The detail worth noting is the new wallet. When a whale creates a fresh address before withdrawing at this scale, cold storage is the most common explanation – though large OTC desk settlements can produce similar on-chain patterns.
Either way, ETH leaving exchanges in this volume reduces the liquid supply available for trading, and that shift in sell-side pressure tends to matter more than it looks in the moment.
The Company Trying to Own 5% of All Ethereum
BitMine Immersion Technologies, the largest corporate holder of Ethereum in the world, just recorded its biggest weekly token acquisition of 2026 – 60,976 ETH – bringing its total holdings to 4.535 million tokens, approximately 3.76% of the entire Ethereum supply.
The company currently holds $1.2 billion in cash with plans to keep deploying, and has over 3 million ETH already staked at roughly $6 billion in value. Its total assets have reached $10.3 billion. The stated goal is to reach 5% of all ETH in existence, an ambition the company has branded the “Alchemy of 5%.”
Things move fast in the AI world, and we recently got a few new AI models to play with from OpenAI, Google, and Anthropic. I want to test what these models are capable of for one of the most common design tasks: landing page design.
In this article, I will submit the same prompt describing a landing page for a food delivery service to all 3 AI models and compare the results they generate.
Prompt Format
The prompt I will use has a simple, yet, very effective structure:
Task description (“build a landing page for
Goal we want to achieve with this design (this helps create a better context for AI models)
Technical stack and coding requirements (this helps create something we can integrate in our ecosystem without too many problems along the way).
Style direction (helps guide AI to a certain visual style)
Structure (outline of the page’s structural elements and content)
Deliverables (what I expect to see as an output generated by AI)
