2026 dawns with @NeoxInfra & @arbusai
NeoxInfra provides decentralized computing power, while Arbusai analyzes network behavior. Together, they link infrastructure and smart data, enhancing dApp services and data-driven decision-making.
@arbuschirps
💊 Community Question:
Can AI help discover and develop new medicines much faster and cheaper than traditional methods?
Viewpoint A:
Yes. AI can rapidly test millions of drug ideas, cut early research time and costs dramatically, and in some cases bring medicines to patients years faster.
Viewpoint B:
Not fully. AI helps at the start, but human trials are still slow, expensive, and unpredictable, keeping overall drug development costly and time-consuming.
If AI is expected to change how medicines are made, is the impact already real or mostly promise?
👇 Drop A, B, or share your perspective.
🩺 Community Question
Is personalized care realistic for low- and middle-income countries (LMICs), or is it still a model built mainly for high-income countries (HICs)?
Viewpoint A: Gradually achievable in LMICs
Personalized care can scale over time. Costs of genetic and digital tools are falling, AI-driven insights are becoming more accessible, and hybrid models already work in areas like oncology and chronic care. With the right partnerships and focus, personalization doesn’t have to remain a luxury.
Viewpoint B: Not practical for most LMICs
For many LMICs, personalized care remains unrealistic. High costs, limited infrastructure, workforce gaps, and unequal access make large-scale adoption difficult. Healthcare systems should prioritize proven, low-cost interventions like vaccination, screening, and basic prevention.
Or is the future of healthcare built by combining both approaches?
👇 Drop A, B, or share your perspective.
Tag someone who should weigh in on this.
🩺Community Question:
Should healthcare prioritize personalized care for individuals, or one-size-fits-all care for everyone?
Viewpoint A: One-size-fits-all as the default
Standardized care is more practical, affordable, and equitable for large populations and resource-limited settings. It delivers consistent, proven outcomes at scale, reduces disparities, and avoids the high cost and access barriers of full personalization.
Viewpoint B: Shift to personalized care
Personalized care is more precise, effective, and preventive. Leveraging genetics, AI, and real-world insights enables better outcomes, fewer side effects, and long-term cost savings as personalization becomes increasingly accessible.
Have you benefited from standardized care or struggled because it wasn’t personalized enough?
👇 Share A, B, or a short personal insight.
Tag someone who should be part of this conversation.
🩺Community Question:
Should healthcare prioritize personalized care for individuals, or one-size-fits-all care for everyone?
Viewpoint A: One-size-fits-all as the default
Standardized care is more practical, affordable, and equitable for large populations and resource-limited settings. It delivers consistent, proven outcomes at scale, reduces disparities, and avoids the high cost and access barriers of full personalization.
Viewpoint B: Shift to personalized care
Personalized care is more precise, effective, and preventive. Leveraging genetics, AI, and real-world insights enables better outcomes, fewer side effects, and long-term cost savings as personalization becomes increasingly accessible.
Have you benefited from standardized care or struggled because it wasn’t personalized enough?
👇 Share A, B, or a short personal insight.
Tag someone who should be part of this conversation.
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👉 https://t.co/gwbTYAcWe5
$DN is the core of DeepNode, tying all participating elements together and making sure the ecosystem is fair, transparent and community-powered.
Our token can be used to:
- Stake and receive yield
- Reward platform contributors
- Get access to different AI models
- Vote on governance decisions
TGE is coming on January 9th.
$DN will start a new AI revolution.
DeepNode’s whitepaper is live!
Dive into the foundations of a decentralized AI network where intelligence is owned by its contributors, not monopolies.
Models, compute, and data coordinated transparently, with fair rewards for real value.
Explore what makes DeepNode uniquely positioned to bring AI back to the people who build it.
Read it here 👇
Meet James Ruff @DeepNode_James
CEO & Co-Founder of DeepNode.
Formerly JP Morgan, McKinsey & JLabs.
13+ years in applied math, AI/ML, and data science.
He was building AI before it became a buzzword.
Now he’s taking the next step, building permissionless infrastructure for open intelligence.
Give him a follow if you want real insight into where AI needs to go next.
Introducing the DeepNode Foundation @DNFoundation_
Established to steward the DeepNode ecosystem.
The protocol will continue to be community-owned, transparent and open by design.
Decentralized by design. Strengthened by the Foundation.
🚀 HELLO26 Airdrop is LIVE!
Use 🔑 keys to open boxes and discover rewards inside.
👤 Earn more chances by inviting friends
✅ Complete simple steps to qualify
💎 Early users get better chances
This is just the beginning - don’t miss out!
➡️ Start now: https://t.co/Zwz46cBDdz
Good luck 🍀 Let’s see how lucky you are!
#hello26 #base #farcaster #zora #H26
$6.5M
That’s how much we raised across three funding rounds.
Thanks to all the top-tier funds and operators across Web3, AI, and Venture that believe in us:
Blockchain Founders Fund • Side Door Ventures • TBV • IOBC Capital • FOMO Ventures • 3Commas Capital • Kinetic Kollective • Prom Ventures • Nestoris • JLabs Digital • Zana Ventures • WildSage Labs • Rizzo
The momentum is real… and we’re just getting started.
Next up: TGE.