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- HOT + NEAR = Chain Abstracted Crypto
HOT Labs demonstrates how NEAR Intents enables chain-abstracted products that work seamlessly across networks. The session focuses on what is live today and how builders can replicate the approach.
- Towards Self Improving Autonomous Agents
What happens when an agent encounters a task it cannot solve? Instead of failing, it can now create the capability it needs. This session shows how agents can dynamically generate and use new tools at runtime, enabling systems to adapt and remain useful as requirements evolve.
- AI Without Backdoors
How privacy-first infrastructure can turn AI, data, and digital sovereignty into an investable public good where systems cannot betray their users.
- Why Agents Shouldn’t Hold Their Own Keys: Introducing The Shade Agent Framework
Learn how the Shade Agent Framework combines smart-contract-controlled key management with trusted execution environments to enable secure, verifiable agents in Web3.
- NEARCON Innovation Sandbox Review & Winners Presentation
The Innovation Sandbox was more than a hackathon. It was a high-speed pressure test for the 2026 NEAR stack. Join the Sandbox program lead for a comprehensive review of the 3-week sprint where builders moved beyond prototypes to ship mainnet-ready products.
- RHEA Finance: Intent-Based DeFi in Practice
RHEA Finance explores how intent-based infrastructure transforms DeFi from manual execution into programmable outcomes. The session covers how NEAR Intents enable seamless swaps, yield strategies, and capital flows while abstracting complexity for users. Attendees will see how intent-based execution unlocks more…
- Training 7B LLMs on Edge Devices: Bridging Decentralized AI and Resource Constraints
What it actually takes to fine-tune large language models on edge and federated hardware, and the tradeoffs teams face when deploying decentralized AI in the real world.
- Secure the Agent, Protect the Wallet
A technical briefing on using the SAFE-MCP security standard to implement cryptographic identity, least-privilege tool access, and non-custodial guardrails for autonomous agents.
- Intents in the Age of Onchain Agents
How intent-based systems coordinate execution, liquidity, and control as agents begin to act onchain.
- Towards NEARvana
Illia reviews the learnings and announcements from 2 amazing days at NEARCON, from new products and collaborations to insights on the agentic revolution. The future of AI is optimistic and human-centric.
- Why Private AI Matters
Illia Polosukhin and Erik Voorhees join Steven Levy of WIRED for a conversation on why privacy is becoming foundational to the next generation of intelligent systems. As AI moves from experimentation into capital markets, commerce, and critical infrastructure, the ability to execute without exposing sensitive data…
- The Path to Institutional Scale
What must be in place for institutions to scale AI-driven commerce responsibly.
- Intelligent Machines in the Physical World
How humans and AI systems collaborate in real workflows today, and where human judgment remains essential.
- Who Decides What Intelligence Becomes?
Who really shapes the future of human–machine systems once capital enters the picture.
- The ‘Bermuda Triangle’ Approach to Innovation and AI as the Next Regulatory Frontier
Bermuda became a leading jurisdiction for digital finance through its Digital Asset Business Act, establishing one of the world’s first comprehensive regulatory frameworks for digital assets. This conversation explores how close collaboration between government, regulator, and industry has enabled Bermuda to move…
- Legitimacy Is the Final Scaling Constraint
Why public trust and legitimacy ultimately determine whether AI-powered commerce can scale.
- Open Weights and the Future of Model Building
A discussion on the role of open-weight models, unresolved training challenges, and what comes next for scalable, trustworthy AI.
- Decentralized AI is Not a Crypto Issue… It’s a Business Issue
Reframing decentralized AI from a technical niche to a core business strategy for data sovereignty, cost efficiency, and long-term market autonomy.
- AI x Ethereum: Infrastructure for Human–Machine Coordination
Ethereum’s trajectory as a settlement layer for the emerging machine economy is examined through the lens of ongoing research across AI coordination, privacy, and security. The dAI team’s work spans coordination frameworks, privacy-preserving primitives, the 8004 stack, ZK API Credits, and protocol agents. Together,…
- Standards, Policy, and Safeguards for AI Systems
As AI systems move from experimentation into production, standards and safeguards become the foundation for trust, interoperability, and scale. This panel examines how policy, technical standards, and real-world safeguards are being shaped today and where gaps still exist between regulation, implementation, and market…
- AI in Production: Where Automation Meets Reality
How enterprises and financial platforms are adopting AI in practice, and where automation still meets hard limits.
- Capture & The Science of Hijacking
What biology, social systems, and AI governance teach us about building cooperation that resists exploitation at scale.
- What Enterprises Actually Ask About Private AI
The questions enterprises ask before approving private AI systems, from security guarantees to auditability and risk.
- Autonomous Systems In Practice
How real autonomous systems are assembled, evaluated, and constrained in practice, beyond demos and single-model abstractions.
