ทวีตที่ปักหมุด
Robotics doesn’t scale through better demos.
It scales through shared coordination layers.
Most teams are still optimizing individual machines.
@openmind_agi is building the layer those machines will coordinate on.
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GENESIS✨🥷
8K posts
Bro to Bro: build your x account now
Just say “hello” and gain 750 mutuals here.
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Season 2 of the Mention Board is live on @duel_duck.
New season, zero legacy, higher standards.
This isn’t about noise, it’s about signal. Rankings aren’t won by hype, but by consistency, strategy, and fair competition. Every mention is a data point.
The board doesn’t reward who talks the most.
It reveals who actually adds value.
Let’s see who truly earns the top spots.
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One underrated part of launching an open attention market is seeing how people try to game it.
In the first 100 hours, $WOM crossed 2,000+ users and processed 12,000+ tweets across all types of X users founders, CT veterans, skeptics, believers and lurkers.
As expected, the usual InfoFi tactics showed up: GM rings, copypastas, engagement pods.
Around 640 accounts were already flagged.
What I like is how @womdotfun handled it — instead of pruning them mid-campaign, they kept everything visible while filtering rewards at the settlement layer. That’s how you actually train a system for real-world behavior.
Markets don’t scale on perfect actors. They scale on real incentives and real psychology.
This is why the shift from InfoFi to AttentionFi feels important. Watching $WOM build this in the open has been refreshing.
InfoFi was the warm-up. AttentionFi is where it gets serious.
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@danchinacryptor @FractionAI_xyz The foundation is getting stronger each update
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Good morning, builders and innovators. ☀️
At @FractionAI_xyz, each new day marks another step toward a smarter, more reliable AI-powered economy. While others chase trends, FractionAI remains focused on what truly mattersnbuilding intelligent agents, reinforcing stable systems, and delivering infrastructure designed for long-term impact.
This is where consistency meets vision, and innovation is powered by disciplined execution. Let’s keep building, refining, and moving forward one solid layer at a time.
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Robots don’t scale when every maker speaks a different language.
@konnex_world fixes this with UTL, a universal task language, and verifies real-world work using Proof of Physical Work backed by sensor data and, pushing robots toward autonomous economic agents in the DePIN model
Amelia_090@amelia_7089
This isn’t DeFi for bots,it’s coordination for machines. From logistics and energy to AI agents trading services, @konnex_world is building the economic layer for physical work. With #USD1 settlement and Proof of Physical Work,it’s aiming to be the TCP/IP of the machine economy.
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Hey fam💙
Good morning CT
New day to go all in again
Crypto market epics:
$BTC at $95k
$ETH at $3,4k
@0xMiden execution with a zk-first VM built for scalability, privacy & verified
@Kindred_AI autonomous companions that coordinate work, memory, and intent across tools.
LEO🐬@Leo_Sol9
Hey fams gn 💙 The crypto market is recovery See $BTC at $93k $100k soon Why $ETH at 3,2k $Sol 143+ @MemeMax_Fi camapgain phase 2. $800k for 500 yapers I'm trying to grab my position. @miranetwork trustless AI where models, data, and execution are verifiable on-chain.
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Hop into the Crafts Creator Campaign & compete for $2,000 rewards.
@mattlefun= gamified Solana trading. Your swaps earn points to upgrade character and dominate in a survival shooter game.
Get started → app.mattle.fun
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The @RaylsLabs ecosystem is not monolithic. Its modular design allows different components to interact seamlessly, giving participants flexibility.
- Compute Marketplace + Proof System : A developer can rent 100 H100s for training, and the proof system automatically verifies the work, enabling payment to the node operators without need for trust.
- SDK + Marketplace : A researcher uses the Rayls SDK to effortlessly submit a complex distributed training job, which the marketplace automatically splits across providers in North America and Europe.
- Token + Governance : Token holders vote to direct a portion of treasury grants to a team building an open source inference optimization tool for the network, enhancing value for all developers.
Ølàteck.@0lateck
The @RaylsLabs ecosystem is engineered to create a self reinforcing growth loop - Attract Supply : Competitive earnings and a seamless onboarding process (via Rayls SDK/Node Software) attract GPU providers globally. - Increase Utility & Lower Cost : This growing supply drives down compute costs and increases availability, which in turn attracts more AI developers. - Generate Fees & Value : Increased job volume generates protocol fees, creating value for stakers and token holders and funding ecosystem development. - Enhance Governance & Security : A valuable token and engaged community lead to robust, decentralized governance and network security. - Attract Builders : A thriving base of users and a clear economic model attracts integrators and builders, who expand the ecosystem's capabilities (e.g., data tools, specialized compute markets). - Repeat : A richer ecosystem attracts even more supply and demand, restarting and amplifying the cycle.
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