Signal, Noise and the Coming Era of AI Curation

On this “Speaking of Bitcoin” episode, join hosts Adam B. Levine, Stephanie Murphy, Jonathan Mohan and special guest Martin Rerak, creator of, for a look at how “AI curation” is being used to figure out what’s useful information and what’s just fluff.

In the early days of Bitcoin, there were just a few places you might go to read news and stay informed, but over the years things have changed dramatically. Today there are thousands of projects and hundreds of articles written each day. And that’s assuming you ignore the wilds of YouTube or the depths of crypto Twitter.

There were days I was waking up to a hundred tabs that I was basically just reloading from the prior day… You know, looking at Slack, Telegram, Twitter accounts, Discord, Reddit and dozens of publications online […] It was very easy to point somebody in the [right] direction if they’re saying, “Where can I buy cryptocurrency?” But if they were saying, “Is there a use case here for traceability?” or “What do you think I should invest in?” or “How is this project developing?” that becomes a lot more loaded and challenging…

Martin Rerak, creator of

In this episode, we discuss the crypto-media landscape, AI training, the challenges around bias and un-biasing practices, potential impacts of the natural-language-generating algorithm known as GPT-3 and more.

While unsettling on the surface, the idea of bias within an AI is not as controversial as you might imagine – it’s almost required. As humans, we each have our own experiences and preferences which shape our viewpoint and our biases. Modern artificial intelligence consumes “training material” curated by humans to learn what’s right or wrong for its particular task. Once trained, AI can help us with those tasks and is at its most useful when it’s “instincts” match whomever it is working on behalf of.

Of course whether bias is good or bad depends a lot of your priorities. When…

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