Videos
Talks, tutorials and demos from NEAR Protocol, NEAR DevHub, NEAR AI. 1,791 of them come with a transcript that you can search here, read line by line with the time of each line, or fetch through MCP.
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1,839 videos- What happens when AI writes code humans can’t review?
AI can already create codebases too large and complex for a human to reasonably review.
- Why is AI so good at formal proofs?
A mathematical proof has a perfect feedback loop.
- OpenRouter Now Routes to NEAR AI (TEE-Backed, Zero Retention)
NEAR AI is now a provider on OpenRouter. If you already route through OpenRouter, you can pin private inference for a model in a couple of clicks, with the queries decrypted only inside a TEE and no retention on the provider side.
- When code controls money, correctness matters.
Smart contracts, Intents and other mission-critical systems can control huge amounts of value.
- What is a BAA? HIPAA, BAAs, and TEEs: Two Different Questions for AI Builders
A BAA does not stop anyone from reading your users' health data. It decides who is legally on the hook when something goes wrong. Private inference answers a different question: who can technically see the bytes while a prompt is processed. If you're building anything that touches PHI, you need to know which one you…
- Formal verification just got 250x cheaper.
Formal verification becoming possible was step one.
- When billions are at stake, “the code looks right” isn’t enough.
Human review can miss things. AI review can too.
- Formal Verification in the Age of AI | Illia Polosukhin and Alex Skidanov
Illia Polosukhin and Alex discuss why formal verification is becoming increasingly important in the age of AI.
- Agentic commerce needs elastic infrastructure.
More agents means more transactions, more storage and more demand for blockspace.
- OpenCode + NEAR AI Cloud: Private Inference for Your Coding Agent
Every AI coding agent sends your code somewhere. This one sends it into a TEE.
- A blockchain that grows with demand.
Think of NEAR like a growing city.
- Billions of agents need a blockchain that can scale.
AI agents will transact at a scale humans never could.
- Billions of AI agents will need an economy.
Personal agents. Company agents. Cars. Devices.
- Dynamic Resharding live on Mainnet | Illia Polosukhin
Illia Polosukhin explains how NEAR is scaling for the agent economy.
- The internet already has a root of trust. AI needs one too.
Every time you visit a website, there are systems in the background telling you where to connect and whether that connection can be trusted.
- Who decides which AI models you can trust?
AI still relies on centralized authorities to decide what gets approved, updated and trusted.
- AI isn't a toy anymore.
AI has moved beyond experimentation.
- What happens if your business depends on AI you don’t control?
Businesses are increasingly using AI to make critical decisions.
- Do you actually control your AI?
If someone else can decide what you're allowed to ask, what data they can see, or whether you can access your AI at all — you're not really in control.
- The Case for User-Owned AI | Illia Polosukhin
Illia Polosukhin explains why AI needs to belong to its users.
- Crypto shouldn't feel like 100 different apps.
Trade on Hyperliquid.
- Onchain transparency has a business problem.
Payments. Treasury movements. Customer activity.
- Getting onchain shouldn't feel like getting onchain.
Getting onchain could feel as simple as making a bank transfer.
