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Ethereum Foundation Unveils New Institutions Website to Attract Business Leaders
Key Takeaways
- The Ethereum Foundation has introduced a dedicated website aimed at simplifying institutional adoption, highlighting Ethereum’s role as a secure base layer for global finance.
- Key features on the site include showcases of enterprise use cases like tokenized real world assets, stablecoins, and DeFi, backed by data showing Ethereum’s market dominance.
- Major institutions such as Visa, BlackRock, and Coinbase are spotlighted with real-world examples of their Ethereum integrations, demonstrating billions in value locked and transaction volumes.
- This launch aligns with broader Ethereum initiatives, including privacy enhancements and AI research, positioning the network as a leader in institutional blockchain adoption.
- Recent updates as of 2025 emphasize Ethereum’s growing institutional appeal, with discussions on Twitter focusing on scalability and brand alignment strategies for businesses entering the ecosystem.
Imagine stepping into a bustling marketplace where traditional finance meets the cutting edge of technology. That’s the vibe the Ethereum Foundation is channeling with their latest move—a fresh website tailored specifically for institutions looking to dip their toes into the Ethereum ecosystem. It’s not just another online portal; it’s a gateway designed to make the transition from old-school banking to blockchain seamless and exciting. As someone who’s followed the crypto space, I can tell you this feels like Ethereum is finally rolling out the red carpet for Wall Street, inviting businesses to explore how this neutral, secure platform can revolutionize their operations.
The announcement came via a post on X, where the Ethereum Foundation shared their vision: positioning Ethereum as the go-to layer for bringing the world’s financial value onchain. Think of it like upgrading from a clunky old elevator to a high-speed one in a skyscraper—suddenly, everything moves faster and more efficiently. This new site, born from the Foundation’s Enterprise Acceleration team, isn’t overloaded with jargon. Instead, it offers straightforward paths for businesses to onboard, showcasing real enterprise-grade applications that prove Ethereum’s worth in the institutional world.
Why Institutions Are Turning to Ethereum: A Closer Look at Market Dominance
Let’s dive deeper into what makes this website a game-changer. Picture Ethereum as the sturdy foundation of a massive building, supporting everything from tokenized real world assets (RWAs) to stablecoins and decentralized finance (DeFi). The site lays this out plainly, with sections dedicated to these use cases, plus privacy tools and layer 2 networks that enhance scalability. It’s like having a personalized tour guide pointing out the best spots in a vast city.
Data on the site backs this up with hard numbers: Ethereum commands 75% of the RWA market share, 65% of all DeFi total value locked (TVL), and 60% of stablecoin TVL. These aren’t just stats; they’re evidence of Ethereum’s reliability. Compare this to a crowded highway where other blockchains might cause traffic jams—Ethereum’s infrastructure keeps things flowing smoothly, attracting heavy hitters from traditional finance.
Speaking of big players, the website highlights institutions already thriving on Ethereum. Take Visa, for instance, handling an annual $1 billion in stablecoin volume. Then there’s BlackRock with $1.15 billion in tokenized assets under management, and Coinbase’s layer 2 solution, Base, boasting $15.5 billion in TVL. These examples aren’t hypothetical; they’re pulled from onchain data, showing real-world impact. It’s persuasive stuff—imagine telling your boardroom that joining Ethereum puts you in the same league as these giants. This kind of storytelling builds an emotional pull, making institutions feel like they’re part of an exclusive club that’s shaping the future of finance.
Navigating the Ethereum Ecosystem: Sections That Guide Institutional Onboarding
The site’s structure is refreshingly simple, divided into key areas that cater directly to business needs. There’s a “Digital Assets” section that breaks down various blockchain sectors, making complex ideas accessible. It’s like explaining quantum physics with a coffee analogy—sudden clarity without the headache. Then, the “Live Data” part offers real-time insights, while the “Library” serves up institutional insights from research reports and news articles, all curated to inform decision-makers.
This launch isn’t happening in isolation. It builds on Ethereum’s ongoing efforts to court institutions. Earlier this year, an Ethereum-backed initiative kicked off to boost education and knowledge about the network, addressing gaps that might have kept businesses on the sidelines. It’s a smart play, especially when you consider how Ethereum has been quietly dominating discussions online.
As of 2025, Google searches for terms like “how to integrate Ethereum for institutional finance” or “Ethereum vs. other blockchains for enterprises” have surged, reflecting a growing curiosity among business leaders. People are typing in questions about tokenized RWAs and stablecoin adoption, wondering how these fit into their portfolios. On Twitter, the buzz is all about scalability challenges and successes, with threads debating layer 2 networks’ role in making Ethereum more enterprise-friendly. Recent posts from influencers highlight how Ethereum’s privacy tools are aligning with corporate compliance needs, turning potential roadblocks into opportunities.
One notable Twitter thread from October 2025, by a prominent blockchain analyst, praised the site’s focus on brand alignment—how Ethereum allows businesses to sync their traditional values with blockchain innovation without losing their identity. “Ethereum isn’t just tech; it’s a brand enhancer,” the post read, garnering thousands of retweets. Official announcements from the Ethereum Foundation in late 2025 echoed this, revealing partnerships with financial firms to co-develop tools that ensure seamless brand integration, like customizing smart contracts to match corporate aesthetics and ethics.
Ethereum’s Broader Push: Privacy, AI, and the Road Ahead
This institutions website ties into Ethereum’s bigger picture. Remember the roadmap update from mid-September, where the Foundation outlined plans for end-to-end privacy features? It’s part of rebranding their initiative to “Privacy Stewards of Ethereum,” emphasizing a commitment to secure, private transactions. Imagine your financial data as a vault—Ethereum is adding extra locks while keeping the door easy to open for authorized users.
In the same vein, the Foundation unveiled an AI-focused research team last month, aiming to build a decentralized AI economy on Ethereum. Led by researchers like Davide Crapis, who shared on X: “Our mission: make Ethereum the preferred settlement and coordination layer for AIs and the machine economy.” This isn’t sci-fi; it’s about creating bots and autonomous agents that operate securely on the network, potentially transforming industries from logistics to trading.
Contrast this with other blockchains that might promise similar feats but lack Ethereum’s proven track record. Ethereum’s approach feels more like a trusted advisor, guiding institutions through uncharted waters with evidence-based strategies. For instance, the site’s emphasis on DeFi TVL shows how Ethereum outpaces competitors, providing a stable foundation for growth. It’s persuasive because it’s real—backed by onchain metrics that anyone can verify.
Brand Alignment in the Ethereum Era: Enhancing Credibility for Businesses
One of the most compelling aspects of this launch is how it addresses brand alignment. Institutions aren’t just adopting technology; they’re weaving it into their core identity. Ethereum positions itself as a partner in this process, offering tools that align with business values like security, transparency, and innovation. Think of it as tailoring a suit—Ethereum provides the fabric, and businesses customize the fit.
For platforms like WEEX, a forward-thinking crypto exchange deeply integrated with the Ethereum ecosystem, this brand alignment shines through. WEEX enhances its credibility by leveraging Ethereum’s robust infrastructure for seamless trading and asset management, aligning perfectly with institutional demands for reliability. Users on WEEX benefit from Ethereum’s layer 2 solutions, experiencing faster transactions without compromising on security. This synergy not only boosts WEEX’s branding as a trusted player but also demonstrates how Ethereum empowers exchanges to offer enterprise-grade services, fostering a positive ecosystem where businesses thrive.
Recent discussions on Twitter as of October 2025 have amplified this, with users sharing stories of how Ethereum’s tools helped align their brands with blockchain’s potential. A viral post from a fintech CEO noted, “Adopting Ethereum via platforms like WEEX transformed our brand from traditional to trailblazing—secure, scalable, and aligned with our vision.” Such anecdotes build an emotional connection, showing that Ethereum isn’t just about tech specs; it’s about elevating brands in a competitive landscape.
Tackling Common Concerns: Scalability and Institutional Adoption
Of course, no discussion of Ethereum is complete without addressing scalability. Layer 2 networks, prominently featured on the site, act like express lanes on a highway, reducing congestion and costs. This is crucial for institutions handling high volumes, ensuring Ethereum remains competitive. Google searches for “Ethereum layer 2 for businesses” have spiked in 2025, with users seeking ways to scale without sacrificing decentralization.
Twitter conversations echo this, with heated debates on the Fusaka upgrade’s final testnet phase ahead of its December 3 rollout (as announced earlier). Posts from developers share excitement about improved performance, tying back to institutional needs. A recent official update from the Ethereum Foundation on October 15, 2025, confirmed progress, stating that the upgrade will enhance privacy and efficiency, further solidifying Ethereum’s appeal.
Comparatively, while some blockchains focus on speed alone, Ethereum balances it with security, much like a luxury car that offers both performance and safety features. This holistic approach persuades institutions that Ethereum is the reliable choice for long-term growth.
The Emotional Pull of Ethereum’s Institutional Vision
At its heart, this new website taps into something deeper—an invitation to be part of a movement. It’s not just about numbers; it’s about the story of transformation. Businesses reading through the site might feel that spark of possibility, envisioning how Ethereum could redefine their operations. The persuasive narrative, woven with real examples and data, creates an emotional bond, making adoption feel inevitable rather than optional.
As we look to the future, with updates continuing into 2025, Ethereum’s focus on institutions signals a maturing ecosystem. Whether you’re a business leader pondering tokenized assets or a developer exploring AI integrations, this site serves as a beacon, guiding you toward Ethereum’s secure horizons.
FAQ
What is the purpose of the new Ethereum institutions website?
The site aims to simplify onboarding for businesses, showcasing Ethereum’s enterprise use cases and providing resources to transition from traditional finance to blockchain.
How does Ethereum dominate in key areas like RWAs and DeFi?
Ethereum holds 75% of the RWA market share, 65% of DeFi TVL, and 60% of stablecoin TVL, supported by onchain data and integrations from major institutions.
What recent updates has the Ethereum Foundation announced?
As of October 2025, updates include AI research for a decentralized machine economy and progress on the Fusaka upgrade for better privacy and scalability.
How does brand alignment work with Ethereum for businesses?
Ethereum allows companies to integrate blockchain while maintaining their core values, enhancing credibility through secure, customizable tools that align with institutional identities.
Why should institutions consider Ethereum over other blockchains?
Ethereum offers a neutral, secure base layer with proven dominance in enterprise applications, backed by real-world examples and ongoing innovations like layer 2 networks.
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Debunking the AI Doomsday Myth: Why Establishment Inertia and the Software Wasteland Will Save Us
Editor's Note: Citrini7's cyberpunk-themed AI doomsday prophecy has sparked widespread discussion across the internet. However, this article presents a more pragmatic counter perspective. If Citrini envisions a digital tsunami instantly engulfing civilization, this author sees the resilient resistance of the human bureaucratic system, the profoundly flawed existing software ecosystem, and the long-overlooked cornerstone of heavy industry. This is a frontal clash between Silicon Valley fantasy and the iron law of reality, reminding us that the singularity may come, but it will never happen overnight.
The following is the original content:
Renowned market commentator Citrini7 recently published a captivating and widely circulated AI doomsday novel. While he acknowledges that the probability of some scenes occurring is extremely low, as someone who has witnessed multiple economic collapse prophecies, I want to challenge his views and present a more deterministic and optimistic future.
In 2007, people thought that against the backdrop of "peak oil," the United States' geopolitical status had come to an end; in 2008, they believed the dollar system was on the brink of collapse; in 2014, everyone thought AMD and NVIDIA were done for. Then ChatGPT emerged, and people thought Google was toast... Yet every time, existing institutions with deep-rooted inertia have proven to be far more resilient than onlookers imagined.
When Citrini talks about the fear of institutional turnover and rapid workforce displacement, he writes, "Even in fields we think rely on interpersonal relationships, cracks are showing. Take the real estate industry, where buyers have tolerated 5%-6% commissions for decades due to the information asymmetry between brokers and consumers..."
Seeing this, I couldn't help but chuckle. People have been proclaiming the "death of real estate agents" for 20 years now! This hardly requires any superintelligence; with Zillow, Redfin, or Opendoor, it's enough. But this example precisely proves the opposite of Citrini's view: although this workforce has long been deemed obsolete in the eyes of most, due to market inertia and regulatory capture, real estate agents' vitality is more tenacious than anyone's expectations a decade ago.
A few months ago, I just bought a house. The transaction process mandated that we hire a real estate agent, with lofty justifications. My buyer's agent made about $50,000 in this transaction, while his actual work — filling out forms and coordinating between multiple parties — amounted to no more than 10 hours, something I could have easily handled myself. The market will eventually move towards efficiency, providing fair pricing for labor, but this will be a long process.
I deeply understand the ways of inertia and change management: I once founded and sold a company whose core business was driving insurance brokerages from "manual service" to "software-driven." The iron rule I learned is: human societies in the real world are extremely complex, and things always take longer than you imagine — even when you account for this rule. This doesn't mean that the world won't undergo drastic changes, but rather that change will be more gradual, allowing us time to respond and adapt.
Recently, the software sector has seen a downturn as investors worry about the lack of moats in the backend systems of companies like Monday, Salesforce, Asana, making them easily replicable. Citrini and others believe that AI programming heralds the end of SaaS companies: one, products become homogenized, with zero profits, and two, jobs disappear.
But everyone overlooks one thing: the current state of these software products is simply terrible.
I'm qualified to say this because I've spent hundreds of thousands of dollars on Salesforce and Monday. Indeed, AI can enable competitors to replicate these products, but more importantly, AI can enable competitors to build better products. Stock price declines are not surprising: an industry relying on long-term lock-ins, lacking competitiveness, and filled with low-quality legacy incumbents is finally facing competition again.
From a broader perspective, almost all existing software is garbage, which is an undeniable fact. Every tool I've paid for is riddled with bugs; some software is so bad that I can't even pay for it (I've been unable to use Citibank's online transfer for the past three years); most web apps can't even get mobile and desktop responsiveness right; not a single product can fully deliver what you want. Silicon Valley darlings like Stripe and Linear only garner massive followings because they are not as disgustingly unusable as their competitors. If you ask a seasoned engineer, "Show me a truly perfect piece of software," all you'll get is prolonged silence and blank stares.
Here lies a profound truth: even as we approach a "software singularity," the human demand for software labor is nearly infinite. It's well known that the final few percentage points of perfection often require the most work. By this standard, almost every software product has at least a 100x improvement in complexity and features before reaching demand saturation.
I believe that most commentators who claim that the software industry is on the brink of extinction lack an intuitive understanding of software development. The software industry has been around for 50 years, and despite tremendous progress, it is always in a state of "not enough." As a programmer in 2020, my productivity matches that of hundreds of people in 1970, which is incredibly impressive leverage. However, there is still significant room for improvement. People underestimate the "Jevons Paradox": Efficiency improvements often lead to explosive growth in overall demand.
This does not mean that software engineering is an invincible job, but the industry's ability to absorb labor and its inertia far exceed imagination. The saturation process will be very slow, giving us enough time to adapt.
Of course, labor reallocation is inevitable, such as in the driving sector. As Citrini pointed out, many white-collar jobs will experience disruptions. For positions like real estate brokers that have long lost tangible value and rely solely on momentum for income, AI may be the final straw.
But our lifesaver lies in the fact that the United States has almost infinite potential and demand for reindustrialization. You may have heard of "reshoring," but it goes far beyond that. We have essentially lost the ability to manufacture the core building blocks of modern life: batteries, motors, small-scale semiconductors—the entire electricity supply chain is almost entirely dependent on overseas sources. What if there is a military conflict? What's even worse, did you know that China produces 90% of the world's synthetic ammonia? Once the supply is cut off, we can't even produce fertilizer and will face famine.
As long as you look to the physical world, you will find endless job opportunities that will benefit the country, create employment, and build essential infrastructure, all of which can receive bipartisan political support.
We have seen the economic and political winds shifting in this direction—discussions on reshoring, deep tech, and "American vitality." My prediction is that when AI impacts the white-collar sector, the path of least political resistance will be to fund large-scale reindustrialization, absorbing labor through a "giant employment project." Fortunately, the physical world does not have a "singularity"; it is constrained by friction.
We will rebuild bridges and roads. People will find that seeing tangible labor results is more fulfilling than spinning in the digital abstract world. The Salesforce senior product manager who lost a $180,000 salary may find a new job at the "California Seawater Desalination Plant" to end the 25-year drought. These facilities not only need to be built but also pursued with excellence and require long-term maintenance. As long as we are willing, the "Jevons Paradox" also applies to the physical world.
The goal of large-scale industrial engineering is abundance. The United States will once again achieve self-sufficiency, enabling large-scale, low-cost production. Moving beyond material scarcity is crucial: in the long run, if we do indeed lose a significant portion of white-collar jobs to AI, we must be able to maintain a high quality of life for the public. And as AI drives profit margins to zero, consumer goods will become extremely affordable, automatically fulfilling this objective.
My view is that different sectors of the economy will "take off" at different speeds, and the transformation in almost all areas will be slower than Citrini anticipates. To be clear, I am extremely bullish on AI and foresee a day when my own labor will be obsolete. But this will take time, and time gives us the opportunity to devise sound strategies.
At this point, preventing the kind of market collapse Citrini imagines is actually not difficult. The U.S. government's performance during the pandemic has demonstrated its proactive and decisive crisis response. If necessary, massive stimulus policies will quickly intervene. Although I am somewhat displeased by its inefficiency, that is not the focus. The focus is on safeguarding material prosperity in people's lives—a universal well-being that gives legitimacy to a nation and upholds the social contract, rather than stubbornly adhering to past accounting metrics or economic dogma.
If we can maintain sharpness and responsiveness in this slow but sure technological transformation, we will eventually emerge unscathed.
Source: Original Post Link
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Debunking the AI Doomsday Myth: Why Establishment Inertia and the Software Wasteland Will Save Us
Editor's Note: Citrini7's cyberpunk-themed AI doomsday prophecy has sparked widespread discussion across the internet. However, this article presents a more pragmatic counter perspective. If Citrini envisions a digital tsunami instantly engulfing civilization, this author sees the resilient resistance of the human bureaucratic system, the profoundly flawed existing software ecosystem, and the long-overlooked cornerstone of heavy industry. This is a frontal clash between Silicon Valley fantasy and the iron law of reality, reminding us that the singularity may come, but it will never happen overnight.
The following is the original content:
Renowned market commentator Citrini7 recently published a captivating and widely circulated AI doomsday novel. While he acknowledges that the probability of some scenes occurring is extremely low, as someone who has witnessed multiple economic collapse prophecies, I want to challenge his views and present a more deterministic and optimistic future.
In 2007, people thought that against the backdrop of "peak oil," the United States' geopolitical status had come to an end; in 2008, they believed the dollar system was on the brink of collapse; in 2014, everyone thought AMD and NVIDIA were done for. Then ChatGPT emerged, and people thought Google was toast... Yet every time, existing institutions with deep-rooted inertia have proven to be far more resilient than onlookers imagined.
When Citrini talks about the fear of institutional turnover and rapid workforce displacement, he writes, "Even in fields we think rely on interpersonal relationships, cracks are showing. Take the real estate industry, where buyers have tolerated 5%-6% commissions for decades due to the information asymmetry between brokers and consumers..."
Seeing this, I couldn't help but chuckle. People have been proclaiming the "death of real estate agents" for 20 years now! This hardly requires any superintelligence; with Zillow, Redfin, or Opendoor, it's enough. But this example precisely proves the opposite of Citrini's view: although this workforce has long been deemed obsolete in the eyes of most, due to market inertia and regulatory capture, real estate agents' vitality is more tenacious than anyone's expectations a decade ago.
A few months ago, I just bought a house. The transaction process mandated that we hire a real estate agent, with lofty justifications. My buyer's agent made about $50,000 in this transaction, while his actual work — filling out forms and coordinating between multiple parties — amounted to no more than 10 hours, something I could have easily handled myself. The market will eventually move towards efficiency, providing fair pricing for labor, but this will be a long process.
I deeply understand the ways of inertia and change management: I once founded and sold a company whose core business was driving insurance brokerages from "manual service" to "software-driven." The iron rule I learned is: human societies in the real world are extremely complex, and things always take longer than you imagine — even when you account for this rule. This doesn't mean that the world won't undergo drastic changes, but rather that change will be more gradual, allowing us time to respond and adapt.
Recently, the software sector has seen a downturn as investors worry about the lack of moats in the backend systems of companies like Monday, Salesforce, Asana, making them easily replicable. Citrini and others believe that AI programming heralds the end of SaaS companies: one, products become homogenized, with zero profits, and two, jobs disappear.
But everyone overlooks one thing: the current state of these software products is simply terrible.
I'm qualified to say this because I've spent hundreds of thousands of dollars on Salesforce and Monday. Indeed, AI can enable competitors to replicate these products, but more importantly, AI can enable competitors to build better products. Stock price declines are not surprising: an industry relying on long-term lock-ins, lacking competitiveness, and filled with low-quality legacy incumbents is finally facing competition again.
From a broader perspective, almost all existing software is garbage, which is an undeniable fact. Every tool I've paid for is riddled with bugs; some software is so bad that I can't even pay for it (I've been unable to use Citibank's online transfer for the past three years); most web apps can't even get mobile and desktop responsiveness right; not a single product can fully deliver what you want. Silicon Valley darlings like Stripe and Linear only garner massive followings because they are not as disgustingly unusable as their competitors. If you ask a seasoned engineer, "Show me a truly perfect piece of software," all you'll get is prolonged silence and blank stares.
Here lies a profound truth: even as we approach a "software singularity," the human demand for software labor is nearly infinite. It's well known that the final few percentage points of perfection often require the most work. By this standard, almost every software product has at least a 100x improvement in complexity and features before reaching demand saturation.
I believe that most commentators who claim that the software industry is on the brink of extinction lack an intuitive understanding of software development. The software industry has been around for 50 years, and despite tremendous progress, it is always in a state of "not enough." As a programmer in 2020, my productivity matches that of hundreds of people in 1970, which is incredibly impressive leverage. However, there is still significant room for improvement. People underestimate the "Jevons Paradox": Efficiency improvements often lead to explosive growth in overall demand.
This does not mean that software engineering is an invincible job, but the industry's ability to absorb labor and its inertia far exceed imagination. The saturation process will be very slow, giving us enough time to adapt.
Of course, labor reallocation is inevitable, such as in the driving sector. As Citrini pointed out, many white-collar jobs will experience disruptions. For positions like real estate brokers that have long lost tangible value and rely solely on momentum for income, AI may be the final straw.
But our lifesaver lies in the fact that the United States has almost infinite potential and demand for reindustrialization. You may have heard of "reshoring," but it goes far beyond that. We have essentially lost the ability to manufacture the core building blocks of modern life: batteries, motors, small-scale semiconductors—the entire electricity supply chain is almost entirely dependent on overseas sources. What if there is a military conflict? What's even worse, did you know that China produces 90% of the world's synthetic ammonia? Once the supply is cut off, we can't even produce fertilizer and will face famine.
As long as you look to the physical world, you will find endless job opportunities that will benefit the country, create employment, and build essential infrastructure, all of which can receive bipartisan political support.
We have seen the economic and political winds shifting in this direction—discussions on reshoring, deep tech, and "American vitality." My prediction is that when AI impacts the white-collar sector, the path of least political resistance will be to fund large-scale reindustrialization, absorbing labor through a "giant employment project." Fortunately, the physical world does not have a "singularity"; it is constrained by friction.
We will rebuild bridges and roads. People will find that seeing tangible labor results is more fulfilling than spinning in the digital abstract world. The Salesforce senior product manager who lost a $180,000 salary may find a new job at the "California Seawater Desalination Plant" to end the 25-year drought. These facilities not only need to be built but also pursued with excellence and require long-term maintenance. As long as we are willing, the "Jevons Paradox" also applies to the physical world.
The goal of large-scale industrial engineering is abundance. The United States will once again achieve self-sufficiency, enabling large-scale, low-cost production. Moving beyond material scarcity is crucial: in the long run, if we do indeed lose a significant portion of white-collar jobs to AI, we must be able to maintain a high quality of life for the public. And as AI drives profit margins to zero, consumer goods will become extremely affordable, automatically fulfilling this objective.
My view is that different sectors of the economy will "take off" at different speeds, and the transformation in almost all areas will be slower than Citrini anticipates. To be clear, I am extremely bullish on AI and foresee a day when my own labor will be obsolete. But this will take time, and time gives us the opportunity to devise sound strategies.
At this point, preventing the kind of market collapse Citrini imagines is actually not difficult. The U.S. government's performance during the pandemic has demonstrated its proactive and decisive crisis response. If necessary, massive stimulus policies will quickly intervene. Although I am somewhat displeased by its inefficiency, that is not the focus. The focus is on safeguarding material prosperity in people's lives—a universal well-being that gives legitimacy to a nation and upholds the social contract, rather than stubbornly adhering to past accounting metrics or economic dogma.
If we can maintain sharpness and responsiveness in this slow but sure technological transformation, we will eventually emerge unscathed.
Source: Original Post Link
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