Weekly Recommended Reading

Huobi2022-07-29 tarihinde yayınlandı2022-08-01 tarihinde güncellendi

Özet

Weekly Recommended Reading

1.ETH

Vitalik Buterin – “Merge Isn’t Priced In Yet”, What It Means For Ethereum (ETH) Price

Ethereum co-founder Vitalik Buterin in an interview said “the merge is not priced in” until it happens, not just for market terms but also for psychological and narrative terms. The highly-awaited Merge is most likely to occur on September 19 and will not immediately be a complete PoS transition with the merge of Ethereum Mainnet and Beacon Chain.

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a16z: What the Merge Means for Ethereum ?

Ethereum’s biggest-ever upgrade — the move to a proof-of-stake consensus mechanism — is right around the corner. But while the Merge should add security and sustainability, it doesn’t include sharding, the long-anticipated method of scaling the network.

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2.Layer2

The Layer-2 Wars could be the next big trend in crypto leading up to The Merge

DeFi analyst and YouTuber Patrick Dynamo DeFi, highlighted Monday several exciting trends in the world of DeFi, including the rise of the “L2 wars.” Over the past week, revenue for Polygon, Optimism, and Arbitrum, popular scaling solutions for Ethereum, were up 36% – 54% following Ethereum’s price rally.

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3.WEB3

Why Web3 is Needed More than Ever

The world is literally on fire. Europe, Asia and parts of America have all experienced record temperatures this summer, causing wildfires and devastation.

The world economy too, is running hotter than anytime in living memory. War wages in Europe, inflation continues to climb, energy supplies are dwindling, and food shortages are becoming the norm.

Last, but certainly not least, civil rights are in retreat. Women’s autonomy is under threat–half the world’s female population lack the ability to make choices about their own bodies–and democracy has been in decline in every continent for over a decade. The outlook for humanity is grim.

But amidst this backdrop represents a unique opportunity. An opportunity for Web3 to step forward and help re-imagine the world as we know it.

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4.GameFi

Delphi Digital: What Will the Future of (Crypto) Gaming Look Like?

It’s no secret by now that most gamers hate crypto. We’ve witnessed heavy community backlash around announcements such as Ubisoft Quartz and even more recently with Dr DisRespect’s Midnight Society. Video game commentators such as Asmongold, Josh Strife Hayes, and many more continue to hound the sector—often with good reason. Perhaps you’re surprised to hear a crypto-native company admit this, but we understand where the sentiment comes from and believe there are grounds for it. As a team of gamers and some of the earliest supporters of blockchain games, the dismissal of a space we care for so much caught us off guard. Initially, we assumed it was a case of people not understanding the benefits that crypto could bring to gaming. In time we’ve listened, debated, and listened some more.

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5.Tokenomics

Airdrops are Mostly Fool’s Gold…But They Have Their Uses

Data From Nine Major Airdrops Show That Rewarding Core Users Has Delivered The Best Results.

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İlgili Okumalar

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.

marsbit1 saat önce

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

marsbit1 saat önce

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.

marsbit4 saat önce

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

marsbit4 saat önce

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.

marsbit6 saat önce

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

marsbit6 saat önce

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