Canada: Cryptocurrencies Need Regulation to Prevent Money Laundering 3823

Canadian House finance committee wants the government to dramatically change the way it regulates cryptocurrencies to prevent their use in money laundering.

A cryptocurrency like Bitcoin is a form of electronic cash that’s become increasingly popular for making secure online transactions. Cryptocurrencies are attractive to money launderers because they’re generally anonymous and difficult to trace.

The committee is recommending how the government should regulate cryptocurrencies as part of its review of the Proceeds of Crime (Money Laundering) and Terrorist Financing Act (PCMLTFA), which at least one parliamentary committee is required to undertake every five years. The committee held 18 meetings for the purpose of the review, which it started in February. More than 70 expert witnesses from the field of finance contributed to it.

The committee recommended three significant ways the government should monitor cryptocurrencies.

First, it said exchanges when cryptocurrency is converted from fiat currency should be regulated. (Fiat currency is legal tender, such as the Canadian dollar.) In so doing, the entity conducting the exchange is considered a money-service business. In Canada, such businesses must follow strict financial-reporting guidelines in compliance with the PCMLTFA. The committee’s suggestion aligns with the department of Finance’s proposed amendments to the PCMLTFA, which were published in the Canada Gazette in June.

Second, the committee recommends that cryptocurrency exchanges require a licence, something other jurisdictions such as New York state have already done. In the witness-testimonials part of the report, the committee cites suggestions by financial adviser IJW & Co. and law firm Durand Morisseau LLP, both of which submitted a hefty 56-page joint brief.

“They further explained that in the absence of some degree of regulatory oversight, cryptocurrency transactions may be used by parties to swiftly move large amounts of wealth across borders, and that regulating (exchanges of fiat currencies for cryptocurrencies) would address the (anti-money-laundering) concerns of the cryptocurrency space,” says the report.

The committee’s final recommendation is that government should regulate crypto-wallets, which hold cryptocurrencies, so suspicious purchases can be traced more easily and police can track hacking or financial crime.

While the suggested changes are a small part of the committee’s review of the PCMLTFA, the government is required to table a response to the committee’s recommendations in the House of Commons within 120 days.

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New study finds AI models prefer Bitcoin and digital money over traditional fiat currency 1595

The Bitcoin Policy Institute (BPI), a nonpartisan research organization, released new research today examining how frontier AI models would choose to transact if they were operating as autonomous economic agents. The study tested 36 models from six leading AI providers—Anthropic, DeepSeek, Google, MiniMax, OpenAI, and xAI—across 9,072 open-ended monetary scenarios designed to be neutral, with no suggested currencies or predetermined answers.

Key Findings

  • Bitcoin came out on top at 48.3% of all responses, more than any other option. Stablecoins followed at 33.2%.
  • AI models overwhelmingly rejected fiat: +90% of responses favored digitally-native money (including dollar-pegged stablecoins) over traditional fiat. Not a single model out of 36 chose fiat as its top preference.
  • Bitcoin dominated store of value at 79.1%. In scenarios about preserving value long-term, Bitcoin was the strongest consensus on any single question in the study.
  • Stablecoins led for everyday payments at 53.2%. For transactions and payments stablecoins led over while Bitcoin (36.0%), revealing a clear savings-versus-spending divide.
  • Models invented their own money. Without any prompting, 86 responses independently proposed energy or compute units (such as kilowatt-hours and GPU-hours) as a way to price goods and services.
  • Preferences varied by provider but held across conditions. Bitcoin preference ranged from 91.3% (Anthropic’s Claude Opus 4.5) to 18.3% (OpenAI’s GPT-5.2), but results were consistent regardless of how the models’ output settings were configured.

Without any prompting, AI models converged on a two-tier monetary system—Bitcoin for savings, stablecoins for spending—that mirrors how hard money and liquid instruments have functioned throughout history. As AI agents gain economic autonomy, these preferences carry direct policy implications.

The findings suggest growing demand for agent-native Bitcoin payment infrastructure, self-custody solutions, and Lightning Network integration. The research also found that preferences varied meaningfully across providers and rose with model capability, indicating that monetary reasoning in AI systems is shaped by a combination of model intelligence, training data, and alignment methodology. Policymakers and financial institutions should prepare for a future in which autonomous AI agents are significant participants in monetary networks, and their revealed preferences strongly favor open, permissionless systems.

The full study is available at https://www.moneyforai.org/

About the Bitcoin Policy Institute

The Bitcoin Policy Institute (BPI) is a nonpartisan, nonprofit research organization dedicated to examining the policy and societal implications of Bitcoin and emerging monetary networks. BPI provides research and expert analysis to policymakers, regulators, media, and the public. Learn more at www.btcpolicy.org.

BrandJet AI Launches Artemis MCP and Introduces Forward Deployed AE Role for AI-Driven GTM Teams 3895

BrandJet AI, a brand intelligence and outreach automation platform, today announced the launch of Artemis, a new Model Context Protocol (MCP) layer designed to help go-to-market (GTM) teams execute complex multi-step workflows using natural language prompts. The company also introduced a new commercial role, the Forward Deployed Account Executive (FDAE), created to support organizations adopting AI-native revenue operations.

The announcements reflect BrandJet AI’s continued focus on reducing fragmentation across sales, marketing, and revenue technology stacks by connecting intent detection and outreach execution within a single operating environment.

Addressing GTM Fragmentation

Revenue teams typically rely on multiple systems to monitor brand conversations, identify prospects, enrich contact data, sequence outreach, and track engagement. These processes often require manual coordination across platforms, creating delays between signal detection and commercial action.

Artemis is designed to streamline this workflow. Built on a Model Context Protocol architecture, it connects BrandJet AI’s monitoring, enrichment, sequencing, and performance-tracking capabilities into a unified prompt-driven layer.

Through Artemis, revenue operators can initiate structured workflows using natural language instructions. For example, a user may request the identification of professionals discussing specific topics across digital platforms within a defined timeframe, enrichment of those profiles, and the creation of an outreach sequence aligned to campaign goals. Artemis coordinates those tasks within the system, allowing teams to reduce operational handoffs.

According to BrandJet AI, the goal is not to replace strategic oversight but to simplify execution.

“Revenue teams spend too much time stitching together tools instead of acting on real buying signals,” said Nirav Shah, CEO of BrandJet AI. “Artemis helps unify intelligence and execution so teams can move from insight to outreach more efficiently.”

Prompt-Driven Workflow Orchestration

Artemis supports workflows that include:

  • Monitoring brand and competitor mentions across social platforms and the open web
  • Identifying potential prospects based on observable intent signals
  • Enriching lead data within the platform
  • Initiating multi-channel outreach across email and major social networks
  • Tracking engagement and campaign performance in real time

Rather than requiring operators to manually transfer data between systems, Artemis enables coordinated execution through a conversational interface layered on top of BrandJet AI’s infrastructure.

The system is designed to operate within compliance and governance standards established by customer organizations, maintaining human oversight over messaging and campaign parameters.

Introducing the Forward Deployed Account Executive

Alongside the Artemis launch, BrandJet AI announced the introduction of the Forward Deployed Account Executive (FDAE), a role intended to help enterprise customers integrate AI-driven workflows into their revenue operations.

As AI platforms become more advanced, organizations often encounter implementation gaps between technical capability and day-to-day usage. The FDAE model is structured to address that gap by embedding commercially accountable operators more deeply into customer environments.

Unlike traditional account executives who primarily focus on closing new business, or customer success managers who focus on support and retention, the FDAE combines revenue accountability with workflow strategy support. The role is designed to assist customers in mapping Artemis and broader BrandJet AI capabilities to their specific GTM structures.

“The technology layer is evolving quickly, but successful adoption depends on workflow design and operational alignment,” said Marsad Aurangzeb, Founder of BrandJet AI. “The Forward Deployed AE role is intended to help customers translate AI capabilities into measurable revenue outcomes.”

BrandJet AI plans to formalize the FDAE framework and publish additional details regarding the role’s structure and responsibilities in 2026.

Connecting Listening and Outreach

Historically, social listening and sales engagement technologies have evolved separately. Listening platforms track conversations, brand mentions, and sentiment across digital channels, while engagement platforms focus on outbound sequencing and pipeline development.

BrandJet AI’s platform integrates both functions, allowing teams to identify signals and initiate outreach within the same environment. With Artemis, those processes can now be coordinated through prompt-driven workflows.

For example, when a relevant public conversation surfaces online, such as a discussion about a specific technology category, hiring signals, or operational challenges, Artemis can help surface the signal, enrich the associated contact, and assist in preparing a tailored outreach campaign.

The objective is to reduce the time between observed intent and commercial response, while maintaining alignment with compliance and messaging standards.

Enterprise Implementation and Governance

BrandJet AI emphasizes that Artemis is built to operate within enterprise governance frameworks. Campaign parameters, messaging templates, and data usage policies remain configurable by customer teams.

As organizations expand AI adoption within revenue functions, governance considerations, including messaging accuracy, compliance adherence, and brand alignment, remain central. Artemis is positioned as an execution layer that operates within these controls rather than outside them.

The company states that ongoing enhancements are planned, including additional intent modeling refinements, deeper workflow customization, and validation loops that compare forecasted campaign outcomes with actual engagement performance over time.

Availability

Artemis MCP is available immediately to customers on BrandJet AI’s Growth and Enterprise plans. Availability for Starter plan users is expected in Q2 2026. Forward Deployed Account Executive engagements are currently offered on a limited basis for Enterprise customers.

Organizations interested in learning more may contact BrandJet AI directly for additional information.

About BrandJet AI

BrandJet AI is a brand intelligence and outreach automation platform designed for modern revenue teams. The platform enables organizations to monitor brand and competitor activity across digital channels, identify potential prospects based on social and behavioral signals, and execute multi-channel outreach campaigns within a unified interface. BrandJet AI serves growth-stage and enterprise organizations across SaaS, financial services, and professional services industries.

Morph Integrates USDT0, Unlocking Access to the World’s Largest Stablecoin Liquidity Pool 4914

Ethereum-based payments settlement network Morph has integrated USDT0, the omnichain Tether liquidity network powered by LayerZero. The move gives Morph, which aims to become the settlement layer for everyday money, direct access to unified USDT liquidity across 18+ blockchains.

For developers building payment apps, merchant tools or even DeFi protocols on Morph, this means they can tap into a massive, ready-made liquidity pool from day one without the headache of managing a dozen different bridged token contracts.

No more bridges. No more wrapped tokens

Traditionally, using USDT on another blockchain requires a bridge. This process locks the original tokens and mints a new, “wrapped” version on the destination chain.

These wrapped variants are not the same asset. They are separate tokens backed by assets held in complex smart contracts, leading to liquidity fragmentation — where the same currency is trapped in isolated pools — and introducing counterparty risk if a bridge fails.

USDT0 proposes a different model. Instead of locking and minting, it uses a burn-and-mint mechanism. To move USDT from Chain A to Chain B, tokens are burned on Chain A and minted directly from Tether’s canonical supply on Chain B.
As a result, USDT0’s Omnichain Fungible Token (OFT) standard creates a single, consistent asset across all supported networks.

What USDT0 enables for builders on Morph

While many L2s compete for general DeFi activity, Morph is engineered for a specific vertical: payments. Its architecture — featuring sub-300ms block times and zero-fee stablecoin transfers — targets merchant settlement, remittances, crypto cards issuance, and treasury management.

For such use cases, deep and frictionless liquidity is non-negotiable. USDT, with a market cap exceeding $185 billion, represents the largest pool of stablecoin liquidity in crypto.

As the USDT0 integration is now live on Morph mainnet, developers on Morph can integrate what is effectively a universal USDT, slashing technical overhead and simplifying cross-chain user experience, which means:

  • Payment applications can process cross-border transactions with instant settlement and minimal overhead.
  • DeFi protocols can access deeper liquidity without managing multiple stablecoin variants.
  • Merchant platforms can accept stablecoin payments with seamless conversion and settlement.
  • Financial institutions can execute treasury operations with predictable behavior across chains.

The combination of USDT0’s unified liquidity and Morph’s payment-optimized infrastructure lays a powerful foundation for next-generation financial applications.

We’re excited to work alongside the USDT0 team in advancing the vision of unified, omnichain liquidity that makes stablecoins truly borderless.

Money at the speed of life.

About Morph

Morph is an Ethereum-based, payments-first settlement layer and the native onchain home of BGB, focused on building the foundation for global consumer finance onchain. Morph supports real-world financial activity across payments, savings, identity, and rewards, enabling scalable, onchain settlement for consumer and business use. Guided by the Morph Foundation, the network connects more than 120 million users through the Bitget and Bitget Wallet ecosystems.

SHOW Token Uses AI and Web3 Infrastructure to Improve Film Production Efficiency 4212

As the Web3 ecosystem shifts toward utility-focused projects, SHOW Token emerges as a blockchain-based initiative applying artificial intelligence (AI) and Web3 infrastructure to the film industry. The project explores how on-chain participation and AI-assisted workflows can address long-standing inefficiencies in film production.

SHOW Token is designed as a utility token within an AI-driven cinematic platform. Rather than functioning purely as a speculative asset, the token is integrated into platform usage, enabling access, engagement, and participation across the ecosystem.

AI and Blockchain in Film Production

Traditional film production often struggles with opaque funding structures, limited access for independent creators, and inefficient creative workflows. SHOW Token’s ecosystem combines blockchain transparency with AI-powered production tools to create clearer participation models and more efficient processes.

From a technical standpoint, blockchain infrastructure supports transparent contribution tracking and clearer value flow between creators and contributors. This helps reduce reliance on closed networks and intermediaries that commonly exist in traditional production models.

Artificial intelligence serves as a workflow optimization layer. AI-assisted tools are intended to support ideation, pre-visualization, and production efficiency, allowing creators to reduce operational friction while maintaining creative control. This reflects a broader industry trend where AI enhances productivity rather than replacing human creativity.

Utility-First Web3 Approach

SHOW Token emphasizes long-term ecosystem development and real platform usage over short-term price narratives. The project remains in an early development phase, focusing on building foundational infrastructure rather than making speculative claims.

By aligning AI technology, blockchain participation, and utility-driven token design, SHOW Token positions itself within a growing category of Web3 projects targeting real-world creative industries.

More information about the project’s vision and ongoing development is available at https://showtoken.io/

Xojo 2025r3 Delivers Major Updates, New Libraries Feature, Integrated AI Assistant, and Modern OS Support 4525

Xojo, Inc., the developers behind Xojo—a powerful cross-platform development tool and programming language— announce the immediate availability of Xojo 2025 Release 3, a significant update that expands platform compatibility, introduces powerful new development tools and enhances performance across Desktop, Web, Console, iOS and Android.

This release adds official support for macOS Tahoe 26 and iOS 26, including Apple’s new Liquid Glass interface technologies, ensuring developers can confidently build and deploy apps on the latest operating systems.

Xojo 2025r3 debuts Libraries, a major enhancement to the IDE that allows developers to package and reuse compiled classes and interface elements across Desktop, Web, Console and iOS projects. Libraries make sharing and versioning custom functionality easier and faster.

The IDE also introduces Jade, Xojo’s new integrated AI assistant. Jade helps developers write code more efficiently, suggest improvements and accelerate learning directly from inside the Xojo environment. “Xojo 2025r3 is one of our most forward-looking releases yet. With Libraries, modern platform support and our new AI assistant Jade, we’re giving developers powerful tools that help them work faster, build smarter and deliver great apps on every platform,” says Geoff Perlman, Xojo’s Founder and CEO.

New Features and Updates:

  • Support for macOS Tahoe 26 and iOS 26
  • IDE now supports Libraries for Desktop, Web, Console and iOS projects
  • IDE now has an AI assistant, called Jade
  • Added DesktopGrid control
  • Multiple WebListBox improvements
  • Web now uses Bootstrap v5.3.7 and Bootstrap Icons v1.13.1
  • Added Passkeys/WebAuth support for web apps
  • Windows DesktopXAMLContainer improvements
  • Expanded WinUI-backed controls
  • Several Crypto enhancements
  • Improved color settings for layouts and controls on iOS and Android
  • Android Support for PDFDocument
  • Android now uses Kotlin 2.2.20 and targets Android 16 (SDK 36)

About Xojo

Xojo is a cross-platform development tool for building native apps for macOS, Windows, Linux, iOS, Android, the web and Raspberry Pi. For over 25 years, Xojo has supported a growing community of developers passionate about creating powerful applications with ease. Learn more at xojo.com. Download Xojo 2025 Release 3 at xojo.com/download.

Availability

Xojo is free for learning and development, as well as for building apps for Linux and Raspberry Pi. Paid licenses start at $499 for cross-platform Desktop, Mobile, or Web development. Xojo Pro and Pro Plus licenses, starting at $999, offer additional support and resources for professional developers. Special licensing is available for educators and students. Visit xojo.com/store for details.

Gensyn Launches $AI Token Sale on Sonar 4842

The token sale offers 3% of the token supply, a bonus multiplier for Testnet participants, and the opportunity to receive a Gensyn branded GPU workstation. https://token.gensyn.network/

$AI Details:

The Gensyn Foundation (“Gensyn”) today launches its $AI token sale on Sonar, marking a major milestone ahead of its upcoming Mainnet. The sale introduces the native token that will coordinate payments, staking & security, and governance across the Gensyn network.

The a16z-backed, decentralised AI network is preparing for Mainnet and launching the $AI token sale. The Gensyn Testnet has already demonstrated rapid traction, including:

  • 2,000,000+ AI models trained
  • 165,000+ users
  • 90,000,000+ transactions (575,000 per day)

The $AI token is the utility currency for the Mainnet network, a network where anyone can contribute AI compute, training signals, models, or evaluation criteria and where performance is priced transparently in real time. The combination of deterministic verification, open evaluation, and decentralised compute forms a market-driven system for continual learning, directed by true economic interest and supplied by anyone, or any system, in the world..

The sale offers 300,000,000 tokens (3 percent of supply) through an English auction with a valuation floor of $1 million FDV and a valuation cap of $1 billion FDV, matching the price of Gensyn’s last a16z-led funding round two months ago. The sale runs on Ethereum Mainnet with USDC or USDT and a $100 minimum bid, while tokens will be claimed on the Gensyn Network (L2).

About the Testnet Multiplier:

In addition to priority allocation, verified Testnet users will also receive a bonus token multiplier on their purchase amount, taken from a 2% reward pool. The exact multiplier will be based on each user’s participation throughout the Gensyn Testnet, as well as their bid amount in the sale. Higher participation and bid amounts equal a higher multiplier, with the majority of the multiplier coming from their Testnet participation. Multipliers will grant additional tokens on top of the purchase amount for no extra cost.

“We’ve had huge success testing our infrastructure and applications on testnet and we’re ready to move to the next phase, operating with real value and game theoretic security on mainnet. Doing a public sale ahead of launch allows us to focus on fair distribution and prioritise community members who have supported the testnet and show conviction in our thesis.”- Ben Fielding, Co-Founder and CEO, Gensyn AI