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Happy 4th Bitcoin Halving 🔥

This Day in Crypto: The first #bitcoin transaction in history. On Jan. 12, 2009, Bitcoin creator Satoshi Nakamoto sent 10 BTC to Hal Finney, an early Bitcoin developer, showing bitcoin’s potential as a tangible medium of exchange. Start your bitcoin journey here: https://lnkd.in/eq7c6htP

More crypto news: Circle Internet Financial, issuer of USDC stablecoin, files for an IPO! A bold move bringing legitimacy to the #crypto world. 🔍 With a confidential draft submitted to the SEC, Circle's step towards public trading marks a significant milestone for crypto transparency and credibility. 🌟 USDC's market cap stands at $25 billion, highlighting the growing importance of stablecoins in the financial landscape. 📊 Following Coinbase's public debut in 2021, Circle's move is another major stride in bridging traditional finance with the innovative Web3 space. I see this as a positive thing for the industry and am excited to watch how thing progress. #ipo #stablecoins #blockchain https://lnkd.in/gxHn5uvM

This is unlike anything we've ever seen in human history. Glad I was on the side of innovation! #blockchain #blockchaintechnology #crypto

📈 $AITECH Rockets to New ALL TIME HIGH! 🚀 $AITECH reaches an ATH of $0.076 approximating to a 500% increase in price since the start of 2024. 💹 Buy $AITECH & Stake to Get a Tier Now: https://lnkd.in/ddDKRArb

History Doesn’t Repeat Itself, but It Often Rhymes. 🚀 Epic bull market is coming soon - onwards and upwards! Ht / Szabo Tamas #bitcoin #crypto #web3 #etf #bullmarket Follow 👉 Anton Golub & share ♻️ with your network *Not financial advice.

Binance - Navigating Crypto: Industry Map Source: https://lnkd.in/gMrnpXJx #crypto #industry #cryptoasset #map #vertical Credits: Jin Ming Neo Highlights: The Industry Map provides an overview of the crypto ecosystem. In this report, we break down different verticals into subcategories, and lay out a few projects in each of them. In this iteration of the Industry Map, we covered seven verticals - Infrastructure; DeFi; NFTs; Gaming; DePIN; Bitcoin Ordinals; Zero-Knowledge. Infrastructure: We looked at projects in the areas of Scalability and Fairness; Data Usability and Tooling; Security and Privacy; Cloud Networks; Connectivity. DeFi: We looked at projects in the areas of Issuance; Liquidity; Trading; Risk Management. NFTs: We looked at projects in the areas of Marketplace; Financialization; Services. Gaming: We looked at projects in the areas of Games; Game Development; Player Experience; Analytics. DePIN: We looked at projects in the areas of Compute Networks; Decentralized Wireless Networks; Storage Networks; Sensor Networks. Bitcoin Ordinals: We looked at projects in the areas of NFTs; DeFi; Tooling. Zero-Knowledge: We looked at projects in the areas of Infrastructure; Consumer Stack; Financial Services.

#payments | #stablecoins | #security : Understanding Stablecoin Technology and Related Security Considerations. Stablecoins are #cryptocurrencies whose price is pegged to that of another asset (typically one with low price volatility). The market for stablecoins has grown tremendously – up to almost $200 billion USD in 2022. These coins are being used extensively in newly developing paradigms for #digitalmoney and #commerce as well as for decentralized finance technology. This paper provides a technical description of stablecoin technology to enable reader understanding of the variety of ways in which stablecoins are architected and implemented. This includes a descriptive definition, commonly found properties, and distinguishing characteristics, as well as an exploration of stablecoin taxonomies, descriptions of the most common types, and examples from a list of top stablecoins by market capitalization. This document also explores related security, stability, and trust issues with an analysis conducted from a computer science and information technology security perspective as opposed to the financial analysis and economics focus of much of the stablecoin literature.

#ai | #artificialintelligence | #llms : JPMorgan introduces DocLLM, a groundbreaking layout-aware generative language model designed for multimodal document understanding. 🌐✨ #enterprise #documents , encompassing forms, #invoices , receipts, reports, contracts, and more, often pose challenges in extracting rich semantics at the crossroads of textual and spatial modalities. DocLLM addresses this complexity by presenting a lightweight extension to traditional large language models (LLMs). Unlike existing multimodal models, DocLLM avoids costly image encoders and places exclusive emphasis on bounding box information to capture spatial layout structures effectively. 🔍 Key Features: Cross-Alignment: DocLLM employs a unique approach to capture cross-alignment between text and spatial modalities by disentangling matrices in the attention mechanism of classical transformers. Pre-Training Objective: The model introduces a pre-training objective to learn the infilling of text segments, enabling it to handle irregular layouts and diverse content often found in visual documents. 📈 Performance Highlights: Outperforms State-of-the-Art (SotA) large language models on 14 out of 16 datasets across all tasks. Demonstrates robust generalization to 4 out of 5 previously unseen datasets. This #innovative model marks a significant leap forward in document intelligence, showcasing JPMorgan's commitment to pushing the boundaries of technology. 🌐💡 #DocumentUnderstanding #AIInnovation #JPMorganTech #MultimodalAI