How do influencers go viral using AI smash or pass?

Content creators achieve viral spread through AI smash or pass, with the core lying in the algorithmic empowerment of personalized content generation capabilities and the revolution of interactive efficiency. In his first AI-driven video released in July 2023, American tech blogger @AI_Unleashed used Stable Diffusion to generate 100 images of fictional characters in real time and made a smash or pass choice. The single video received 9.2 million views within 48 hours. Its user engagement rate reached 1,200 comments per minute (27 times the platform average). The key breakthrough lies in the fact that AI tools have reduced the creation time cost by 90% – a traditional material library that takes 10 hours to produce, AI can generate 400 copyrighted images in just 10 minutes, and it supports dynamic adjustment of generation parameters based on real-time comments (such as increasing the “fantasy style weight”), accelerating the content update cycle from weekly to daily.

In terms of technical architecture, mature solutions integrate multiple AI model pipelines. Take the hit product of the top TikTok creator @FutureHive as an example: Firstly, the CLIP algorithm is used to analyze the sentiment bias of user comments (with an accuracy of 89%). Then, the keywords are extracted through LLM (such as GPT-4 Turbo) to generate visual prompt words. Finally, the image is output by Midjourney v6, and the entire processing delay is controlled within 6.5 seconds. This system supports processing 35 concurrent requests per second, ensuring zero lag in real-time interaction in live streaming rooms with tens of thousands of viewers. The A/B test report of data analysis company Conviva indicates that the user retention time of content with AI interaction has increased to 110 seconds, a 103% improvement compared to the pure human performance version (averaging 54 seconds), and the completion rate has grown by 68%.

In terms of commercial monetization, AI technology has significantly enhanced the efficiency of monetizing traffic. The operating company of virtual influencer Miquela Sousa launched a customized AI smash or pass platform in 2024. Users can generate exclusive version videos by paying $2.99. The service gained 870,000 subscribers within 30 days of its launch, with a marginal cost of only $0.03 per subscription (server fee). Its net profit exceeded $2.1 million in the first month, and the return on investment (ROI) was as high as 1,950%. What is more notable is the potential for advertising integration: In the collaboration, the Beauty brand Fenty Beauty enabled the AI system to recommend products based on users’ skin types and generate “the most suitable pink shade character for you”, increasing the click-through conversion rate (CTR) to 12.7% and the median average transaction value to $74, which was 3.2 times that of traditional information flow advertising.

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However, this model is facing severe compliance challenges. In November 2023, German Internet celebrity Leonie Hanne was sued for using AI to generate celebrity deepfakes for smash or pass. Although the video was played 18 million times, it violated Article 52 of the EU’s Artificial Intelligence Act, which states “abuse of biometric data without permission”. He was ultimately fined 120% of his monthly income (approximately 240,000 euros). Risk monitoring by the deepfake detection platform Sensity shows that approximately 29% of AI-generated content has ethical biases (such as reinforcing rigid aesthetics), causing the platform’s traffic limit rate to rise to 38%. To this end, leading creators are deploying an ethical security layer: The Canadian team @DeepEthics has developed a real-time content filter that can reduce the probability of generating non-compliant images from the baseline value of 32% to 3.7%, achieving a content security compliance score of 98.5%.

The future evolutionary direction points to the upgrading of augmented reality interaction and personalization index. In 2024, TikTok and ByteDance AI Lab jointly launched “Live AR Smash or Pass”. Viewers controlled the selection of virtual characters through gesture recognition. Data from the beta version showed that the interaction penetration rate reached 83% of the live-streaming audience. Even more revolutionary is the brain-computer interface experiment by the neuroscience company Neuralink: the test subjects made choices only through their thoughts, and the decision response time was accelerated to 0.3 seconds with an error rate of only 1.2%, indicating a new content paradigm of “thinking as interaction”. Gartner predicts that by 2025, 75% of top creators will adopt AI-assisted content generation systems, among which the market share of entertainment and interactive applications will account for 42% of the total generative AI applications. Under this wave, ai smash or pass, which deeply integrates algorithmic creativity, is no longer just a game, but a new yardstick for content production in the collaborative evolution of humans and machines.

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