00:00 Speaker a
This month, Reddit filed a lawsuit against AI giant Anthropik, claiming that the Openai competitor had reached its platform more than 100,000 times. It reached the platform from 2022. July, after the Anthropic allegedly claimed he had blocked his robots. We sat down with the Reddit manager to discuss the action.
00:16 Speaker b
It is important for us that UM, that we can protect our consumers’ privacy, their deletion rights, as we have a policy that ensures that you know when users take a record, such as mail. So it is really important and, as we have said in our service conditions that, you know, we are talking to people who have access to our data, because this is the commitment we have in our politics.
00:55 Speaker a
Our other guest grabbed the numbers due to the size and volume of the AIs and helps publishers benefit from this scratch. We now have Toit Fenagrahi, which is the CEO and founder of Tolbit. Tolbit is a New York -based startup to help track News Publishers watch and make money when AI scratches its content. Was it right for us, toit?
01:25 Tooica
Yes, that’s right. Thank you for having me.
01:28 Speaker a
Absolutely. So, take us into your business and what you see here in more detail, especially when we know and know about how much these AI engines need to be performed to get kits that can be used later on generating efforts,
02:06 Tooica
Absolutely. Thus, Tolbit is a platform that helps to monitor, manage and get money of any size of websites from them AI robots, which basically means we give them tools to understand how the scoring on their site is raging. We give them tools to block and exercise access to content rights. And then we give them a real innovation that is our Bot Paywall, a tool that allows you to enter these AI robots and actually pay for sanctioned access to that content and data, right? And I think one of the things we see, right, especially in the last quarter, is the need for non -UH contents, the content to obtain conclusions time. When people ask the question, robots have to go out, read and answer your question.
03:09 Speaker a
Are AI training what are ethical from the standard practice that users expect online?
03:24 Tooica
I think it is bigger than us all the question. I think we definitely want some courts to decide to decide and to determine some precedents whether the training is honest. But I think we as a business is right, and I think where some conversations should go, you know, those who have to leave when you and I ask a question about any of these platforms to read that content, right? They don’t know what happened today. They don’t know what the ticket price was if you would like to go to France, right? They really have to go out and access those sites to get this information. This will be a much larger case of use than just training as these measures continue to develop.
04:26 Speaker a
So what is the income model? How does business make money?
04:34 Tooica
So what of the technology we have created, we have created a gate that any AI program, agent, bot can actually pay UH through micro payments for access to content and data, right? So it could be everything that happened today, right? You want you to read what happened today when I want to know, you know what the price of a hotel is in New York today, and I want you to go books for me, right? So we can allow the sites to set these rules, to establish access protocols what that content data should cost. And then we take the operation fee, and to enable this faster, cleaner, licensed access to that content data.
05:29 Speaker a
I am impressive and I am sure that there is a very large common address market that continues to grow in this situation. Thank you very much for destroying it. We appreciate it.
05:41 Tooica
Thank you.