Xeffy is currently preparing updates on other information platforms and PR materials regarding the fundraising for the Angel Round and Private Round, which successfully concluded at the end of May.
The content is being prepared and updated as quickly as possible, and we plan to share it through our official SNS channels once it is uploaded.
Thank you always!
Xeffy's Community MiniApp has launched! 🚀
Join us: https://t.co/hmAJIkcSfD
Access the Xeffy app, become an early contributor, and contribute to RWA mass adoption!
Early participants and contributors will be provided with our ecosystem token $Xef 🎁
Mark June 2026 on your calendars!👀🪂
Invite your friends and earn points by using the app!
Real talk: most people learn about healthcare the hard way after something goes wrong. Imagine changing that narrative together.
Discuss with me on @LifeNetwork_AI: https://t.co/SC6GHKKhDg
Code: XQIJ20T
#LifeAITestnet#HealthcareAI
Earn by speaking your truth about your health experiences.
What worked? What failed you?
Jump in with me on @LifeNetwork_AI: https://t.co/SC6GHKKhDg
Code: XQIJ20T
#LifeAITestnet#HealthcareAI
🤖 Community Question:
Do multi-agent systems truly scale healthcare or just scale complexity?
Viewpoint A: Scalable Coordination
Healthcare workflows are too complex for a single agent.
Multi-agent systems split tasks, cross-check outputs, and improve efficiency at scale, especially in areas like care coordination and prior authorization. With the right guardrails, they offer a practical path forward.
Viewpoint B: Compounding Risk
More agents also mean more risk.
Errors can cascade, decisions become harder to explain, and accountability gets blurred. As systems grow, governance becomes more difficult and scaling too early increases exposure.
👇 Drop A or B and share your perspective
🤖 Community Question:
Do multi-agent systems truly scale healthcare or just scale complexity?
Viewpoint A: Scalable Coordination
Healthcare workflows are too complex for a single agent.
Multi-agent systems split tasks, cross-check outputs, and improve efficiency at scale, especially in areas like care coordination and prior authorization. With the right guardrails, they offer a practical path forward.
Viewpoint B: Compounding Risk
More agents also mean more risk.
Errors can cascade, decisions become harder to explain, and accountability gets blurred. As systems grow, governance becomes more difficult and scaling too early increases exposure.
👇 Drop A or B and share your perspective
Most "Market Making" on Solana is terrible.
The best teams don't share their tech stack.
Today that changes. Sonic SVM acquired @ForgeX_tools, a battle-tested MM toolkit for devs/agents.
We're open-sourcing it today
GitHub: https://t.co/JE0KBKEdQN
Here's why it matters👇
🚀 RightUp x Sonic SVM: Round 5 Beta Test – $3,000 Rewards Campaign NOW LIVE!
The biggest IRO event is here! Participate in the Round 5 Beta Test Campaign to secure your share of the 75,000 $SONIC ($3,000 worth) Triple Rewards Pool! 🌀🛡️
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🔥 100 Lucky Winners (Increased from 40 – much higher odds!)
🔥 80% OFF Right: Winners can secure 625 $SONIC ($25 worth) for only $5. 💎
🏆 Leaderboard Expansion: From Top 3 to Top 5 with Double Rewards
We are rewarding our top contributors! The invite race now pays out to the Top 5:
🥇 1st: 5,000 $SONIC ($200 worth)
🥈 2nd: 2,500 $SONIC ($100 worth)
🥉 3rd: 2,500 $SONIC ($100 worth)
🏅 4th: 1,250 $SONIC ($50 worth)
🏅 5th: 1,250 $SONIC ($50 worth)
📝 How to Join:
1️⃣ Launch Portal: https://t.co/S9JqXtwMoH
2️⃣ Follow: @SonicSVM & @Rightup_fun on X.
3️⃣ Quote the tweets & Join our Community.
4️⃣ Apply: Apply for "SONIC IRO Test".
5️⃣ Claim & Exercise: Winners claim and exercise their RightUp Certificates to get $SONIC rewards.
⏱️ Timeline (GMT+8):
📅 Apply Period: 20:30 Mar 26 – 20:30 Mar 30
📅 Lucky Draw: 20:30 – 22:30 Mar 30
📅 Claim & Exercise: 22:30 Mar 30 – 24:00 Apr 1
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About Sonic SVM (@SonicSVM):
Sonic SVM is the programmable Attention Network on @Solana, bridging on-chain activity and off-chain signals to build transparent Attention Capital Markets.
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#RightUp #SonicSVM #SONIC #Solana #Airdrop #Rewards #Giveaway #IRO #SFT #BTC #SOL
🌐 Community Question: With soaring investment and valuations in AI, is the AI bubble real or a myth?
Viewpoint A: The AI Bubble Is a Myth
Supporters argue that AI reflects a fundamental shift in computing. Demand for AI infrastructure continues to grow rapidly as industries adopt AI across areas such as healthcare, robotics, and digital biology. They also point to falling compute costs, improving reasoning capabilities, and expanding real-world applications as evidence that the growth is driven by genuine technological progress rather than speculation.
Viewpoint B: The AI Bubble Is Real
Critics warn that AI valuations and investment could be driven by hype and expectations of rapid breakthroughs. They argue that spending on infrastructure and startups could outpace real revenue and adoption, creating risks of market correction similar to the Dot-com Bubble.
👇 Drop A or B and share your perspective
🌐 Community Question: With soaring investment and valuations in AI, is the AI bubble real or a myth?
Viewpoint A: The AI Bubble Is a Myth
Supporters argue that AI reflects a fundamental shift in computing. Demand for AI infrastructure continues to grow rapidly as industries adopt AI across areas such as healthcare, robotics, and digital biology. They also point to falling compute costs, improving reasoning capabilities, and expanding real-world applications as evidence that the growth is driven by genuine technological progress rather than speculation.
Viewpoint B: The AI Bubble Is Real
Critics warn that AI valuations and investment could be driven by hype and expectations of rapid breakthroughs. They argue that spending on infrastructure and startups could outpace real revenue and adoption, creating risks of market correction similar to the Dot-com Bubble.
👇 Drop A or B and share your perspective
The health system isn't designed by the people who use it every day.
Let's change that starting here.
Join me: https://t.co/SC6GHKKhDg
Code: XQIJ20T
#LifeAITestnet#HealthcareAI
🌐 Community Question:
As the internet evolves to support autonomous AI agents, splitting into the Human Web (interfaces for people) and the Agent Web (API-driven infrastructure for machines), will this shift drive innovation and automation, or fragment and dehumanize the online experience?
Viewpoint A: A New Layer of Internet Intelligence
The rise of AI agents interacting directly with digital systems could transform the internet into a more intelligent infrastructure. Agents can automate tasks such as trading, payments, data analysis, and content generation, enabling a new agent economy. This machine-to-machine coordination may significantly improve efficiency, scalability, and innovation across industries.
Viewpoint B: Erosion of the Human-Centered Web
Expanding the Agent Web may reduce the role of the Human Web, as machines increasingly interact through APIs rather than human interfaces. This could create privacy and security risks, weaken traditional web models, and concentrate power in automated systems, potentially leading to a fragmented internet with less authentic human participation.
👇 Drop A or B and share your perspective
🌐 Community Question:
As the internet evolves to support autonomous AI agents, splitting into the Human Web (interfaces for people) and the Agent Web (API-driven infrastructure for machines), will this shift drive innovation and automation, or fragment and dehumanize the online experience?
Viewpoint A: A New Layer of Internet Intelligence
The rise of AI agents interacting directly with digital systems could transform the internet into a more intelligent infrastructure. Agents can automate tasks such as trading, payments, data analysis, and content generation, enabling a new agent economy. This machine-to-machine coordination may significantly improve efficiency, scalability, and innovation across industries.
Viewpoint B: Erosion of the Human-Centered Web
Expanding the Agent Web may reduce the role of the Human Web, as machines increasingly interact through APIs rather than human interfaces. This could create privacy and security risks, weaken traditional web models, and concentrate power in automated systems, potentially leading to a fragmented internet with less authentic human participation.
👇 Drop A or B and share your perspective
Why is the path to health so complicated, but the path to illness so easy? Debate to earn with @LifeNetwork_AI and bring your perspective to the table.
Discuss with me: https://t.co/SC6GHKKhDg
Code: XQIJ20T
#LifeAITestnet#HealthcareAI
🩺 Community Question: Is the “AI five layer cake” framework sufficient to power healthcare AI systems?
(The “AI five layer cake” framework: Energy → Chips → Infrastructure → Models → Applications, introduced by Jensen Huang of NVIDIA)
Viewpoint A: Yes
Healthcare AI aligns with the stack. Energy, chips, and infrastructure enable intelligence generation at scale. Medical models, trained on clinical and biomedical data, interpret complex signals; applications then deliver value through radiology assistance, drug discovery, and clinical workflow automation.
Viewpoint B: Not entirely
The stack shows how capability is produced, but impact depends on translating that capability into clinical use. Strict validation, regulation, and the need to integrate with hospital workflows slow translation; consequently, healthcare applications often scale more slowly than the underlying AI stack.
👇Drop A or B and share your perspective
🩺 Community Question: Is the “AI five layer cake” framework sufficient to power healthcare AI systems?
(The “AI five layer cake” framework: Energy → Chips → Infrastructure → Models → Applications, introduced by Jensen Huang of NVIDIA)
Viewpoint A: Yes
Healthcare AI aligns with the stack. Energy, chips, and infrastructure enable intelligence generation at scale. Medical models, trained on clinical and biomedical data, interpret complex signals; applications then deliver value through radiology assistance, drug discovery, and clinical workflow automation.
Viewpoint B: Not entirely
The stack shows how capability is produced, but impact depends on translating that capability into clinical use. Strict validation, regulation, and the need to integrate with hospital workflows slow translation; consequently, healthcare applications often scale more slowly than the underlying AI stack.
👇Drop A or B and share your perspective
🩺 Community Question
Is blockchain ready for healthcare infrastructure at scale?
Viewpoint A: Structural barriers remain.
Blockchain still struggles with scalability for large health datasets, integration with legacy hospital systems, and regulatory compliance. Operational adoption remains limited, with most initiatives still at the pilot stage.
Viewpoint B: The technology is maturing.
New blockchain architectures are improving speed, efficiency, and scalability. Hybrid models are advancing interoperability with existing healthcare systems. Early pilots also show progress toward secure, patient controlled data sharing.
👇 Comment A or B and share your perspective.