# Customization İlgili Makaleler

HTX Haber Merkezi, kripto endüstrisindeki piyasa trendleri, proje güncellemeleri, teknoloji gelişmeleri ve düzenleyici politikaları kapsayan "Customization" hakkında en son makaleleri ve derinlemesine analizleri sunmaktadır.

Robinhood Provides the Answer: Why Ethereum Becomes the Optimal Solution After Traditional Businesses Enter

The article argues that as real-world, cash-flow-focused businesses enter the blockchain space, they are increasingly choosing the Ethereum L1 + L2 architecture as the optimal infrastructure solution, in contrast to earlier crypto projects built primarily around token sales. It uses Robinhood as a prime example: after testing its stock tokenization product on Arbitrum One, Robinhood launched its own dedicated blockchain, "Robinhood Chain," which is built as an Ethereum L2 using Arbitrum's technology, relying on Ethereum for data availability (via blobs), using ETH as its native gas token, and employing a standard bridge to Ethereum. The author, Ryan Berckmans, distinguishes between two types of participants with different incentive structures: 1. **The "Old Crypto Economy":** Projects whose primary goal is to create and sell a token, with value derived from utility expectations, speculative "monetary premium," or distant cash-flow promises. Their technology stack choices are often flexible and driven by grants, copycat opportunities, or the need for a new token narrative. 2. **The Emerging "Real-World On-Chain Economy":** Traditional businesses using blockchain to improve existing services or create new cash-flow streams. Their goal is to maximize business profits, not token appreciation. For them, blockchain is infrastructure, and they prioritize low risk, security, user reach, operational control, liquidity, and interoperability. For these real-world enterprises, building a standalone L1 is costly, creating a new "security and liquidity island." Ethereum's L1+L2 model splits their core needs: the L1 provides a highly decentralized, neutral, and liquid global settlement layer, while L2s offer a market of customizable, high-performance, operator-controlled execution environments. An Ethereum L2 grants most benefits of an independent chain (high TPS, control, custom features) while inheriting Ethereum's security, seamless access to its ecosystem and assets, and native, low-trust bridging. The piece concludes that this shift in market participants profoundly benefits Ethereum and ETH. As businesses build on Ethereum (directly on L1, via their own L2 like Robinhood Chain, or on shared L2s like Base), they onboard users, embed ETH into products, and deepen its network effects and monetary premium. The choice is driven not by ideological belief but by rational commercial judgment, making Ethereum L1+L2 the current default optimal solution.

Foresight News07/13 09:11

Robinhood Provides the Answer: Why Ethereum Becomes the Optimal Solution After Traditional Businesses Enter

Foresight News07/13 09:11

The Shutdown of Claude Mythos Revealed the True Cost of Renting AI to Me

The sudden shutdown of Claude Mythos this week starkly highlights a critical, often overlooked risk for founders: when your core capability relies entirely on someone else's platform, your fate is not in your own hands. The key question becomes: who truly owns the intelligence your product depends on? For years, the debate around open-source models focused on cost. Now, the evidence is clear: fine-tuned open-source models can achieve frontier-level quality for specific, mission-critical tasks at a fraction of the cost. However, the deeper issue is control. Relying on a third-party API is like renting; it works until the landlord changes the rules, raises the rent, or asks you to leave—as Mythos experienced. The lesson is not to stop using frontier models—they are incredible infrastructure. The goal is ownership. Ownership means starting with a powerful open-source model and shaping it around what makes your company unique: your data, workflows, domain expertise, and definition of "good." Over time, the model becomes less generic and more reflective of your business, creating durable value. The optimistic conclusion is that AI's future doesn't hinge on one superior model. There is no single frontier. The frontier includes proprietary models, models fine-tuned on company-specific knowledge, specialized models for narrow problems, and intelligent routers orchestrating model ensembles. The most interesting development is not models getting smarter, but intelligence becoming increasingly customizable. The winning companies will be those that transform intelligence into a unique, owned asset. Looking ahead, the vision is not one model dominating all, but many teams owning the part of the frontier that matters most to them.

marsbit06/16 02:10

The Shutdown of Claude Mythos Revealed the True Cost of Renting AI to Me

marsbit06/16 02:10

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