Safe Foundation and World Foundation Strengthen Economic Alignment Through 5-Year Token Swap

TheNewsCryptoPubblicato 2026-02-19Pubblicato ultima volta 2026-02-19

Introduzione

Safe Foundation and World Foundation have entered a five-year token swap as the inaugural partnership in Safe’s 5M SAFE Ecosystem Alignment Program. This long-term commitment aims to strengthen economic alignment and advance secure, user-friendly self-custody solutions at scale. The program allocates up to 5 million SAFE tokens to foster infrastructure development through multi-year token swaps, creating bilateral economic exposure with ecosystem leaders. World Foundation has been a key player in onboarding over 37 million users to self-custody via Safe smart accounts, contributing to easier user onboarding and improved UX. The collaboration supports open-source standards and public good initiatives, aligning with Safe’s mission to promote digital ownership. Safe, securing approximately $60 billion in assets, is a leading onchain custody protocol focused on universal smart account standards. This partnership underscores a shared commitment to accelerating the adoption of secure and accessible self-custody across the onchain economy.

First partnership in Safe Foundation’s 5M SAFE Ecosystem Alignment Program, with a five-year commitment to advancing secure and easy self-custody

The Safe Foundation and World Foundation are doubling down on their shared vision with a five-year token swap – a long-term commitment that signals deep collaboration to advance usable self-custody at scale. This inaugural partnership in our 5M SAFE Ecosystem Alignment Program uses SAFE and WLD tokens to create bilateral economic exposure, positioning both ecosystems to accelerate secure and easy self-custody adoption.

Safe Foundation launches Ecosystem Alignment Program, allocating up to 5M SAFE to scale infrastructure

The Safe Foundation is committing up to 5,000,000 SAFE to accelerate the infrastructure powering secure and easy self-custody across the onchain economy. Through multi-year token swaps, the Safe Foundation is creating genuine, bilateral economic exposure with ecosystem leaders.

The program operates through standardized, non-exclusive agreements designed to foster open collaboration, not closed ecosystems. As self-custody infrastructure matures from experimental to essential, the Safe Foundation ensures it’s economically positioned alongside the teams making that transition possible. This ensures that technical collaboration becomes economically rational, and long-term ecosystem success becomes mutually reinforcing.

A Collective Commitment to Usable Self-Custody at Scale

World has done more to onboard people around the world to self-custody than anyone else. From the beginning, World chose to build on the Safe smart account. It continues to enable every user to have a secure self-custodial experience, while making use of the flexibility and composability of the tech stack allowing to abstract onboarding and day to day hurdles for users.

Through this, the World ecosystem has created the leading application across Web3, having onboarded more than 37M individuals. The use of smart accounts has been critical for easier onboarding and for enabling the UX of self-custody that can rival that of centralized web2 services. Ultimately, this gives verified humans on World rights and ownership over their identity, data and assets. With their launch of World Chain and ongoing development of the space they are actively bringing and supporting builders which by nature overlaps towards the Safe ecosystem. This includes grant programs for developers and builders that interact with Safe based World accounts. After previous collaborations we are excited to continue and deepen the alignment between both teams.

World Foundation’s commitment to support open source standards and actively contribute to the open source ecosystem adds another layer of value alignment between the Safe project, including its DAO enforced public good nature of the Safe smart contracts.

About Safe

Safe (previously Gnosis Safe) is an onchain asset custody protocol, securing ~$60 Billion in assets today. Released as on open-source software stack by the Safe Ecosystem Foundation, it is establishing a universal ‘smart account standard for secure custody of digital assets, data, and identity. Safe is built for the mission to unlock digital ownership for everyone in web3, including DAOs, enterprises, retail, and institutional users

Website, Twitter, Discord, Blog, GitHub, Docs

About the Safe Ecosystem Foundation, Zug, Switzerland

The mission of the Safe Ecosystem Foundation is to support the development of Safe, to strengthen Safe technology and to promote the Safe Ecosystem. The Safe Ecosystem is a non-profit organisation based in Zug, Switzerland, that helps educate people about Safe smart accounts and promotes Safe technology through the provision of grants and other forms of funding.

This is not an offer to sell or a solicitation of an offer to purchase any SAFE tokens and is not an offering, advertisement, solicitation, confirmation, statement, or any financial promotion that can be construed as an invitation or inducement to engage in any investment activity or similar.

The Safe Ecosystem Foundation makes no representations, warranties and/or covenants with respect to the Safe Technology (or any implementations of the Safe{Wallet} and/or Safe Smart Accounts) or any program (Grants, Hackathons and/or any other forms of funding) run by the Safe Ecosystem Foundation. You should not rely on the content herein for advice of any kind, including legal, investment, financial, tax, or other professional advice, and such content is not a substitute for advice from a qualified professional.

Disclaimer: TheNewsCrypto does not endorse any content on this page. The content depicted in this Press Release does not represent any investment advice. TheNewsCrypto recommends our readers to make decisions based on their own research. TheNewsCrypto is not accountable for any damage or loss related to content, products, or services stated in this Press Release.

TagsPress ReleaseSafe Foundation

Domande pertinenti

QWhat is the purpose of the 5-year token swap between Safe Foundation and World Foundation?

AThe 5-year token swap creates bilateral economic exposure between the two foundations using SAFE and WLD tokens, representing a long-term commitment to advance secure and easy self-custody adoption at scale.

QHow much SAFE has the Safe Foundation allocated to its Ecosystem Alignment Program?

AThe Safe Foundation has allocated up to 5,000,000 SAFE tokens to its Ecosystem Alignment Program to accelerate infrastructure for secure self-custody.

QWhat makes World Foundation's approach to self-custody particularly significant according to the article?

AWorld Foundation has onboarded more than 37 million individuals to self-custody, creating the leading application across Web3 by using Safe smart accounts to enable user-friendly experiences that rival centralized web2 services.

QWhat is the core mission of the Safe protocol as described in the article?

ASafe's mission is to unlock digital ownership for everyone in web3 by establishing a universal smart account standard for secure custody of digital assets, data, and identity, currently securing approximately $60 billion in assets.

QHow does the article describe the nature of the agreements in the Ecosystem Alignment Program?

AThe program operates through standardized, non-exclusive agreements designed to foster open collaboration rather than closed ecosystems, making technical collaboration economically rational and ensuring long-term mutual success.

Letture associate

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

AI is reshaping the labor market's value proposition. The traditional four-year college degree is losing its appeal as a guaranteed career path, while skilled blue-collar trades like electricians, welders, and plumbers are experiencing historic demand and wage premiums. This shift is driven by dual pressures: AI's displacement of certain white-collar roles and a booming need for physical infrastructure and data center construction. Data confirms the trend. In the U.S., vocational school revenue surged, and a significant portion of recent layoffs are AI-related. Surveys show a majority of Gen Z adults plan to pursue blue-collar work, citing better job security against AI automation. Vocational education interest has exploded recently. Experts cite a psychological shift as younger generations seek tangible, AI-resistant careers and avoid high student debt. In many cases, salaries for skilled trades now match or exceed those requiring a bachelor's degree. In South Korea, semiconductor vocational high schools boast near-total employment, with graduates securing high-paying roles at companies like Samsung. The shortage is structural, exacerbated by a retiring baby boomer workforce and massive infrastructure projects. Companies like JPMorgan Chase, Meta, and Lowe's are investing heavily in training programs. However, overcoming historical stigma and a "perception gap" around trade careers remains a key challenge to closing the talent gap.

marsbit53 min fa

From South Korea to the United States: Blue-Collar Jobs Are Becoming Increasingly Popular, Thanks to AI

marsbit53 min fa

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

Qualcomm reported its Q3 FY2026 results (ending June 2026), with revenue of $9.95B, down 4% YoY but above expectations. Gross margin declined to 53.1%, pressured by rising costs across manufacturing and memory. Key business segments showed mixed performance: Handset revenue fell 19.6% YoY to $5.09B, dragged by an 11% decline in non-Apple Android shipments and weaker high-end mix. Conversely, Automotive revenue surged 61% to $1.59B, and IoT grew 9% to $1.83B. Core operating profit dropped 41% YoY due to margin compression and higher expenses. Management's Q4 FY2026 guidance projects revenue of $9.7B-$10.5B, in line with consensus, but Non-GAAP EPS guidance of $2.05-$2.25 fell short of expectations. Amidst persistent weakness in its core handset market, Qualcomm is pursuing growth in AI, focusing on Edge AI (smartphones, PCs, automotive) and Data Center AI. Its data center strategy includes four pillars: AI accelerators (e.g., AI200), commercial CPUs (Dragonfly C1000), custom silicon, and connectivity solutions. While these initiatives initially boosted its stock, concerns over AI capital expenditure sustainability have since erased those gains. The company targets $5B in data center revenue for FY2027 and $15B for FY2029. The report concludes that with the traditional handset business still under pressure, the data center opportunity is currently viewed as a longer-term option, and a more conservative valuation based on core operations may be warranted until AI contributions materialize.

marsbit57 min fa

Qualcomm: AI Hype Subsides, When Will Smartphones Emerge from the Gloom?

marsbit57 min fa

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

At the 2026 YC Startup School, Jeff Dean outlined his vision for AI's next phase, shifting focus from simply scaling models to building intelligent, autonomous systems. He believes AI's progress is no longer just about creating smarter models, but about integrating them into systems capable of long-term, iterative work, automated experimentation, and continuous learning. This evolution moves the competition from "who has the bigger model" to "who can best organize intelligence." Dean suggests AI capabilities are now comparable to a junior engineer, enabling the automation of complex workflows. However, the true challenge and opportunity lie in managing these AI "workers" at scale. He emphasizes the importance of **context engineering**—structuring tools, memory, and feedback loops—over raw model power. For startups, this means building deep expertise in niche domains where general models currently fail (near 0-1% success rates), leveraging proprietary data, specialized tools, and domain-specific evaluators. A recurring theme is re-examining fundamental constraints. Dean's past work, like moving Google's search index to memory or creating the TPU, stemmed from questioning outdated assumptions about hardware and cost. He sees similar inflection points today, particularly in **specialized inference hardware** to drastically reduce latency and energy consumption for real-time Agent operation. Notably, he points out that in modern AI systems, the dominant cost is often not computation but **data movement**. Reliable, long-running Agents require robust system design, borrowing concepts from distributed computing like checkpointing, state management, and parallel exploration to handle failures and maintain progress over days or weeks. As AI automates execution, the scarcest human skills will shift to **defining clear specifications**, **judging what problems are worth solving** (taste), and designing effective feedback loops. Ultimately, Dean's framework prioritizes understanding the problem deeply, identifying the true bottlenecks, and systematically building closed-loop systems where AI can not only perform tasks but also improve AI itself.

marsbit57 min fa

From TPU to Self-Evolving Agents: How Jeff Dean Predicts the Next Step in AI

marsbit57 min fa

Trading

Spot
活动图片