Uncategorized

Crypto’s Legal Makeover: GENIUS and the Rise of Regulated Stablecoins

What Is the GENIUS Act?

Blockchain & AI Forum — June 2025
By Yogi Nelson


Welcome to the Blockchain & AI Forum, where your questions are answered!
As a bonus, every post includes a proverb from around the world.

Today’s question comes from Latasha, who asks: What is the GENIUS Act?


🔍 Overview

The GENIUS Act has been approved by the U.S. Senate! It was introduced by Senator Bill Hagerty of Tennessee, your home state. As expected, GENIUS is an acronym:
“Guiding and Establishing National Innovation for U.S. Stablecoins, 2025.”

Let’s walk through what this bill says—section by section—and what it could mean for stablecoin issuers, regulators, and the future of U.S. digital finance.


📘 Key Definitions

GENIUS defines 23 terms, but none more important than this one:

Payment Stablecoin: A digital asset designed for payments or settlement. The issuer must maintain a fixed redemption value (e.g., 1:1 with the U.S. dollar) and is required to redeem, repurchase, or convert the token on demand. It is not a national currency or a security.


🏛️ Who Can Issue Stablecoins?

If GENIUS becomes law, (waiting for the House of Representatives and the President to act) only permitted stablecoin issuers may issue payment stablecoins. That means:

No freelancers. No startups cutting corners.
If you’re unauthorized—you’re out. Or worse, facing federal prison time. 🫢


🧾 Requirements for Issuing Stablecoins

Issuers must:

  1. Maintain 1:1 Liquid Reserves
    Reserves must include:
    • U.S. dollars
    • Bank demand deposits
    • Treasury bills, notes, or bonds (≤ 93 days)
    • Short-term repurchase agreements (≤ 7 days)
    • Money market funds
    • Federal Reserve deposits
  2. Ensure Transparency
    • Disclose redemption policies
    • Publish monthly reserve composition
    • Establish clear redemption procedures
  3. Certify Compliance Monthly
    • Signed certifications by both CEO and CFO

What Stablecoin Issuers Can Do

Issuers are restricted to these activities:

  • Issue and redeem stablecoins
  • Manage reserves
  • Provide custodial or safekeeping services
  • Engage in directly related activities

No off-brand ventures allowed.


🏢 Who Will Regulate?

Good news: no new federal agency will be created. Oversight will remain with existing regulators:

  • National Banks: Supervised by the OCC (Office of the Comptroller of the Currency)
  • FDIC-Insured Banks: Supervised by the FDIC
  • State-Chartered Banks: Must follow GENISIS via state regulators
  • Qualified Nonbanks: Regulated by the OCC

This streamlined approach avoids regulatory overlap and confusion.


📄 Application & Approval Process

Once an application is deemed complete, regulators have 120 days to approve or deny.

The Catch:
The 120-day clock doesn’t start until the regulator says the application is complete. A hostile regulator could delay indefinitely by asking for more documents.

If the application is rejected, the regulator must:

“Explain all findings related to material shortcomings and offer actionable recommendations for improvement.”

My Take:
This is unusual—and potentially risky. It effectively requires regulators to teach applicants how to qualify. That raises a key question:

If an applicant can’t complete a solid application, can they really run a stablecoin program? 🤔
And if the program later fails, will they blame the regulator for “bad tutoring”?


⚖️ Rulemaking Timeline

GENIUS includes a standard Rulemaking section.

Congress gives agencies 180 days from enactment to issue final regulations.

🏁 In other words: regulators, start your engines.


🌍 Proverb of the Day

Before I head out, here’s your bonus proverb:

🐻 “A hungry bear does not dance.”
– Turkish Proverb

Until next time,
– Yogi Nelson
Blockchain & AI Forum

Artificial Intelligence, Blockchains, cryptography, Decentralized, Patents, Science, Uncategorized, Yogi Nelson

Access to technology is a human right, not a copyright

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  • ​Recerca​ – fundraising tool for research. They do many things very well, including winning 2nd prize at the Hedera X Filecoin Grant Program. The shortcomings Recera suffers is insufficient decentralization by design. Moreover, the Recera project does not feature tax incentives and they failed to solve the headaches of needlessly lengthy, dull and monotonous funding applications. Council still acts as gatekeepers to donation.
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  • ​Molecule​ – Similar to Experiment.com, but focused only on BioMed research. Raised a $13M seed.

Uncategorized

Unbound Science: Revolutionizing Decentralized Research

AI Agents, AI Tools, Artificial Intelligence, Blockchains, Science, Uncategorized

Understanding Decentralized Science: A New Era for Research Funding

  • Private Sector, i.e., Corporate Research and Development                           50%
  • Federal Government Agencies                                                                       35%
  • Academic institutions                                                                                     11%
  • Private foundations                                                                                            3%
  1. Funding Research via Blockchain.  Scientists can raise funds directly from across the globe using crypto-currencies, NFTs, or project-specific tokens.
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AI Agents, AI Tools, Blockchains, cryptography, Uncategorized, Yogi Nelson

Building Effective AI Agents: A Complete Guide

  1. Complex Decision Making.    Workflows involving nuanced judgment, exceptions, or context-sensitive decisions, e.g. refund approval in customer service workflows.
  2. Difficult to Maintain Rules.  Systems that have become unwieldly due to extensive and intricate rule sets, making updates costly or error-prone, e.g. performing vendor security reviews.
  3. Heavy Reliance on Unstructured Data.  Scenarios that involve natural language, extracting meaning from documents, or interacting with users conversationally, e.g. processing a home insurance claim.
  1. Set up evaluations to establish a performance baseline.
  2. Focus on meeting your accuracy target with the best model available.
  3. Optimize for cost and latency by replacing larger models with smaller ones where possible.  If you want an Open AI model, visit this link:  https://platform.openai.com/docs/guides/model-selection
  1. Data.  Data enables AI agents to retrieve context and information necessary for executing workflow.
  2. Action.  Action tools enable agents to interact with systems to take actions, i.e., adding new information, updating records, or sending messages.
  3. Orchestration.  This is where it gets a bit science fiction.  Orchestration allows AI agents themselves to serve as tools for one or more AI agents!  When to use multiple agents?  When the single agent model fails to follow complicated instructions or consistently selects incorrect tools.
  1. Use existing documents. 
  2. Prompt the AI Agent to break down the tasks into smaller more manageable steps.
  3. Define clear actions.  In other words, make sure every step corresponds to a specific action.
  4. Capture edge cases.  Not everything fits in a box and sometimes information is missing.  Hence, instructions should anticipate common variations and include instructions on how to handle the non-routine with conditional steps.
  1. Relevance Classifier.  This ensures the AI Agent stays within the intended scope by flagging off-topic queries.
  2. Safety Classifier.  These detect unsafe inputs that attempt to exploit system vulnerabilities.
  3. PII Filter.  PLL filters prevent unnecessary exposure of personally identifiable information.
  4. Moderation.  Moderation guardrails flag harmful or inappropriate inputs.
  5. Tool Safeguards.  With tools safeguard you can assess the risk of each tool available to the AI Agent.
  6. Rules-Based Protections.  The idea behind rules-based protection is to use simple deterministic measures to prevent known threats.  
  7. Output Validation.  Ensure responses align with brand values via prompt engineering and content checks.

Until next time,

Yogi Nelson and his AI Agent