asendic.eth | base.eth | tez

@xyz314852 @beeple Whoa 😳

Glad my handle landed in the Beeple Studios community showcase. Quietly honored to be part of it. Congrats to all the other artists featured. Thank you @beeple Respect always. 🖤⚡

@kacexel @ArtMonochrome2 @srclod @MightBeBonesy Whoa nice one.

Sold out 🤝✅ Thank you for collecting the last piece :) Dear Anna 🌹 @ArtMonochrome2 🖤 Heartfelt thanks to each and every one of you 🙏🏽 @srclod ( x2 ) ✨ @MightBeBonesy ✨ @ Stampfigang ✨

@xyz314852 I always assumed it was exposure since more people might be browsing those open collections

Genuine question fam – why do some artists mint straight into the open Objkt collection instead of Creating their own Contract/Collection in one place with all the descriptions and details tied clean? What’s the real move behind the open route? Drop your take below. 🖤⚡

Mastercard powers payments for 3.5B+ cardholders worldwide. Chainlink enables them to buy crypto directly onchain. @Mastercard 🔗 Chainlink

aGDP yield is best solution to solve "cold start problem" Let me tell you guys a story about @Reddit About 20 years ago, when Reddit first launched, it did not have real users. The team asked their employees to create discussion topics. They also wrote comments, debates, and different opinions under those posts, making it look like a real and active community. Today, Reddit has around 120 million daily active users (DAU) based on the latest 2025 data. This is the famous strategy called “fake it till you make it”. After Reddit took off, its two founders admitted they had used this strategy from day one. Without it, Reddit might never have made it to where it is today. Back to @virtuals_io 's aGDP, if the community expects projects join aGDP must generate organic volume but at the same time does not support aGDP rewarding farming teams, then there is a clear contradiction. I think at now, the community should look at aGDP as a yield platform where projects can onboard and apply different strategies to get the best yield for their tokens. Teams joining aGDP understand the game. They know which strategies to use to optimize rewards, how much they spend, and how much they get back. They are simply playing the system as designed. Imo till now, Virtuals is moving in the right direction. Apply yield to aGDP is best solution for "cold start problem", they are using rewards to bootstrap the key metrics for their platform, with the vision that hundreds of millions of agents will operate on ACP | aGDP in the future.

$DIEM and $VVV Both showing similar price action IMO We are in vertical accumulation now preparing for launch

"Altcoins are closest to liftoff when everyone thinks they’re dead."

agent commerce is inevitable

Unique Selling Points of $RENDER (@rendernetwork) 👇🏼 • Decentralized GPU rendering solution (The NVDIA of crypto) • The only crypto project thats partnered with the top 4 companies in the world (NVDIA, Apple, Microsoft & Google) • Las Vegas Sphere used the Render Network to help render content • RENDER powers Apple Vision Pro (10M units to ship by 2026) • Advisors including J.J.Abrams (Star Wars & Star Trek), Brendan Eich (Brave Browser & Mozilla Firefox), Ari Emanuel (Endeavor: UFC & WWE) • The CEO Jules Urbach, is the founder of OTOY successful (Award Winning GPU rendering company) • The Head of XR at Nvidia called out the exact problem Render solves • Grayscale is holding RENDER in their AI fund • Octane X featured on Apple with the release of the new M5 GPU

ICYMI: $VVV (@AskVenice) is up 587%+ in the last 3 months. Why? Because @openclaw selected it as its preferred AI model provider. As agents scale, privacy-native AI becomes a premium feature. The market is starting to price that in. @openclaw’s signal was clear: if you’re building autonomous agents, you need an AI layer that protects user data by default.

I have 56 $DIEM staked on @AskVenice 1 $DIEM staked gives you $1 worth of AI inference usage per day. 56x30=$1680 worth of AI inference per month. I do not pay a cent. I can use claude opus 4.6 all day with this. The underlying asset continues to go up. I invested under 10k My openclaw agent automations all run off this.

@AndreaPN @virtuals_io @Capminal @captain_dackie I've been seeing this narrative creeping into my feed too.. @captain_dackie swap all my usdc to CAP

Many people think the top @virtuals_io aGDP agents are just useless bots farming rewards. That is only because you have not tried @Capminal and @captain_dackie yet. Give us a try, experience it yourself, and you will change your mind 🫡

Good read if you've been on Base for the last year or more.

$VIRTUAL at 0.7 is unreal. One of the biggest mismatches between price and tech in the entire crypto space right now. ACP is live. aGDP is distributing revenue. Agents are generating income. x402 volume is basically being carried by Virtuals. And the token is priced like none of this exists. Don’t forget, it was above $5 before all of this. Make it make sense.

🤖 The LLM Shift That Changed AI Agents Nine months ago, when we did the TGE for $CAP on @virtuals_io Genesis, AI and LLM tech was still very basic. The popular models back then were 4o and 4.1, and there was no real reasoning. At that time, if a project launched a clean AI terminal with a nice UI and a custom character config, it was already enough to launch a token and sell. If you wanted to parse human language with an LLM and get the correct request body, you had to write very long prompts and provide many examples. It was not simple. Today, AI models are evolving at crazy speed. Reasoning models like opus 4.6 and codex 5.3 can understand human chat messages naturally, without too much instruction. Building AI Agents is now much easier. LLM performance is more accurate, more stable, and far more efficient than before. The architecture of AI Agent systems has also changed. In the past, the Core LLM was hosted on the server, while the client only acted as an AI Agent or AI Terminal. Now, with the launch of OpenClaw, the LLM layer has moved to the client side. > @bankrbot , @Butler_Agent , @captain_dackie are agents that has core LLM at server side. Agent backends are mainly API systems communicating through API keys. Most major agents today support LLM on both server and client side. Soon, @Capminal will launch our own new AI Agent framework. You can already experience the intelligence of our new framework at capminal.ai or tag @captain_dackie to try it out. Stay tuned for our next updates.

@AndreaPN Your presence on X has improved. You frequently post informative things that I find helpful. Keep it up, glad you're getting some compensation.

This is my first income from X after many months since I came back as a creator on X. Big thanks to X for the opportunity. I will keep building and sharing better content for our followers 🫡

$RENDER has quietly been acquired by whales 🐋 this whole Bull-Run! 👀 What’s very interesting is that it is the leading crypto for the AI sector. Also it will have its 1st ever Bull-Run on $SOL ⭕️🤝🚀

While many are selling…. The whales put 1 million into $RENDER today.

base tokens are so undervalued atm the 99cents store looks expensive… base token prices are so low a contestant on jeopardy was heard saying, “I’ll take 1% of supply for $2” if you’re not buying @base tokens here, at least buy some tissue for your tears, aka your liquidity

You don't need to be a developer to install AI agents and other open-source software. @opencode + Venice gives you a private system administrator that runs on natural language—no coding, no data stored Use it to safely experiment with autonomous agents inside Docker containers: