Manu

Everyone is figuring out

[Manu @DisComBoBula8]

Pick any #leader , none of them were born with #leadershipskills or learnt #leadershipdevelopment , they only had will to chase #success

[🍂 @Lovandfear]

After you get married, you’re going to meet ‘better’ people than your spouse. You’re going to meet more good-looking people; kinder and more romantic people; more intelligent and funny people. You will meet people who have in abundance what your partner lacks. The mushy and romanticized idea that your partner will be everything to you, and will satisfy all your needs and wants is idolatry. Contentment in marriage is a virtue not often spoken about.

You must wake up every day appreciating everything your partner is to you, everything they have, their beauty and the things that made you marry them because if you focus on everything they don’t do well, you’ll always meet better people. Protect your heart! See their best part, and always remember that your commitment to marry is more of a duty than it is of mushy feelings. You have to stay committed even on the days you feel your spouse is no longer the best fit for you…

-Buchi

[Jaynit @jaynitx]

Elon Musk explains why being useful is the only career advice that matters

"I generally think to try to be as useful as possible. It may sound trite, but it's so hard to be useful, especially to a lot of people"

"The area under the curve of total utility is how useful have you been to your fellow human beings, times how many people. It's almost like the physics definition of true work. If you aspire to do true work, your probability of success is much higher"

"Don't aspire to glory, aspire to work"

[ludoonchart @ludoonchart]

Warren Buffett: "when people start believing something crazy, you get a collapse - 50 million families owned homes on margin, thinking prices could only go up"

"fear is instantaneous, while confidence comes back one person at a time no matter how sophisticated people are, when they get terrified, they lose all logic"

"when Dick Fuld complained that short sellers were killing Lehman Brothers, I got suspicious - short sellers can't hurt you if your business is financially sound"

"when the entire world wants to deleverage at the same time, there is only one party that can leverage up to save the system, and that is the government"

watch him recount his emergency calls with Wall Street CEOs in September 2008, why he called it an economic Pearl Harbor, and the timeless lessons of market panics

bookmark and watch the full video

[Dustin @r0ck3t23]

Jamie Dimon just described the real race nobody’s talking about. Not AI vs AI. Intelligence vs the systems built to suppress it.

Dimon: “Bureaucracy kills. Bureaucracy drives out good people, it drives out innovation, it makes the person in the office next to you a competitor and not a collaborator.”

We’re spending trillions building artificial intelligence while running every major institution on a system designed to make human intelligence useless.

AI accelerates capability. Bureaucracy neutralizes it.

Both are operating systems. Only one is being disrupted.

Dimon: “If you look at the companies who failed, it was because they were dumb, bureaucratic, backward, and political.”

88% of the 1955 Fortune 500 is gone.

Not disrupted from outside. Suffocated from within.

Every one of them had the talent. Had the ideas. Had the resources.

Every one of them had a system that buried those ideas in an approval chain before reaching daylight.

Dimon: “It creates politics, and if you look at what’s killed companies over the years, it was bureaucracy.”

The smartest people in a bureaucracy learn one lesson before any other.

Your best idea is worth less than your ability to get it approved.

So they stop producing ideas. Not because they ran out.

Because the return on having one went negative.

Every hour spent navigating an approval chain is an hour someone without that chain spent building.

Every builder who left because the system punished execution is now building for someone who rewards it.

Bureaucracy doesn’t just lose talent. It funds its own competition with the people it drove out.

Now scale that to government.

The largest institution on Earth. The deepest talent pipeline. The greatest structural advantage of any organization in history.

Running the one operating system proven to neutralize all of it.

The trillion-dollar question isn’t whether AI will be smarter than humans.

It’s whether institutions will let humans be smart enough to use it.

We spent decades worrying AI would replace our ability to think.

We never noticed the org chart already did.

We built machines that think at the speed of light inside systems that move at the speed of permission.

The bottleneck was never intelligence.

It was the system we built around it.

[Sunil Gurjar, CFTe @sunilgurjar01]

🚨 INDIA'S MOST EXPENSIVE SCHOOLS 🤯

Everyone thinks it's the Ambani school. It isn't. 👇

1️⃣ Woodstock School — Mussoorie
💰 Avg Annual Fees: ₹18 L – ₹30.9 L

2️⃣ Ecole Mondiale World School — Mumbai
💰 Avg Annual Fees: ₹10 L – ₹19.5 L

3️⃣ Good Shepherd International — Ooty
💰 Avg Annual Fees: ₹6.5 L – ₹19.5 L

4️⃣ Stonehill International School — Bengaluru
💰 Avg Annual Fees: ₹12 L – ₹18 L

5️⃣ The Doon School — Dehradun
💰 Avg Annual Fees: ₹13 L – ₹17 L

6️⃣ The Scindia School — Gwalior Fort
💰 Avg Annual Fees: ₹13 L – ₹17 L

7️⃣ Mahindra International School — Pune
💰 Avg Annual Fees: ₹10 L – ₹15 L

8️⃣ Mayo College — Ajmer
💰 Avg Annual Fees: ₹6.5 L – ₹13 L

9️⃣ Dhirubhai Ambani International — Mumbai
💰 Avg Annual Fees: ₹1.7 L – ₹11.5 L

🔟 Welham Girls' School — Dehradun
💰 Avg Annual Fees: ₹6 L – ₹8 L

[Manu @DisComBoBula8]

@quantam00 @AllAbout90sLife Lance klusener

[Race 🕊️ @multiplanet1]

Elon Musk was asked by a room full of Stanford students what single trait separates people who change the world from people who don't. Everyone expected him to say intelligence. Or work ethic. Or vision.

He said pain tolerance.

The room wasn't sure if he was joking. He wasn't. He explained that intelligence is common. Ambition is common. Even good ideas are relatively common. What is genuinely rare is the ability to absorb punishment day after day, year after year, and keep building anyway.

He said most people he's met who are smarter than him quit after the first real failure. Not because they weren't talented. Because the pain of failure exceeded their tolerance for it. They found something easier and redirected their intelligence there.

He said the entire history of SpaceX is just a story about absorbing explosions, literally and financially, and refusing to interpret them as signals to stop.

Nobody writes that on a motivational poster. Nobody puts "pain tolerance" on their LinkedIn profile. But it's the actual filter. Not who can dream the biggest. Who can bleed the longest.

[🇺🇸 Bull Moose American 🇺🇸 @BullMooseMemes]

You’re a fucking man.

Get the hell out of that depressing shitbox you call a room.

Stop hiding like a weak little bitch. Pack the bare minimum, throw on some clothes that don’t smell like defeat, and move your ass.

Hit the library. The park. A 24-hour gym. Drive out to the fucking beach or crash at a buddy’s place for the night. Book a cheap cabin in the woods. Hop on a train to the next town over.

Go ANYWHERE. Just get the fuck out of that room and stop rotting away like a pathetic ghost in your own life.​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​​

Man up, learn how to live with yourself instead of being a pathetic loser.

[The Shift Journal @TheShiftJournal]

Word for the year

[Nihal Shetty @Shetty_nhl]

Hits hard.

[Gabbar @GabbbarSingh]

Govinda predicted ChatGPT long back in Raja Babu (1994)

[Gabbar @GabbbarSingh]

One of the best marketing hacks from India is Garment shops giving out calendars with the pictures of Hindu deities. Once it has been put up on the wall, it rarely gets taken off. The shops plug their names at the bottom, and it stays for years.

PS: The calendar here is of 2020

[Ronit Pereira @CAronitpereira]

“Attack life, it’s going to kill you anyway.”

- Steve McQueen

[Adam Shuaib @adamshuaib]

Across 5000+ founder meetings, the rarest success trait we saw was pathological determination (<1% of founders). These individuals have a borderline-delusional ability to run through any wall and don’t have an off-switch. It’s not easy to screen for and most investors don’t ask the right questions to uncover it.

We have 12 proxy signals that we use to measure determination, such as a desperate desire to prove someone/something wrong, multiple previous failed businesses, early-life adversity and irrational optimism when most others would quit.

Our findings showed that founders with a high determination index were much more likely to build bigger companies, even if it took them longer. Determination wasn’t correlated with confidence or charisma; the most determined founders were more introverted and did not light up rooms. Most investors incorrectly ignore the power of persistence.

[Path of Men @PathOfMen_]

the guy who makes shit happen, invites people, talks to strangers like old friends, takes risks, grins through chaos because he knows it works out either way. he's not smarter than you. he just acts instead of overthinking. that's it. that's the whole secret everyone's looking for.

[Akshay Shinde @ConsciousRide]

90% of AI Engineering interviews in 2026 come down to these 7 points.

1. LLM Fundamentals: tokenization, transformers & attention, fine-tuning (LoRA/QLoRA), context management, model selection

2. RAG Systems: chunking strategies, embeddings, vector databases, retrieval & reranking, hallucination mitigation

3. Agentic Workflows: tool calling & function calling, ReAct/Plan-Execute patterns, memory & state, multi-agent orchestration

4. Inference Optimization: quantization (AWQ/GGUF), serving engines (vLLM/TGI), batching & KV cache, latency vs cost tradeoffs

5. Evaluation & Observability: LLM-as-judge evals, custom metrics, A/B testing, drift detection, prompt/response logging

6. MLOps Pipelines: experiment tracking, model versioning & registries, CI/CD for AI, data pipelines, deployment automation

7. Production Realities: safety guardrails & prompt injection, scaling inference, cost optimization, debugging failures, compliance & reliability

[How To Prompt @HowToPrompt__]

Researchers show that Claude Code is 98% not AI.

Anthropic never gave us the architecture for Claude Code. There were no docs. Just a tool that every developer is currently obsessing over.

Until it leaked recently.

A research team pulled the source code, analyzed all 500,000 lines, and found something ridiculous.

Only 1.6% of the codebase actually interacts with the AI model.

The core of Claude Code is literally just a simple while-loop. It asks the model what to do, runs a tool, and repeats.

So what is the other 98.4%?

It is hardcore, traditional software engineering.

The researchers found a massive, complex infrastructure designed entirely to babysit the AI and keep it from hallucinating or destroying your computer:

- A 7-mode permission system acting as a security bouncer.
- A 5-layer context compaction pipeline so the AI doesn't forget its goal.
- A subagent delegation mechanism with strict worktree isolation.
- Four different extensibility hooks to manage external tools safely.

Every startup right now is trying to build a better AI model to get better results.

Anthropic did the exact opposite.

They took an existing model and built a fortress of deterministic software around it.

They realized that the AI doesn't need to be smarter. It needs to be managed.

[Jaynit @jaynitx]

Elon Musk explains his 5-step algorithm for solving any problem:

"The most common mistake of smart engineers is to optimize a thing that should not exist."

"I have this very basic first principles algorithm that I run as a mantra."

Elon breaks it down:

Step 1: Question the requirements.

"Make the requirements less dumb. The requirements are always dumb to some degree, no matter how smart the person who gave you those requirements. You have to start there, because otherwise you could get the perfect answer to the wrong question."

Step 2: Try to delete it.

"Try to delete the part or the process step entirely. If you're not forced to put back at least 10% of what you delete, you're not deleting enough. Most people feel like they've succeeded if they haven't been forced to put things back in. But actually they haven't, they've been overly conservative and left things in that shouldn't be there."

Step 3: Optimize or simplify.

"The most common mistake of smart engineers is to optimize a thing that should not exist. So you don't optimize until after you've tried to delete."

Step 4: Speed it up.

"Any given thing can be done faster than you think. But you shouldn't speed things up until you've tried to delete it and optimize it otherwise, you're speeding up something that shouldn't exist."

Step 5: Automate.

"And then the fifth thing is to automate it."

Elon explains why the order matters:

"I've gone backwards so many times where I've automated something, sped it up, simplified it, and then deleted it. I got tired of doing that. So that's why I have this mantra."

[Tim Denning @Tim_Denning]

Obsess. For f*ck sakes. You only get one life. Don’t screw it up by being normal. Go all in. Act like a psycho. Let people call you insane. Please. I beg you. Obsession is the path.