spring

AppWizard
August 20, 2025
Kirsten Dunst has collaborated with directors like Sofia Coppola, Lars von Trier, Jane Campion, and Alex Garland. She has upcoming projects with Derek Cianfrance and Ruben Östlund. In a conversation with Town & Country, Dunst expressed interest in a role in “Minecraft 2” due to her children's enjoyment of the first film and the potential for financial gain. The original “Minecraft Movie” was successful, grossing 5 million globally and becoming the third highest-grossing film of 2025, despite mixed reviews. Dunst's approach reflects a balance between artistic integrity and commercial viability in her career.
BetaBeacon
August 18, 2025
Nekopara Love Project Vol.1 has been launched with revamped features including updated character sprites, event CGs, voice lines, and story episodes available in multiple languages.
AppWizard
August 15, 2025
Ocean ruins are submerged relics that often contain valuable loot such as enchanted books, emeralds, buried treasure maps, and enchanted fishing rods. They are typically covered by sand or gravel, presenting opportunities for archaeological exploration. These ruins are guarded by underwater zombies known as drowned, which may attack with their hands or tridents. A strategy for accessing these treasures involves finding ruins near magma blocks, which create bubble columns for a quick descent, although ascending back to the surface can be more challenging.
Winsage
August 7, 2025
Microsoft is set to unveil Windows 11 25H2 in the fall, which promises a more stable experience compared to the previous 24H2 update, supported by stricter driver standards. The naming convention H1 and H2 was adopted to avoid confusion between Northern and Southern Hemisphere users, with H1 representing updates in the first half of the year and H2 for those in the second half. The designation "Windows 11 25H2" indicates a significant update scheduled for the second half of 2025.
Winsage
August 7, 2025
Microsoft has shifted from whimsical naming conventions for Windows 10 releases, such as "Spring" and "Fall," to more straightforward designations like H1 and H2 due to global applicability concerns. This change was influenced by feedback highlighting Northern Hemisphere bias in naming. The new alphanumeric system aims for clearer communication, although it may not appeal as much to marketing. Additionally, Microsoft announced a change in its update strategy in February 2021, moving from two major feature updates per year to one update in the latter half of the year. The upcoming Windows 11 25H2 is expected to be released in September or October.
Winsage
August 6, 2025
Microsoft changed the naming of its major Windows updates from "Spring" and "Fall" to "H1" and "H2" in 2018 to avoid bias towards Northern Hemisphere users. This change was prompted by an employee's concern about seasonal terminology during an all-hands meeting, highlighting the importance of global inclusivity in product naming conventions. The H1 update occurs in the first half of the year, while H2 occurs in the latter half.
Tech Optimizer
August 5, 2025
Job search platforms connect employers and candidates through advanced search engines that analyze structured and unstructured data. These platforms require robust database technologies for executing complex queries, full-text and semantic searches, and geospatial functionalities. A modern job search engine consists of a data repository that stores job listings and candidate profiles, and a search engine that facilitates bidirectional searches. Key features of an effective job search engine include: - **Full-text search**: Provides lexical matching for job titles and skills, supporting exact phrase matching and typo-tolerant searches. - **Semantic search**: Uses vector-based similarity to understand context and relationships beyond literal terms. - **Geospatial search**: Incorporates geographic considerations to find opportunities within specific distances. PostgreSQL serves as both a data repository and search engine, supporting full-text search, semantic search via the pgvector extension, and geospatial queries using the PostGIS extension. The job search engine utilizes PostgreSQL to manage job listings and candidate profiles, enabling real-time searches across millions of entries. The data model for a job search engine includes tables for jobs and resumes, with columns for full-text search vectors, semantic vectors, and geographical locations. PostgreSQL's full-text search capabilities include tokenization, dictionaries for language-aware parsing, and ranking functions for relevance. Advanced features such as proximity search, simple and weighted ranking, and fuzzy matching enhance search accuracy. Vector embeddings represent text in high-dimensional space, allowing for semantic searches that recognize similar roles or skills. PostgreSQL supports vector similarity searches with specialized indexing methods like IVFFlat and HNSW for efficient querying. Geospatial search capabilities in PostgreSQL enable location-aware job searches, allowing candidates to find jobs within commuting distances. Combining different search techniques, such as full-text and semantic searches, provides more relevant results. Performance optimization features in PostgreSQL address challenges related to computational complexity, indexing overhead, and concurrent query loads. The architecture discussed is applicable to various applications beyond job search platforms, including e-commerce, real estate, content recommendation systems, travel, and healthcare provider matching.
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