#AI The era, in fact, whether the content matters anymore #AIGC is no longer important, because AI is gradually gaining the ability to learn the writing style of high-quality authors. As long as the creator authorizes their own Agent to learn the content, then AIGC and MCP and other models are instead a means for creators to significantly reduce costs and increase efficiency. But for content platform operations and management, the most important thing next is:
1. ©️ Copyright maintenance and the establishment of reward-and-punishment mechanisms. Those who use AIGC must have content or data copyright, and must also have the awareness that they can be held accountable for content infringement.
2. An optimized mechanism for judging junk content. For junk content, cut off the traffic; for high-quality content, support the traffic (this requires dedicated staff). This point is crucial, because in the AI era, junk content can be produced in huge amounts. The source can instead start from supporting traffic: good creators will inevitably produce mostly in-depth content, be real-name verified, and in the future may also have blockchain ID verification. The more traffic is supported for high-quality content, the smaller the influence of junk content will naturally become. $BTC
3. A high-quality feedback mechanism. Do not blindly trust the judgment of agent bots, because the probability of hallucination and misjudgment is still too high. Improving feedback customer service that communicates with people is crucial. Reddit's recent financial report and data were a major disappointment precisely because its bizarre operational logic of rather mistakenly killing 1,000 than letting one bot go resulted in many high-quality new users being wrongly killed, and Reddit even does not have a human customer service team. This is truly astonishing. By comparison, people at the founder level at Binance are all on the front line arguing with netizens and absorbing feedback; the gap is obvious at a glance. Sometimes a product can rise because of the accumulation of the smallest details over time.
PS: I originally also wanted to test directly letting Claude and other Agent products use AI MCP to call #UniPublisher 's editing and distribution capabilities, so that the Agent could directly complete my idea, but I suddenly found that MCP had only connected long-form calls and not short-post mode yet, so I could only do it manually in the editor hahaha 💡.
1. ©️ Copyright maintenance and the establishment of reward-and-punishment mechanisms. Those who use AIGC must have content or data copyright, and must also have the awareness that they can be held accountable for content infringement.
2. An optimized mechanism for judging junk content. For junk content, cut off the traffic; for high-quality content, support the traffic (this requires dedicated staff). This point is crucial, because in the AI era, junk content can be produced in huge amounts. The source can instead start from supporting traffic: good creators will inevitably produce mostly in-depth content, be real-name verified, and in the future may also have blockchain ID verification. The more traffic is supported for high-quality content, the smaller the influence of junk content will naturally become. $BTC
3. A high-quality feedback mechanism. Do not blindly trust the judgment of agent bots, because the probability of hallucination and misjudgment is still too high. Improving feedback customer service that communicates with people is crucial. Reddit's recent financial report and data were a major disappointment precisely because its bizarre operational logic of rather mistakenly killing 1,000 than letting one bot go resulted in many high-quality new users being wrongly killed, and Reddit even does not have a human customer service team. This is truly astonishing. By comparison, people at the founder level at Binance are all on the front line arguing with netizens and absorbing feedback; the gap is obvious at a glance. Sometimes a product can rise because of the accumulation of the smallest details over time.
PS: I originally also wanted to test directly letting Claude and other Agent products use AI MCP to call #UniPublisher 's editing and distribution capabilities, so that the Agent could directly complete my idea, but I suddenly found that MCP had only connected long-form calls and not short-post mode yet, so I could only do it manually in the editor hahaha 💡.