KungfuPanda

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[KungfuPanda @_VenkatSoundar]

@BadCapitalVC 👋

[KungfuPanda @_VenkatSoundar]

@Nicolascole77 Social

[Zucker Doctor @DoctorLFC]

Insulin has saved millions of lives since its discovery in 1921.

The insulin patent was sold by Frederick Banting, Charles Best & James Collip to the University of Toronto for a symbolic fee of only $1 each in Jan 1923.

"Insulin does not belong to me, it belongs to the world" - Frederick Banting

[Math Files @Math_files]

In 1798, a scientist effectively “weighed” the Earth — without leaving his laboratory.

The English scientist Henry Cavendish designed an incredibly sensitive experiment.

Inside a quiet wooden shed, he hung a horizontal rod from a very thin wire. Two small lead spheres were attached to the ends of the rod.

Nearby, he placed two much larger lead balls.

Because of gravity, the large spheres slightly pulled the smaller ones. The force was extremely tiny — so small that the rod twisted by only a minute fraction of a degree.

Yet that tiny twist held a big secret.

By carefully measuring this small movement, Cavendish determined the strength of the gravitational attraction between objects.

From this, scientists could calculate the mass of the entire Earth.

His estimate was remarkably close.

Cavendish calculated Earth’s mass to be about 6 × 10²⁴ kilograms, while modern measurements give 5.97 × 10²⁴ kilograms.

Sometimes the biggest discoveries come from measuring the smallest forces.

[Aakash Gupta @aakashgupta]

A 15-year-old girl immigrates to New Jersey from China. Doesn’t speak English. Her parents, both educated engineers back in Chengdu, are now working as cashiers and restaurant cooks. She gets a job washing dishes at a Chinese restaurant to help the family survive.

She gets into Princeton on a full scholarship. Her reaction is so disbelieving she asks two different advisors to verify the acceptance letter is real. Then her mom gets sick, so the family opens a dry cleaning shop in Parsippany. Every weekend for seven years, Fei-Fei Li leaves Princeton’s physics department to run the register, handle inspections, talk to customers, manage billing. Monday through Friday: quantum mechanics problem sets. Saturday and Sunday: sorting other people’s laundry. She later called herself the “CEO” of the dry cleaning business. She kept running it remotely through half of her PhD at Caltech.

In 2007, she proposed building an image dataset so massive her own mentor told her she’d taken the idea “way too far.” Pre-ImageNet, the entire AI field was working with datasets containing a few hundred images. She built one with 15 million. Most researchers at the time believed algorithms were the bottleneck. She bet on data when nobody else would.

By 2012, a team ran a neural network on that dataset and halved the existing error rate overnight. AlexNet on ImageNet became the moment the deep learning era started. Every computer vision product shipping today traces its lineage back to that dataset.

Fast forward to 2024. She starts World Labs. Four months in, $230 million raise, $1 billion valuation. Today, $1 billion more at roughly $5 billion.

The bet investors are making: that the woman who gave AI its eyes with 2D image recognition is about to give it spatial awareness of the 3D physical world. Her new model, Marble, generates persistent 3D environments from text or images. Unlike video generators that fake depth frame by frame, Marble creates actual geometric space where objects stay where you left them.

The investor list tells you everything. AMD and NVIDIA both wrote checks. When the two biggest competing chipmakers both fund the same startup, they’re telling you this workload is coming whether their competitor funds it or not. Autodesk put in $200 million and signed on as strategic advisor, which means they see spatial AI integrating directly into CAD and design workflows within 18 months.

From dry cleaner to ImageNet to a $5 billion spatial intelligence company. Fei-Fei Li has now placed two bets that the rest of the field thought were too early and too big. The first one created modern computer vision. The second one is trying to give machines the ability to understand physics.

If she’s right again, this is the last major unlock before embodied AI actually works.

[Aditya Kondawar @aditya_kondawar]

The most radical innovation at Lemon Tree Hotels had nothing to do with room design or pricing. It was about who stood behind the reception desk, who cleaned the rooms, and who served breakfast

In a dialogue between the HR department and the CMD, Patu Keswani, they decided to hire 2 differently-abled people. "It was an experiment. The team was not sure how the new staff members would integrate with the rest of the team or if they could do the job," says Aradhana. The impact of this small gesture was apparent when Mr. Keswani was approached by a very emotional mother of one of these persons with an invitation to attend his wedding. The possibility of this nuptial would have been negligible if the boy had no job. By merely giving an opportunity, everything changed. And, the business continued to gain from the services of 20+ differently-abled resources. Since that day, there has been no looking back.

What started as an experiment evolved into one of the most ambitious inclusion programs in the global hospitality industry. Currently, ~13% of Lemon Tree employees are from this disadvantaged segment of the population, although the company targets and often achieves a rate closer to 20% in many properties.

"This is not charity, it is our business model" became Lemon Tree's mantra. The numbers backed it up. Employees with disabilities showed lower attrition rates (12% v/s industry avg of 50%). They demonstrated higher loyalty, better attendance, and often superior performance in their designated roles. The deaf employees in housekeeping communicated through visual cues and checklists, often resulting in more thorough cleaning. Staff with Down syndrome, working in consistent routines, excelled in laundry and food service roles.

Lemon Tree Hotels has been presented the National Award by the President of India for 'Best Employer of Persons with Disabilities' in 2016 and 2011, and a third National Award in 2012 for being a 'Role Model in providing a Barrier Free Environment to Persons with Disabilities'.

The business case was compelling. In an industry plagued by 50-100% annual turnover, Lemon Tree's inclusive hiring created a stable, dedicated workforce. Training costs dropped. Service consistency improved. And something unexpected happened—guests noticed. The genuine warmth from employees who had been given opportunities they couldn't find elsewhere created an authenticity that no amount of hospitality training could replicate.

The ripple effects went beyond the hotels. Lemon Tree partnered with NGOs to create training programs. They developed visual communication systems that became industry standards. They proved that infrastructure changes for accessibility—ramps, visual alerts, modified workstations—cost less than the savings from reduced turnover.

By making inclusion a business strategy rather than a CSR initiative, Lemon Tree didn't just change lives—it changed the economics of hospitality employment in India.

This is awesome!

Src – Empor top, no reco

[A K Mandhan @A_K_Mandhan]

#Shocking

Rajeev Jain, CEO, Bajaj Finance, on Q3 Concall on the Impact of AI –

“AI listened to 2 Cr calls, converted voice to text, and gave us data. Text-to-data conversion happened for 5.2 lakh customers. As a result, we generated 100,000 new offers for which we did not have information earlier.

“This capability did not exist in Q1 and Q2. It just got deployed. We’ll be able to listen to 100 million calls next year,” said Jain. He added that loan disbursements through AI-powered call centres stood at about Rs 1,600 crore. That’s ~ 10% of the Rs 16,545 Cr of disbursals in Q3FY26

Data converting -- data from those calls led to another INR 325 crores of volumes. So, this is just our first attempt.

Over the next six months, Bajaj Finance plans to invest heavily in its agents. The company expects to have more than 800 autonomous agents across sales, operations, HR, IT, risk, and DMS in the next fiscal.
Similarly, in terms of 100% of videos are now generated by us using AI, 100% of banners are generated using AI, 2.7 lakh videos were generated, and 1.2 lakh banners were generated. At the customer engagement level, we have 11 AI text BOTs that are live that engage with the customer. So rather than sending dumb SMSs for 11 products now, we have an AI text BOT, which allows you to engage, interact, and respond to your queries.

The company has 26 products. All 26 will be live between April and May'26. So, there will be no communication that we'll be sending, which will not have a -- whether service or sales, which will not have a conversational BOT embedded in it.

At the branch and point of sale, existing customers face match that we're doing, we did 46 million face matches to ensure this is the same customer, if it's an ETB customer who had actually principally come in, giving us much better control over identity.

Customer onboarding in terms of document -- ensuring that auto-fill of the document happens, whether it's a PAN card or an Aadhaar. There are 43 such documents that the company has now mapped, which an image extracts with a 95% - 96% accuracy and populate data in our platforms, delivering significant productivity for our employees.

Auto quality check of documents is now 41%. As we sharpen the model, it will take us to between 85% and 90% over a period of the next 15-odd months

On technology development, we are clearly seeing between 25% - 45% efficiencies emerging in terms of the development process, depending on whether it's a legacy platform, then the benefit is much lower, or rather, I would say, none. But if it's a digital infrastructure, then the efficiencies can be as high as 45% - 47%. So significant work is being done.

Src – Q3 Concall, no reco

[Chennai Updates @UpdatesChennai]

A normal conversation with a security work at Kilambakkam Park. He’s part of that Knowledgable Chennai crowd too...😅

[Woke Eminent @WokePandemic]

Man before quitting his job says..

I don’t think I can do this for another 25 or 30 years.

Ten years in an investment bank,Ten years of grinding, Ten years of showing up, performing, surviving,And now? Low energy,Constant anxiety,Burnout...

Before AI even takes away jobs, people are already breaking.Burned out, Drained, Empty.

So many don’t even want to be replaced, they just want out. Out of the endless deadlines,Out of the fake smiles,
Out of trading health for salaries,Out of lives reduced to KPIs and quarterly targets.

We were trained into a labour mindset from school itself.
Sit straight, Follow rules, Don’t question, Prepare for employment.

No one taught us how to build our own paths.
No one taught us how to protect our mental health.
No one taught us that life is more than performance reviews.

And now adults everywhere are silently drowning.
This isn’t just one man quitting a job.
This is a generation quietly collapsing.

Something is deeply wrong.

Work was supposed to support life.
But today, life is being sacrificed for work, Things need to change,Because if this continues, we won’t need AI to destroy jobs…

People will walk away on their own.

[Simons @Simon_Ingari]

ADVICE TO ALL EMPLOYEES :

1. Build a home earlier. Be it rural home or urban home. Building a house at 50 is not an achievement. Don't get used to government houses. This comfort is so dangerous. Let all your family have good time in your house.
2. Go home. Don't stick at work all the year. You are not the pillar of your department. If you drop dead today, you will be replaced immediately and operations will continue. Make your family a priority.
3. Don't chase promotions. Master your skills and be excellent at what you do. If they want to promote you, that's fine if they don't, stay positive to your personal.

development.
4. Avoid office or work gossip. Avoid things that tarnish your name or reputation. Don't join the bandwagon that backbites your bosses and colleagues. Stay away from negative gatherings that have only people as their agenda.

5. Don't ever compete with your bosses. You will burn your fingers. Don't compete with your colleagues, you will fry your brain.

6. Ensure you have a side business. Your salary will not sustain your needs in the long run.

7. Save some money. Let it be deducted automatically from your payslip.

8. Borrow a loan to invest in a business or to change a situation not to buy luxury. Buy luxury from your profit.

9. Keep your life,marriage and family private. Let them stay away from your work. This is very important.

10. Be loyal to yourself and believe in your work. Hanging around your boss will alienate you from your colleagues and your boss may finally dump you when he leaves.

11. Retire early. The best way to plan for your exit was when you received the employment letter. The other best time is today. By 40 to 50 be out.

12. Join work welfare and be an active member always. It will help you a lot when any eventuality occurs.

13. Take leave days utilize them by developing yr future home or projects..usually what you do during yr leave days is a reflection of how you'll live after retirement..If it means you spend it all holding a remote control watching series on Zee world, expect nothing different after retirement.

14. Start a project whilst still serving or working. Let your project run whilst at work and if it doesn't do well, start another one till it's running viably. When your project is viably running then retire to manage your business. Most people or pensioners fail in life because they retire to start a project instead of retiring to run a project.

15. Pension money is not for starting a project or buy a stand or build a house but it's money for your upkeep or to maintain yourself in good health. Pension money is not for paying school fees or marrying a young wife but to look after yourself.

16. Always remember, when you retire never be a case study for living a miserable life after retirement but be a role model for colleagues to think of retiring too.

17. Don't retire just because you are finished or you are now a burden to the company and just wait for your day to die. Retire young or whilst energetic to enjoy waking up for a cup of coffee, enjoy the sun, receive money from your business, visit nice place that you missed and spend good time with family. Those who retire late, spend about 95% of their time at work than with their family and that's why they see it difficult to spend time with their family when they retire but end looking for another job till they die. If they don't get another job, they die early.

18. Retire at your house than at government accommodation so that when you retire you can easily fit into the society that raised you. It's not easy to adjust to live in a location after spending more years at company house or at government house.

19. Never let your employment benefits make you forget about your retirement. Employment benefits are just meant to make you relax, get finished whilst time is moving. Remember when you retire no one will call you boss if you don't have a viable business.

20. Don't hate to retire because one day you will retire either voluntarily or involuntarily.

Hope this will help you look at life positively

[Luke Coutinho @LukeCoutinho17]

Wakeup India , you need to know these brutal truths about Idli and Dosa.

The fermented South Indian legends that your ancestors crushed daily while staying lean, strong, and disease-free.

Stop demonizing these foods.
The real enemy is your Netflix-10 minute junk delivery, sitting all day, over eating and over chill lifestyle.

1/11

[KungfuPanda @_VenkatSoundar]

@LoganTGott Yes

[KungfuPanda @_VenkatSoundar]

@LessEgoMoreData Run

[Dharmesh Ba @dharmeshba]

Nithra App Studio
- 65 active apps on Play Store
- Cumulative 50M+ downloads
- Only one Hindi calendar app
- Rest split across Tamil, Telugu, Malayalam, and Kannada
- Major hits: Tamil Calendar (10M) and Hindi Calendar (10M)
- FY24 ~2M revenue
- Also runs an app-building studio

Built from Tiruchengode (Tier 3 town in Tamil Nadu)

I keep telling my friends that we're too intellectual to build for the country, battling jargons like CAC, Moat, USP, LTV, ACV. Lol.

[Pankaj @the2ndfloorguy]

story behind "why netflix built https://t.co/YDCurkt2BM" is brilliant.

so, netflix had a massive fight with ISPs around 2014-2016. ISPs were slowing down netflix on purpose. they wanted more money from netflix

customers got bad streaming. but ISPs just blamed netflix.

netflix had to pay comcast, verizon, at&t and time warner for direct connections to their networks.

but in 2016, they launched fast dot com, clever part - It's not testing your general internet speed. It's testing your speed to netflix's servers specifically. so when someone complained about buffering, netflix could say "run fast dot com." If it's slow, the ISP is the bottleneck.

suddenly millions of people had a tool to prove their ISP was the problem
ISPs couldn't hide anymore.

netflix positioned themselves as the transparent good guys fighting for customers while ISPs looked like greedy monopolies

they solved a pr problem and a customer service problem with one simple website

I guess, that's how you win a corporate war

[KungfuPanda @_VenkatSoundar]

@matt_gray_ IG

[KungfuPanda @_VenkatSoundar]

@ShreyaYadav___ Prompt

[KungfuPanda @_VenkatSoundar]

@coldemailchris Playbook

[Tim Ferriss @tferriss]

Based on everything I’ve seen, a simple recipe can work: focus on what’s in front of you, design great days to create a great life, and try not to make the same mistake twice. That’s it. If you really want extra credit, try not to be a dick, and you’ll be a Voltron-level superstar.

The secret to winning any game lies in not trying too hard.

Feeling as though you are trying too hard indicates that your priorities, technique, focus, or mindfulness is off. Take it as a cue to reset, not to double down. And take comfort in the fact that, whenever in doubt, the answer is probably hidden in plain sight.

What would this look like if it were easy?

In a world where nobody really knows anything, you have the incredible freedom to continually reinvent yourself and forge new paths, no matter how strange.

Embrace your weird self.

There is no one right answer . . . only better questions.

[KungfuPanda @_VenkatSoundar]

@AMAZlNGNATURE @grok where is this place