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Hacker News 'Ask HN: Who is hiring?' Thread for March 2026 Sparks Community Engagement

The 'Ask HN: Who is hiring?' thread for March 2026, published on Hacker News on March 2, 2026, has opened for community comments. This recurring feature on Hacker News serves as a platform for companies to announce job openings and for job seekers to explore opportunities within the tech industry. The content of this particular news item indicates that the thread is live and accepting contributions from the Hacker News community, facilitating direct interaction between employers and potential candidates.

Hacker News

The 'Ask HN: Who is hiring?' thread for March 2026 was officially published on Hacker News on March 2, 2026, at 16:00:27.000Z. This widely anticipated monthly feature provides a dedicated space for the Hacker News community to engage in recruitment activities. Companies and startups frequently utilize these threads to post details about their open positions, ranging from software engineering and data science to product management and design roles. Concurrently, job seekers actively monitor these threads to discover new employment opportunities and connect with potential employers. The current status of the thread, as indicated by the original news content, is that it is open for 'Comments,' signifying that the community is actively contributing and interacting within this recruitment-focused forum. This initiative by Hacker News continues to be a valuable resource for both those looking to hire and those seeking employment within the technology sector.

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Meituan LongCat Team Unveils WBench: The First Systematic Multi-Round Benchmark for Interactive Video World Models

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Meituan at ACL 2026: Advancing Generative AI Through Evaluation, Reasoning, and Optimization
Industry News

Meituan at ACL 2026: Advancing Generative AI Through Evaluation, Reasoning, and Optimization

The Meituan Technical Team has announced that six of its research papers have been accepted for ACL 2026, a premier international conference in computational linguistics and natural language processing (NLP). These papers represent a significant contribution to the field, covering a diverse range of cutting-edge topics including large language model (LLM) evaluation, complex process reasoning, and competition-level mathematical thinking optimization. Furthermore, the research explores advancements in reinforcement learning and the emerging field of generative recommendation systems. By focusing on these critical areas, Meituan aims to establish a new paradigm for generative AI, bridging the gap between theoretical research and practical industry applications. This selection underscores Meituan's growing influence in the global AI research community and its commitment to solving complex technical challenges in the NLP domain.

Meituan LongCat Open Sources General 365: A New Benchmark Revealing AI Reasoning Challenges
Industry News

Meituan LongCat Open Sources General 365: A New Benchmark Revealing AI Reasoning Challenges

Meituan's LongCat team has officially released General 365, an open-source benchmark designed to evaluate the reasoning capabilities of modern AI models. Through a rigorous assessment of 26 mainstream models, the team discovered a significant performance gap in the industry. Gemini 3 Pro emerged as the top performer with an accuracy rate of 62.8%, yet it remains one of the few to surpass the 60% mark. The majority of the models tested failed to reach this basic competency level, highlighting the ongoing challenges in developing advanced reasoning within artificial intelligence. This benchmark serves as a critical new tool for the AI community to measure and improve logical processing, setting a high bar for future model development.