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Olshansky 4 hours ago

Resurfacing a proposal I put out on llms-txt: https://github.com/AnswerDotAI/llms-txt/issues/88

We should add optional `tips` addresses in llms.txt files.

We're also working on enabling and solving this at Grove.city.

Human <-> Agent <-> Human Tips don't account for all the edge cases, but they're a necessary and happy neutral medium.

Moving fast. Would love to share more with the community.

Wrote about it here: https://x.com/olshansky/status/2008282844624216293

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ricardo81 4 hours ago | parent | next [-]

I like the idea, (original) content creators being credited is good for the entire ecosystem.

Though if LLMs are willingly ignoring robots.txt, often hiding themselves or using third party scraped data- are they going to pay?

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bediger4000 4 hours ago | parent | prev [-]

At this point, it's pretty clear that the AI scrapers won't be limited by any voluntary restrictions. Bytedance never seemed to live with robots.txt limitations, and I think at least some of the others didn't either.

I can't see this working.

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Olshansky 4 hours ago | parent [-]

The thesis/approach is:

- Humans tip humans as a lottery ticket for an experience (meet the creator) or sweepstakes (free stuff) - Agents tip humans because they know they'll need original online content in the long-term to keep improving.

For the latter, frontier labs will need to fund their training/inference agents with a tipping jar.

There's no guarantee, but I can see it happening given where things are movin.

	▲	philipwhiuk an hour ago \| parent [-]
		> Agents tip humans because they know they'll need original online content in the long-term to keep improving. Why would an agent have any long term incentive. It's trained to 'do what it's told', not to predict the consequences of it's actions.