Grok, the artificial intelligence integrated into Elon Musk’s X platform, has identified five key strategies to optimize participation in the second season of Aster Airdrop Farming. With the October 5, 2025, deadline fast approaching, the AI’s analysis, based on real-time data and community discussions, offers a roadmap for users looking to maximize their “Rh” points and secure a share of the 4% of the total ASTER token supply.

Aster’s reward system is not based solely on trading volume, but on a combination of factors that Grok has broken down for efficiency. The analysis highlights that “taker” orders (which take liquidity) generate twice as many points as “maker” orders. Furthermore, the time positions are held open and the use of native assets like USDF or asBNB as margin are crucial, as both can double the points from weekly volume. The AI also emphasizes the importance of referrals and team participation to multiply earnings.

The 5 Key Strategies Revealed by the AI

Grok has synthesized its analysis into five operational tactics. The first is delta-neutral hedging, ideal for those who want to generate volume without price risk. The second focuses on high-frequency “taker” trades with short holding periods to maximize the 2x bonus. Third is the team and referral boost, a social strategy to amplify base points. The fourth tactic promotes the use of native assets, which not only increases points but can also offer additional yields. Finally, the AI suggests completing quests and holding spot tokens as a low-risk starting point.

This intervention by Grok marks a milestone at the intersection of artificial intelligence technology and crypto market analysis. Instead of relying on manual analysis, users now have access to strategies generated by a system that processes live market data, which could change how traders approach events like Aster Airdrop Farming. This event thus becomes a testing ground for the application of AI in decentralized finance.

However, Grok’s own analysis warns of the implications and dangers. Participants must consider the inherent risks, which include high transaction costs that could outweigh the value of the rewards, liquidation risk from leverage, and the possibility that the airdrop rules could change. The recommendation is clear: careful risk control is essential, and one should not invest more capital than they are willing to lose, as the final conversion rate from points to tokens is not yet defined.

As the deadline approaches, the strategies outlined by the AI offer a clear path for participants in Aster Airdrop Farming. Success is not guaranteed and will depend on disciplined execution and prudent risk management. This event will not only determine the distribution of ASTER tokens but could also set a precedent for how artificial intelligence will influence the future of trading and participation in the crypto ecosystem.

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A recent academic study warns that Ethereum’s scaling solutions, known as Ethereum Layer-2 rollups, are incorrectly pricing small transactions. The research, conducted by experts from zkSecurity, Prooflab, and Imperial College London, indicates that current fee models distort the actual cost, directly affecting users with lower-volume operations. This situation not only leads to overcharging but also opens new security vulnerabilities.

The report’s main finding details that a major issue is that current fee structures are overly simplistic. These models group various costs—such as execution, data availability, and cryptographic proofs—into a single formula or apply fixed rules. As a result, small transactions end up being overpriced, forcing users to pay more than they should. Conversely, other operations may be underpriced, creating an imbalance that can be exploited.

This pricing problem arises in a context where Ethereum Layer-2 rollups are fundamental to the network’s scalability. Their goal is to process transactions off the main chain to reduce costs and increase speed. However, the research shows that the method for recording this data on the mainnet does not adequately distinguish between transactions, applying fixed costs that harm smaller operations and benefit larger ones.

The implications of this flaw are twofold. For the market, it means that ordinary users making modest transfers or interacting with low-value decentralized applications are unknowingly subsidizing higher-volume operations. Furthermore, from a security standpoint, it creates an attack vector, as malicious actors could flood the network with spam at an artificially low cost. This type of denial-of-service (DoS) attack would degrade network performance and increase costs for everyone.

Towards a Fairer Fee Model on Layer 2

The study underscores the urgent need to redesign the fee models in Ethereum Layer-2 rollups to more accurately reflect the true cost of each transaction. Although these solutions are vital for Ethereum’s future, their sustainability depends on implementing more sophisticated and equitable mechanisms. The next step for developers will be to create dynamic fee structures that protect small users and strengthen the overall security of the ecosystem, ensuring that scalability is not achieved at the expense of fairness and network robustness.

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Oracle experienced a stock surge following announcements and strategic partnerships related to artificial intelligence in 2025. The integrations with NVIDIA and AMD, along with Oracle Database 23ai and AI tools in OCI, boosted the company’s valuation and, at times, temporarily elevated Larry Ellison’s net worth above Elon Musk in real-time rankings.

Announcements and Timeline in 2025

In March and June 2025, Oracle formalized collaborations and product enhancements focused on AI initiatives. The announcements and hardware-software integrations triggered a positive investor response, reflected in the rise of ORCL shares and upward analyst revisions.

Products and Technological Integrations

Oracle incorporated AI capabilities into its database and cloud infrastructure, facilitating enterprise use of AI models and vector searches. The products and services aim to simplify AI workflow implementation and improve efficiency in enterprise environments.

NVIDIA Integration

In March 2025, a joint statement with NVIDIA highlighted the integration of NVIDIA AI Enterprise software, accelerating inference and vector search operations in Oracle Database, combining NVIDIA’s software power with the advanced capabilities of Oracle’s database.

AMD Support and OCI Hardware

In June 2025, Oracle announced AMD support, integrating AMD Instinct MI355X GPUs into Oracle Cloud Infrastructure (OCI). This integration is designed to enhance AI workload performance through a combination of cloud hardware and optimized software.

Oracle Database 23ai and OCI AI Blueprints

Oracle Database 23ai and OCI AI Blueprints are proprietary products that simplify AI workflow and search implementations, forming part of a comprehensive strategy that combines database software, cloud tools, and external hardware support.

Market Impact and Larry Ellison’s Net Worth

The relationship between Oracle’s valuation and Larry Ellison’s net worth was evident when real-time indices showed his wealth temporarily surpassing Elon Musk. Media outlets such as Fortune, Bloomberg, and Forbes reported on how Ellison’s net worth was affected by movements linked to the ORCL stock surge.

Conclusion

The Oracle stock rally and its effect on Ellison’s net worth illustrate how the AI infrastructure race redistributes financial value and technological power. The episode raises practical implications for competition and centralization: in the short term, partnerships enable enterprise deployments and reduce operational costs, but in the medium term, they increase technology dependency risks, driving demand for open and decentralized alternatives to protect data sovereignty.

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