How are Gen Z using AI smash or pass in creative ways?

Gen Z users have transformed such tools into efficient creation engines. Data shows that in 2024, Douyin generated an average of 1.7 million AI-driven short videos per day, with 30% of the content integrating real-time feedback mechanisms, and the usage frequency reached 15% of the average daily active time of users. A leading creator connected to the platform API through scripting, achieving a mass production of 500 costume-changing videos in a single month. The click-through rate increased by 40%, and the advertising revenue share grew to $9,000, with a return rate as high as 30 times the original investment cost. The core innovation of the tool lies in compressing the decision-making speed to 0.5 seconds per frame, and in combination with the multi-shot switching algorithm, reducing the production cycle by 70%. For instance, in the case of cooperation with SONY Music, the production efficiency of fen-made MVS was increased to 20 versions per hour.

In the field of education, the student group developed a sociological experimental model and collected 2,000 samples through the ai smash or pass mechanism to analyze aesthetic trends. A 2023 Stanford study revealed that the variance of the data dispersion of participants’ judgments on historical and cultural figures (such as Einstein) was only 0.08, successfully verifying the theory of cross-cultural cognitive bias. The citation rate of the research paper increased by 65%. It has also developed an ethical debate function – when inputting climate policy proposals, the system outputs the support rate in the form of probability (for example, the probability of the carbon tax policy “Smash” is 58%±3% error). The coverage rate of such applications in universities has reached 37%, and the accuracy of European youth using it to simulate the parliamentary voting process has reached 91%.

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The business co-creation model highlights the resource integration capabilities of Generation Z. Trendy brands use this tool to hold a limited edition design referendum, attracting 500,000 users to participate in a single event. The peak decision-making traffic is 120 times per second, reducing product development costs by 60%. Referring to the Nike virtual shoe project in 2024, the community optimized design elements through 14 rounds of AI screening (such as a median heel height of 4.5cm, which received an 83% preference), and the final sales exceeded 3 million US dollars. Users have also established an automated revenoe-sharing system: Creators upload their design drawings to Discord bots. Each time they are marked as “Smash”, a smart contract is automatically triggered to pay a $0.2 commission, which has facilitated 150,000 transactions to be documented on the chain.

Social movement scenarios demonstrate the value of change. Last year, the Berlin Youth Organization launched the “Urban Space Transformation Plan”, collecting 30,000 residents’ ratings of public facilities (with a median score of 7.2/10 for green density) through geolagged photos, and superimposing the data on municipal maps to generate a transformation priority model. After the model was adopted by the municipal government, the efficiency of park renovation increased by 45% and the budget utilization rate rose to 92%. To avoid moral hazard, developers have simultaneously deployed a dynamic filtering mechanism. When the sensitivity of skin color recognition exceeds the 0.7 threshold, it automatically triggers fuzzy processing. Human rights organizations’ assessment shows that the complaint rate of discrimination has dropped to 0.3%.

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