XRP Bounties for AI Content? Ripple’s Schwartz Dares Critics to Prove They’re Human - Crypto Economy

TL;DR:

• David Schwartz, former Ripple CTO, offered XRP rewards to users who identify AI prompts behind criticism he received on X.
• The initiative pays 15 XRP per verified prompt, capped at 10 findings, which equals a total possible payout of 150 XRP.
• There is an intense debate about the proliferation of AI-generated content, known as “AI slop” in the industry.

David Schwartz, former chief technology officer of Ripple, turned a routine social media dispute into a public initiative to detect AI-generated content, offering XRP as a reward to anyone who can prove the automated origin of his critics’ arguments.

The episode began during a discussion on X about a lawsuit against X Corp., the company that owns the social network formerly known as Twitter. The account SelfLegalAid posted technical criticism of the case that Schwartz found suspicious. Rather than continuing the rhetorical back-and-forth, the executive publicly questioned the human authenticity of those messages, labeling them “AI slop,” a term that in 2026 circulates among technology figures to describe algorithmic content with no genuine value.


XRP for Prompts: the Community as Arbiter

Schwartz formalized his challenge with a concrete proposal: “I will give 15 XRP for each prompt you share in this thread, up to 10 prompts,” he posted on his official account. The initiative establishes a reward for each verified finding, capped at ten cases, bringing the maximum potential payout to 150 tokens. The call transformed a personal debate into a collective investigation, with users analyzing the style, structure, and rhythm of the posts’ responses.


Other users in the thread had already noted that SelfLegalAid’s replies displayed linguistic patterns typical of tools such as ChatGPT or Grok: symmetrical constructions, flawless argumentation, and the absence of variations characteristic of human language. Schwartz, known for his direct style and his long track record of ongoing dialogue with the crypto community, chose to move the dispute onto the terrain of verifiable facts.

A growing tension runs through various public digital spaces: the difficulty of distinguishing genuine positions from automated outputs, especially in technical and legal debates where argumentative precision can mask the artificial origin of the content.