Environment Animals Wildlife Birds How to tell Jackie and Shadow's chicks, Sandy and Luna, apart Hint: One of the bald eagle chicks is a louder pooper. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Jackie and Shadow's chicks Sandy (Chick 1) and Luna (Chick 2) have some subtle differences. Breakthroughs, discoveries, and DIY tips sent six days a week. Jackie and Shadow's newly named chicks Sandy and Luna are growing by leaps and bounds.

Environment Animals Wildlife Birds Jackie and Shadow's eaglets' names announced: Say hello to Sandy and Luna Star, Chip, Phoenix were the runners up. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The latest eaglets have officially been named. Breakthroughs, discoveries, and DIY tips sent six days a week. After careful deliberation by a brilliant group of students, Jackie and Shadow's new eaglets have names.

Pin feathers, tucking, and more signs that these bald eagles babies won't be chicks forever. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The eaglets still rely on mom and dad for food, but not for long. Breakthroughs, discoveries, and DIY tips sent six days a week. The newest residents of the internet's favorite eagle nest are rapidly growing right before our eyes.

Jackie looks stern, while Shadow looks a bit more surprised. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Jackie and Shadow have been nesting together since 2018. Breakthroughs, discoveries, and DIY tips sent six days a week. The two new eaglets eating, chirping, and "bopping" in their nest high above Southern California's Big Bear Lake are arguably the stars of the popular wildlife livestream .

Environment Animals Wildlife Birds Help name Jackie and Shadow's new eaglets Submissions are open until Sunday, April 26 at 11:59 p.m. PDT. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Chick 1 hatched on April 4 and Chick 2 followed on April 5. Breakthroughs, discoveries, and DIY tips sent six days a week. Internet-famous eagle couple Jackie and Shadow have two new chicks in need of names. For a small donation, you can submit your name suggestion on the Friends of Big Bear Valley (FOBBV) website .

Environment Animals Wildlife Birds Jackie and Shadow's 2026 babies: Everything you need to know about the new eaglets The two new chicks hatched in early April and are eating lots of fish, sleeping, and acting like siblings. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. The chicks are currently figuring out their "pecking order," or who gets first dibs on food. Breakthroughs, discoveries, and DIY tips sent six days a week. It's been another roller coaster nesting season for Jackie and Shadow, a pair of internet-famous bald eagle parents living in San Bernardino National Forest in Southern California.

Agents based on large language models (LLMs) struggle with brainless trial-and-error and generating hallucinatory actions due to a lack of global planning in long-horizon tasks. In this paper, we introduce a plan-and-execute framework and propose EAGLET, an efficient and effective planner training method to enhance the executor agent's planning abilities without human effort. Specifically, we train a plug-and-play global planner through a two-step process: we first synthesize high-quality plans from an advanced LLM using our proposed homologous consensus filtering strategy, and apply fine-tuning as a cold start. Moreover, we further improve the planner with a rule-based reinforcement learning stage using a novel executor capability gain reward, ensuring it can handle task instructions of varying difficulty. Experiments on three long-horizon agent tasks show that executor agents equipped with our planner outperform existing methods, achieving new state-of-the-art performance. Meanwhile, EAGLET reduces training costs by 8x compared to RL-based baselines, and it does not require manual effort or extra training data, offering an efficient and effective solution.