

Emcan
1K posts





🔐 Update on the Upcoming Verification Process We know many of you are looking forward to verification - and we’re stepping closer to that moment. This process is designed to be structured, transparent, and fair, ensuring every qualified Human Node moves forward with clarity. Here’s how the flow will work: Phase 1: Matching You begin by tapping “Match Curator.” An anonymous list will appear, and you can choose a curator to match with. After selecting, you enter the matching state and wait to be successfully picked. Once picked, your application advances to the submission stage. Phase 2: Submission When it’s your turn, a strict 24-hour countdown will start. You must complete and submit your documents within this time. Missing the deadline may move you to a later pool, delaying your progress. There are 3 submission levels. After completing all required steps, you press Submit, and your status changes to In Review. Phase 3: Verification Process This is the last stage - your application will be reviewed carefully. This process is more than a technical update - it’s a defining milestone before full verification rollout. Prepare early. Understand each phase. Be ready when your turn comes! #InterLink #ITLG #ITL






🤖 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: 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: 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