Introduction
You probably heard that now you can call ChatGPT over the phone. This seems unreal. It is cool but do you have an idea whom you’re gonna be talking to? The best you can do is to rely on service provider reputation – OpenAI OpCo, LLC.
Issues with Current AI
- Centralized Models: Most widely-used models like GPT-4 or Claude are closed-source and centralized.
- Dependence on Centralized Infrastructure: Even “open-source” models often run on centralized platforms like Groq or Together AI.
- Opaque Operations: It is impossible to verify how agents operate—including prompts, limitations, and stop lists.
- Data Privacy Concerns: Users have little visibility into how their data is handled or stored.
These challenges emphasize the need for responsible AI use and caution when relying on AI agents for critical decisions.
AI and Learning
Lucky you if you graduated from school before getting spoiled by AI.
But what if you are not able to verify stuff just because you have not developed learning skills, critical thinking, reasoning skills or just because you are too young or you got addicted to “helpful and efficient” AI agents? This could be a serious issue. Calculators began as costly, limited tools, giving schools years to adapt. Now, AI is transforming education instantly, impacting every subject. Students will cheat with AI but also integrate it into their work, challenging educators and questioning the relevance of traditional assignments.
Common understanding is that unless assignments are completed in class, it’s impossible to reliably determine if the work is human-made.
Verifiable AI can change this.
NEAR AI Cloud
NEAR.AI is the answer.
While in Alpha, some exciting features are already available to try. Nothing compares to learning by trying so let’s do it.
Go to the NEAR AI Cloud
You may sign in with your GitHub or Google account. The Dashboard is simple and clear – you you need is to explore docs and available models (many more to come).
At LNC we decided to choose this one.
How it is different from models provided by OpenAI, Anthropic and others? This particular inference is running OS model deepseek-chat-v3-0324 hosted in Trusted Execution Environment. This allows us to be sure that we indeed send requests to the known untweaked model and those requests CAN NOT be shared with 3rd parties!
🕺(L)Earn AI
The decentralized NEAR AI Cloud infrastructure represents a significant step forward in enabling user-owned AI. By offering transparency, control, and flexibility, NEAR AI Cloud empowers users to interact with AI models in a way that ensures data privacy and fosters trust.
LNC, as a NEAR pioneer, is at the forefront of leveraging this infrastructure for practical applications, including the live Learn AI agent, the Lean NEAR Tutor (in development), and the planned WooCommerce Shopping Agent.
Veritable AI in
Let’s see how it works at real. We encourage you to try it yourself to better understand the concept and think how you personally may benefit from using verifiable AI VS private one, eg. ChatGPT, Anthropic, Grok and so on.
Start chat with (L)Earn AI
Let 🕺 refer to LNC private knowledge base and think a bit
DYOR, review and reflex the answer. Explore the reference source, take quizzes – it helps you to memorize new concept efficiently
Now let’s see whom you are actually talking too here. See that beautiful green checkmark?
Here you can see that:
- You are talking to Deep-chat-v3-0324 model hosted at NEAR AI cloud in TEE
- You’re calling the model with this prompt and these parameters.
- Additional context provided by LNC RAG (knowledge base)
- Most exciting feature – nStamp! What is that? Please explore how digital finger prints work. nStamp is basically data hash written on NEAR blockchain. So this particular nStamp 7JjvLR5yfZotgebHiNw74gXckCezAxKDyih8C4AwxW5M contains hash of the (L)Earn AI. Anyone can verify the origin account, timestamp and the hash at NEAR explorer of their choice. So you don’t need to blindly trust website/chat/model admins – the rules are defined and known, and they’re written in stone (well, on the NEAR blockchain, which is even better). If any actor – user, agent or model tries to tweak the data for some reason – verification fails.
❓Ask
As a learner, you’re invited to actively participate in this innovative (L)Earn ecosystem. Ask the (L)Earn AI relevant questions, pay with nLEARNs, gain knowledge, and earn nLEARNs by contributing to the AI’s improvement.
Ask (L)Earn AI also available at Telegram
Check out the most recent (L)Earn AI🕺 agents:
📝Summarize
LNC Summarize🕺 Agent quickly breaks down complex guides into easy-to-understand summaries . It pulls out the most important points and explains them clearly, helping students grasp key concepts without wading through lengthy materials. This time-saving tool makes learning more efficient while keeping the essential information intact. If you’re not a native speaker, you can ask the agent to summarize it in your language!
✏Comment
In AI era it is safe to assume AI first commenting.
(L)Earn Comment Agent 🕺analyzes the topic of (L)Earners choice and drafts a comment.
The (l)Earner then reviews this draft and posts it with any necessary edits so the comment does reflect the user’s point.
Once comment posted, the nLEARNs reward is to be distributed according AI and user participation! 🤖and🕺 work and learn together!
✅Quiz
(L)Earn AI Quiz is the first step to introducing the future of learning – personalized, on demand verifiable AI assisted learning. Choose the difficulty and (L)Earn AI will create a quiz to help you memorize the major concepts!
As (L)Earn AI intelligence evolve most likely it will be integrated with other NEAR projects – for example as learning assistant chat bot at other Dapps and Telegram chats, or (L)Earn AI can also cooperate with other NEAR AI agents like NEAR Docs agent and help users to get more technical development related help.
🚩AI Feedback
If you like the answer, tap “Like it? Tip Author”—the authors gets 2 nL and the AI learns what works.
If you see a mistake, tap “Not quite right? Flag”—you earn 4 nL and help the AI improve.
Either action teaches the AI what works and what needs fixing while sharing incentives with you.
What is the unique feature of the (L)Earn AI agent in the NEAR ecosystem?
📚Happy (L)Earning!🕺
Updated: October 7, 2025
Top comment
Breaking down barriers to participation is crucial in ensuring that everyone has an equal opportunity to learn and grow. I think this strategy is a great example of how technology can be used to create more equitable and accessible learning experiences
I did not use (L)Earn AI 🕺 for this comment.It is 100% human made.
🧑 100% userBy prioritizing transparency, NEAR AI creates a stronger bond
The decentralized NEAR AI infrastructure marks a significant milestone in the development of user-owned AI, providing transparency, control, and flexibility. This empowerment enables users to interact with AI agents in a manner that safeguards data privacy and builds trust.
There are over 50 open-source models available already. As you can verify, Learn AI is utilizing a particular LLaMA model hosted on the NEAR AI infrastructure. By using NEAR accounts to interact with models via agents, you can be certain about the identity of the entity you are communicating with.
To interact with the platform, navigate to the Agents tab, where you will find all the agents added to the Registry, a decentralized storage solution that supports private and encrypted items. Take a moment to explore the Learn AI agent 0.0.1.
Centralized Models: The majority of widely-used models, such as GPT-4 and Claude, are closed-source and centralized, which can be a limitation. Dependence on Centralized Infrastructure: Even models marketed as "open-source" often rely on centralized platforms like Groq or Together AI, which can be a concern. Opaque Operations: The internal workings of agents, including their prompts, limitations, and stop lists, are impossible to verify, which lacks transparency. Data Privacy Concerns: Users have limited visibility into how their data is handled and stored, which raises significant data privacy concerns.
You can communicate with the agent within the NEAR AI hub, and more importantly, you can explore the agent's origin – learn-agent.learnclub.near – which includes the source code, prompt, and stopwords. Furthermore, if you want to modify it, for instance, remove a crucial stopword, you can simply clone it. However, be aware that you will be responsible for your cloned version.
Fortunate individuals who graduated from school prior to being heavily influenced by AI may have an advantage. However, what if one is unable to verify information due to underdeveloped learning skills, critical thinking, or reasoning abilities, or perhaps because of youth or addiction to "helpful and efficient" AI agents? This could pose a significant issue. Calculators initially emerged as costly, limited tools, allowing schools years to adapt. In contrast, AI is transforming education instantaneously,
Invite friends NOW! +2 nL Introduction: You've probably heard that you can now call ChatGPT over the phone. This seems unreal. However, do you know who you'll be talking to? The best you can do is rely on the service provider's reputation – OpenAI OpCo, LLC. Issues with Current AI: * Centralized Models: Most widely-used models like GPT-4 or Claude are closed-source and centralized. * Dependence on Centralized Infrastructure: Even "open-source" models often run on centralized platforms like Groq or Together AI. * Opaque Operations: It is impossible to verify how agents operate – including prompts, limitations, and stop lists. * Data Privacy Concerns: Users have little visibility into how their data is handled or stored. These challenges emphasize the need for responsible AI use and caution when relying on AI agents for critical decisions. AI and Learning: If you graduated from school before getting used to AI, you're lucky. But what if you're unable to verify information because you haven't developed learning skills, critical thinking, or reasoning skills, or because you're too young or have become too reliant on "helpful and efficient" AI agents? This could be a serious issue. Calculators began as costly, limited tools, giving schools years to adapt. Now, AI is transforming education instantly, impacting every subject. Students will cheat with AI but also integrate it into their work, challenging educators and questioning the relevance of traditional assignments. Common understanding is that unless assignments are completed in class, it's impossible to reliably determine if the work is human-made. Verifiable AI can change this. NEAR AI Hub: NEAR.AI is the answer. While in Alpha, some exciting features are already available to try. Nothing compares to learning by trying, so let's do it. Go to the NEAR AI Research Hub. You may sign in with your NEAR account to interact with the platform. At the Agents tab, you'll find all the agents added to the Registry – Decentralized storage with support of private and encrypted items. Find and check out the Learn AI agent 0.0.1.
Impactingly, AI will affect every subject. Students will not only use AI to cheat but also integrate it into their work, thereby challenging educators and questioning the relevance of traditional assignments. The common understanding is that unless assignments are completed in class, it's impossible to reliably determine whether the work is human-made.
Lucky are those who graduated from school before being spoiled by AI. However, what if you struggle to verify information because you haven't developed essential skills like learning, critical thinking, and reasoning, perhaps due to your young age or addiction to "helpful and efficient" AI agents? This could become a serious issue. Calculators, initially costly and limited tools, gave schools years to adapt. In contrast, AI is rapidly transforming education, impacting every subject. While students may cheat with AI, they will also integrate it into their work, challenging educators and questioning the relevance of traditional assignments. The common understanding is that, unless assignments are completed in class, it's impossible to reliably determine if the work is human-made. Nevertheless, verifiable AI can change this.
LNC, as a NEAR pioneer, is at the forefront of leveraging this infrastructure for practical applications, including the live Learn AI agent, the Lean NEAR Tutor (currently in development), and the planned WooCommerce Shopping Agent. As a learner, you are invited to actively participate in this innovative (L)Earn ecosystem. Ask the (L)Earn AI relevant questions, pay with nLEARNs, gain knowledge, and earn nLEARNs by contributing to the AI's improvement.