MMac 馃嚫馃嚞 retweeted
DINERO is in Singapore for TOKEN2049. Some of the team and a handful of our members are in town all week for TOKEN2049 In attendance: @thayhor3 @darhtch @ajjeee__ @realMMac @dubby__3th @genjutsuitach and others we welcome conversations with founders, builders and partners.
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At #SuiBasecamp, who鈥檚 here?
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Finally the long awaited, @virtuals_io just shipped it鈥檚 app, reach out if you need invitation frens 馃挌
We鈥檝e spent years figuring out how to make AI manage money. ACP, EconomyOS, Butler on X, agentic trading competitions. We鈥檝e tried different approaches, learned what worked and had to rethink what didn鈥檛. Personal AI services keep getting smarter. Getting them to put your money to work is the next big step. Introducing Virtuals App, now in closed beta. Your personal AI, with a wallet and access to markets. Talk through ideas, research investments and put money to work, all inside your group chat with friends.
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Nice meeting builders at @0G_labs Dev Day 馃挄
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Evening from SG 馃嚫馃嚞 Who鈥檚 here?
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Watching overcall for quite a while, they鈥檙e building a skill based markets. Aped $OVER here at 1m fdv, send it 0x6245Db7f52379bD9757c9DdcE6519768FfaB3a4F
The heartbeat powering Overcall is here: $OVER has launched on Robinhood Chain, through @virtuals_io! Always liquid skill-based markets proven onchain. Now fully backed by a native token economy. Make the call, like never before. CA: 0x6245Db7f52379bD9757c9DdcE6519768FfaB3a4F
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Gonna be a good month 馃檹
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GM, let鈥檚 get it
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We are building the foundation for an agentic economy together with @base
We are building the foundation for an agentic economy together with @base
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I鈥檓 so surprised that the robot made it to the peak and ABLE TO WALK AND WAVEEEEE
I鈥檓 so surprised that the robot made it to the peak and ABLE TO WALK AND WAVEEEEE
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June, what have you got for me ? 馃憖
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Thinking about agents
Thinking about agents
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April, don鈥檛 fool me pls 馃檹
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March will be profitable! 馃洂
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Chat, are we back? @MMactweets wake up big bro 馃憖
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MMac 馃嚫馃嚞 retweeted
Mechanical failure rarely happens all at once. It starts as small inefficiencies that go unnoticed until they become expensive problems. @xmaquina focuses on proactive, continuous maintenance, where operational data surfaces early signs of wear, drift, or declining efficiency before performance drops sharply. Instead of disruptive shutdowns, the system allows real time recalibration, workload redistribution, and supportive intervention, leading to more stable output and longer machine life cycles. Also @PerceptronNTWK brings that same philosophy of visibility and steady evolution to AI systems. Contributors can see how their data and participation shape networks over time, rather than progress being hidden behind closed processes. Community input becomes a functional force that helps models adapt with broader perspectives, reducing blind spots and allowing intelligence to develop through consistent, collective contribution.
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