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Don't waste 2 years learning to become an AI agentic engineer in 2026.
Andrew Ng, the godfather of AI, gave the complete playbook to become one from scratch.
1 hour course. Free:
• 00:00 - AI agent basics
• 12:12 - AI Agentic workflows & design patterns
• 53:27 - Practical tips for building AI agents
• 1:20:30 - self-improving AI agent loops
• 1:30:19 - multi-agent AI systems
I watched it last night.
Halfway through, I realized I could get into Anthropic in weeks, not years.
Bookmark now. Watch it. Then build your own AI agent
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🚨Leave Netflix tonight.
Watch this 2 h 34 min Stanford class.
It's the clearest, most complete, and brutally honest explanation out there on how ChatGPT and Claude are really built.
From Tokenization and BPE to the Transformer architecture, the training pipeline, and the next-token decoder. No fluff. No marketing. Just the truth.
Doesn't matter if you've never touched a line of AI code or if you spend your days launching Agents: by the end, you'll suddenly connect a ton of pieces you've been trying to fit together for years.
The real core boils down to this:
How text turns into numbers the model can "eat" (BPE tokenization)
The sole mission of a language model: predict the next token
How the Transformer uses Attention so tokens can pass messages to each other
In training, the NLL loss pushes the probability of the entire sequence
In generation, the decoder builds the response token by token
The big-picture view that takes most people years to form… this class delivers it to you complete in one sitting.
Free up your time.
This could be, no exaggeration, the most valuable class you watch this month.
Star retweeted
You can smell a masturbation addict from a mile away they all leak the same red flags.
The first sign is:
Star retweeted
Don't waste 2 years learning to become an AI agentic engineer in 2026.
Andrew Ng, the godfather of AI, gave the complete playbook to become one from scratch.
1 hour course. Free:
• 00:00 - AI agent basics
• 12:12 - AI Agentic workflows & design patterns
• 53:27 - Practical tips for building AI agents
• 1:20:30 - self-improving AI agent loops
• 1:30:19 - multi-agent AI systems
I watched it last night.
Halfway through, I realized I could get into Anthropic in weeks, not years.
Bookmark now. Watch it. Then build your own AI agent
Star retweeted
Bloodiest dictators in history
[🎞️Gravity]
Readers added context they thought people might want to know
Tomás de Torquemada was Grand Inquisitor of the Spanish Inquisition and about 2,000 people were burned at the stake during his tenure, not 15,000. Britannica notes higher death tolls were exaggerated by Protestant critics of the Inquisition. britannica.com/topic/Spanish-…
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To be happy, you must eliminate two things: the fear of a bad future and the memory of a bad past.
- Seneca
Seneca (4 BC–65 AD), the Roman Stoic philosopher and advisor to Emperor Nero, believed that much of human suffering is self-inflicted.
In Letters to Lucilius, he wrote, “we suffer more often in imagination than in reality,” suggesting that fear of future misfortune often causes more distress than the misfortune itself. To Seneca, anxiety over what might happen reflected a failure to accept fate and the natural order. The Stoics taught that events beyond our control should be met with calm and reason. What matters is not always what happens, but how we choose to respond.
Seneca also warned against becoming prisoners of the past. In On the Shortness of Life, he argued that people waste their limited time by dwelling on what has already happened or constantly worrying about what comes next. The past is fixed and beyond our control, and repeatedly reliving it through regret or resentment only takes us further away from the present.
This did not mean forgetting the past or abandoning plans for the future. Rather, Seneca believed that becoming emotionally trapped by past suffering or future fears robs us of tranquility. His philosophy emphasized living according to reason, accepting mortality, and recognizing time as our most valuable possession.
For Seneca, freedom from fear and regret was not indifference. It was the ability to master our thoughts, focus on the present, and remain in control of our response to whatever life brings.
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This guy literally explained why some people become successful while other stay average.
The reason is uncomfortable. Game Theory
Watch this:
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Srinivasan Chandrasekaran, IIT Madras professor:
"Bridgewater pays a risk manager $650,000 a year to answer one question: what is the exact probability this blows up. that is the same question this professor answers to keep billion dollar oil rigs from collapsing in a storm, and he teaches the math for free"
this free lecture is the risk model under every fund that has survived more than one crash.
strip away the upside talk and one number decides everything. not how much you can make, but the odds the whole thing fails.
an oil rig and a trading account die the same way: one rare load bigger than anything you planned for. reliability is the math that sizes your safety margin so that day does not end you.
Chandrasekaran builds it from zero, on a blackboard, in notation a beginner can follow. failure modes, safety factors, and the probability of ruin.
Wall Street rents this out as a $650,000 skill. an IIT professor hands you the math of not blowing up for free.
Star retweeted
Over a decade ago, a physicist in Chennai explained why nothing is ever certain until it happens, and it is the exact rule every prediction market runs on today.
NPTEL filmed it. it has been free ever since. 477,000 people have watched it, almost none of them trade.
her point: a quantum system is not one outcome, it is every outcome at once, each carrying a probability, until something forces it to pick. that is a live market. every price is a cloud of maybes waiting to collapse into yes or no.
no trading desk, no terminal. a woman at a green board in Chennai teaching the deepest idea we have about uncertainty.
skip to the board in the first ten minutes. she takes a particle sitting in two states at once and shows why you can only ever know the odds, never the answer, in notation a beginner can follow.
no slides. no app. one green board and a piece of chalk.
a quant i know watched it twice and said it explained his own book better than any finance lecture ever did.
I put the practical aspects of this lecture into practice and developed a strategy that generates income, the results surprised me.
25 days.
$100 → $22,300.
73% win rate.
Sharpe 2.45.
I'm giving away the full configuration of my bot for free. 24 hours only.
Here's how:
>Comment "SEND"
>Like and Follow me
I'll send the complete setup in your DMs.
Star retweeted
The concept of karma holds no substance in the real world. It only hits you if you feel guilty about it.
In nature, nothing is wrong and nothing is right. Morals, values and ethics are human constructs to bring order to society.
Nature doesn't care. It didn't care when dinosaurs were wiped out. It didn't care when tsunamis came; they are just phenomena.
Mu*der is morally categorised as wrong by humans, but nature doesn't care. Only after our cognitive abilities developed did we care.
Take a lion: if it doesn't kill, it dies of hunger. Will karma come back today and make it die? No. In nature it is a neutral act – nothing wrong, nothing right.
Why do bad people always enjoy the best lives? Because they never considered their acts morally wrong.
If it is not inside your head, the concept of karma holds no value.
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“Study microeconomics, game theory, psychology, persuasion, ethics, mathematics, and computers.”
— Naval Ravikant
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Mrityunjoy Chakraborty, IIT Kharagpur professor:
"every hedge fund, every trading bot, every bet you have ever made obeys three rules. Citadel pays $500,000 to people who truly understand them. this professor writes all three on a blackboard for free"
these are the axioms of probability, the ground rules sitting under all of it.
three simple statements. a probability is never negative. something is certain to happen. separate outcomes add up. that is the entire foundation.
get comfortable with these three and every model in finance becomes readable. skip them and you are just guessing with extra steps.
Chakraborty proves them from zero, slowly, in notation anyone can follow.
Wall Street rents you these rules for half a million a year. an IIT professor hands you the deed for nothing.
Mrityunjoy Chakraborty, IIT Kharagpur professor:
"Jane Street pays a 22 year old $500,000 a year for one skill: turning uncertainty into a number you can bet on. that number is the first thing this professor teaches, and it is free"
this free lecture is the foundation every quant bot and hedge fund model is secretly built on.
before the AI, before the strategy, there is one question. what is the chance this happens, exactly.
get that number right and every bet after it is just math. get it wrong and no model, no bot, no amount of compute can save you.
Chakraborty builds probability from the axioms up, on a blackboard, in notation a 15 year old can follow.
Wall Street sells this as a $500,000 edge. an IIT professor hands you the source code for nothing.