#btfd

🤦🏻

https://arxiv.org/pdf/2404.19109

The document from the provided URL, titled "The Shape of Money Laundering: Subgraph Representation Learning for Anti-Money Laundering," focuses on the application of advanced machine learning techniques to combat money laundering activities. Specifically, it explores the use of subgraph representation learning as a method to identify and analyze patterns indicative of money laundering within financial networks. This approach aims to enhance the detection capabilities of anti-money laundering (AML) systems by leveraging the structural information contained within financial transactions.

Subgraph representation learning is a technique that captures the complex relationships and interactions between entities in a network. By applying this method, the research aims to uncover hidden patterns and behaviors that are characteristic of money laundering schemes, which are often difficult to detect with traditional AML methods. The document likely discusses the theoretical framework, methodology, and potential applications of this approach in the context of AML efforts.

While the specific details of the experiments, results, and conclusions drawn in the document are not provided in the summary, it can be inferred that the research contributes to the ongoing efforts to strengthen financial systems against illicit activities through the innovative use of machine learning technologies[4].

Sources

[1] https://arxiv.org/pdf/2404.19109.pdf

[2] [PDF] 2024 National Money Laundering Risk Assessment (NMLRA) - Treasury https://home.treasury.gov/system/files/136/2024-National-Money-Laundering-Risk-Assessment.pdf

[3] Clustering and Dimensionality Reduction for Anti-Money Laundering https://arxiv.org/abs/2403.00777

[4] The Shape of Money Laundering: Subgraph Representation Learning ... https://arxiv.org/abs/2404.19109

[5] Our new research: Enhancing blockchain analytics through AI https://www.elliptic.co/blog/our-new-research-enhancing-blockchain-analytics-through-ai

[6] [PDF] Fighting Money Laundering with Statistics and Machine Learning https://arxiv.org/pdf/2201.04207.pdf

[7] [PDF] Clustering and Dimensionality Reduction for Anti-Money Launder https://arxiv.org/pdf/2403.00777.pdf

[8] [PDF] Anti-Money Laundering in Bitcoin: Experimenting with Graph ... - arXiv https://arxiv.org/pdf/1908.02591.pdf

H/T @danielpcostas 🙏🏼

Just used this guide last night thank you very much. My only issue was an error Message permission denied when trying to add the shortcut to the applications list.

Fresh #TailsOS install with latest #Electrum and #Sparrowwallet running. Will try to add #bitcoincore pruned. Here’s a great article on the adding Sparrow https://danielpcostas.dev/installing-sparrow-wallet-on-tailsos-persistently/

They throw shade, call it fad, a tulip bubble reborn,

But the hate just fuels the flame, keep that Bitcoin fire warm.

From digital gold to financial revolution's song,

Bitcoin's here to change the game, ain't goin' nowhere, it's strong.

They say it's MySpace for coins, a fleeting internet trend,

But Bitcoin's the open road, a global network to transcend.

Model-T? Nah, it's the future, a freeway for all to see,

A new element, digital, built on math's integrity.

More than money, it's a system, a social contract reborn,

Adapting, evolving, weathering every economic storm.

The haters yell the loudest, a sure sign of a threat,

Bitcoin's here to disrupt, a revolution you can't forget.

#plebchain #rap #bitcoin

Stolen from the bird #tiktok

💪

#derivationpath #samourai #wallet

This fucker doesn't want to confirm in testnet

🤣

Very cool. A little buggy on Chromium for me. Will keep playing with it.

Odell chose humbleness this morning. GM! #GFY

Where's the sauce Pennis Dorter?

I’m not saying you should, but it’s nice to know that you can

iPhone 15 with USB-C is a bit of a game changer for signing PBST using vdisk or sdcard #coldcard

Bitcoin mining is a competitive process where miners use computational power to produce new bitcoins. Every 10 minutes, a new block is mined, rewarding the miner with bitcoins, known as the block subsidy. This subsidy is halved approximately every four years or every 210,000 blocks, an event called the halving. Initially, each block rewarded 50 bitcoins, but the current reward is 6.25 bitcoins, and by 2140, it will decline to zero.

The halving affects Bitcoin's price as it reduces the supply of new bitcoins. If demand remains constant, the reduced supply from the halving could increase the price. However, the market has not always anticipated this event, leading to significant price increases post-halving. Miners, who are often forced to sell their bitcoins to cover operational costs, exert downward pressure on the price. The halving reduces this pressure, potentially causing a price rise if demand stays the same.

Historically, halvings trigger hype cycles in Bitcoin's market, leading to price surges and eventual crashes as the market seeks equilibrium. The supply of tradeable bitcoins decreases over time, shifting to long-term holders, which can drive up the price. The unpredictability of the size and investment willingness of new market participants during a hype cycle makes it challenging to price in halvings. Additionally, complex feedback loops in Bitcoin's monetization process add to the difficulty of predicting price movements related to halvings. #plebchain

Double dare ya #consolidate

Stack harder #plebchain

Empty block #839870

https://mempool.space/block/0000000000000000000112c80ada778f3a63ca9e270ed546a6470904f0c58136