[ETH] ETHPoW May not Success Due to These Causes

GrayscaleОпубліковано о 2022-08-18Востаннє оновлено о 2022-08-23

Анотація

An ETHW fork will face significant challenges due to the complexity of DeFi and proliferation of asset-backed tokens.

Background

Ethereum is scheduled to merge to Proof of Stake (PoS)1 on September 15, 2022, and as expected, this has caused speculation around the emergence of a Proof of Work (POW)2 Ethereum (ETHW) fork. While there is precedent for an Ethereum fork3, we’ll explore why it may not be viable this time around and what it could mean for both Ethereum (ETH) and Ethereum Classic (ETC).

Ethereum Classic was born in 2016 after a bug in the code underlying a nascent Decentralized Autonomous Organization, known as “the DAO”, was exploited to allow a hacker to steal more than 3.6 million ETH. While the majority of the community was in favor of a hard fork to amend the network’s transactional record to nullify the attacker’s actions, a subset believed that there should not be any modification to the chain state. The forked version of the network became the Ethereum chain we have today, and the subset of users against the fork continued to host the version of the network in which the DAO’s attacker succeeded, now known as Ethereum Classic.

Since then, Ethereum has developed a robust on-chain ecosystem of decentralized applications (dApps) and users, while Ethereum Classic has largely remained a store-of-value asset. Despite the differences, Ethereum Classic presents a clean-slate, proof of work variant of the Ethereum network that users, developers, and miners could seamlessly transition to should the Ethereum merge result in a hard fork.

In March 2022, news began to spread of Ethereum miners considering a transition to Ethereum Classic, sending the price of ETC up 103% in 11 days. Despite speculation around a new ETHW fork after the merge, ETC rallied again, gaining more than 198%4 since July 12. Speculation around the merge has made ETC one of the best performing cryptocurrencies of 2022, up 18% YTD, while others like Bitcoin (BTC) and Ethereum (ETH) have shed nearly 50% of their value.

Source: TradingView as of 8/15/2022

Historically, forked assets have been quite profitable, and many of the top tokens by market cap started as forks of Bitcoin and Ethereum. For example, in July 2016 when Ethereum (ETH) forked into ETH and ETC, anyone who held tokens on the original blockchain at the time instantly came into possession of an equivalent amount of the new one. By the end of the year, ETC was the 6th largest coin by market cap at $124 million compared to $697 million for ETH. Today5, Ethereum Classic (ETC) is the 19th largest coin by market cap worth more than $5.6 billion.

Despite a precedent for forks creating value in the past, we’ll explore why this may not be a viable solution to creating a POW

Ethereum is More Than Just Currency

It’s important to distinguish between the Ethereum ecosystem of 2016 (when the network first forked into ETH and ETC) and the far more developed on-chain ecosystem of Ethereum protocols, dApps, and tokens that users experience and interact with today. A PoW fork of the current Ethereum network will bring duplicate instances of all of these tokens, which could present meaningful challenges to developers and market participants. In fact, the sheer complexity of DeFi and the number of asset-backed tokens locked in DeFi protocols poses a catastrophic risk to the price of ETHW due to on-chain positions attempting to be liquidated.

To contextualize how much higher the stakes are today, let’s look at a key element of the Ethereum ecosystem: stablecoins. In 2016, when Ethereum Classic was forked, stablecoins were only beginning to gain traction. In June of that year, the market cap of Tether (USDT) compared to Ethereum (ETH) was just .65%, compared to 28.34%6 at the time of writing.

Source: CoinMetrics, CoinGecko as of 8/15/2022

Tether and other stablecoin issuers, like Circle (USDC), have stated that only the tokens on the PoS network will be redeemable post-fork. This means all of the variants on ETHW are likely to become worthless, in addition to other “asset-backed tokens,” like wrapped Bitcoin (wBTC) and staked ETH (stETH).

Some of the major use-cases for asset-backed tokens are collateral for loans, providing liquidity, facilitating leveraged trading, and other DeFi applications. In 2016, this ecosystem was effectively non-existent. Today, DeFi on Ethereum consists of more than 530 protocols7 with nearly $40 billion8 of value locked in the smart contracts. Currently, over $25 billion in asset-backed tokens are locked in smart contracts. If the ETHW fork goes live, users of these protocols may attempt to liquidate positions leveraged against formerly-asset-backed tokens into ETHW tokens, while ETH holders simultaneously rush to sell the free ETHW tokens they’ve received for dollars or ETH on centralized exchanges. As a result, we will likely see disproportionate selling pressure on the forked asset.

Source: CoinMetrics as of 8/15/2022

So far, the speculative markets that have emerged for ETHW have not reflected strong support for the fork. The price of ETHW could be considered a proxy for how much support the potential fork may have, which has been trending down since trading of ETH IOU’s began when Poloniex launched support on August 10. ETHW traded at a peak of .08 ETH before continuing a steady down trend to .03 ETH9. While there may be a possibility of short-term relief rallies, the price of ETHW indicates that the support may be driven by speculation rather than true perceived value of the asset. While ETHW has declined more than 50% since launch, ETC has gained ~9% during the same period.

Source: CoinGecko (Ethereum POW on Poloniex) as of 8/15/2022

Unnecessary Complexity for Protocol Teams

An ETHW fork could bring new operational issues for many Ethereum-based protocols, in addition to the non-redeemable asset-backed tokens on the ETHW chain losing value. When the token holders of a protocol vote to deploy on a new blockchain, the circulating supply of the protocol tokens does not change to prevent dilution of value and utility. However, on a PoW fork, the protocol will be duplicated, as will any native tokens. This means they may be likely to trade at a different price than their counterparts on the PoS chain.

As a result, protocols will need to determine how to manage the value tokens held by duplicate treasuries, duplicate tokens, NFT ownership, and more. How will governance rights be consolidated? Could somebody buy the cheaper variant and still have the same amount of voting power? Will duplicate tokens in protocol treasuries be held or sold? Protocol teams may find it much simpler to deploy a fresh instance of the protocol on Ethereum Classic without any issues of token variants.

The Bull Case for Ethereum Classic

The success of an ETHW fork will require not only users, capital, and development work, but also strong support from existing blockchain infrastructure. Major exchanges and DeFi protocols are already making decisions about support for ETHW tokens, though these do not necessarily indicate a preference or endorsement of the ETHW technology.

Now that a potential ETHW fork is gaining traction, miners may play an even more critical role. Post-merge, miners will no longer be able to earn rewards from the Ethereum network and will be looking to divert their resources to a new network. With approximately one month left until the anticipated merge, there is still no documentation or expected timeline for how miners will need to adjust their machines and software to mine the ETHW chain. Meanwhile, Ethereum Classic is fully documented and operationally ready to absorb the hashrate currently mining Ethereum.

Regardless of the success of an ETHW fork, Ethereum Classic will still continue operating as normal. Supporters of continuing a Proof of Work version of Ethereum may find that the complexity of an ETHW fork may not be worth the effort when a stable version of the network exists in Ethereum Classic. While users may be drawn in by the promise of free tokens, the ability to liquidate ETHW tokens for dollars will likely be short-lived as liquidity dries up on exchanges. Once there is no more value left to extract, it is unlikely that users will continue supporting the ecosystem.

Conclusion

An ETHW fork will face significant challenges due to the complexity of DeFi and proliferation of asset-backed tokens. While chances of success are expected to be low, some support for a PoW fork has emerged from miners and exchanges. So far, speculation on the ETHW token has sent the price in a steady decline of more than 50% in value since launch, while the price of ETC has increased in value by approximately 9%.

In addition to declining interest in the ETHW token, major Ethereum protocols and participants, such as Tether and Circle, have signaled support for ETH PoS as the canonical chain – a significant sign of support as the two companies are responsible for nearly $12010 billion in on-chain asset-backed tokens. Should protocols find that token holders do want a variation of the protocol on a PoW variant of Ethereum, it is likely that they will have a preference towards ETC rather than navigating the complexity of the on-chain ecosystem duplicated on ETHW.

Пов'язані матеріали

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

In three days, Google lost two AI legends. On June 18, Noam Shazeer, co-author of the seminal "Attention is All You Need" paper and Gemini co-lead, left for OpenAI. Just 48 hours later, John Jumper, 2024 Nobel laureate and AlphaFold lead, departed DeepMind for Anthropic. This follows Andrej Karpathy joining Anthropic in May. These moves highlight a structural trend: top AI talent is concentrating at mission-driven, pre-IPO firms like OpenAI and Anthropic, while Google becomes a primary source. The exodus stems from a core mission mismatch. Google's ad-centric model often subordinates AI research to product and revenue goals, creating friction for pioneers like Shazeer, who returned in 2024 only to leave again. In contrast, OpenAI and Anthropic offer singular focus on pushing AI boundaries, whether towards AGI or safety-aligned models, which deeply appeals to top researchers like Jumper. Financial incentives amplify the pull. With both OpenAI and Anthropic nearing IPO, employees stand to gain immensely from equity, an upside Google's mature stock cannot match. Furthermore, the 2023 merger of Google Brain and DeepMind, intended to consolidate strength, has instead created cultural tension and slowed the path from research to product, as evidenced by Gemini's pace. This talent redistribution is reshaping the AI landscape. While Google retains vast data and compute resources, its true crisis is the quiet, continuous loss of the people who define the field's future. The real moat in AI is not infrastructure, but the concentration of brilliant minds—a battle Google is currently losing.

marsbit50 хв тому

Two Legends Lost in Three Days: Is Google's AI Talent Dam Cracking?

marsbit50 хв тому

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

Beyond the familiar performance charts like MMLU-Pro and MMMU, which major AI models strive to ace, stands a key "examiner": Chinese-Canadian researcher Wenhu Chen. An assistant professor at the University of Waterloo and founder of TIGERLab, Chen addresses the crucial need for more rigorous AI evaluation. As models like GPT-4 began scoring near-perfect results on older benchmarks like MMLU, it became difficult to distinguish their true capabilities. In response, Chen introduced MMLU-Pro in 2024, featuring harder, more reasoning-focused questions with more answer choices, successfully reintroducing meaningful performance gaps. His work extends to multi-modal evaluation with MMMU and its enhanced version, MMMU-Pro. These benchmarks test a model's ability to understand and reason with complex information from images, charts, and text across diverse academic subjects, exposing the significant challenges even top models face in genuine comprehension. Chen's background in complex QA, table reasoning, and his experience at Google DeepMind on projects like Gemini inform his approach. He understands that effective benchmarks must anticipate how models might "cheat" by memorizing data or avoiding visual analysis. His lab also actively researches video understanding and generation models (e.g., UniVideo, Vamba), ensuring his evaluation work is grounded in practical model-building challenges. Now at Meta's Super Intelligence Lab, Chen continues his focus on multi-modal data and evaluation, representing the deep yet often unseen contributions of Chinese talent in shaping the fundamental tools of the AI industry.

marsbit1 год тому

Behind the AI Report Card, Lies a Chinese 'Exam Setter'

marsbit1 год тому

Alliance Co-founder's Letter to Entrepreneurs: Written at the Moment Cursor Sold for $600 Billion

Alliance Co-founder's Letter to Entrepreneurs: On Cursor's $60 Billion Sale Many aspiring founders see massive exits like Cursor's $60B sale and wonder why they can't achieve the same, often concluding opportunities are exhausted. But great companies aren't built in obvious, crowded spaces. Cursor, like Stripe, Figma, and Shopify before it, started with a non-consensus belief about the future. Before ChatGPT, they believed AI would transform knowledge work. They focused on a genuinely exciting domain, became their own customer, and obsessed over power users. Their journey involved years of "glass-chewing" effort before the market was ready. The pattern is consistent: identify a long-term technological shift, find a missed entry point, and execute for years before the trend becomes obvious. First-generation products (PayPal, Adobe, Amazon) prove a market exists. Second-generation winners (Stripe, Figma, Shopify) rebuild that market around new insights, technology, or changing customer behaviors. Founders must identify their phase in the cycle. Early entrants like Coinbase or Cursor focus on making new technology usable for power users. Later entrants find the "yin" to the established "yang"—the blind spots incumbents miss as they grow distant from individual users. The key is deep market immersion. Use every product in your space. Talk to users. Build an audience. Stop looking for ideas and start *seeing* them everywhere. Then, choose one. The idea must offer a 10x improvement or solve a "hair-on-fire" pain point—something severe enough that users are already crafting workarounds. When building, avoid feature bloat. Ask: why would someone switch? Great startups rarely force new behaviors; they improve familiar workflows with drastically lower friction (e.g., Cursor forked VS Code instead of creating a new editor). Distribution is the underestimated moat. Before product-market fit, achieve distribution-market fit. How do customers discover new tools? Founders like those at Airbnb, Stripe, and Cursor did unscalable, manual work to recruit early users. The final, unteachable ingredient is resilience. Cursor built for years pre-market, faced rejection, and persisted. So did Airbnb, Nvidia, and Rain (which launched post-FTX collapse). The lesson isn't that these founders were smarter, but that they stayed in the game long enough for their insights to compound. Framework: Spot technological cycles. Cultivate unique insight. Obsess over your market. Talk to customers. Find a hair-on-fire problem. Build the simplest wedge. Win your distribution channel. Above all, don't quit when it gets hard. Most people won't do these things consistently. The few who do build the next generation of great companies. Go build.

marsbit1 год тому

Alliance Co-founder's Letter to Entrepreneurs: Written at the Moment Cursor Sold for $600 Billion

marsbit1 год тому

Weekly Editor's Picks (0613-0619)

Weekly Editor's Picks (0613-0619): Market Insights & Analysis This weekly digest curates in-depth analysis often lost in the information flow, focusing on key insights across macro trends, investment, and technology. **Macro & Geopolitics:** With the Strait of Hormuz reopening and military conflict shifting to negotiation, markets are pivoting from "war shock" to "supply restoration." Trades include shorting crude risk premiums, longing airlines/tourism, Asian energy importers, and bond duration, while shorting inflation expectations. LNG, fertilizer, and chemical chains are also being repriced. **Investment & VC:** Ray Dalio advises against betting on concentrated AI giants dominating indices, advocating for diversified portfolios of high-quality, low-correlation assets instead. Analysis covers the 4-year crypto cycle, predicting the core surviving product by 2029 will be asset trading markets. Current BTC metrics suggest a potential bottoming zone, presenting a patient accumulation window. SpaceX's high-profile IPO at a $2.1T valuation faces scrutiny over fundamentals, with key watchpoints being its likely inclusion in the Nasdaq index and Q2 earnings. Concerns are raised about potential "gamma squeeze" and systemic risks if its narrative-driven valuation gets amplified by passive index funds. Robinhood (HOOD) is noted for breaking its high correlation with crypto, bolstered by its stock trading and new underwriting business. **Web3 & AI:** A warning highlights ~$1.8T in off-balance-sheet AI infrastructure commitments (purchase commitments, leases) as a potential systemic risk if AI monetization lags. AI models are being used for World Cup predictions, adding a new layer for betting markets. A cost breakdown of a $20 AI subscription reveals the supply chain from model companies to cloud, GPUs, and power. **Prediction Markets:** The emergence of prediction market "concept stocks" is noted, with Robinhood developing its own platform, Rothera, signaling a shift from market competition to a "channel war" for user access. **CeFi & DeFi:** The SpaceX IPO tested perpetual contract mechanisms for pre-IPO assets, highlighting challenges in handling corporate actions like stock splits on-chain. The de-pegging of STRC (Strategy's preferred share) to ~$89 reflects market concerns over MicroStrategy's capital structure and BTC-backed leverage model. BlackRock's covered-call Bitcoin ETF (BITA) offers yield but caps upside, appealing to yield-seeking institutions. **Ethereum:** An opinion piece argues Ethereum's core strength is its vast developer community and composability, solidifying its role as the default operating system for the financial internet. **Weekly Hot Topics:** Include the US-Iran deal reopening the Strait of Hormuz, Fed's hawkish hold, Anthropic restricting model access, SpaceX acquiring Cursor, and a humorous stock surge for "Liuliumei" due to its "LLM" ticker.

marsbit1 год тому

Weekly Editor's Picks (0613-0619)

marsbit1 год тому

Alliance's Co-Founder's Letter to Entrepreneurs: Written on the Occasion of Cursor's $60 Billion Sale

In this letter to entrepreneurs, Alliance reflects on the success of Cursor's $60 billion sale to Elon Musk, using it as a case study to counter the misconception that opportunities in crowded fields like AI or crypto are exhausted. The piece argues that great companies like Cursor, Stripe, Figma, and Shopify are not built by geniuses with perfect ideas, but by founders who start with a non-consensus belief about the future and build for years before that future becomes obvious to everyone. They identify long-term shifts, find overlooked entry points, and execute relentlessly. The framework for success involves: 1. **Identifying your place in the technology cycle**: Early-stage opportunities focus on making new tech usable for power users (e.g., Coinbase, Cursor). Later-stage opportunities involve finding the "yin" to an existing "yang"—the blind spots of first-generation players (e.g., Stripe vs. PayPal, Figma vs. Adobe). 2. **Cultivating unique insights**: Immerse yourself deeply in the market. Use every product, talk to users, and build an audience. Insights will emerge naturally from deep engagement. 3. **Finding a "hair-on-fire" problem**: Look for a 10x improvement or a severe, urgent pain point. The strongest signal is people already building clumsy workarounds. 4. **Building a focused MVP**: Don't just add features because you can. Ask why users would abandon their current tool for yours. The best startups rarely force new behaviors; they improve familiar workflows with drastically lower friction. 5. **Winning a distribution channel**: Distribution is often the moat. Before product-market fit, achieve channel-market fit. Find where your customers are and build an engine to reach them, even through unscalable, manual efforts initially. 6. **Persistence**: The final, unteachable ingredient is resilience. Success stories like Cursor, Airbnb, and Nvidia involved years of grinding, rejection, and perseverance when the path forward seemed unclear. The conclusion is that there is no secret. Most people fail to consistently execute these steps over the long term. The few who do build the companies that define the next era. The world is yours to create.

链捕手1 год тому

Alliance's Co-Founder's Letter to Entrepreneurs: Written on the Occasion of Cursor's $60 Billion Sale

链捕手1 год тому

Торгівля

Спот
Ф'ючерси
活动图片