Ripple Pledges $25M to Boost Small Businesses and Veterans

TheCryptoTimesPublicado a 2025-09-15Actualizado a 2025-09-15

Ripple has announced a $25 million commitment in the United States to strengthen small businesses and support veterans. The financial technology firm announced a major partnership with Accion Opportunity Fund and Hire Heroes USA, targeting underserved small business owners and transitioning veterans. 

This marks Ripple’s second $25 million donation in 2025. According to the announcement, Small businesses currently employ nearly half of the American workforce and generate 43.5% of the nation’s GDP. 

However, many still struggle to access affordable capital. At the same time, about 200,000 veterans transition to civilian life each year, with 80% facing joblessness at the start. 

Expanding Economic Opportunity

Brad Garlinghouse, CEO of Ripple, stressed the move, saying, “Small businesses and veterans are two of the most powerful engines of American progress, yet both face barriers that limit their full economic impact.” Consequently, Ripple’s funding will fuel lending programs, training, and new fintech-focused career opportunities.

Moreover, Accion Opportunity Fund expects the donation to generate $125 million in small business lending. Ripple’s new Digital Leap Forward accelerator program will also equip entrepreneurs with training and $500,000 in immediate funding. 

Additionally, Hire Heroes USA plans to generate 14,000 job opportunities for veterans and military spouses. The initiative will also introduce a Fintech Pathways program, expected to create $900 million in annual economic impact.

Driving Crypto-Backed Philanthropy

Ross Dickman, CEO of Hire Heroes USA, emphasized, “Ripple’s investment is a powerful affirmation of our mission to ensure veterans and military spouses never have to face the civilian workforce alone.” Furthermore, the nonprofits will receive donations in RLUSD via The Giving Block and Uphold, allowing them to directly experience digital asset management.

Ripple’s strategy mirrors its May donation to DonorsChoose and Teach For America. That earlier grant funded 30,000 classroom projects and expanded teacher resources nationwide.

As of writing, Ripple’s native token XRP trades at $3.02, with a 24-hour trading volume of $6.04 billion, according to CoinMarketCap. However, the token has dropped 0.97% in the past 24 hours.

Ripple is blending philanthropy with digital innovation, proving stablecoins can drive measurable community and economic impact at scale.

Also Read: Nature’s Miracle to Tokenize Carbon Credits on XRP Ledger

Mobile Only ImageMobile Only Image

Lecturas Relacionadas

Ledger has eliminated a vulnerability in the Ethereum application

Ledger has patched a vulnerability in its Ethereum application related to certain clear signing transaction flows. The bug, found by Ledger's internal security team Donjon using AI-powered tools, was fixed in app version 1.22.2. The issue involved the processing of APDU command flows, where a malicious smart contract could theoretically trick the user interface and substitute transaction data during signing. For instance, a user might believe they were approving a small transfer while actually granting unlimited access to an attacker's address. Ledger's CTO Charles Guillemet stated that users with updated firmware and apps are fully protected. He criticized a third-party security company for its public disclosure of the bug after the patch was already released, calling it a violation of responsible disclosure principles. The company allegedly requested a bounty post-fix without prior discussion with Ledger's bug bounty program. The report follows recent news of a data breach at hardware wallet competitor Trezor, where a logistics partner was hacked.

cryptonews.ruHace 3 min(s)

Ledger has eliminated a vulnerability in the Ethereum application

cryptonews.ruHace 3 min(s)

"Transparency" Act Will Not Save U.S. Treasury Market, Analyst Warns

An analyst warns that the proposed "Digital Asset Market Clarity Act" will not save the U.S. Treasury bond market. While some proponents believe the legislation would enable stablecoins to boost demand for U.S. debt, investment manager Lawrence Lepard argues this is a misconception. He notes the total market cap of stablecoins (primarily backed by Treasuries held by firms like Circle and Tether) is around $255 billion and has stabilized, which is insufficient against the trillions in debt the Treasury must refinance annually. He estimates stablecoins would cover only about 3% of the needed funding. Most analysts agree clear regulations would increase stablecoin demand, but Lepard contends expecting it to significantly offset declining foreign investor demand—down from 57% post-financial crisis to 32% in 2025—is unrealistic. However, figures like Coinbase's Fariar Shizarad stress that dollar-pegged stablecoins could convert global digital dollar demand into Treasury demand, which is needed across the yield curve.

cryptonews.ruHace 3 min(s)

"Transparency" Act Will Not Save U.S. Treasury Market, Analyst Warns

cryptonews.ruHace 3 min(s)

NVIDIA's AI Sweeps ARC-AGI-3, Chinese-Led Team Aces All 183 Levels in One Go

NVIDIA's general-purpose coding agent AVO has achieved a perfect 100.00 RHAE score on the ARC-AGI-3 benchmark. It solved all 183 levels across 25 game environments in just 6,624 steps. ARC-AGI-3 is a notoriously difficult test where agents are placed into unfamiliar games with no instructions, forcing them to deduce rules and goals through trial and observation. Top models like Claude Opus 5 typically score only around 30% when acting alone. AVO's breakthrough comes not from improving the underlying AI model (Claude Opus 5), but from adding an intelligent external framework or "harness" around it. This framework addresses three key failure modes: misunderstanding global rules, misapplying familiar mechanics, and failing to learn correctly from success. Two core mechanisms drive AVO's performance: 1. **Persistent Memory:** It stores past attempts, compiler outputs, and reasoning across tasks, preventing the model from resetting and re-exploring dead ends when its context window fills. 2. **Supervisor Agent:** A separate module monitors the main agent's progress, intervening to redirect strategy when it gets stuck or repeats unproductive actions. Notably, AVO processed the visual game environments using a pure 64x64 text grid representation, without any image tokens. Originally developed for GPU kernel optimization, AVO autonomously evolved CUDA code for 7 days, producing attention kernels that outperformed NVIDIA's own cuDNN and the leading open-source implementation, FlashAttention-4. The same core architecture was then successfully applied to ARC-AGI-3, demonstrating its generalizability for long-horizon, autonomous problem-solving. The project features a predominantly Chinese team, including Distinguished Engineer Bing Xu (co-author of the original GAN paper and creator of MXNet) and Tianqi Chen (creator of TVM and XGBoost). NVIDIA's strategy highlights that while AI models are crucial, the surrounding system—managing memory, tools, and feedback—is equally vital for creating capable, long-term autonomous agents. This approach aligns with NVIDIA's focus on providing the essential hardware and software infrastructure for the next generation of AI workloads.

marsbitHace 17 min(s)

NVIDIA's AI Sweeps ARC-AGI-3, Chinese-Led Team Aces All 183 Levels in One Go

marsbitHace 17 min(s)

Anthropic: AI Has Not Led to an Increase in Unemployment Rate

Anthropic's Chief Economist, Peter McCrory, argues that despite significant growth in AI adoption, it has not yet led to increased unemployment in the US. Current data shows stable unemployment rates, even in occupations highly exposed to AI automation. His analysis, based on Anthropic's research over 18 months, suggests AI is currently a "skill-biased, labor-augmenting" technology. It enhances human capabilities rather than replacing workers because every job contains tasks—like interpersonal coordination or physical interaction—that AI cannot systematically perform. Furthermore, effective use of AI requires high user expertise, and human roles in planning and judgment remain crucial, even as agents handle more delegated tasks. McCrory acknowledges three future scenarios—software, economic, and Coasean singularities—where AI could recursively improve itself or drastically lower transaction costs, potentially disrupting labor markets and organizational structures. However, he posits that "weak links," the indispensable tasks resistant to automation, will act as a buffer, preventing a collapse in labor's share of income. He predicts US unemployment will not rise significantly due to AI within the next 12 months, with key indicators being unemployment in AI-exposed jobs and the return on human expertise in agent-based workflows.

marsbitHace 17 min(s)

Anthropic: AI Has Not Led to an Increase in Unemployment Rate

marsbitHace 17 min(s)

Trading

Spot
活动图片