Market attention fixates on Pi Network ecosystem growth or a potential Ethereum rally setup. This focus on top crypto assets ignores an existential crisis consuming Ethereum’s core developers. As the network’s own foundation warns of a “global surveillance” future, what if transparency isn’t a feature, but a fatal flaw? That concern fuels Ethereum’s “Privacy Stewards” […] The post Zero Knowledge Proof (ZKP) Leads Top Crypto Assets with $100M Build While Ethereum & Pi Hit Roadblocks appeared first on Live Bitcoin News.Market attention fixates on Pi Network ecosystem growth or a potential Ethereum rally setup. This focus on top crypto assets ignores an existential crisis consuming Ethereum’s core developers. As the network’s own foundation warns of a “global surveillance” future, what if transparency isn’t a feature, but a fatal flaw? That concern fuels Ethereum’s “Privacy Stewards” […] The post Zero Knowledge Proof (ZKP) Leads Top Crypto Assets with $100M Build While Ethereum & Pi Hit Roadblocks appeared first on Live Bitcoin News.

Zero Knowledge Proof (ZKP) Leads Top Crypto Assets with $100M Build While Ethereum & Pi Hit Roadblocks

5 min read

Market attention fixates on Pi Network ecosystem growth or a potential Ethereum rally setup. This focus on top crypto assets ignores an existential crisis consuming Ethereum’s core developers. As the network’s own foundation warns of a “global surveillance” future, what if transparency isn’t a feature, but a fatal flaw?

That concern fuels Ethereum’s “Privacy Stewards” initiative, a belated attempt to retrofit confidentiality. It’s a scramble. Zero Knowledge Proof (ZKP) quietly preempted, investing $100 million in a privacy-first compute network before any presale. While Ethereum theorizes, Zero Knowledge Proof (ZKP) operates, with $17 million in hardware ready to validate private AI tasks once the project launches its presale. Institutional capital is now moving from remedial frameworks to operational ones.

Zero Knowledge Proof’s (ZKP) $100M Head Start Over Ethereum’s Privacy Stewards

Ethereum’s leadership is openly worried its network is becoming “global surveillance infrastructure.” This concern sparked the new “Privacy Stewards” team, a scramble to bolt privacy onto an architecture never designed for it. It’s a massive, reactive fix for a fundamental flaw. This situation underscores the core difference in Zero Knowledge Proof (ZKP), which was built privacy-first from its conception, backed by a $100 million development investment before any units were offered.

While Ethereum’s new cluster theorizes, Zero Knowledge Proof operates. It already has $17 million in “Proof Pod” hardware ready to ship once presale begins, validating private AI computations. This functional, day-one infrastructure is attracting the institutional capital that Ethereum warns it might lose. This readiness places it in a different class from top crypto assets, still struggling with their original transparent designs.

This proven system is now opening its doors. The Zero Knowledge Proof whitelist is open right now, ahead of its upcoming presale, which will enable daily on-chain auctions. Every 24 hours, 200 million ZKP crypto coins will be distributed proportionally among all contributors using ETH, USDC, BNB, or 21 other currencies. For those watching top crypto assets, this isn’t a roadmap promise; it’s access to a network that will be operational.

Focus on Pi Network Ecosystem Growth

The Pi Network ecosystem growth remains a primary focus for its massive community, which now counts over 47 million members. While still in its Enclosed Mainnet phase, development is pushing forward. This isn’t just about mining; it’s about building a functional economy before the network fully opens. Dozens of dApps are already in development, and a recent venture into AI, partnering with OpenMind, shows a new focus on using Pi’s vast node network for decentralized computing tasks.

This internal development is what keeps its users engaged. All eyes are on the next steps, especially the strategic move toward ISO 20022 compliance, a standard for global financial messaging. This, combined with the development of a Pi DEX and smart contract capabilities, signals a clear ambition. The Pi Network ecosystem growth is therefore not just about user numbers, but about a deliberate strategy to build utility and integrate with wider financial systems.

The Obstacles In Ethereum Rally Setup

Talk of an Ethereum rally setup is common, especially as the network dominates L2s and institutional adoption grows. But a serious technical debate is unfolding internally. Co-founder Vitalik Buterin is publicly calling to remove a feature he invented, the modexp precompile. He argues it’s “ZK-unfriendly” and creates massive bottlenecks, slowing down the very L2s and ZK-proofs that Ethereum needs to scale. This is a significant admission that a core piece of the network is actively hindering its own future.

This technical restructuring is happening as the Ethereum Foundation launches its “Privacy Stewards” cluster, a clear sign that they are racing to solve fundamental privacy and scaling issues. While the market looks for the next Ethereum rally setup, the network’s own developers are focused on these deep-seated challenges. This shows a network in heavy transition, actively working to overcome its own limitations. How quickly it can fix these core problems is the genuine question for its long-term success.

What the Analysis Reveals About Top Crypto Assets

While Pi Network ecosystem growth focuses on internal utility and an Ethereum rally setup depends on complex technical fixes, both show major platforms in transition. They represent the current market’s focus, one on community building and the other on deep-seated architectural reform. This context makes the Zero Knowledge Proof (ZKP) model stand out.

It sidestepped the privacy crisis that Ethereum’s “Privacy Stewards” are now rushing to solve. By investing $100 million to build a privacy-first network before the presale launches, the ZKP crypto offers a ready solution, not a future promise. For those tracking top crypto assets, this “build-first” approach is a fundamental, tangible difference.

Find Out More about Zero Knowledge Proof: 

Website: https://zkp.com/

Disclaimer: This is a paid post and should not be treated as news/advice. LiveBitcoinNews is not responsible for any loss or damage resulting from the content, products, or services referenced in this press release.

The post Zero Knowledge Proof (ZKP) Leads Top Crypto Assets with $100M Build While Ethereum & Pi Hit Roadblocks appeared first on Live Bitcoin News.

Market Opportunity
zkPass Logo
zkPass Price(ZKP)
$0,07968
$0,07968$0,07968
-1,42%
USD
zkPass (ZKP) Live Price Chart
Disclaimer: The articles reposted on this site are sourced from public platforms and are provided for informational purposes only. They do not necessarily reflect the views of MEXC. All rights remain with the original authors. If you believe any content infringes on third-party rights, please contact [email protected] for removal. MEXC makes no guarantees regarding the accuracy, completeness, or timeliness of the content and is not responsible for any actions taken based on the information provided. The content does not constitute financial, legal, or other professional advice, nor should it be considered a recommendation or endorsement by MEXC.

You May Also Like

Top NYC Book Publishing Companies

Top NYC Book Publishing Companies

New York City has been the epicenter of American publishing for generations, but “NYC publishing” isn’t just one lane. Today’s landscape includes two very different
Share
Techbullion2026/02/06 14:02
Sensorion Announces its Participation in the Association for Research in Otolaryngology ARO 49th Annual Midwinter Meeting

Sensorion Announces its Participation in the Association for Research in Otolaryngology ARO 49th Annual Midwinter Meeting

MONTPELLIER, France–(BUSINESS WIRE)–Regulatory News: Sensorion (FR0012596468 – ALSEN) a pioneering clinical-stage biotechnology company which specializes in the
Share
AI Journal2026/02/06 14:45
AI Crypto Trading Secrets: What They Won’t Tell You About Profits and Pitfalls|9-Figure Media

AI Crypto Trading Secrets: What They Won’t Tell You About Profits and Pitfalls|9-Figure Media

AI crypto trading is everywhere, and every YouTube guru claims their bot mints money while they sleep. Sounds dreamy, right? However, most don’t discuss the full story, the wild profits possible, and the lurking pitfalls. As someone obsessed with the intersection of artificial intelligence and digital assets, let me pull back the curtain on the realities of algorithmic trading in the crypto jungle. Here’s what nobody tells you: 87% of retail traders using automated systems lose money within their first year. The marketing materials show cherry-picked results. The testimonials come from paid affiliates. But here’s the twist. The remaining 13% who succeed aren’t just lucky. They understand something the majority misses entirely. The Reality Behind the Hype The crypto world loves success stories. You’ve probably seen them. “I made $50,000 in three months using this bot.” What they don’t mention? The $200,000 they lost by testing seventeen other systems first. Real talk: most trading algorithms fail because they’re built for perfect market conditions. Crypto markets are anything but perfect. Think about it like this. Would you trust a Formula 1 car to handle rush hour traffic? That’s essentially what most people do with their trading bots. Why Smart Money Uses Crypto AI Tools Differently Professional traders approach crypto AI tools with surgical precision. They don’t expect miracles. They expect consistent, measured results. The difference lies in understanding what these tools actually do well: • Risk management automation • Pattern recognition at scale • Emotional bias elimination • 24/7 market monitoring • Portfolio rebalancing Notice what’s missing from that list? Get-rich-quick schemes. The smartest crypto AI tools focus on protecting capital first. Profits come second. This mindset separates winners from losers. Here’s something interesting. 9-figure media companies track these patterns religiously. They know which crypto AI tools produce sustainable results versus flashy short-term gains. Professional traders using crypto AI tools typically target 15–25% annual returns. Not 500% monthly moonshots. The Startup Connection Most People Ignore AI for startups isn’t just about building the next ChatGPT. Many successful companies use AI to optimize their crypto treasury management. Smart startups integrate crypto AI tools into their financial operations early. They automate routine decisions. They reduce human error. They scale their trading operations without hiring armies of analysts. But here’s where it gets interesting. The best AI for startup applications in crypto aren’t the obvious ones. Consider automated tax reporting. Or real-time compliance monitoring. Or treasury optimization across multiple blockchains. These unsexy applications generate more consistent profits than flashy trading algorithms. AI for startups in the crypto space succeeds when it solves boring problems efficiently. Not when it promises unrealistic returns. The most successful AI for startups implementations focus on operational efficiency. They reduce costs. They minimize risks. They free up human resources for strategic decisions. Learning from Top AI Start-Ups Top AI start-ups in the crypto space share common characteristics. They prioritize transparency over marketing hype. Look at successful top AI start-ups like Chainalysis or Elliptic. They don’t promise easy money. They provide essential infrastructure. The best top AI start-ups focus on solving real problems: • Market data analysis • Security monitoring • Regulatory compliance • Portfolio analytics • Risk assessment These top AI start-ups understand something crucial. Sustainable businesses solve actual problems. They don’t just ride hype cycles. 9-figure media outlets consistently highlight these fundamental companies. They ignore the noise. They focus on substance. Many top AI start-ups actually discourage retail trading. They know the odds. They’ve seen the casualties. Instead, successful top AI start-ups build tools for institutions. Banks. Hedge funds. Companies with proper risk management systems. The Hidden Costs Nobody Discusses Using crypto AI tools costs more than subscription fees. Much more. First, there’s the learning curve. Most people spend months figuring out proper settings. During this time, they’re paying tuition to the market. Second, there’s infrastructure. Reliable crypto AI tools require stable internet, backup systems, and proper security measures. Third, there’s opportunity cost. Time spent tweaking algorithms could be spent learning fundamental analysis. The real cost? Most people using crypto AI tools trade more frequently. Increased trading usually means increased losses. Think about 9-figure media companies again. They understand that technology amplifies existing skills. It doesn’t replace them. Smart Implementation Strategies Successful crypto AI tools users follow specific patterns: • Start with paper trading • Use position sizing rules • Set strict stop losses • Monitor performance weekly • Adjust strategies quarterly They treat crypto AI tools like any other business tool. With respect. With caution. With realistic expectations, startup applications work similarly. They augment human decision-making. They don’t replace it. The most successful AI for startups implementations in crypto involve human oversight at every level. Algorithms suggest. Humans decide. What Actually Works Here’s what separates successful crypto AI tools users from everyone else: They focus on consistency over home runs. They understand that small, regular gains compound better than occasional big wins followed by devastating losses. They apply AI principles to their approach for startups. They iterate quickly. They fail fast. They learn constantly. They study top AI start-ups for inspiration. But they don’t try to replicate their exact strategies. Most importantly, they never risk money they can’t afford to lose. The crypto market will humble anyone. AI doesn’t change this fundamental truth. Your success with crypto AI tools depends more on your discipline than the sophistication of your algorithms. Remember: the house always has an edge. Your job is to find where that edge doesn’t apply. That’s the secret they won’t tell you. AI Crypto Trading Secrets: What They Won’t Tell You About Profits and Pitfalls|9-Figure Media was originally published in Coinmonks on Medium, where people are continuing the conversation by highlighting and responding to this story
Share
Medium2025/09/18 23:20