squarecreator

Strategy (anteriormente MicroStrategy) es una empresa pública estadounidense (cotiza en el índice Nasdaq bajo el símbolo MSTR) conocida principalmente por ser el mayor inversor corporativo de $BTC del mundo. Fundada en 1989 y dirigida por Michael Saylor como Presidente Ejecutivo, la compañía pivotó de su negocio original de software de inteligencia artificial y análisis de datos (AI+BI) para convertirse en una "empresa de tesorería de Bitcoin".
Monto y Precio: Vendieron exactamente 32 Bitcoins a un precio promedio de $77,135 dólares por moneda, recaudando cerca de $2.5 millones de dólares.
#squarecreator #MasaFinance

Alot of AI projects in crypto are getting attention rn, but honestly most of them still feel very surface-level.
Usually it’s:
- a chatbot
- a dashboard
- some AI branding
- and alot of marketing
But the deeper infrastructure side of AI in crypto feels way more interesting to me.
Because if AI agents actually become useful later, they’ll need real systems underneath:
- on-chain execution
- automation
- liquidity access
- cross-chain connectivity
- reliable infrastructure layers
That’s partly why @OpenLedger started catching my attention recently.
At first I thought updates like OctoClaw, Trading Agents, #ERC4626 integration and EVM Bridge were all seperate things. But after following the ecosystem more closely, it started feeling like they’re building different parts of a larger long-term infrastructure stack.
Especially the Trading Agent narrative.
I think autonomous finance could become much bigger than people realize later on. Imagine AI systems eventually helping users:
- optimize yield
- manage positions
- automate execution
- monitor risks
- interact across chains
without needing constant manual actions everyday.
If crypto moves toward that direction, infrastructure projects may actually end up capturing more value than the “AI wrapper” layer most people focus on rn.
Another thing I noticed is @OpenLedger seems more focused on builders and ecosystem development compared to alot of projects only chasing short term hype. Even the vibecoding/dev related updates point more toward long-term utility and infrastructure building.
Of course its still early and there’s still risk like every crypto project. But compared to many AI narratives rn, this atleast feels connected to real utility instead of temporary engagement farming.
Maybe the biggest AI opportunity in crypto wont be the loudest projects.
Maybe it’ll be the infrastructure quietly powering everything underneath 👀
#OpenLedger #OctoClaw $OPEN #squarecreator

It is an EVM-compatible Layer-1 blockchain purpose-built to act as the decentralized data and infrastructure layer for Artificial Intelligence (AI).
​Instead of allowing giant tech corporations to scrape internet data, train models, and capture 100% of the profits, OpenLedger is building a decentralized AI economy where data contributors, developers, and node operators are directly credited and rewarded.
​🛠️ The Core Technology Stack
​OpenLedger operates using three foundational, community-driven pillars to manage the lifecycle of artificial intelligence:
​Datanets: These are specialized, community-curated data collaboration networks. Instead of feeding an AI generic internet garbage, Datanets focus on niche, high-quality data (e.g., specific medical records, cybersecurity threat patterns, or translation linguistics) to build hyper-accurate AI models.
​ModelFactory: A user-friendly, no-code platform that allows developers and companies to easily customize Large Language Models (LLMs) using the specialized information hosted on Datanets.
​OpenLoRA: A highly efficient deployment engine. In standard computing, running multiple custom AI models requires massive, expensive hardware. OpenLoRA manages GPU resources efficiently, allowing thousands of customized models to run simultaneously on minimal hardware, dramatically lowering costs.
@OpenLedger #OpenLedger $OPEN $BTC
#BinanceSquareFamily #squarecreator #Write2Earn #cryptouniverseofficial
$BNB