#BLACKPINK# 5th ANNIVERSARY [4+1] POP-UP HASHTAG EVENT [4+1] POP-UP OPEN D-DAY💕 SEE YOU SOON! 📸 #블랙핑크# #4PLUS1_POPUP# #OPEN# #D_DAY# #HASHTAG_EVENT# #5thANNIVERSARY# #4PLUS1_PROJECT# #YG#

Sigma Community Call Prize Pool: $300 worth of xSIGMA Time: May 12, 14:00 UTC Venue: Guests: Community Manager Coach, and CN Community Manager Piu Language: English How to Participate: 1️⃣ $100 (5 winners; $20 each) - Users who ask a live question during the AMA 2️⃣ $100 (10 winners; $10 each) - Users who write a short product feedback after using our Mint, Trade, or Earn feature and share it in EN TG. Must have a screenshot. 3️⃣ $100 (10 winners; $10 each) - Users who quote retweet our pinned post on X with the #SIGMAonBNB# hashtag and share their link in EN TG. Event Deadline: May 13, 14:00 UTC

👋Introducing the #Meissonic# & #Menotico# model series, a collaborative pre-trained image generation model by Collov Labs! This marks another step forward in our research journey, following our work on #3D# Prior Image Synthesis and D-edit. In collaboration with University of California, Berkeley AI Research and Stanford University , this series features highly efficient image generation models based on the MIM (Masked Image Modeling) architecture. Designed to surpass traditional diffusion models (such as SDXL), these models enable efficient generation of 1024x1024 and 512x512 images even at the edge. The #Meissonic# & #Menotico# series represents a milestone for Collov Labs as we pursue advancements in hashtag#spatialdesignintelligence#. Our goal is to create stunning, efficient text-to-image models trained with minimal data and parameters, paving the way for cost-effective pre-training that delivers enterprise-grade solutions. By collaborating with clients in real estate and home decor, Collov offers customizable, compliant, and cost-controlled pre-training solutions. Through our post-training pipeline, MIM models excel in downstream tasks, including: 🖼 Precision: Perfectly scaled image generation 💡 Visual Memory: Retaining 3D and 2D concepts with fidelity, like furniture, cabinetry, and flooring textures 🚀 Spatial Reasoning: Intelligent spatial arrangement and drag-and-drop editing capabilities We’re thrilled to contribute to the open-source community, sparking discussions on YouTube and Reddit from Japan, Korea, the U.S., India, the Middle East, and the U.K. Check out this YouTube tutorial on deploying these models efficiently at the edge: We invite you to explore and discuss our work! Our code and full paper are now available: 💻 Hugging Face: 📄 Full Paper:

$SOL volume feels a little too stable today... but honestly, quiet timelines like this are usually when the alpha corner starts smelling money first One project I’ve been watching closely today is $VIRL Personally, I’ve always liked these “Meme + Utility” type projects because at least they have a clear direction instead of being another random meme coin praying for a pump The core idea behind is actually very simple : “Trends appear first. Coins are just tools to tokenize attention” Instead of forcing memes into existence and hoping they go viral, AI scans TikTok, X, Reddit, and social media in real time to detect : - rising hashtags - unusual engagement spikes - shifting sentiment - cultural trends before they explode Once the AI spots a trend with potential, users can instantly deploy a memecoin through with almost zero friction , no coding, no complicated setup What I like most is this : The AI doesn’t create memes It hunts where attention is ABOUT to flow That’s why their slogan actually hits : “The trend is live. The coin isn't yet. That gap is the trade ” And honestly, most money in this market is usually made inside that exact gap What really made me pay more attention today is the fact that they officially launched V2 FULLY LIVE instead of another endless “coming soon” testnet narrative + Some of the upgrades include : - Jupiter routing integration - optimized mobile UI/UX - faster deployment flow - upgraded backend + RPC infrastructure for handling market FOMO load They’re also pushing hard on CoinMarketCap verification, Binance Square exposure, and Telegram trend feeds From the outside, it genuinely feels like the team wants to build real infrastructure for the “attention economy” on Solana rather than just farming one meme cycle and disappearing If is the place where coins get minted, then wants to become the place that tells you which narrative is worth minting before the market notices it + Their roadmap is also pretty ambitious : - AI Attention Engine - Real-time Trend Terminal - Liquidity flow tracking - Social-driven alpha infrastructure But of course, every narrative has risks + The biggest concerns for me are : - Is the AI fast enough ? If the trend is already x5 or x10 before detection, then it’s already too late. - Can it filter signal from noise ? Social media is full of bots and fake engagement now. If the filtering isn’t strong enough, it could end up deploying pure garbage narratives - Execution still matters most SOL PVP moves insanely fast. Even with a great tool, slow execution still turns users into exit liquidity + Overall : I genuinely think this is a project worth putting on the watchlist The combination of AI + Attention + Memecoins + Real-time trends fits the current market extremely well, especially if SOL volume starts heating up again Now it’s all about watching how V2 performs in real market conditions and whether their AI can actually sniff trends faster than the broader market What do you guys think ? Does this actually have the potential to become a real alpha-hunting tool, or is it just another “old wine in a new bottle” narrative ? BiywH8Eq2CbGhwMHKwCnfTiccWJwN7r1Q4Qn9hsypump

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