U.S. Federal Housing FHFA Director William J. Pulte has ordered Fannie Mae and Freddie Mac to consider cryptocurrency as an asset for single-family mortgage loan risk assessments. Pulte said he ordered the change because cryptocurrency may offer an opportunity to build wealth outside of the stock and bond markets, cryptocurrency has not typically been considered in the mortgage risk assessment process, and the consideration of additional borrower assets in that process “may enable the Enterprises to assess the full spectrum of asset information available for reserves and to facilitate sustainable homeownership to creditworthy borrowers.” The order directs Fannie Mae and Freddie Mac to each prepare a proposal for making this change to their single-family mortgage loan risk assessments, consider only cryptocurrency assets that are stored on a U.S.-regulated centralized exchange, and consider additional risk mitigators. “Prior to implementing any changes, each Enterprise must submit and receive approval from its Board of Directors prior to submitting to U.S. Federal Housing FHFA for review,” the order said. Pulte said that his department would review whether crypto holdings should affect Americans’ mortgage applications.
Digital Asset’s public, permissionless DeFi platform is built from the ground up on Layer-1 blockchain to enable integration of real world assets (RWAs) and allows institutions to tailor privacy settings to their specific needs
Digital Asset has raised $135 million in its strategic funding round. This funding accelerates institutional and decentralized finance adoption on the Canton Network, the only public, permissionless Layer-1 blockchain that offers configurable privacy and institutional-grade compliance at scale. The capital will rapidly expand the integration of hundreds of billions of real-world assets (RWAs) onto Canton, building upon its already substantial deployment of diverse asset classes, including bonds, money market funds, alternative funds, commodities, repurchase agreements (repos), mortgages, life insurance, and annuities. The raise also deepens the relationship with several firms already part of the Canton Network and its Global Synchronizer Foundation, including, BNP Paribas, DRW, Goldman Sachs, Liberty City Ventures, QCP, and Tradeweb, all of whom have played various roles in either the testing, governance, infrastructure, or app development on the Network since its inception. This funding highlights the market’s recognition of Digital Asset’s vision and the pioneering design of the Canton Network, the only network built from the ground up with configurable on-chain privacy. By allowing institutions to tailor privacy settings to their specific needs, Canton overcomes the primary barrier to blockchain adoption: the conflict between transparency and financial confidentiality. As the first comprehensive solution of its kind, Canton bridges the gap between blockchain innovation and real-world financial compliance.
Google announced its open-source Gemini-CLI that brings natural language command execution directly to developer terminal and offering extensibility architecture, built around the emerging MCP standard
Google announced its open-source Gemini-CLI that brings natural language command execution directly to developer terminals. Beyond natural language, it brings the power of Google’s Gemini Pro 2.5 — and it does it mostly for free. The free tier provides 60 model requests per minute and 1,000 requests per day at no charge, limits that Google deliberately set above typical developer usage patterns. The tool is open source under the Apache 2.0 license. While Gemini CLI is mostly free, OpenAI and Anthropic’s tools are not. Google senior staff software engineer Taylor Mullen noted that many users will not use OpenAI Codex or Claude code for just any task, as it carries a cost. Another key differentiator for Gemini CLI lies in its extensibility architecture, built around the emerging Model Context Protocol (MCP) standard. This approach lets developers connect external services and add new capabilities and positions the tool as a platform rather than a single-purpose application. The extensibility model includes three layers: Built-in MCP server support, bundled extensions that combine MCP servers with configuration files and custom Gemini.md files for project-specific customization. This architecture allows individual developers to tailor their experience while enabling teams to standardize workflows across projects. If an organization wants to run multiple Gemini CLI agents in parallel, or if there are specific policy, governance or data residency requirements, a paid API key comes in. The key could be for access to Google Vertex AI, which provides commercial access to a series of models including, but not limited to, Gemini Pro 2.5. Gemini CLI operates as a local agent with built-in security measures that address common concerns about AI command execution. The system requires explicit user confirmation for each command, with options to “allow once,” “always allow” or deny specific operations. The tool’s security model includes multiple layers of protection. Users can use native macOS Seatbelt support for sandboxing, run the agent in Docker or Podman containers, and route all network traffic through proxies for inspection. The open-source nature under Apache 2.0 licensing allows complete code auditing.
Experian adds Mastercard’s ID verification to offer robust protection against synthetic identity and application fraud, aiming to validate individuals’ authenticity
Experian announced the integration of Mastercard’s identity verification and fraud prevention technology into the Experian Ascend Platform. This collaboration will enable seamless, secure, and efficient identity verification for global clients, helping to prevent fraud and cybercrime. A key feature in Experian’s Identity and Fraud solutions, identity verification, plays a vital role in the fight to prevent fraud and cybercrime. Mastercard’s Identity Insights enriches Experian’s data by verifying and connecting identity elements, aiming to validate individuals’ authenticity. When combined with Experian’s advanced fraud-detection capabilities, the integration offers robust protection against synthetic identity and application fraud, enhancing detection while reducing friction for legitimate customers. The joint solution delivers powerful identity assessment by uniting the Experian Ascend Platform—a decision engine built on Experian’s comprehensive data, strategy design, decision automation, monitoring and reporting—with Mastercard’s Identity Insights for validating identity elements such as name, email, and phone numbers, and analyzing related metadata. Greg Wright, Executive Vice President of Identity and Fraud, Experian Software Solutions said, “By enabling clients with advanced analytics solutions that bring credit, identity, and fraud data into the Ascend Platform, we help them achieve their strategic goals while also driving greater financial inclusion for consumers.”
Mastercard’s sandbox to offer banks access to its ISO 20022-compliant fifth generation account-to-account (A2A) real-time payments infrastructure for testing payment use cases across retail, peer-to-peer (P2P), and B2B transactions
Mastercard has developed a sandbox where financial institutions can experiment with the latest instant payments technology. The sandbox gives banks access to Mastercard’s fifth generation account-to-account (A2A) real-time payments infrastructure. Within this environment, UK financial institutions can test payment use cases across retail, peer-to-peer (P2P), and B2B transactions. For example, the sandbox will enable institutions to implement a “5-leg credit transfer,” allowing a consumer to make a real-time payment at a merchant with the retailer receiving instant confirmation. According to Mastercard, the merchant and their financial institution would also receive richer data from these transactions, as the sandbox will adhere to the ISO 20022 format. While there are benefits to ISO 20022 adoption, many financial institutions—especially small- to mid-tier banks—have yet to achieve compliance. Beyond the costs associated with upgrading, a key reason for hesitation is concern around risk and fraud. This is where the sandbox model can provide value for highly regulated financial institutions looking to adopt emerging technologies. For example, artificial intelligence has become one of the most transformative technologies in recent years. Yet, many financial institutions worry it could make errors or jeopardize sensitive customer data. In response, Nvidia launched its own sandbox, allowing UK banks to experiment with AI and uncover use cases in a controlled setting. This approach helps financial institutions stay competitive while minimizing exposure to risk.
Investment platform Republic to offer retailer investors access to blockchain-based fractional shares of SpaceX, delivering more transparency, portability, and lower friction than traditional private equity deals
Investment platform Republic unveiled an industry first: blockchain-based fractional shares of Elon Musk’s private space company SpaceX. For the first time, retail investors—those without institutional backing or venture capital credentials—can gain exposure to one of the most sought-after private companies in the world. Investors won’t have a say in SpaceX’s strategic direction or Musk’s next launchpad move. What they do get is exposure to the company’s valuation growth—a potentially lucrative proposition, especially for those priced out of private equity until now. By putting these fractional shares on-chain, the platform delivers transparency, portability, and lower friction than traditional private equity deals. The move also bypasses many of the compliance headaches associated with traditional investment vehicles. It’s not equity in the classic sense—there are no shareholder meetings or board seats—but it’s a financial stake in the company’s future. That alone marks a major psychological and structural shift in how we define ownership in the digital age. It’s not a free-for-all—there are still guardrails and eligibility filters—but the aperture has widened significantly. More broadly, Republic’s move could set a precedent.
SECU’s integration of MANTL’s deposit origination tech to enable onboarding on any device or channel through over 85% automation of application decisions, including KYC, AML, Bank Secrecy Act, product service ordering, funding, and core booking
State Employees’ Credit Union of Maryland (SECU), a $5.7B credit union with 23 financial centers across Maryland, has partnered with MANTL, an Alkami solution team, to improve its in-branch and online account opening processes for businesses and retail members. The partnership will allow SECU to open new member accounts on any banking channel, at any time, demonstrating SECU’s commitment to providing the best possible banking experiences. SECU will leverage MANTL’s Consumer Deposit Origination to transform the online account opening experience and streamline the in-branch experience for members and employees. The Business Deposit Origination will allow SECU to better attract, serve, and deepen relationships with businesses across its target markets. By integrating MANTL with its core processing system, SECU will automate over 85% of application decisions, including Know Your Customer, Anti-Money Laundering, Bank Secrecy Act, product service ordering, funding, and core booking.
Tokenized private credit fund managed by Apollo Global Management and Securitize reaches $100 million in on-chain assets indicative of the growing acceptance of blockchain tech in traditional finance
Apollo Global Management’s tokenized private credit fund, managed by Apollo and Securitize, has reached a $100 million in on-chain assets, highlighting the growing acceptance of blockchain technology in traditional finance. The fund targets key investment areas such as Corporate Direct Lending, Asset-Backed Lending, Performing Credit, Dislocated Credit, and Structured Credit. The $100 million milestone aligns with industry projections, which estimate the global tokenization market will grow from $2.3 billion in 2021 to $5.6 billion by 2026. Securitize’s technology enables the fund to operate across multiple blockchains, enhancing accessibility for institutional investors. The partnership builds on a growing collaboration between traditional finance and digital asset firms, and Securitize’s platform streamlines private market efficiency, offering improved transparency and potentially lower interest rates. However, challenges remain, such as the decentralized nature of blockchain platforms.
Aquant’s “retrieval-augmented conversation” feature allows LLMs to retrieve and present information to users that allows them natively to act as a guided domain expert
Aquant Inc., the provider of an AI platform for service professionals, introduced “retrieval-augmented conversation,” a new way for LLMs to retrieve and present information to users that allows them natively to act as a guided domain expert instead of receiving and presenting knowledge as a single all-in-one answer. RAC can be thought of as an expert technician that is aware of its capacity and capabilities, Indresh Satyanarayana, vice president of product technology and labs, and the father of retrieval-augmented conversation, told. It helps the AI look at a user’s question and ask follow-up questions to fill knowledge gaps and generate tailored solutions. Unlike RAG, RAC introduces dynamic turn-taking, much more like a human conversation with an expert in the field in question. It’s designed to provide “bite-sized actions,” which he says avoids cognitive overload for the user. Not only that, RAC can incorporate even more data points into its conversational context depending on the persona developers want to build into their AI app. “It retrieves not only manuals but transactional data, job history, parts catalogs, internet of things readings, and key performance indicator targets, then reasons over that richer context to recommend the action that best balances cost, risk and time,” said Satyanarayana. RAC does not fundamentally replace RAG; it will still perform the retrieval-augmented portion. Documents still need to be searched and retrieved, and this aspect will guide the conversation for the user. On the other end, developers will have a chance to decide how “chatty” their app acts. It can do one-to-one questions solving one ambiguity at a time and then provide a final answer after they have all been resolved. Alternatively, they could develop an app that can resolve multiple questions at once, the way some people can hold multiple threads of conversation at the same time — like many open tabs in Chrome while researching — before resolving the problem.
Google’s new app lets users not only virtually “try on” outfits but also see themselves in motion while wearing them in AI-generated videos
Google launched an experimental app that lets users not only virtually “try on” outfits but also see themselves in motion while wearing them. The new Doppl app from Google Labs builds on the capabilities of the AI Mode virtual try-on feature launched in May by Google Shopping, adding the ability to turn static images into artificial intelligence-generated videos. The dynamic visuals give users “an even better sense for how an outfit might feel.” Users can generate these images and videos by uploading a full-body photo of themselves as well as photos or screenshots of the items they would like to try on. “With Doppl, you can try out any look, so if you see an outfit you like from a friend, at a local thrift shop, or featured on social media, you can upload a photo of it into Doppl and imagine how it might look on you,” Google’s post said. “You can also save or share your best looks with friends or followers.”