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NEW YORK — The New York Times Connections Sports Edition puzzle No. 605 for Thursday, May 21, 2026, featured 16 sports-related words grouped into four categories centered on college game elements, pitching mound synonyms, Alpine skiing disciplines and Charlotte-based teams.

The puzzle, available through The Athletic, challenged players to sort the words into four groups of four. It carried a difficulty rating consistent with recent editions in the sports-themed variant.

The yellow category, typically the easiest, was “Seen at a college sporting event”: BAND, CHEERLEADERS, DANCE TEAM, STUDENT SECTION.

The green category was “Pitching mound”: BUMP, HILL, MOUNT, RUBBER.

The blue category was “Alpine skiing disciplines”: COMBINED, DOWNHILL, SLALOM, SUPER-G.

The purple category, often the hardest, was “Charlotte ____”: 49ERS, FC, HORNETS, NORTH.

Connections Sports Edition, a collaboration between The New York Times and The Athletic, adapts the original Connections format with a sports focus. Players identify connections drawing from athletics, teams, rules and sports culture. The game resets daily at midnight local time and allows four mistakes.

Hints for puzzle 605 included “Spotted at a game” for the yellow group, “Charlie Brown’s baseball home” for the green group, “Snow sport” for the blue group and “Queen City teams” for the purple group.

Yesterday’s puzzle on May 20, No. 604, included categories such as actions on a field goal attempt, U.S. Olympic host cities, Triple-A baseball teams and words ending in an NFL quarterback’s name.

The sports edition launched from beta and remains accessible via The Athletic’s platform or app, separate from the main NYT Games app. It targets fans with knowledge spanning multiple sports.

Players shared solve grids on social media, with many noting the college atmosphere group as accessible due to familiar game-day elements. The skiing disciplines required specific winter sports knowledge, while the Charlotte reference drew on NFL, MLS, NBA and college teams.

The pitching mound synonyms tested baseball terminology familiarity, with “rubber” as the official term for the pitcher’s plate. Alpine skiing categories highlighted Olympic and World Cup events.

Community discussions highlighted the puzzle’s mix of mainstream and niche sports references. International players sometimes found U.S.-centric elements like college game traditions more challenging.

The New York Times and The Athletic publish companion content with progressive hints. For May 21, hints guided solvers toward game-day visuals, baseball infrastructure, snow sports and regional team nicknames.

Connections Sports Edition builds on the popularity of the original game while incorporating trivia from football, baseball, basketball, skiing and other disciplines. No word repeats across puzzles, with editors curating balanced difficulty.

Strategies include scanning for obvious clusters like team names or event-specific terms. Players often start with yellow groups before tackling purple. Non-theme words serve as distractors to increase challenge.

Tomorrow’s puzzle, No. 606 for May 22, will present a new grid at midnight. The Athletic offers a Coach section for additional hints and player discussions.

The game supports engagement across devices through web and app access. Features include color-coded feedback and shareable results using emoji grids.

As of midday May 21, online forums discussed solve paths for puzzle 605, with users comparing times and noting near-misses involving overlapping sports terms. Many completed it within the allowed mistakes after identifying the college and skiing groups.

Educational value includes reinforcing sports knowledge, geography of host cities and terminology across leagues. The puzzle format promotes logical grouping and elimination strategies.

Connections Sports Edition continues to grow as part of The Athletic’s puzzle offerings alongside the main Connections. Puzzle 605 exemplified the blend of accessible and specialized categories that defines the series.

Q4: 2026-05-19 Earnings Summary

EPS of $0.30 beats by $0.00

 | Revenue of $1.40B (44.51% Y/Y) misses by $8.91M

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The Chinese startup DeepSeek has released its latest artificial intelligence model, V4, continuing its strategy of utilizing open-source technology to challenge American dominance in the AI sector.

Key Points

• Technical Performance: DeepSeek V4 is highly specialized in writing computer code, significantly outperforming other existing open-source systems in that category.
• Open-Source Strategy: Unlike American giants, Chinese AI companies have largely embraced open-source distribution, which has accelerated the adoption of their models in sectors like robotics, logistics, and manufacturing.
• Global Market Impact: Chinese open-source models accounted for approximately one-third of global AI usage by the end of 2025, with DeepSeek and Alibaba emerging as the primary providers.
• Geopolitical Tensions: The competition has evolved into a power struggle; the U.S. has imposed export controls on advanced chips to hinder Chinese AI development, while Chinese firms leverage open-source tools as “soft power” to capture market share abroad.
• Overcoming Hurdles: Despite facing restricted access to advanced hardware and lower R&D spending compared to Silicon Valley, Chinese firms are narrowing the technical performance gap through rapid release cycles and collaborative development.
• Security Implications: As these models become more proficient at writing and analyzing code, they are simultaneously becoming powerful tools for both improving and potentially exploiting software cybersecurity.

By providing high-performing, cost-effective models that are freely available to the public, DeepSeek and other Chinese firms are gaining significant global influence among developers and industries. While American companies like OpenAI and Anthropic maintain proprietary models and allege that Chinese firms gain competitive edges through unauthorized data distillation, China’s open-source approach has successfully positioned its technology as a critical tool for global economic growth and industrial application.

This strategy not only fosters collaboration and innovation across borders but also challenges the dominance of Western tech giants in the AI landscape. By prioritizing accessibility and affordability, Chinese firms are rapidly building a reputation for democratizing advanced technologies, enabling smaller enterprises and emerging markets to harness the power of AI. As a result, this open-source approach is reshaping the competitive dynamics of the global AI industry, prompting other nations to reconsider their strategies in balancing innovation with intellectual property protection.

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