Recent leaks claim that Genshin Impact’s 5.2 update won’t feature reruns for Shenhe, a 5-Star Cryo Polearm user. If this is true, this would mean that Shenhe currently has the longest waiting ...

Aside from the conflicting leaks, it’s also worth mentioning that there are plenty of characters on Genshin Impact’s character rerun waiting list who fans have been dying to see, like Shenhe ...

What are the current and upcoming Genshin Impact events? A new version of Genshin Impact arrives every six weeks, complete with new characters, quests, and events. It’s difficult to keep track ...

The Genshin Impact 5.2 livestream is expected to go live in early November, just before the new update is officially released. These Special Program livestreams usually share a ton of information ...

The Blues extended their unbeaten run in the top-flight to five games with a draw against Fulham last time out. Southampton, on the other hand, are bottom of the table and have just one point to ...

The Special Program for the Genshin Impact 5.2 update will likely be livestreamed on November 8, 2024. As usual, Travelers can expect the officials to reveal all the upcoming content in version 5. ...

Looking for a Genshin Impact tier list? There are currently 93 Genshin Impact characters available, providing you with a wide variety of candidates to construct your dream team. But with so many ...

Liverpool were twice behind against the injury-ravaged Gunners on Sunday before banking a decent point from a thrilling 2-2 draw at the Emirates. And Gakpo, whose battle with Luis Diaz for the lef ...

Genshin Impact’s Shenhe is a dedicated, cryo-wielding adepti disciple with a heart-wrenching story and plenty of power in her delicate hands. To help harness her potential as a support unit for your ...

“While an unfortunate incident, it will have no impact on our election, and we look forward to tomorrow, Election Day,” the commissioners stated. The incident at the Finger Lakes Mall has drawn ...

Without a public testable version, it's hard to say how it would handle weird edge cases or drawings that don't closely match objects in its training data (which we don't know the extent of).