PANews Crypto Year-End Review: Did Your 2025 Airdrop Harvesting Score Pass?

marsbitОпубліковано о 2025-12-18Востаннє оновлено о 2025-12-18

Анотація

PANews Year-End Crypto Review: Was Your 2025 Airdrop Farming Performance Up to Standard? Looking back at 2025, more and more participants have had to admit that the returns from airdrop farming this year were far from ideal. While there was no shortage of projects and participation remained high, very few stood out as clear successes—shrinking airdrops, token launches hitting peak prices immediately, and insufficient liquidity support have become the norm. What was once considered a low-risk "consensus dividend" has now turned into a highly competitive screening mechanism. As the easy gains fade, the underlying issues have become clearer: Should participants continue engaging indiscriminately, or is it time to reassess their investment of time, risk exposure, and expected returns?

Looking back at 2025, more and more participants have to admit: the returns from airdrop harvesting this year were far from ideal. There was no shortage of projects, and participation rates remained high, but truly successful ones were few and far between—shrinking airdrops, tokens peaking at launch, and insufficient liquidity support have increasingly become the norm.

Once considered a low-risk "consensus dividend," airdrop harvesting now resembles a highly competitive filtering mechanism. As the红利 (dividends) fade, the underlying issues become clearer:

Should one continue participating indiscriminately, or reassess their time, risk, and expectations?

#PANewsCryptoYearEndReview

Пов'язані питання

QWhat is the main topic of the PANews year-end review article?

AThe article is a year-end review focusing on the disappointing returns and increasing challenges of 'Airdrop Hunting' (撸毛) in the cryptocurrency space for the year 2025.

QAccording to the article, what was the general trend for airdrop rewards in 2025?

AThe trend was that airdrop rewards continued to shrink, with tokens often hitting their peak price at launch and a general lack of liquidity to support them, making returns largely unsatisfactory.

QHow does the article describe the current state of 'Airdrop Hunting'?

AIt describes it as a highly competitive and selective mechanism that is no longer a low-risk 'consensus dividend,' but rather an activity where the红利 (hongli, meaning dividend/bonus) has faded, forcing participants to re-evaluate their strategy.

QWhat key question does the article pose to its readers about their participation?

AIt asks readers to consider whether they should continue participating indiscriminately or if they should re-examine their investment of time, the risks involved, and their expected returns.

QWhat specific cryptocurrency event or practice is being critiqued in this article?

AThe article is critiquing the practice of 'Airdrop Hunting' or '撸毛 (lū máo)', which refers to the strategy of participating in numerous crypto project airdrops in hopes of earning valuable token rewards.

Пов'язані матеріали

Codex Goal Mode Usage Guide: How to Make AI Continuously Pursue a Specific Objective

"Codex Goal Mode: How to Make AI Work Continuously Toward a Specific Goal" OpenAI's Codex "goal mode" (/goal) transforms the AI from a reactive code assistant into a proactive execution agent capable of working autonomously for hours or even days to achieve a defined objective. To maximize its effectiveness, follow these key principles: 1. **Define Clear, Verifiable Exit Criteria:** The goal prompt should be a concise, measurable success condition, not a lengthy specification. Use quantifiable metrics like "reduce build time by 30%" or "achieve 100% test parity." 2. **Provide Initial Guidance and Tools:** Direct Codex toward likely problem areas and specify available tools (e.g., browsers, testing environments) to prevent it from exploring unproductive paths. 3. **Enable Progress Measurement:** Equip Codex with ways to track advancement, such as creating comparison tools for visual tasks or evaluation sets, ensuring it can gauge its own progress. 4. **Use a Realistic Execution Environment:** For tasks like performance optimization, provide access to environments that closely mimic production (e.g., similar configs, databases) to yield valid results. 5. **Be Cautious with Visual Goals:** Avoid vague "pixel-perfect" instructions. Instead, supplement visual references with functional checklists or design system specifications to prevent Codex from obsessing over minor details. 6. **Implement Progress Tracking:** For long-running tasks, have Codex commit code to draft PRs, update progress documents, or send Slack updates to maintain visibility into its work. 7. **Review and Consolidate Results:** Once the goal is met, instruct Codex to review its work, clean up ineffective experimental code, and reflect on what strategies succeeded or failed. Ultimately, using goal mode shifts the developer's role from writing prompts to managing a persistent engineering agent—defining objectives, establishing metrics, configuring environments, and conducting final reviews.

marsbit30 хв тому

Codex Goal Mode Usage Guide: How to Make AI Continuously Pursue a Specific Objective

marsbit30 хв тому

From Ethereum to AI's 'CROPS': What Exactly Is This 'Slow Variable' That Vitalik Has Repeatedly Emphasized?

Recently, Vitalik Buterin has frequently emphasized the concept of "CROPS," first outlined in the Ethereum Foundation's March mandate as core principles guiding its focus: Censorship Resistance, Capture Resistance, Open Source, Privacy, and Security. CROPS represents Ethereum's commitment to providing foundational capabilities for user sovereignty—enabling asset ownership, identity expression, and coordination without reliance on centralized platforms or surrendering ultimate control. This framework is gaining new urgency with the rise of AI, particularly AI agents managing digital assets and automating transactions. While AI offers convenience, it risks centralizing user data, intent, and control if dependent on opaque, centralized services. Vitalik argues for "CROPS AI"—AI that is open, privacy-preserving, secure, and capable of local execution to maintain user agency. He highlights convergence between "CROPS Ethereum access layers" and "CROPS AI," such as using zero-knowledge proofs for private remote LLM calls and Ethereum RPC reads, ensuring users can access services without exposing sensitive information. Ultimately, CROPS is not just an abstract ideal but a practical guide for Ethereum's development and AI integration. It addresses the critical long-term question: as digital systems grow more powerful, how can users retain control over their privacy, assets, and autonomy? In an AI-driven era, these principles may define Ethereum's enduring value—prioritizing verifiable, secure, and user-centric design over short-term optimizations like speed and cost alone.

marsbit34 хв тому

From Ethereum to AI's 'CROPS': What Exactly Is This 'Slow Variable' That Vitalik Has Repeatedly Emphasized?

marsbit34 хв тому

Торгівля

Спот
Ф'ючерси
活动图片