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Creati.ai Trend Report: The 'AI Kiss' Phenomenon & EdTech Hacks

Analyzing search behaviors for January 02, 2025: From viral photo animations to controversial deepfake tools.

01
🔥 Top Viral PhenomenonSearch of the Day
"make two photos kiss using ai"
A massive social media trend (TikTok/Reels) where users merge two static photos—often incongruous celebrities or family members—into a video embrace. Popularized by tools like Viggle, Luma, and Kling.
Volume Index 98Viral Intensity
Meme CreatorsCore Audience
Video AITechnology Category
🚀 Rising Searches
2
"Blooket Hack" / CheatsEdTech / Gaming Exploits
92
3
"Muke.ai" / "Remove Clothes"Controversial / NSFW AI
88
4
Study Tools (Essay, Mapa Conceptual)Academic Productivity
85
5
"Open Source Sora"Dev Interest / Video Models
79
🚨 Market Context
LATEST POLICYLegislation like the 'Take It Down Act' gains traction in 2025 as non-consensual deepfake tools (e.g. Muke) surge in usage.
EDTECH HACKSSchools tighten cybersecurity as students search for new Blooket cheats and GitHub token scripts for the 2025 semester.
VIDEO AIViral 'photo kissing' templates on platforms like Fotor & Luma showcase the shift from static AI art to dynamic video memories.
💡 Analyst Insight

The Contrast: Wholesome Memories vs. Dark Usage

Today's search data for Jan 2 reveals a deep bifurcation in AI video intent. The #1 trend involves users animating vintage or celebrity photos to 'kiss', representing a creative and nostalgic use of Image-to-Video technology. Conversely, the rise of 'Muke.ai' and explicit removal queries (variants of 'remove clothes' in 5+ languages) highlights the persistent threat of accessible Deepfake tools.

Actionable Trend:Platforms must refine content filters. While 'Kissing' is viral/benign, the linguistic variance in NSFW queries ('quitar ripa', '脱', 'photos nude') shows that blockers often fail against non-English evasion.

👥 User Interest Split
45%Meme/Social Creators
30%Students (Cheats/Study)
15%High-Risk/NSFW
🛠️ Trending Tools

Volume Movers

Luma / Viggle (Implied)
Tools driving 'kissing' video memes.
Count 17+
Muke.ai
High explicit search interest (Nudify).
Trend High
Blooket Hacks
GitHub scripts for educational games.
Count 7
Open Source Sora
Developer queries for open models.
Count 3
📊 Query Distribution

Themes

Visual/Video Gen
40%
Study & Edu
30%
NSFW/Gray Area
20%
General/Tech
10%

Languages

English
35%
Spanish (Español)
25%
Portuguese
15%
Others (JA, RU, KO)
25%
✨ Deep Dive

Jan 2 Trend Analysis: The 'AI Kiss' and The Ethical Gap

1. The Viral Mechanics of the 'Kissing' Trend

The keyword 'make two photos kiss using ai' dominated the dataset. This trend leverages Image-to-Video models (implied use of Luma Dream Machine or Kling AI) to create surreal or sentimental interactions between disparate photos. Unlike static generative art, this trend is purely social-first, designed for TikTok and Shorts virality.

2. EdTech: The Cheat vs. Study Battle

While high volumes of queries focus on 'Blooket hacks' (cheating in gamified learning), there is an equal force of utilitarian usage. Spanish and Portuguese queries for 'mapa conceptual' (concept maps), 'essay', and 'resumen' (summary) indicate that in 2025, AI is entrenched as a legitimate homework assistant in LATAM and global markets, competing directly with cheat tools.

3. The Deepfake Economy: Muke.ai

The data explicitly lists 'muke.ai' and various translations of 'remove clothes' or 'nude'. This signifies a resilient black market for non-consensual image manipulation. Despite regulatory headwinds (like the EU AI Act), specific standalone tools continue to attract search traffic, often requiring users to actively bypass search engine safety filters with foreign language queries.

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