一 | Sonu Sood, Wamiqa Gabbi and others have urged people not to lash out at the ground staff amid the major crisis caused by IndiGo. The airline cancelled most of their flights due to a shortage of manpower, leading to thousands of passengers being left stranded at various airports of major cities such as Mumbai, Delhi and Kolkata. Several flights have been delayed as well. Photos and videos that have gone viral on social media show passengers losing their calm and expressing the anger on the airport staff of IndiGo. Taking to social media, Sonu Sood shared a video and said in Hindi, "My own family was travelling, and they had to wait for 4–5 hours. Then their flight finally took off and they reached, but many flights didn’t take off, they were cancelled. A lot of people couldn’t attend weddings, meetings and events were cancelled. Everyone faced a lot of inconvenience." "A delayed flight is frustrating, but remember the faces trying to fix it. Please be nice and humble to the IndiGo staff; they are carrying the weight of cancellations too. Let’s support them." @IndiGo6E pic.twitter.com/rd3ciyekcS — sonu sood (@SonuSood) December 6, 2025 He continued, "But the sad part was how people were shouting at the ground staff at the airports. I know there’s frustration, disappointment, and anger. But just imagine yourself in their place. Even they don’t know what the upcoming schedule will be, whether the flights will take off or not. They simply pass on the messages they receive to you." Bhool Chuk Maaf Wamiqa Gabbi shared journalist Faye DSouza's post that read, "One thing is for sure, Indigo's ground staff deserves more grace and kindness from us. What is happening is not their fault and they have been left to face angry customers without any information or protection." Comedian-actor Vir Das took to Instagram to write, "The decent thing to do? The entire senior management of Indigo should be made to take shifts at the airport and stand there. From CEOs to VPs and such. The decision makers. Instead of the terrified junior employees with no power, cabin crew, and ground staff, who have been left to deal with the yelling and screaming." Nearly 1000 flights have been cancelled since Tuesday due to shortage of manpower and new crew regulations. Also Read: 13 Actors With The Best Biceps。 8 月 26 日消息，Artificial Analysis 于 8 月 24 日发布博文，宣布携手 Liquid AI，发布面向手机端的 AI 跑分基准，重点关注 AI 模型在苹果 iPhone 17 Pro 上的表现。
二 | 其中 Artificial Analysis 负责智能水平测试系统，Liquid AI 负责推理性能测试系统，双方选用 5 项基准测试：BFCL（Berkeley 函数调用排行榜）IFBench（指令遵循测试）AA-Omniscience（知识与认知相关测试）GPQA Diamond（高难度问答测试）MATH-500（数学问题测试）。测试模型对象为 4 bit 量化后体积不超过 8GB 的模型，示例包括 Gemma 4 E2B 和 LFM2-2.6B-Exp。
三 | 当上下文长度限制为 16K tokens 后，平均基准测试得分最高的是 Nanbeige4.2-3B 和 LFM2.5-2.6B。当响应时间限制为最长 1 分钟时，LFM2.5-8B-A1B 排名第 1，随后是 LFM2-2.6B-Exp、Gemma 4 E4B（Non-reasoning）和 Granite 4.1 8B。Nanbeige4.2-3B 是 BOSS 直聘旗下的南北阁实验室推出，仅含 30 亿非嵌入参数（总参数约 40 亿），采用 Looped Transformer 架构，通过在不增加参数量的前提下复用 Transformer 层（循环两遍），提高模型的有效计算深度和容量。横轴表示“输出 256 个 token 所需的时间（秒）”，纵轴表示“上下文长度限制为 16K 个 token 时的平均基准测试得分”。“Nanbeige4.2-3B”的基准测试得分与“LFM2.5-2.6B”相当。在上下文长度限制为 16K 个 Token 时，平均基准测试得分中得分最高的是 Nanbeige4.2-3B 和 LFM2.5-2.6B。当响应时间限制为最长 1 分钟时，LFM2.5-8B-A1B 排名第 1，随后是 LFM2-2.6B-Exp、Gemma 4 E4B（Non-reasoning）和 Granite 4.1 8B。附上相关截图如下：。
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