Help Wanted

AI Summary: This issue proposes adding a new evaluation method to assess the efficiency of linear probes with limited labeled data. It involves creating deterministic, stratified subsets of training data at various fractions and reusing pre-extracted embeddings to measure performance. The goal is to understand how quickly representations become useful as more labels become available, while keeping existing full-data evaluations unchanged.

AI Summary: This issue proposes adding new "feature-spectrum diagnostics" to analyze the geometry of embeddings. These diagnostics, including effective rank and participation ratio, will be computed from existing embedding data and should be implemented efficiently without materializing large matrices. The goal is to provide additional insights beyond intrinsic dimension, with clear documentation and robust testing.

AI Summary: This issue proposes adding per-class IoU reporting for segmentation tasks to complement the existing aggregate mIoU. This will help identify failures on specific classes, especially rare or difficult ones. The implementation should include a configuration option to maintain backward compatibility and ensure compatibility with existing result formats and resume functionality.

AI Summary: This issue proposes adding functionality to measure the stability of probe performance across different random seeds. The goal is to understand how sensitive probe results are to initialization and data ordering, separate from bootstrap confidence intervals. This involves modifying the probe fitting process to run multiple times with different seeds and documenting how to analyze this new seed-based variability.

AI Summary: This issue proposes adding a linear Centered Kernel Alignment (CKA) utility to compare the similarity of model representations on the same set of samples. It involves implementing the CKA function, enabling the saving of embeddings with metadata, and creating an analysis tool to generate a CKA matrix between models, with a focus on global classification embeddings.

AI Summary: This issue proposes adding few-shot classification evaluation to the project. The goal is to compare model representations in low-data scenarios by evaluating performance with a fixed, small number of examples per class. This involves sampling episodes deterministically, evaluating a simple probe, and reporting detailed results for each episode.

AI Summary: This issue is a beginner-friendly task to add a new trivia question about Japanese terms to the project's quiz bank. No coding experience is required, and the contribution can be made directly through the GitHub web interface in under a minute.

AI Summary: When creating an unreported distance expense without assigning it to a report, the 'distance' and 'rate' menu items incorrectly appear in the transaction thread on the new Expensify website. These options should only be visible when the expense is associated with a report.

AI Summary: The user accidentally flashed incompatible firmware onto their DSTIKE Deauther Watch 32 C5, resulting in a blank display with only a white backlight. Attempts to restore the original Deauther32 firmware using provided files have failed, suggesting a potential incompatibility with the bootloader or display hardware.

AI Summary: This issue proposes adding a validation mechanism to SlateDB's settings to ensure that configuration options are compatible and do not lead to deadlocks or failures. Currently, conflicting settings can exist, potentially causing issues, especially in adversarial or random testing scenarios.

AI Summary: This issue proposes to analyze the intrinsic dimension of location encoders/INRs using the TorchGeo-Bench library and the torchid library. The goal is to identify any correlations between intrinsic dimension and performance across different datasets, building upon existing metrics.

AI Summary: This issue is a beginner-friendly task to add a new Japanese proverb to a JSON file. No coding is required, and the contribution can be made directly from the browser in under a minute. It's designed for new contributors and is part of Hacktoberfest.

AI Summary: When navigating to the 'Spends' section and clicking 'Card accruals', the application incorrectly defaults the search query to 'feed:xxxx' with 'Region Bank' selected instead of the expected 'feed:Expensify Card'. This bug is reproducible in staging and production environments.

AI Summary: This issue proposes to automatically unassign participants from issues in the CI system if there's no activity (specifically, no PR activity) for 30 days. A notification should be sent to the participant at the 15-day mark to remind them to create a PR.

AI Summary: This issue proposes adding keyboard shortcuts to several actions currently only available through the editor's toolbar. The goal is to improve accessibility and user efficiency by providing alternative input methods for actions like Diagram, Color, Footnote, and Table.

AI Summary: This issue requests the addition of a new 'Zoom Out' CSS animation to the EaseMotion library, specifically for radio components. The implementation should be a self-contained submission within the `submissions/` directory, demonstrating the `ease-zoom-out` utility class applied to radio buttons in a reusable, responsive, and accessible manner.

AI Summary: This bug report indicates that several keyboard shortcuts in the markdown editor are not functioning as expected. Specifically, shortcuts intended for creating numbered lists, bullet lists, and task lists are either not working or triggering incorrect actions, such as inline code instead of a code block.

AI Summary: This issue proposes to refactor the `RequirementsSection` rule in `wdl-lint`. Currently, it handles two distinct checks: the presence of a `requirements` section and the deprecated `runtime` section. The goal is to split the `runtime` section check into a separate rule to improve the tagging and organization of linting rules.

AI Summary: This issue proposes exploring and implementing nonlinear probing methods for classification tasks, beyond the currently supported KNN and linear probing. The goal is to determine if embeddings exhibit nonlinear relationships that can be captured by models like MLPs, and to identify the most suitable and stable nonlinear probes.

AI Summary: When a user attempts to resolve a fraud alert action on a card in the workspace chat, an error occurs. The issue is reproducible in staging and involves injecting specific data into the console to simulate a fraud alert.

AI Summary: This issue proposes adding functionality to the GeoBench library to allow users to download only a single, specific dataset instead of the entire collection. This would be beneficial for users who want to run experiments on a subset of datasets, saving download time and storage space.

AI Summary: This issue requires updating the settings UI to reflect the correct keyboard shortcuts. It involves adding several new shortcuts to the list and correcting two existing ones that are either outdated or non-functional. The primary task is to modify the `shortcuts.vue` file to ensure the displayed shortcuts accurately match their intended actions.

AI Summary: This issue is a beginner-friendly task to add a new fun fact about Japan to a JSON file. No coding is required, and the contribution can be made directly from the browser in under a minute. It's tagged for first-time contributors and Hacktoberfest.

AI Summary: This issue proposes adding a "bulk set category" feature to the system detail page, similar to the existing bulk tag functionality. Currently, admins must manually set categories for individual books in bulk edit mode, which is inefficient for large imports. The suggested solution involves adding a category combobox and a "Set category" button to the bulk action bar, allowing a single category to be applied to all selected books at once.

AI Summary: The driver fails to build on Linux kernel 7.1+ due to breaking changes in the cfg80211 API. Specifically, station and key management callbacks now expect a `struct wireless_dev *` instead of `struct net_device *`, and the `struct ieee80211_mgmt` union structure has been flattened.

AI Summary: This issue proposes adding a new neumorphic soft UI card component to the EaseMotion CSS library. The component features a modern, soft design with extruded shadows for the card and an inset style for image placeholders, along with interactive button transitions. It's designed to be animation-first, composable, and easy to integrate.

AI Summary: This issue requests a native Chinese editorial review of two Markdown files, `README.zh-CN.md` and `posts/launch.zh-CN.md`. The goal is to ensure clarity, accuracy, and natural phrasing while preserving specific technical terminology and scope boundaries related to 'Loop Engineering'. The review involves checking against the English canonical version and running translation sync and linting scripts.

AI Summary: This issue asks a contributor to audit five 'contextual' data sources from `data/resources.csv` against their canonical evidence. The goal is to verify the accuracy of the title, author/organization, and specific claims in the README annotations, making corrections only where supported by the source. The contributor should document their findings in a PR table and ensure the dataset and linting checks are up-to-date.

AI Summary: This issue proposes adding a new scheduled runnable loop to the `examples/runnable/` directory. This loop will implement a "docs-drift" pattern, designed to run on a schedule and either generate a verified patch or an evidence-backed report based on documentation drift. The goal is to expand the runnable examples beyond the existing test-repair loop, adhering to specific acceptance criteria for its implementation.