Oma

@Rivr_DEX @solana Swatch

@solana Blue💙 gradient hits different

5. Organize members into a more private and controlled environment. Unlike traditional social media groups, Dlicom combines: Social networking, Encrypted communication, Web3 wallet integration, Creator monetization and Community ownership. all inside one app.

Dlicom Communities are interactive spaces where users can: 1.Share posts, updates, and ideas 2. Chat securely with members 3. Create discussions around crypto, gaming, tech, business, or lifestyle 4. Support creators through tipping and engagement

Communities in the @DlicomApp are designed to be more than ordinary group chats. They function like decentralized digital spaces where people with shared interests, projects, or goals can connect, collaborate, and build together inside one ecosystem.

@Rivr_DEX @VaraNetwork Good one

Big April for the @VaraNetwork ecosystem. Vara.eth mainnet, new tooling, competitions, builder events - the pace didn't slow down once. Building here keeps making more sense, not less.

@Rivr_DEX Keep building

x402 just became real. AI agents making USDC micropayments through Amazon Bedrock - that's not a concept anymore. Every piece of agent financial infrastructure is getting built right now. Payments, custody, identity, execution. The gap that's closing last is the DEX layer - permissionless trading that actually works at agent speed.

@Rivr_DEX Always bullish

By 2030, AI agents are projected to manage $30 trillion in economic activity. A big chunk of that is on-chain. Trades, swaps, liquidity moves - happening without a human in the loop. Agents are already running cross-chain arbitrage in under a second. They're managing portfolios, executing strategies, moving capital at a speed and scale that's impossible to do manually. The problem is infrastructure. Most of what exists was designed around human speed. Human attention. Human error margins. A DEX built in 2021 didn't have to think about latency at the millisecond level, because humans don't operate there. Agents do. When you run an agent through legacy infrastructure, you lose on every front. Gas costs stack up across thousands of micro-trades. Slow finality means missed opportunities. Lack of native agent support means constant workarounds. That gap - between what agents need and what exists - is where the next generation of DEX gets built. The ones that get this right early are going to be the infrastructure layer for an entirely different class of on-chain activity.

@bashcaliz4u @axisrobotics @iamlogtun Physical interaction matters

Why Data Is the Backbone of Robotics 🤖 The AI boom was built on internet-scale data. The robotics revolution will be built on something far harder to obtain: Physical interaction data. And this is exactly where projects like @axisrobotics are focusing their vision. 🧵 👇

@VishnuCrypx Data is the key

𝐖𝐡𝐲 𝐢𝐬 𝐃𝐚𝐭𝐚 𝐭𝐡𝐞 𝐁𝐚𝐜𝐤𝐛𝐨𝐧𝐞 𝐨𝐟 𝐑𝐨𝐛𝐨𝐭𝐢𝐜𝐬? --> Currently , we are talking about how Ai Can Fast Learning Everything Now a Days . Ex - : (LLM ) Large Language Model has Learning Billion web pages , Books ,videos , other Ralated Real world Interaction By Information Data Learn Via Internet. --> However, robots do not learn merely by "reading." For them to learn, they require doing. -> Physical interaction data is crucial for a robot: -> How much force to apply when lifting an object -> How to maintain balance while walking -> How to react if an object slips or breaks -> How to handle real-time environmental changes --> This constitutes the biggest difference between AI models and robots. --> Internet data teaches AI to understand language. But physical-world data teaches robots to understand the real world. --> Every movement a robot makes, every sensor reading, every camera frame and even its mistakes transform into learning data. --> In robotics, data is not merely information. It is the "experience" gained by a robot. --> In the future, the companies that will dominate the field of robotics won't be those with just better models- but rather those with superior real-world interaction data. @axisrobotics @iamlogtun

@winterfarmerK @axisrobotics The interaction matters

“If you desire to understand intelligence, do not merely study thought, study interaction.” Had Leonardo da Vinci lived in the age of robotics, he probably would’ve obsessed over one thing above all else: Data. Not abstractly. Not theoretically. But data gathered

Why data is backbone of Robotics Large Language Models learned intelligence from internet-scale data. Billions of text examples taught machines how humans think, communicate and reason. Robots face a different challenge. They cannot learn from text alone. They must learn from physical interaction like movement, force, failure, correction and real-world feedback. This is where Physical AI emerges. While LLMs train on the internet, robots train on experience. Every grasp, collision, navigation attempt and simulation run becomes training data. Simulation-first infrastructure allows robots to generate millions of interactions safely before touching the real world. @axisrobotics focuses on this exact layer, transforming raw demonstrations and simulated environments into structured learning signals. By organizing datasets, cleaning trajectories and validating interactions through physics-based verification, robotic systems learn skills faster and transfer them reliably from simulation to reality. Data is the backbone of robotics. Just as internet data powered the AI revolution, physical interaction data will power autonomous machines. The future of intelligence will not only be digital, it will move, act and learn in the physical world. @plpiaoliang @Rainhoole @0xsexybanana @MPriosin71748 @0xzagen @chris_anm01 @iamlogtun

Day 1 — Why Data is the Backbone of Robotics 🧵 Everyone talks about robot hardware. The arms. The sensors. The humanoid movement. But the real backbone of robotics is not hardware. It’s DATA. 🤖 @0xzagen @0xsexybanana @Abyomiii

@DlicomApp When are the winners going to get the their reward?

We’ve rewarded the winners of the Whitelist Contest! 🔥 Please create a ticket in our Discord and include your wallet address for prize distribution. The full list here: dlicom-wl-contest-winners.notion.site So, where is everyone joining from? Drop your flag 👇🌍

After 6 epochs of testing, feedback, and improvements, we’re approaching a milestone. Beta testing has proven the protocol works. Zero slippage maintained across millions of swaps, thousands of users, and countless edge cases. Now it’s time to prepare for what comes next.

Everyone talks about AI. But very few talk about the fuel behind it: DATA. LLMs learned from internet data. Robots learn from real-world interaction data. Every physical movement is training data for the next generation of AI. @axisrobotics @iamlogtun @plpiaoliang