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Disclaimer: This website's sole mission is to explore, learn, and share. I DO NOT serve as a financial consultant. I only explore my curiosity and share my findings along the way. I am not being compensated for endorsing any cryptocurrencies, nor do I encourage our readers to invest in any particular cryptocurrency. These investment options might not be suitable for all investors. The content on this website includes my personal and speculative thoughts, opinions, hypotheses, charts, technical analysis (TA), insights, carefully chosen news sources, and price forecasts. The technical analysis provided on this website is entirely theoretical and DOES NOT GUARANTEE ANY PARTICULAR RESULT OR PROFIT. You should consult your financial advisor for advice.

Check out pejmantheory's about page

Howdy, I'm Pejman, based in Seattle. I build and deploy pipelines (CI/CD) to AWS using Python Django, XGBoost, and MySQL. In general, I enjoy developing open platforms that advance the daily lives of users and devs in ethical ways. I share ideas and observations about the potential link between Machine Learning, and the Stock Market. On 𝕏, you'll find me diving into everything from the nuts and bolts of AI and ML, to the exciting advances in Web3, not to mention tackling some of the major challenges our world is up against these days. As a software engineer and AI/ML enthusiast, I decided to leverage modern data science tools to help me make sense of investing. After 15 years in the Big Apple, I've recently moved to Seattle to continue pursuing a career in software engineering and launch my tech company. 


Languages: C-sharp, Python, C++, JavaScript, Ruby, CSS3

Frameworks: Node.js, Rails, Express.js, Sails.js, AngularJS, React.js

Libraries: D3.js, jQuery, Bootstrap, Foundation, Angular Material

Database Tools: PostgreSQL, MongoDB, Sequelize, Waterline

Other: AJAX, Heroku, Git/Github, JSON, REST, APIs, Bcrypt Gulp

Interests - Audio & Speech Machine Learning, Natural language processing, AGI, XGBoost, Large Language Models, warp drives, Nuclear Energy, A Dyson Swarm, The Kardashev Scale, The holographic principle, Augment Reality, biohacking, gaming, Mechs, reading, writing, gardening, and the Ocean.

Passionately curious, minimalist. I play Basketball, MTB, and Snowboarding.

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The Worlds I See

Dr. Fei-Fei Li 

Curiosity, Exploration, and Discovery at the Dawn of AI

Fei-Fei Li was the first computer vision researcher to truly understand the power of big data and her work opened the floodgates for deep learning. She delivers a clear-eyed account of the awesome potential and danger of Al. 

"The Worlds I See" feels like a heart-to-heart with a top AI scientist who's seen the ins and outs of the field. It's like a backstage pass to the early, heady days of AI, where everything was fresh and exciting. But it's not just a tech talk; it's also about the personal growth of the scientist themselves, how they started out, and the ups and downs along the way. Imagine sitting down with a friend who's really into AI, and they're spilling all the details about their life and the crazy, brainy world of artificial intelligence they live in. It's a book that tries to show that at the core of even the geekiest subjects, there's a human story, a bunch of dreams, and a whole lot of curiosity.



Chip War is an epic account of the decades long battle to control what has emerged as the world’s most critical resource microchip technology with the United States and China increasingly in conflict. Many would be surprised to learn that microchips are the new oil the scarce resource on which the modern world depends. Today, military, economic, and geopolitical power are built on a foundation of computer chips. Virtually everything from missiles to microwaves, smartphones to the stock market, runs on semiconductors. Now, as Chip War reveals, China, which spends more money importing chips than any other product, is pouring billions into a chip-building initiative to catch the US’s lead. At stake is not only America’s economic prosperity but also its military superiority. Right now the US is trying to cut off China’s ability to make advanced semiconductors, on the judgment that advanced semiconductors are critical to training AI systems. If you can’t get access to the most advanced chips, then you can’t make meaningful advances in AI. To make an advanced semiconductor, you need to buy machine tools from just a handful of companies around the world that have the precision capabilities to manufacture these tools. One of the most important of these companies is a firm called ASML, which is based in the Netherlands. It has unique capabilities which no one else in the world can replicate to produce a type of machine called an EUV lithography tool, without which making an advanced chip is simply impossible. 


The He-Man Effect​​

Enjoy Some Provocations

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