Things to Do in L.A. Tap to enable a layout that focuses on the article. With Big Bear eagle ailing, OpenAI co-founder drops $5.5M to buy land near nest Earlier this month, Jackie was taken into a rehabilitation center after she was found weak and unable to fly. This is read by an automated voice. Please report any issues or inconsistencies here . See more from the L.A. Times in Google Search.

Environment Animals Wildlife Birds Why Jackie and Shadow's home is the place to be for young eagles As their mom recovers, Sandy and Luna are becoming more independent. 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. Sandy and Luna hatched in April. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

New video also shows the fight that injured the internet-famous bald eagle mom. 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. Young eagles Sandy and Luna continue to explore their surroundings under Shadow's watchful eye. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

Adult Bald Eagle 26-519 is perching and eating with assistance. 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. Adult Bald Eagle 26-519 was found on July 18 and is currently at the Ojai Raptor Center in Ojai, California. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

Friends of Big Bear Valley is working with rescue organizations to monitor the situation. 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. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy . An adult bald eagle recently rescued by the Los Angeles County Parks San Dimas Raptor Rescue is likely an internet-famous eagle mom named Jackie .

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Environment Animals Wildlife Birds One of Jackie and Shadow's chicks accidentally left the nest Sandy lost her footing and fell down a few branches. 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. Luna seen on the live cam shortly after Sandy unexpectedly left the nest. Breakthroughs, discoveries, and DIY tips sent six days a week. By signing up, you confirm you are 16+, will receive newsletters and promotional content and agree to our Terms of Use and acknowledge the data practices in our Privacy Policy .

A transformer is merely a stack of learned datatodata maps--yet those maps can hide rich algorithms. We train a linear, attention-only transformer on millions of masked-block completion tasks: each prompt is a masked low-rank matrix whose missing block may be (i) a scalar prediction target or (ii) an unseen kernel slice for Nyström extrapolation. The model sees only input--output pairs and a mean-squared loss; it is given no normal equations, no handcrafted iterations, and no hint that the tasks are related. Surprisingly, after training, algebraic unrolling reveals the same parameter-free update rule across all three resource regimes (full visibility, bandwidth-limited heads, rank-limited attention). We prove that this rule achieves second-order convergence on full-batch problems, cuts distributed iteration complexity, and remains accurate with compute-limited attention. Thus, a transformer trained solely to patch missing blocks implicitly discovers a unified, resource-adaptive iterative solver spanning prediction, estimation, and Nyström extrapolationhighlighting a powerful capability of in-context learning.

Their biggest advocate's final act was negotiating a deal to protect their habitat. But they still need help. 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 nest is only one mile from a proposed development. Breakthroughs, discoveries, and DIY tips sent six days a week.

The Brier score conflates two distinct properties of probabilistic predictions: reliability (calibration error) and resolution (discriminatory power). We introduce the Manokhin Probability Matrix, a BCG-style two-dimensional diagnostic framework that separates them. Classifiers are placed on a 2x2 grid by Spiegelhalter Z-statistic and AUC-ROC expected rank, then assigned to one of four archetypes: Eagle (good on both axes), Bull (strong discrimination, poor calibration), Sloth (well-calibrated, weak discriminator), and Mole (poor on both). Each archetype carries a distinct prescription. We populate the matrix from a large-scale empirical study spanning 21 classifiers, 5 post-hoc calibrators, and 30 real-world binary classification tasks from the TabArena-v0.1 suite. The assignment is unambiguous. CatBoost, TabICL, EBM, TabPFN, GBC, and Random Forest are Eagles. XGBoost, LightGBM, and HGB are Bulls; Venn-Abers calibration cuts log-loss by 6.5 to 12.6% on Bulls but degrades Eagles by 2.1%. SVM, LR, LDA, and the empirical base-rate predictor are Sloths. MLP, KNN, Naive Bayes, and ExtraTrees are Moles. A theoretical asymmetry follows: no order-preserving post-hoc calibrator can add discriminatory power (Proposition 1), so calibration is the fixable part and discrimination is the hard part. The practical rule is direct: do not optimise aggregate Brier score without first decomposing it; optimise discrimination first, then fix calibration post-hoc. Code and raw experimental data are available at https://github.com/valeman/classifier_calibration.