ashutosh tripathi

Education has been my passion but still trying to figure out how to use this to impact millions .

[ashutosh tripathi @ashutoshkps]

“There are many tools one must get in hands to think scientifically - ideas about cause and effect, respect for evidence and logical coherence, a dash of curiosity and intellectual honesty, the inclination to make falsifiable predictions, etc.

[ashutosh tripathi @ashutoshkps]

This is really worrying

[Vikas Vij @TheClubJunto]

NITI Aayog Report Reveals the Scale of Education System Failure

(a) India’s median age: 28 yrs (b) 92% of 14 cr graduates with jobs unfit for them (c) 9 cr youth: no work, no study (d) 16 cr students: No skills; teaching is outdated, misdirected, disconnected.

Completely Directionless

Earlier this week, NITI Aayog published a 100-page report titled “Reimagining Skilling for Viksit Bharat @ 2047. Highlights:

a. India is one of the youngest nations globally with a median age of 28 yrs. Nearly 1 cr working age youth are getting added every year.

b. With 14 cr graduates and 50 lakh new graduates getting added every year, only 8.25% are employed in roles fit for their qualifications. (Report cites Economic Survey.) Majority are unemployed or casual labourers.

c. 12 cr students in Grade 6 onwards in school and 4.4 cr students pursuing degrees have little to no exposure to skills or training. The academic curricula has a "fundamental disconnect" with labour market demands.

d. Over 2 cr are currently enrolled in BA, BCom, BSc, which have “weak job linkages.” Many pursue these degrees so that they can be eligible to apply to government jobs.

e. Between Nov 2024 and July 2025, 1.86 cr applications were received just for 55,000 govt posts (Chances of selection: 1 out of 338).

f. 9 cr Indian youth (15 to 29 yrs) are in NEET category: Not in Education, Not in Employment, Not in Training.

g. National Education Policy (NEP) 2020 envisaged that 50% of students would have exposure to vocational subjects by 2025, and 100% of students by 2030. NEP specified dedicated hours for vocational skill exposure from Grade 6.

h. Reality Check: “Nascent” (negligible) implementation till 2026, according to NITI Aayog. Students have little exposure to General Employability and Entrepreneurship Skills (GEES).

i. Delivery Gaps: NITI Aayog points out that in higher education, faculty often has no industry know-how. For example, commerce teachers are delivering digital marketing content, resulting in superficial exposure.

j. Both school and college education remain classroom-bound. Practical training, hands-on projects, internships, apprenticeships, business-readiness modules, mentorship, or local incubation support are largely absent.

k. Even in Industrial Training Institutes (ITIs), only 8.5% of trainees took up apprenticeships in 2018. (No data available after 2018). Over 13 lakh ITI seats remain vacant every year because the ecosystem is broken.

l. Launched in Oct 2024, the Prime Minister’s Internship Scheme (PMIS) offers 1 crore youth internship opportunities in India’s top 500 companies from 2025 to 2030. Status:

Year: 2025 (Pilot Round 1)
Unique Applicants: 1.81 lakh
Offers Issued: 82,000
Offers Accepted: 28,000
Joined Internship: 8,700

Dropouts (Pilot Round 1 & 2)
Joined: 16,060
Dropped Out: 7,094
Completed: 3,417

Final pilot phase (Round 3) is ongoing from April to Dec 2026. Number of candidates who joined: 10,000.

Reasons for Poor Response: (1) Stipend of ₹9,000 p.m. for a 6-month internship. An unemployed person may spend it on transport and food only. (2) Many candidates report “internships” are concentrated in sales, marketing, and support functions.

Global Benchmarks

NITI Aayog highlights international best practices for training and skilling. (Note: The report avoids any mention of China, which has become the gold standard for vocational training).

Indonesia: With the world’s 4th largest population, Indonesia offers 50% vocational curriculum after Grade 9; deep competency specialization; mandatory internships; industry-recognized certifications.

Germany: From Grade 6, students are assigned to 1 out of 3 schools of their choice: (1) Academic focus (2) Vocational Focus (3) Sports. Higher Secondary Onwards: Dual Apprenticeship System with industry.

Australia: Secondary school onwards: Multi-year apprenticeships with the industry that let students work, train, and study simultaneously. Hiring incentives and wage subsidies offered to employers.

Singapore: Launched in 2015, SkillsFuture is a national program for “lifetime upgrading of skills” to align all citizens with evolving labour market needs. It includes subsidized, employer-linked training.

ENDQUOTE

“I constantly see people rise in life who are not the smartest, but they are learning machines.” – Charlie Munger, USC Law School Speech, 2007

@arabicatrader

[Indian Tech & Infra @IndianTechGuide]

🚨 Chennai-based Agnikul Cosmos has announced Mission-02, which aims to demonstrate India's first recovery of an orbital-class rocket booster after launch. 🙏 🤯

[Skyroot Aerospace @SkyrootA]

One of the most meaningful outcomes of Mission Aagaman was the trust our customers and partners placed in us.

Vikram-1’s maiden flight successfully deployed Grahaa Space’s SOLARAS satellite and Skyroot’s own SCOPE technology-demonstration satellite, while carrying in-orbit experiments from Cosmoserve Space and DCUBED.

The mission also carried Cosmos Diamonds’ Cosmic Bloom diamond, along with micro-artist Ajay Kumar’s extraordinary creations—a microscopic 18K gold rocket and intricate micro-sculptures honouring Dr. Vikram Sarabhai, Dr. A.P.J. Abdul Kalam and Sir C.V. Raman. A tribute to India’s scientific legacy, carried into space alongside the mission.

Here’s to many more missions. 🚀

[Pawan Chandana @PawanKChandana]

It’s been 24 hours now…

Vikram-1’s launch still feels surreal.

Knowing just how hard this is, I couldn’t contain the excitement at Mission Control as the rocket we built with so many dreams successfully inserted satellites into orbit — on its very first attempt.

Just phenomenal! 🔥🚀🚀

[Vikas Alwys @VikasAlwys]

Meet Uday Ruddaraju, who completed his https://t.co/YSvOF5fxhn from CBIT Hyderabad, Telangana. NO IIT, NO NIT, NO top university... yet today, this Indian Guy is the CTO of @OpenAI 🔥

He graduated from CBIT in 2011 and landed an internship at Amazon Web Services (AWS), where he gained valuable exposure to cloud infrastructure.

He later moved to the US to pursue a Master's in Computer Science at the University of Minnesota.

From 2013 to 2018, he worked at eBay, helping modernize its cloud infrastructure, drive Kubernetes adoption, and scale engineering systems.

In 2018, he joined Robinhood, where he led the infrastructure organization as the platform grew from 1 million to 24 million users, ensuring reliability at massive scale.

In 2024, he became Head of Infrastructure Engineering at xAI, leading compute, networking, storage, research infrastructure, and data centers. His team built Colossus and trained Grok 3 on a cluster of over 100,000 GPUs.

In 2025, he joined OpenAI to lead Compute Infrastructure. Just 2 days ago, he was promoted to CTO of @OpenAI .

Where you study matters far less than the what you become exceptionally good at.

FYI check :-
https://t.co/kIFh7b14KQ

[Nabla Bio @nablabio]

Today, we expand zero-shot drug design beyond binding to the design of multifunctional medicines, the intracellular proteome, and state-of-the-art atomic precision with our model, JAM-2.

In a new report (below), we show:

1. The first drug-grade, fully computationally designed multispecific antibodies against five peptide-MHCs: Routine picomolar T-cell activation/cell-killing EC50s, >100-fold selectivity, and drug-like developability

2. The first fully generatively designed, drug-grade dual-variant KRAS G12 multispecifics: They recruit primary T-cells from human donors to kill G12V and G12C presenting cells at pM to single-digit-nM potency, completely sparing wild-type.

3. Atomic accuracy, from sequence alone: Angstrom-level agreement between Cryo-EM and JAM-2 de novo designs, requiring only target sequences (not structure) as input.

4. Unrivaled speed with an AI-native in-house wet lab: Designed, built, and tested five programs in one parallelized campaign, end-to-end in-house in ~6 weeks.

5. A higher validation bar for AI-generated drug candidates: In a field increasingly rife with hype and uneven standards of proof, we provide the highest quality public wet-lab validation of AI-designed antibodies to date. We share experimental methods in full, and invite folks to adopt and build on these standards.

Truly individualized therapies will be the most important contribution of AI in drug design. These advances help accelerate this future.

[Midjourney @midjourney]

Announcing a new division of Midjourney called "Midjourney Medical"

[ashutosh tripathi @ashutoshkps]

Crazy

[Alex Volkov @altryne]

MidJourney just announced... a full body ultrasound! Yup... read on because it's as crazy as it sounds.

"As powerful as MRI and as casual as a trip to the spa"

They are calling it "the @midjourney scanner"

Insane details:

- First, the scale. The device uses 8,960 individual transducers arranged in a ring around your body

- The precision is the most jaw-dropping part: it resolves motion at the picometer range. It can image internal tissues finer than the width of an atom. We are talking sub-atomic level diagnostic capability

- The compute requirement is massive. The system processes 17 gigabytes of data per second.

It takes 40GB of raw data to reconstruct just one cross-sectional slice. And they are planning to scan 100 slices?

- Midjourney claims that fewer than 12 of these machines could perform more full-body scans than every MRI machine on Earth combined.

Welcome to the future of healthcare!

Not only these scanners are announced, they will exist in a "Midjourney SPA" - with hot tubs, saunas, cold plunges, and 9-10 whole body scanners.

[0xDipper @Dipper_pol]

Nassim Taleb sat down with Daniel Kahneman - two of the sharpest minds on risk ever - and the takeaway was blunt: stop trying to be smart

Kahneman's prospect theory explains why almost nobody can do what Taleb does

We're wired to hate the steady trickle of small losses his strategy needs - even when one huge win more than pays for all of them

So you structure it the other way: tiny safe bets plus a few wild ones, never the comfortable middle.

"You'd rather be antifragile than intelligent - any time."

"Trial and error is really just trial with small error."

"Make your gains in small bites. Take your losses all at once."

~1 hr, free. two legends on risk, prediction, and how to win without forecasting ↓

[The Husky @Mr_Husky1]

A 24-year-old Polish tennis player arrived in Paris last week ranked 114th in the world, with no sponsors, no guaranteed income, and no certainty she could even pay for her hotel room.

She had to win three qualifying matches just to enter the French Open main draw. Prize money is only paid at the end of the tournament, so a Polish sports drink brand quietly stepped in and covered her hotel bill.

Her name is Maja Chwalinska. And today, she plays in the French Open final.

Before this tournament, she had won exactly one Grand Slam main draw match in her entire career. She had battled depression so severe that in 2021 she couldn't get out of bed. She underwent knee surgery in 2022. She spent years grinding through small tournaments across Europe just to stay afloat.

Then she arrived in Paris, won three qualifiers, and kept winning. Zheng Qinwen. Elise Mertens. Maria Sakkari. Diana Shnaider. Nine straight matches. One set dropped.

She is now the first qualifier in French Open history to reach the final. The last time a qualifier reached a Grand Slam final, it was Emma Raducanu at the 2021 US Open. Raducanu won.

By simply making the final, Chwalinska has earned more prize money than her entire career combined. The runner-up cheque alone is $1.6 million. If she wins today, she takes home $3.25 million.
One week ago she couldn't pay for her hotel room.

[The Khel India @TheKhelIndia]

OH MY GODDDDDD!!!!! 🤯🙌

THE FIRST MAN IN ENTIRE HISTORY TO BREAK 2 HOURS IN A MARATHON! 🔥🔥🔥

Kenya's Sabastian Sawe broke the World Record with 1:59:30 timing at London Marathon

FOLKS, THIS IS SUCH A UNIMAGINABLE STUFF!

[ashutosh tripathi @ashutoshkps]

Un believable but true

[Seth Howes @SethSHowes]

I sequenced my genome at home, on my kitchen table.

I wrote up exactly how I did it - the equipment, protocol, theory, and cost:

https://t.co/Nkjqaho2zm

[David Sinclair @davidasinclair]

Most breakthroughs like age reversal don’t happen in isolation. They happen when the right people, technology & mission align.

That’s why I’m building Lifespan

Follow the science. Join the community. Shape the future

[Aakash Gupta @aakashgupta]

The math on this project should mass-humble every AI lab on the planet.

1 cubic millimeter. One-millionth of a human brain. Harvard and Google spent 10 years mapping it. The imaging alone took 326 days. They sliced the tissue into 5,000 wafers each 30 nanometers thick, ran them through a $6 million electron microscope, then needed Google’s ML models to stitch the 3D reconstruction because no human team could process the output.

The result: 57,000 cells, 150 million synapses, 230 millimeters of blood vessels, compressed into 1.4 petabytes of raw data. For context, 1.4 petabytes is roughly 1.4 million gigabytes. From a speck smaller than a grain of rice.

Now scale that. The full human brain is one million times larger. Mapping the whole thing at this resolution would produce approximately 1.4 zettabytes of data. That’s roughly equal to all the data generated on Earth in a single year. The storage alone would cost an estimated $50 billion and require a 140-acre data center, which would make it the largest on the planet.

And they found things textbooks don’t contain. One neuron had over 5,000 connection points. Some axons had coiled themselves into tight whorls for completely unknown reasons. Pairs of cell clusters grew in mirror images of each other. Jeff Lichtman, the Harvard lead, said there’s “a chasm between what we already know and what we need to know.”

This is why the next step isn’t a human brain. It’s a mouse hippocampus, 10 cubic millimeters, over the next five years. Because even a mouse brain is 1,000x larger than what they just mapped, and the full mouse connectome is the proof of concept before anyone attempts the human one.

We’re building AI systems that loosely mimic neural networks while still unable to fully read the wiring diagram of a single cubic millimeter of the thing we’re trying to imitate. The original is 1.4 petabytes per millionth of its volume. Every AI model on Earth fits in a fraction of that.

The brain runs on 20 watts and fits in your skull. The data center required to merely describe one-millionth of it would span 140 acres.

[Elon Musk @elonmusk]

The Meaning of Life https://t.co/L9FaXIwU50

[ashutosh tripathi @ashutoshkps]

This needs urgent attention !
Like now now

[Matt Shumer @mattshumer_]

https://t.co/ivXRKXJvQg

[Elon Musk @elonmusk]

To the stars!

@SpaceX & @xAI are now one company

[3CX @3CX]

Hosted PBX solution with no per user pricing. We host, you manage and control - one low yearly fee. Save up to 80% with no lock-in. Managed hosting from leading data centers. No per user fees saving you thousands.

[David Sinclair @davidasinclair]

FDA greenlights Life Biosciences' human clinical trial on a "near total reset"
https://t.co/KvTsw9SVI1