The rebooted version of the DIGG news aggregator has entered the test, which offers users the first to see what the Reddit contestant made for the AI era will be, the store is in the store.
At its height in 2008, Dig’s site was priced at $ 175 million, but was divided and sold into parts a decade later. In March, Dig’s original founder, Kevin Rose and Redit’s co-founder Alexis Ohanian formed a team to bring back the brand and strengthen the site for a new generation of internet users.
Founders feel that the Internet is being filled with bots and AI agents, which will create a demand for online communities such as DIGG that promotes real human connections. They have said that they are using technology to establish ownership, such as zero-knowledge evidence, other equipment, as well as it can verify if a person is human before posting and joining the conversation.

On Friday, DIGG launched its iOS app to examiners, who are part of their groundbreakers community of early adopts. The app, which is in alpha test, gives the rebooted Dig first look at the direction that has been led.
The app has a clean design, with a navigation bar at the bottom to go between different parts of the service such as home feed, search, leaderboard and user profile page.
Similar to Reddit, the selection of Digg feeds that allows you to look at the contents of the site in different ways. The most popular materials of the site (most Dugg) are the latest, trending and feeds to see the material which is “heating up”. These filters can be used in all diggi or only in their own feed, based on the communities you follow.

Unlike Reddit, there are only a handful of communities to join for time, including focus on interests like art, entertainment, sports, finance, food, music, science and technology, as well as interacting about (AMA), Tracking News, or Digg to ask questions. (The company says that the ability to create communities will roll in later tests.)

As users share posts for these various communities, others can upwot or downvot them, save posts, and leave comments.
Below the post, DIGG is taking advantage of AI to summarize the content of the article. The tendency of this news summary has been popularized in other apps such as artifacts, which were sold to Yahoo, and were sold to modern-day news readers such as particles. However, AI-based news summary can be hit or missedThis is why some publishers have beenware of applying them to their sites.
Digg has not yet added any other AI summary equipment, such as the story has been explained from both sides or in a simple format, such as “I understood like 5,” like these first AI news apps.
In an attempt to separate its upwot and downwot buttons from Reddit, Digg is using the icons that meet with hands. This design still needs work, though. As something has been reported, it is not clear which icon is for upwot or downwot; The icon can be read in any way.

The app also features user profiles with BIOS, statistics, posts and achievements. For example, users can dig a post and earn “gems” which is then a tendency on the platform. First you are to find and dig these posts, the more gems you earn.
The mobile app also features leadersboards that highlight top daily posts, comments and gemstones, although DIGG says it is responding to the user’s response and dialing gamification elements back to the desktop.
Even more importantly, Dig has learned from his previous mistakes and is making his new leaderboard from time to time-that is, he refreshes every 24 hours.

In the former version of Digg during the web 2.0 era, DIGG’s leadersboards dominated some individuals, who then influenced the trend. The users were held to promote or bury, and some began to charge to get stories on the front page.
While rebooted DIGGs want to avoid these types of problems, in which the app can send all the wrong messages including the leaderboard.
However the new app is in good condition – especially considering an alpha – it is not yet displaying why no one will leave Reddit to use Digg. This push may come in time, as DIGG allows users to create their communities and customize them as per their choice.
Rose recently suggested during an AMA that Digg would want to move to AI to help in community design below the road.
“We see a world where you eventually interact with a built -in LLM on Dig and say,” Hey, I want my community to look like this … I want to become this widget here, or be structured here, “he explained.