JD & Elliot’s Bumpy ‘Scrubs’ Love Story Is Being Borrowed by Another Couple In the Revival

I have to say, even though plenty of shows have done the ‘will they/won’t they’ thing, JD and Elliot’s relationship on Scrubs is one of my favorites. It felt like the show knew their complicated love story had to end happily, but it still kept me guessing for a long time! The season finale gave us that happy ending, but it was surprisingly low-key – no big wedding or proposal. It’s been fun to learn through the revival that a lot did happen off-screen, and it’s brought all those feelings from their eight seasons rushing back. And now, seeing a similar story unfold with a new couple feels like a really cool continuation of that whole arc.

Coinshares’ Secret Recipe for Riches: DeFi Meets Real-World Assets!

The Jersey-based digital asset manager said the strategy is built in partnership with infrastructure provider Kiln and powered by its Railnet orchestration layer, marking what the firm describes as the first time a regulated European asset manager has combined DeFi lending, institutional secured lending, and tokenized asset yields into a single product. (Spoiler: It’s like mixing a witch’s brew with a spreadsheet.)

‘Super Mario Galaxy Movie’ Critic Reviews Update Casts Doubt on Nintendo & Universal’s Confidence In Sequel

A recent post on X (formerly Twitter) from Embargo Lifts For indicates that reviews for The Super Mario Bros. Movie sequel will be released on Tuesday, March 31st. This is only one day before the film opens in theaters on Wednesday, April 1st. The delay in sharing early reactions had led to some speculation that Nintendo and Universal might not be entirely confident in the movie’s box office performance.

Robots Learn by Trying, and Trying Again

OmniReset cultivates robust manipulation skills in large-scale reinforcement learning by generating diverse reset states, enabling complex behaviors-such as drawer manipulation, table-assisted object re-orientation, and resilient peg insertion-to emerge from a unified, task-agnostic procedure, and even facilitating recovery from failed attempts on real-world robotic systems.

A new approach to training robotic manipulation skills focuses on exposing agents to a vast range of starting conditions, dramatically improving both simulation and real-world performance.