Ethereum Merge: The Past, The Present, And The Future

BitcoinistPublicado em 2022-08-04Última atualização em 2022-08-04

Resumo

The anticipation around the Ethereum Merge has continued to build up. While nothing is set in stone, it does seem...

The anticipation around the Ethereum Merge has continued to build up. While nothing is set in stone, it does seem likely that the Merge will happen according to the most recent schedule put out by the developers. This air of certainty has influenced the market greatly, and the price of the digital assets has responded in kind. As the market moves closer to the Merge, we take a look at the journey that has brought the network to where it is now and where it is headed.
The Journey So Far
Presently, everyone is so focused on the upcoming Merge, and it is not a stretch to say that a lot of the newer investors in the space do not understand what the Merge is or how it started. All that is being said about it is how the staked ETH will be finally released to the owners. However, like any important network upgrade, the Merge has been a long time coming and has seen some monumental things happen along the way.
The very first introduction to the network was with the Beacon chain launch back in 2020. This kickstarted the whole process. After this, several hard forks followed, each more important than the last.
The first would be the Berlin hard fork which took place in April of 2021 following the launch of the Beacon chain. The Altair hard fork was the next in line, happening in August, serving as the first major update to the Beacon chain.
London would follow shortly after in August 2021, and with it came the EIP-1559 fee model. The ETH burn started with this upgrade and has changed the way miners are rewarded for mining blocks on the network. It has also cut the ETH issuance by about 30% after being implemented.

Ethereum Merge


Future of ETH network | Source: Arcane Research
The Future Of Ethereum
The Ethereum Merge is now closer than it has ever been. After the London hard fork, the lack of any ‘progress’ in the following months would begin to worry investors, sparking speculations that there would be yet another delay with the Merge, but this has not been the case.
The Merge is expected to happen in September. However, contrary to all of the anticipation that is circling the market, it is not the final step of what founder Vitalik Buterin has in store for the network. 2023 will be just as packed as the previous years, given the further upgrades expected.

Ethereum price chart from TradingView.com


ETH price trending below $1,700 | Source: ETHUSD on TradingView.com
An example is the Surge that is scheduled to happen in 2023. This would actually be when the increased scalability part of the move to the Consensus mechanism comes into place, and it will happen through the implementation of sharing. The Verge will optimize data storage on the network using Verkle trees, and it is also expected to take place sometime in 2023, but there is no definitive timeframe for it yet.
Other important upgrades will be the Purge and the Splurge, which remove historical data and bad debt, in the case of the Purge. The Splurge will be a number of smaller upgrades but no doubt important to the network.

Leituras Relacionadas

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

NVIDIA is set to launch its new Vera AI data center CPU in China as early as August, with high pricing. While this move offers a new option, it highlights China's continued dependence on foreign-controlled Arm architecture. In response, the Chinese semiconductor industry is increasingly turning to RISC-V as a strategic alternative for achieving high-performance computing autonomy. The article explores the concept of the "impossible triangle" in CPU development—balancing prosperity, control, and autonomy—and posits that RISC-V's open-source, modular nature offers a unique path to achieving all three. While RISC-V is already dominant in embedded systems, the focus is now shifting to data centers and AI workloads. China has become a global hotspot for RISC-V development, driven by AI-driven compute demand, supply chain concerns from export controls, cost benefits of open-source, and strong policy support. Multiple Chinese companies have reportedly crossed the key performance threshold of 15 SPECint per GHz, a benchmark for entering the high-performance CPU club. Progress extends beyond single-core benchmarks. Companies are developing complete computing subsystems, including commercial-grade coherent network-on-chip (NoC) technology and server processors with up to 40 cores that strictly adhere to the RVA23 standard to ensure software compatibility. Real-world applications are emerging in areas like video transcoding and edge AI. However, significant challenges remain. The RISC-V ecosystem faces fragmentation, immature toolchains and verification processes, and gaps in single-core performance and energy efficiency compared to mature x86 and Arm architectures. The formidable software moat, epitomized by NVIDIA's CUDA, is a long-term hurdle. In conclusion, while RISC-V cannot immediately replace offerings like NVIDIA's Vera, it represents a viable long-term path for China to develop a self-sufficient, high-performance CPU ecosystem. The journey is acknowledged to be long and arduous, requiring sustained effort to overcome technical and ecosystem challenges.

marsbitHá 5h

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

marsbitHá 5h

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

The author built a custom monitoring dashboard for Polymarket, a prediction market platform, and tested it with $1,600, achieving over 30% returns. However, the core argument is that Polymarket is not a good venue for traditional arbitrage. The dashboard has two main sections: a "Portfolio Dashboard" for tracking active positions with key metrics like total capital, P&L, and a risk-control module using a tier system (T1, T2, T3), and an "Opportunity Watchlist" for monitoring markets. The article details a critical structural trap in binary markets: a bet with a high perceived probability of success still carries a 100% loss risk if wrong. The author's T1/T2/T3 system is designed to manage this by limiting position sizes based on conviction and time horizon, emphasizing that high confidence should not equal high concentration. A key insight is the danger of "pseudo-diversification"—betting on different markets driven by the same underlying variable. The author concludes that Polymarket offers few true low-risk, arbitrage opportunities. It is instead a high-risk environment where wins can create a false sense of mastery, leading to large losses. The platform is better viewed as a training ground for honing judgment through disciplined, framework-driven betting rather than a reliable income source. The tools help transform intuition into structured, rule-based decisions to mitigate the risk of catastrophic errors.

marsbitHá 8h

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

marsbitHá 8h

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

**"WeChat AI Card" Practical Test Guide: Has the Era of AI Shopping Arrived?** WeChat has officially launched the "AI Exclusive Card," a feature integrated into its Workbuddy AI assistant. This card is designed to handle payments for AI-initiated purchases. Our hands-on test reveals it's not yet a tool for fully autonomous AI shopping, but rather a controlled payment layer for AI agents. The AI Card functions as an isolated sub-wallet within WeChat Pay. Users must bind the card and transfer funds into it from their main wallet. Crucially, every transaction requires explicit user confirmation via smartphone scan; AI cannot spend autonomously. Currently accessible through the Workbuddy agent, the card targets specific digital consumption scenarios: purchasing paid content (reports, data), calling paid APIs/tools, and subscribing to services. Its design prioritizes security and control by separating funds and mandating approval for each payment. We tested a real-world scenario: ordering bubble tea via Workbuddy using a "Meituan Life Assistant" skill. The process encountered multiple hurdles: high "skill" usage costs (exceeding daily free credits), and most importantly, while a payment was successfully initiated, the AI purchased an incorrect product (a mismatched group-buy coupon instead of the desired drink). This highlights the current limitation: the **AI Card only solves the payment step**. The broader challenge lies in the **AI agent's execution chain**—accurately understanding intent, navigating third-party platforms, selecting the right product, and ensuring proper fulfillment. The payment succeeded, but the purchase failed to meet the user's need. In conclusion, the WeChat AI Exclusive Card is a cautious, early-step experiment in AI commerce. It provides a secure, user-controlled payment method for agent interactions but is not yet capable of reliable, end-to-end complex purchases. For now, it's best used for low-value, low-risk digital services with careful user verification at each step. The vision of AI handling complete shopping tasks remains a work in progress.

marsbitHá 11h

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

marsbitHá 11h

Trading

Spot
Futuros
活动图片