Olas (formerly Autonolas) allows newbies to spin off AI agents to gain an edge in prediction markets, co-founder David Minarsch says.
Minarsch walks Laura through how it works with customizable local agents that can leverage specialized agents, including frontier models from labs such as Anthropic and OpenAI on a pay per request basis.
The discussion extends to privacy concerns around frontier models amid the dispute over whether OpenAI stole the work of a researcher for a Navier-Stokes proof, with Minarsch teasing an Olas solution.
Listen to get all the details!
Show Highlights:
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- How Olas has facilitated over 14 million transactions between AI agents
- Why Olas is focused on catering to the newbies
- Why just asking your model for a prediction is a naive way of trading
- What Olas users actually own
- How Olas’ model allows users choose what they share and pay for
- How Olas settles onchain using USDC and xDAI
- Minarsch on how Olas traces its roots to Fetch.ai in 2019 and how the launch of ChatGPT changed everything
- Olas’s Connect tool, launched a couple of months ago, gives a local Claude Code or Codex session its own wallet so developers can build custom agents that trade on Polymarket without using Pearl’s default app
- Olas plans to launch on Robinhood in the coming weeks with new DeFi-focused products, and teases a blog update in the next one to two weeks about reducing dependence on remote AI models
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