It’s ludicrously cheap for the size and quality of the dataset. A set of 829 academic papers at University of Michigan is priced at $25,000—about 1/2400 of this sale. If you were to scale that dollar value to the size of the Reddit dataset, you’d expect it to contain about 2 million academic papers’ worth of data.
But Reddit has almost two decades of text written by 200 million chronically-online people. And sure, probably most Reddit users don’t write an academic paper amount of content every year; but the average is probably closer to that than not, especially when you consider that some of those subreddits like AskHistorians and AskScientists really are generating the equivalent of dozens of academic papers per day. Just based on the amount of text alone, Reddit should’ve sold us out for 50-100x what they got for just a single year of data, and 1000-2000x for the full twenty years (though, granted, they didn’t have that much data for that entire time, so let’s say half that).
Furthermore, those 829 papers in the U of M dataset are disconnected, unlinked text representing a tiny fraction of what U of M’s 50,000 students generate in even a single year. Reddit has data with links, images, conversational responses, prompt responses, Q&As, flash fiction, slash fiction, historical deep-dives, investigations, memes, inside jokes, a development of style and consensus over time, and a comprehensive understanding of what it means to interact online, generated by people around the world over the course of 18 years. It’s much better data for almost any LLM purpose that isn’t just writing academic papers from the perspective of students at a medium size 4-year undergrad institution in the Midwestern US. The quality of the dataset should’ve made the value even higher. It’s hard to say exactly how much higher, but let’s just be extremely conservative and say it should have doubled the total.
That means that, conservatively, the value of Reddit’s dataset—or, rather, our dataset, which Reddit freebooted from us—was about 1000x the value of the U of M dataset.
They should’ve sold us out for billions.
Of course, we don’t know anything about what exclusivity deals or subset of data that they might have included with this deal. It might only be one year of data, and only 6 months of exclusivity. But assuming they sold the rights to the entire dataset, we got sold for pennies.
It’s ludicrously cheap for the size and quality of the dataset. A set of 829 academic papers at University of Michigan is priced at $25,000—about 1/2400 of this sale. If you were to scale that dollar value to the size of the Reddit dataset, you’d expect it to contain about 2 million academic papers’ worth of data.
But Reddit has almost two decades of text written by 200 million chronically-online people. And sure, probably most Reddit users don’t write an academic paper amount of content every year; but the average is probably closer to that than not, especially when you consider that some of those subreddits like AskHistorians and AskScientists really are generating the equivalent of dozens of academic papers per day. Just based on the amount of text alone, Reddit should’ve sold us out for 50-100x what they got for just a single year of data, and 1000-2000x for the full twenty years (though, granted, they didn’t have that much data for that entire time, so let’s say half that).
Furthermore, those 829 papers in the U of M dataset are disconnected, unlinked text representing a tiny fraction of what U of M’s 50,000 students generate in even a single year. Reddit has data with links, images, conversational responses, prompt responses, Q&As, flash fiction, slash fiction, historical deep-dives, investigations, memes, inside jokes, a development of style and consensus over time, and a comprehensive understanding of what it means to interact online, generated by people around the world over the course of 18 years. It’s much better data for almost any LLM purpose that isn’t just writing academic papers from the perspective of students at a medium size 4-year undergrad institution in the Midwestern US. The quality of the dataset should’ve made the value even higher. It’s hard to say exactly how much higher, but let’s just be extremely conservative and say it should have doubled the total.
That means that, conservatively, the value of Reddit’s dataset—or, rather, our dataset, which Reddit freebooted from us—was about 1000x the value of the U of M dataset.
They should’ve sold us out for billions.
Of course, we don’t know anything about what exclusivity deals or subset of data that they might have included with this deal. It might only be one year of data, and only 6 months of exclusivity. But assuming they sold the rights to the entire dataset, we got sold for pennies.