Ram Singh Verma

A Stanford professor took two average stocks, rebalanced them daily, and turned $100,000 into $7 million without predicting a single price. Bookmark & watch today, no matter what.

INSTEAD OF WATCHING NETFLIX TONIGHT. Spend 2 hours with this. Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything. The people who watch this tonight will wake up tomorrow with a new skill. Watch it and bookmark it now.

A Claude engineer earning hundreds of thousands of dollars in salary has explained how to write prompts properly, like he's talking to an idiot. I didn't even see the stuff covered in the first 10 minutes in the courses It cost is $300 to watch :D Free I'd say give it a look

This is f*cking insane. Anthropic engineer: "You're not supposed to prompt Opus 5.5 You're supposed to build a system that prompts itself. At Anthropic, 90% of our engineers have already built these systems" In 30 minutes, she walks through exactly how Anthropic builds agents that remember, fix their own mistakes and get sharper with every run. Better than any $1000-$2000 agent course I've seen. Watch it, then read the article below ↓

BREAKING NEWS! The engineer who built Claude Code from scratch just released a 28-minute video that's pure gold: how to write prompts that deliver ridiculously good results. I've seen $300 courses that don't even come close to what he explains in the first 10 minutes. CLAUDE.md files, memory shortcuts, parallel sessions, and prompting patterns that almost no one uses..

Claude FULL COURSE 1 HOUR (Build & Automate Anything)

Andrej Karpathy’s 1-hour Stanford lecture on AI engineering is one of the best explanations I’ve seen of how AI systems actually work. The progression is simple: 10% - LLM 30% - Prompt 50% - Agent 70% - Loop 100% - Graph The key takeaway: AI engineering isn’t just about writing better prompts. It’s about building systems around models, giving them context, memory, tools, feedback loops, and data flows. “Delete everything, keep Graph.” Definitely worth watching if you’re building with AI agents. Watch and Bookmark it.

Elon Musk runs a 5-step first-principles algorithm for any problem: first, question and fix dumb requirements; second, delete any part or step you can (if you're not adding back 10%, you didn't cut enough); third, simplify and optimize what remains. Only then do you speed it up, and finally automate it. The order is critical : "the most common mistake of smart engineers is to optimize a thing that should not exist," so never optimize, accelerate, or automate something before trying to delete it. Watch this video fully to understand it more

When Steve Jobs pulls a MacBook Air out of an envelope & made marketing history.

Current AI Race

A friend of mine earns $1.2M a year as an Anthropic engineer. I asked him how he mastered prompting. His answer? A video that was never supposed to be public: Anthropic’s internal prompting playbook. It’s one of the most valuable 30-minute guides to prompting you’ll find. I watched it last night and realized I’d been using Claude the wrong way for two straight years. Watch it. Bookmark it.

Andrej Karpathy’s 1-hour Stanford lecture on AI engineering is one of the best explanations I’ve seen of how AI systems actually work. The progression is simple: 10% → LLM 30% → Prompt 50% → Agent 70% → Loop 100% → Graph The key takeaway: AI engineering isn’t just about writing better prompts. It’s about building systems around models — giving them context, memory, tools, feedback loops, and data flows. “Delete everything, keep Graph.” Definitely worth watching if you’re building with AI agents. Watch → Bookmark it

INSTEAD OF WATCHING NETFLIX TONIGHT. Spend 2 hours with this. Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything. The people who watch this tonight will wake up tomorrow with a new skill. Watch it and bookmark it now.

Sam Altman (CEO of OpenAI): "You no longer need to write prompts." In just 38 minutes, he explains how to use ChatGPT at a level that most people can't even imagine. It's a talk he gave to Stanford students. A friend sent me the recording last night. After watching it, I realized I was only taking advantage of about 15% of what this tool can really do. Watch it in full and then follow me for more such insightful content