Digg AI news aggregator is now live as the reborn internet discovery site starts testing what its comeback could look like.
In a note on Digg homepage, CEO Kevin Rose says the team is starting with AI because it is one of the fastest-moving spaces online. The new portal at di.gg/ai scans AI coverage from across the web, groups stories, summarizes them and tracks the topics getting attention.
Digg is using AI as its first test lane
The page is not just a list of links. Digg says it uses models including Llama 4, ChatGPT, Perplexity and Gemini to help organize the feed. It also includes an AI 1000 ranking, which tries to surface the most influential voices in AI by watching what they post and what they point people toward.
That makes the project feel like a mix of news reader, trend board and reputation tracker. It is a smart place for Digg to start. AI news moves fast, and readers often need a clean way to see what matters without living inside every social feed all day.
A preview of the larger Digg relaunch
Rose framed the AI portal as a staging ground for the broader Digg rebuild. The main site is expected to return publicly in July, after Rose and Reddit co-founder Alexis Ohanian bought Digg earlier this year. For now, the AI vertical gives the team a live test bed before those ideas spread into other topics.
The timing also fits the current web mood. People still want human taste, but they also want help cutting through the flood. That is why discovery tools keep showing up around AI, search and social feeds. We have seen the same pressure in recent AI launches, including OpenAI’s Daybreak security initiative, where the bigger story is not just the model, but how people use it to sort important work faster.
If Digg can make that feel useful instead of noisy, this could be more than a nostalgia play. The old Digg helped people find what the web was talking about. The new one seems to be asking whether AI can help do that job without flattening the human signal that made Digg matter in the first place.
