Latest Posts
Michael Saylor’s Strategy Breaks Its Own Bitcoin Rule to Survive
Strategy's announcement of a $1.25 billion bitcoin monetization program — authorizing bitcoin sales Michael Saylor once called unthinkable — marks the first major stress test of the corporate bitcoin treasury model at scale. The collapse of Strategy's mNAV below 1 and its preferred shares to record lows reveals the structural vulnerabilities that leverage and fixed dividend obligations create when the underlying asset falls sharply.
Blockchain News
Trump Made $1 Billion From Crypto While Bitcoin Lost Half Its Value
Trump's family earned over $1 billion from crypto last year — while Bitcoin has lost more than 50% from its all-time high, erasing every gain made since his election. The gap between presidential profits and retail losses is reshaping how the industry's Washington strategy is being judged.
Trump’s Financial Disclosure Reveals Over $1 Billion in Crypto Earnings
President Trump's financial disclosure reveals more than $1 billion in Trump crypto earnings, including $635 million in royalties from the $TRUMP meme coin launched days before his inauguration. The filing represents an analytically unprecedented intersection of presidential financial interest and federal crypto regulatory authority.
AI News
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Elon Musk’s DOGE Uses AI to Process Sensitive Government Data
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DeepSeek's impact on the US AI Market
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Is a Crypto Correction Inevitable ??
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Coinbase and Goldman Sachs alum launch TrueX
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Trump’s new crypto venture is vague but full of ethical issues
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California passes AI laws to stop election deepfakes
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AI Regulation Is Simpler Than You May Imagine
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FBI says Crypto-related fraud jumped by 45% last year
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Conversations with AI can dispel conspiracies
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Trump plans to launch his sons’ crypto business
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AI DIY
TinyML Project: Build a Smart Motion Detection Device
Build your first TinyML project: a real-time Smart Motion Detection System on an Arduino Nano 33 BLE Sense. This practical playbook covers the full pipeline — data collection, model training in Google Colab, TensorFlow Lite quantization, and on-device deployment — so you can run edge AI inference with no cloud dependency.
