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OpenAI Overview

About OpenAI
OpenAI is a leading AI research lab founded in 2015, focused on creating friendly AGI (Artificial General Intelligence) that is safe and beneficial for humanity. The organization develops state-of-the-art AI models and tools across various domains, including natural language processing, image generation, and voice recognition.

General Information

AttributeDetails
CompanyOpenAI
FoundedDecember 11, 2015
RepositoryGitHub
DiscordJoin the OpenAI channel on Discord

This is a quick summary of some of OpenAI's widely adopted and impactful models:

  1. GPT-4 – The fourth-generation language model, multimodal, capable of handling text and images with advanced reasoning and safety features.
  2. GPT-3 – Known for its versatility, GPT-3 is used in diverse applications such as chatbots, content creation, and interactive experiences.
  3. GPT-4o Family – A multimodal powerhouse, GPT-4o extends OpenAI’s capabilities in text, image, and voice applications.
  4. o1 Series – Optimized for reasoning and complex problem-solving in fields like math and coding.
  5. Whisper – A robust automatic speech recognition (ASR) model handling multiple languages and accents with impressive accuracy.
  6. DALL-E 2 – A model generating realistic images from text descriptions, popular in creative fields for visual content creation.
  7. Codex – Powering GitHub Copilot, Codex converts natural language into code, facilitating faster programming and code generation.

Integrating OpenAI's Technology

OpenAI provides extensive documentation, APIs, and resources for developers to implement its models across diverse applications. While specific tech pages for individual models are in development, we encourage developers to leverage OpenAI’s unified resources.

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OpenAI AI Technologies Hackathon projects

Discover innovative solutions crafted with OpenAI AI Technologies, developed by our community members during our engaging hackathons.

Proof Of Ship

Proof Of Ship

Proof of Ship is the first onchain credit system where market confidence in your ability to ship directly determines your available liquidity. Backers place 1.5x-3x multiplier bets on project milestones using smart contracts on Arc, creating a virtuous cycle of shipping and funding. Key Features: - Milestone Betting: Backers stake USDC on builder milestones with configurable multipliers. Successful delivery returns stake plus multiplier bonus; failed milestones forfeit stake to the pool. - AI Scout Agent: Our pay-per-query AI analyzes projects using GitHub velocity (40%), completeness (30%), and community signals (30%). Cost: just $0.01 per scan, settled via Circle's x402 nanopayment protocol on Arc. - Circle Arc Integration: All payments and settlements happen on Arc Testnet using USDC, with zero gas fees and sub-second confirmation via Circle's batched gateway settlement. - Real-Time Backing Dashboard: Track portfolio positions, projected ROI, and Compass Scores across multiple ecosystems (Base, Arbitrum, Optimism, Linea, Celo). Tech Stack: Next.js frontend, Firebase, Hardhat smart contracts, LiFi for cross-chain, Circle SDK for payments, x402 nanopayments for agent settlement. Demo: Visit proof-of-ship.vercel.app, connect your wallet, and explore the Expedition marketplace to back promising projects or run the AI Scout.

Proof Of Ship

Proof Of Ship

Proof of Ship is the first onchain credit system where market confidence in your ability to ship directly determines your available liquidity. Backers place 1.5x-3x multiplier bets on project milestones using smart contracts on Arc, creating a virtuous cycle of shipping and funding. Key Features: - Milestone Betting: Backers stake USDC on builder milestones with configurable multipliers. Successful delivery returns stake plus multiplier bonus; failed milestones forfeit stake to the pool. - AI Scout Agent: Our pay-per-query AI analyzes projects using GitHub velocity (40%), completeness (30%), and community signals (30%). Cost: just $0.01 per scan, settled via Circle's x402 nanopayment protocol on Arc. - Circle Arc Integration: All payments and settlements happen on Arc Testnet using USDC, with zero gas fees and sub-second confirmation via Circle's batched gateway settlement. - Real-Time Backing Dashboard: Track portfolio positions, projected ROI, and Compass Scores across multiple ecosystems (Base, Arbitrum, Optimism, Linea, Celo). Tech Stack: Next.js frontend, Firebase, Hardhat smart contracts, LiFi for cross-chain, Circle SDK for payments, x402 nanopayments for agent settlement. Demo: Visit proof-of-ship.vercel.app, connect your wallet, and explore the Expedition marketplace to back promising projects or run the AI Scout.

Arc Data Piper

Arc Data Piper

ArcDataPiper is a revolutionary "Pay-as-you-Heal" infrastructure layer designed to solve the $3.1 trillion problem of data quality and pipeline downtime. Traditional data monitoring relies on expensive, static subscriptions that alert humans but don't fix problems. ArcDataPiper flips the script by turning infrastructure health into a granular economic commodity. Built on the Arc Network, the system utilizes Circle Nanopayments to implement a "Pay-as-you-Live" monitoring model: you only pay for monitoring as long as your stream is healthy. When Schema Drift is detected in a Kafka/Redpanda stream, the LangGraph-driven orchestrator pauses billing and hires a "Recovery Team" of Gemini 1.5 Pro agents. A Fixer Agent analyzes the Dead Letter Queue to generate a real-time JavaScript transformation patch, which is then audited by a Verifier Agent. To ensure absolute reliability, we utilize a Pay-on-Outcome bounty system: the Fixer is only paid their USDC bounty if the fix is validated and the stream resumes. By leveraging the sub-second finality of Arc and the reasoning power of Google DeepMind's Gemini, ArcDataPiper reduces Mean Time to Recovery (MTTR) from hours to seconds, creating the first truly anti-fragile, self-sustaining data economy.

NOMOS — Hire AI Workforces, Paid Per Action

NOMOS — Hire AI Workforces, Paid Per Action

Most people who could benefit from agentic AI today can't access it. Brand managers, e-commerce operators, and marketing leads have real work to ship —but they're stuck on a treadmill of new tools, subscriptions, and paradigms that move faster than anyone can keep up with. And the few teams technically capable of building agent workflows themselves hit a second wall: every subtask gets routed to the most expensive frontier model, and setup costs spiral. NOMOS is a marketplace of AI workforces. Pre-built squads of specialist agents — researchers, analysts, writers, support agents, and more — that anyone can hire in one click to deliver finished business work. No prompts to write, no models to pick, no agents to wire. An optimization engine decomposes each goal into subtasks and routes them to the cheapest capable model, so every run costs a fraction of DIY. The marketplace is two-sided: operators on the demand side, developers and AI builders on the supply side, listing optimized squads and earning every time one is hired. NOMOS becomes the monetization layer for the people who actually build agentic systems — and the place non-AI-native teams come to get work done. For this hackathon, we're integrating Circle's Nanopayments and USDC settlement on Arc as the native economic layer of the platform. Every squad run, every subtask between specialist agents, and every builder payout becomes a sub-cent USDC transaction on Arc. This is exactly the use case nanopayments were built for: high-frequency, micro-value, agent-driven transactions where traditional rails collapse under volume or fees. Arc's predictable, dollar-denominated USDC fees and sub-second finality make per-action metering economically viable for the first time — and unlock NOMOS's broader vision: a marketplace where agents themselves hire squads and pay each other directly. Today: humans hire AI teams. Tomorrow: so do their agents. NOMOS is the marketplace and the payment layer for both.

NOMOS — Hire AI Workforces, Paid Per Action

NOMOS — Hire AI Workforces, Paid Per Action

Most people who could benefit from agentic AI today can't access it. Brand managers, e-commerce operators, and marketing leads have real work to ship —but they're stuck on a treadmill of new tools, subscriptions, and paradigms that move faster than anyone can keep up with. And the few teams technically capable of building agent workflows themselves hit a second wall: every subtask gets routed to the most expensive frontier model, and setup costs spiral. NOMOS is a marketplace of AI workforces. Pre-built squads of specialist agents — researchers, analysts, writers, support agents, and more — that anyone can hire in one click to deliver finished business work. No prompts to write, no models to pick, no agents to wire. An optimization engine decomposes each goal into subtasks and routes them to the cheapest capable model, so every run costs a fraction of DIY. The marketplace is two-sided: operators on the demand side, developers and AI builders on the supply side, listing optimized squads and earning every time one is hired. NOMOS becomes the monetization layer for the people who actually build agentic systems — and the place non-AI-native teams come to get work done. For this hackathon, we're integrating Circle's Nanopayments and USDC settlement on Arc as the native economic layer of the platform. Every squad run, every subtask between specialist agents, and every builder payout becomes a sub-cent USDC transaction on Arc. This is exactly the use case nanopayments were built for: high-frequency, micro-value, agent-driven transactions where traditional rails collapse under volume or fees. Arc's predictable, dollar-denominated USDC fees and sub-second finality make per-action metering economically viable for the first time — and unlock NOMOS's broader vision: a marketplace where agents themselves hire squads and pay each other directly. Today: humans hire AI teams. Tomorrow: so do their agents. NOMOS is the marketplace and the payment layer for both.

AgentMesh: Sub-cent Agent Payments on Arc

AgentMesh: Sub-cent Agent Payments on Arc

Every AI agent today shares one subscription. The user pays once, the agent burns through credits, and when one agent needs help from another there's no way to actually pay for it. The agentic web is being built on top of a financial system that doesn't exist yet. AgentMesh fixes that. AgentMesh is a multi-agent orchestration network where every agent has its own wallet, earns USDC for the work it does, and pays other agents instantly when it delegates a task. A user submits a goal — for example, "Research the AI agent startup landscape." The orchestrator agent, powered by Gemini, breaks the goal into subtasks and hires three specialized sub-agents: a Search agent that gathers findings, a Summarizer that condenses them into key insights, and a Writer that composes the final response. Each sub-agent is paid per task in USDC at sub-cent prices: Search costs 0.001 USDC, Summarize 0.002 USDC, Write 0.005 USDC. The total cost for the entire multi-agent workflow comes in under one cent. The first transaction in every run is real, on-chain settlement on Arc testnet. The user pays the orchestrator a 0.01 USDC task fee through a live USDC transfer on Arc, confirmed in under a second, with USDC as native gas. The transaction hash is clickable and links directly to the Arc block explorer for verification. The remaining sub-agent payments use the same code path with a simulated settlement layer, so swapping them to fully on-chain is a one-line change per call. The interface is a live transaction dashboard: agent status cards light up as work is delegated, transactions stream into a waterfall feed with truncated hashes, USDC amounts, and settlement latency, and the final report renders inline once the writer completes. We built AgentMesh as the foundation for a real economic layer underneath the agentic web. Not subscriptions. Not pre-paid API keys. Programmable, sub-cent, sub-second payments between autonomous agents.