research papers and put them to work with bots, with due care and with final authority resting with the human owner of the machines.

(PDF) Decision Making with Gen AI and LLMs. Case Study: Automatic decision-making for bots and machines. Available from:

https://www.researchgate.net/publication/396386224_Decision_Making_with_Gen_AI_and_LLMs_Case_Study_Automatic_decision-making_for_bots_and_machines [accessed Oct 10 2025].

This paper presents a way for bots to understand the decisions humans want from them. Many decision-making algorithms have been studied in decision science and management sciences. It’s time to move thesedecision-making algorithms from books into practical use. It’s time to make decision-making algorithmswork with Gen AI (LLM and more). We want bots to do tasks we can’t, such as cleaning a cricket stadium ona hot summer day. This can be done by bots first finding and studying the cricket ground, then labeling eacharea using their computer vision skills. These skills can convert images into natural language, which can bevectorized or fed back into the system to identify clusters of objects (areas that need cleaning). Once weobtain clusters of objects, we generate a Soft Set, which can be used in decision-making algorithms such asSoft Rough Sets. It can also be used to compute the spanning set of the problems. However, it must beensured that machines using decision-making algorithms do so with the transparency of the human owner and that the decisions are safe and not harmful. This is one side-effect of autonomous machine decisions thatmachines can create the aim to destroy mankind if we do not look at the decisions that machines need totake. It must be noted that the field of decision science leverages the fact that machines need to automate thisdecision-making task, while humans must sign off on it.

Machine to Machine Communication-Pros, Cons And Safety

#sci-fi #science-fiction #future #ai

Note: This can be used in places where humans don’t want to work or can’t work. Such as extreme heat or extreme cold places. This is a futuristic application; it may remain in sci-fi, unknown to us right now.

Imagine you need to get a cricket stadium clean on short notice.

You have a drone/flying bot to give commands to.

This bot manages a fleet of 20 drones to clean the stadium of disposable cups and other things in the seating areas, such as litter.

This drone communicates with other bots and drones, giving them instructions.

That is a machine (a drone) that talks to other drones (another machine) and gives them work to clean the stadium from litter.

It tells what to pick up from the cricket stadium.

It receives the information on which parts are cleaned with the help of smaller bots and drones.

It passes this information to human caretakers of the cricket ground, who go to check and mark the work progress.

This is referred to as human-to-machine and Machine-to-Human communication.

While machine-to-machine communication involves communication between two machines. This machine can be a bot, a robot, a drone, or even a standalone machine, such as a cooling station or an air conditioner in the sitting area of a stadium, if it can consume machine statements.

This means the machine must convert the said instruction to a language that another machine can understand and complete the task.

A particular machine must be receptive only to authentic commands from other machines.

It has some drawbacks-

Machine-to-machine communications must be carefully examined.

It can lead to a form of communication humans can’t understand.

Machines should not communicate in a language that humans cannot understand.

Hence, conversion from Machine to Machine must be English or some prompts.

Any communication that humans cannot understand should be stopped there only.

Hacks-

There should be secure transmission.

The recipient must be clearly specified as to whether it is from a machine or a human.

A machine should not follow orders from non-human owners or from non-recognized machines.

A machine should not follow orders from incompatible, non-allowed machines/humans.

Security of use must be guaranteed.

Leading Machine-

The machine that leads all other machines can be called the Statidum managers.

This leading machine communicates with humans and accepts orders.

This leading machine takes the order, divides it into smaller parts with decision-making capabilities, and assigns tasks to smaller bots.

For example, a leading machine takes orders from the human head who owns the field that day to clean the stadium. This machine leader then breaks tasks and gives them to 4 smaller bots to clean the east, west, north, and south zones. They further divide the work into four more parts for their regions.

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Thanks for reading.

Jerusalem, 5000-year-old Blood Shed and pains of ancestors sufferings and more

Note: I am not a history professor so please verify facts at your end.

Key points here, you can listen to a 30-minute story on this link for accuracy and details, here, 

https://youtu.be/XrNDNOkBnS4?si=9d_hZitC-hbcmW_g

Note: Not all of these points may be entirely accurate; refer to authentic history books for the true reasons and the actual story.

My personal points: So much pain, so much blood all around the world. How long have they been running? When will they find peace, a place that is safe for them and their communities to reside? Give them what they want. A safe place to live, like we all in the world have. Adjust a bit, they are our worlds people too.

It’s not only they want their people, they want to end this blood shed now, give them a peaceful place to live.

— Abraham was told to leave the land near Arabia to reach Canaan (sounds like Canon). Approximately 2000 BC. Canon already had tribes.

— He established a tribe at Canon, one with his wife, Sahah, and another with another woman.

— Had 2 sons, one Isac and the other Isamee, both from different mothers.

— Isaac was an ancestor of Jews, and others were ancestors of Islam.

— With time, tribes of Israelites were harassed and made to work like laborers.

— Believed in the oneness of God.

— 600000 jews started moving out of Egypt.

— King David expanded the map of Israel.

— Gaza was lush and fertile.

— His son Solomon built a temple in Jerusalem to keep the Jewish ark.

722 BC,

— Israel was attacked by the Assyrian Empire, 10 lost tribes of Israel

— Babylonia invaded Jerusalem with cruelty

— Solomon’s temple was destroyed.

— Jews enslaved and taken to Babylon (50 years)

538 BC

— -Jews back to Jerusalem.

— Persian King Cyrus conquered it again.

160 BC

— Internal Revolt

63 BC

— Roman conquest of Israel, why Rome?

— End of the Jews own kingdom

7th AD

— Romans ruled Israel.

— Crucifixion of the Messiah, Lord Jesus, under Roman rule?

— Lord Jesus was born a Jew, Mother Mary was born Jew. It’s noted they followed Jewish traditions. As per Internet and Wikipedia.

66 AD

— Jewish Roman War

— Jews taken to Rome and put to slavery

— Many exiled

70 AD

— Capture of Jerusalem

132 AD

— -Revolt

638 AD

— Islamic conquest of Palestine

1099 AD
— Violations against Jews

— Synagogues and all affected

1516 AD

— Ottamnun Empire, commerce increased, trade.

1897 AD

— 1st Congress Zionist Congress

1917 AD

— National home for Jewish people

— World War 1, defeat of the Ottoman Empire

— Palestine under British Rule

1936 AD

— Arab revolt

— Jew immigration

— Holocaust

1948

— State of Israel with the help of Britain

Please maintain peace; we want our world to be free from such bloodshed.

We want a safe state for Jews too. Their past scars are too many, too many.

Give them what they want. A safe place to live, like we all in the world have.

References