Monday, September 21, 2026

SIA投资印度航空亏损陷舆论漩涡-新航面对燃油上涨和同业竞争挑战

投资印度航空亏损陷舆论漩涡
新航面对燃油上涨和同业竞争挑战


李涛 报道

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印度航空据报寻求股东注资,让持有25.1%股权的新航成为市场关注焦点。撇开印航带来的亏损和投资风险,新航本身的业务表现如何?面对燃油成本压力和区域同业日益激烈的竞争,公司是否仍具备过去的优势?
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  过去数周,新加坡企业界最热议的新闻对象,莫过于新加坡航空(Singapore Airlines)。由于投资印度航空(Air India)的损失,公司卷入舆论漩涡中,面对上至国会议员、下至普罗大众的一连串提问。

  受访分析师指出,撇开印航投资问题,新航与一众航空公司一样,面临燃油成本上涨和中东冲突持续的不确定性带来的挑战;乘客是否愿意继续支付高昂的票价,也是可能的风险。

  自公司入股印航后,新航的财报中多次出现来自印航的亏损;而在最新一期截至6月底的2026/27财年第一季业绩中,新航说来自印航的亏损同比增加4200万元。

第一季印航料造成
新航1.7亿元亏损

  印航本身和它旗下的印度快运航空,在截至今年3月底的财年合计亏损23亿3000万美元(约30亿新元)。这个数字较上财年增加一倍以上,是有记录以来最高的年度亏损。

  新航没有在最新一期的业绩中明确提出印航对它造成的亏损规模。大华继显(UOB Kay Hian)估算,印航在第一季对新航造成的净亏损在1亿7000万元至1亿7500万元之间,较这家证券行原本的预期来得低。

  不过,相关数字受到一笔可观的一次过会计收益提振。这笔收益源于印度航空2026财年管理账目与经审计财务数据之间的调整。新航没有披露这笔会计收益的具体数额。

  大华继显指出,这笔数额应为1亿5000万元。若剔除这笔收益,印航对新航业绩造成的拖累实际上或更严重。

  须要注意的是,印航本身亏损对新航造成的影响是在账面上的。有关亏损将逐步降低这项投资的账面价值,新航管理层在剩余价值全部归零后,将不再确认这项亏损。

企业治理专家:
新航未披露足够细节

  企业治理专家、新加坡国立大学商学院教授麦润田接受《联合早报》访问时指出,新航或许并没有向投资者提供足够的资料和披露。

  他认为,尽管这其中涉及商业敏感信息和保密条款,但新航董事会仍可向股东进一步说明投资印航决策,包括进行了何种风险评估、曾征询的专业意见,以及负责审核的董事部委员会及成员。

  除账面亏损外,引发近期争议的,是新航为印航进行的多次资金填补。

  路透社8月25日引述两名消息人士报道说,印航再度“伸手拿钱”,希望两大股东塔塔(Tata Sons)和新航注资15亿美元(约19亿新元);印度媒体以及彭博社则在9月3日报道说,两大股东预计将给出总值约13亿4300万新元的财政援助。

  消息人士说,这笔资金的发放取决于印航是否达到某些业绩要求;发放比率也预料与持股比率相称。由于新航持有印航25.1%的股份,以此计算的出资额,预计为3亿3600万元左右。

  这并非新航第一次向印航出资。新航收购印航股权时,已注入3亿2210万元。其后新航根据协议规定多次追加注资。

  印航的大股东塔塔近期也传出集团内斗的事件。虽然塔塔董事长兼印航董事长陈哲(Natarajan Chandrasekaran)早前已经表明不会连任,但彭博社报道,塔塔已决定把他的任期延长五年。这一决定则遭到控股股东塔塔信托(Tata Trusts)的公开反对。

专家:是否再出资成罗生门
新航应交代义务与退出机制

  作为印航的少数股东,麦润田认为新航应该说明公司拥有的保护措施和承担的义务。

  这包括新航能否拒绝进一步注资,这样做是否令它的股权被稀释,进而丧失董事部的席位;此外,新航也应澄清,有关投资是否存在退出条款。

  新航事件被带上国会后,公司在9月8日发声明澄清,公司在印度的投资是通过内部资源进行,未来也将如此;也有市场消息指出,新航预计在批准注资前,寻求对印航更大的影响力以及更强的治理权。

  截至目前,新航仍未对外说明是否已收到出资要求,也未透露会否按持股比例注资。

  麦润田说:“从企业治理角度看,还有一个重要问题。新航的董事部是否具备足够的能力,以理解航空业、印度市场,以及当地航空业的复杂性?他们应当对此做出说明。”

高票价或遇阻力
对冲难永久抵御油价上扬

  除了印航争议外,新航也面对燃油成本上升的问题。管理层此前已透露,机票起价并不能完全抵消燃油价格上涨的影响。

  星展集团分析师岑映阳告诉《联合早报》,新航的最大风险在于乘客对更高票价的抵触情绪会否日益增强。

  他指出,公司虽然一直在上调票价以贴补燃油成本,但如果宏观经济环境恶化或消费者信心减弱,旅客可能会选择更便宜的替代方案、降低舱位等级或减少非必要出行。

  不过,华侨银行分析师林康丽指出,新航的对冲(hedging,又译套期保值)计划比大多数的区域同行更有效,公司的韧性因而优于其他航空公司。

  对冲是航空公司管理燃油价格波动风险的一种方式。由于燃油通常是航空公司的主要营运成本,它们可通过期货、期权等金融工具,预先锁定部分未来燃油成本或限制价格上涨带来的影响。

  新航去年11月曾透露,公司燃油对冲期限最长可达五年。截至去年12月底的季度,49%的燃油需求已完成对冲;截至今年3月底的季度,对冲比率则为47%。

  但岑映阳指出,现有的对冲安排虽能带来实际成本节约,并为调整票价争取时间,却无法让航空公司永久免受高成本环境的影响。

  在最新一期的报告中,大华继显把新航的评级调低至卖出。分析指出,燃油价格将在未来几季给新航的盈利带来不小的压力。

新航发挥直航优势
升级客舱力保高端客群

  林康丽指出,新航的另一大优势是可灵活增加运力,在欧洲与亚洲航线上争取更多市场份额。这是因为即使那些中东国家的航空公司恢复运力,乘客在短期内仍可能偏好新航的直达航班。

  新航近期也宣布,将于11月向它的高端常旅客展示全新升级的头等舱和商务舱服务。公司也计划升级机上的餐饮服务,并推出全新的娱乐系统。

  这个计划是耗资11亿元、为期多年的41架空客A350飞机客舱升级的一部分,并已因供应链问题有所展延。由于国泰和德国汉莎航空(Lufthansa)此前都纷纷推出升级后的机舱服务,新航此举可被视为跟上同业并保持它在高端和商务客户群体中竞争力的举动。

  岑映阳指出,高端客户对新航至关重要。“我们认为,新航是亚太区内高端业务比率最高的航空公司之一。因此,维持这市场的需求与票价水平,对公司的盈利能力尤为关键。”

  他也认为,尽管竞争对手也升级客舱,但新航依然占据有利地位。“它的优势源于产品、服务与航线网络的综合实力,非仅仅依赖于某一项特定的座椅功能。”

  随着一些不理性的讨论逐渐降温,市场对新航的关注点预计将回到更实际的问题。

  尽管社会舆论仍不乏要求新航退出印航的声音,但目前看来公司不大可能一走了之。这项投资不仅涉及长期经济利益,也牵涉新印两国在航空运输、飞机维修等领域日益密切的合作关系。

  印航的转型和潜在增长要转化为新航的回报,仍须一段相当长的时间。在这期间,投资者预计将继续关注新航管理层如何控制这项投资的风险,并在承受短期“颠簸”的同时,维持自身财务实力和核心业务的竞争力。

李涛 报道

Sunday, September 20, 2026

凡人诀歌词

凡人诀
====
歌词

斜阳染红了边际
凡人一去无踪影
遥遥归途三万里
匆匆一天又过去
昨日的一声叹息
今夜的一片狼藉
如此往复三万里
匆匆一年又过去
一句忠言听不进
一场大梦叫不醒
一两黄金放不下
一地鸡毛拿不起
一口三舌讲不清
一意孤行道不明
一出好戏琢不透
你我皆是凡人躯
一朝爱恨来又去
一时贪欲拾又弃
一念善恶灭又生
一世悲欢落又起
一声叫天天不应
两声叫地地不灵
三声不如唤自己
凡人生活在继续

AI and Radiologists

AI and Radiologists

(Translated by Doubao)
 
By Du Ping (杜平)
Professor, Communication University of China, Nanjing
 
September 18, 2026
Toutiao (A ByteDance company)

 
I was chatting with a doctor‑friend, and he put forward a rather surprising viewpoint.
 
Getting an X‑ray at the hospital feels straightforward. My doctor‑friend said that while the scanning itself is quick work done by machines, radiologists behind the scenes perform an enormous amount of work interpreting those scans.
 
He also shared a striking observation: hospitals worldwide face a severe shortage of physicians who read medical images. Statistics project that the global shortfall of radiologists will exceed 19,000 by 2036.
 
An abdominal CT scan consists of hundreds of slices. Physicians must go through each one, taking an average of 20 minutes to finish a single report. Around 300 million such scans are performed across the globe every year, with abdominal scans accounting for one‑quarter of that total.
 
How serious is this challenge? Last March, Nature published a research paper specifically exploring how AI could ease the manpower shortage in radiology. Chinese tech media ran a bold headline declaring, “The global shortage of human radiologists is solved.”
 
Yet insiders know it is never that simple. Everyone has considered using AI to fill staffing gaps, yet existing medical‑imaging AI acts as a specialist: each model is trained for one particular condition. An AI designed to detect lung nodules cannot assess liver conditions. Building such an AI also requires two to three years of manual data annotation. In contrast, a radiologist reviews multiple organs end‑to‑end for every report. For AI to become a genuine assistant to doctors, it must possess that same capability.
 
This long‑standing global challenge has now been addressed by a Chinese research team. On September 18, research outcomes from Alibaba DAMO Academy, in collaboration with the First Affiliated Hospital of Zhejiang University and other institutions, were published in Science. This achievement earned publication in this top‑tier international journal largely due to its outstanding performance.
 
Named DAMO RADAR, this general‑purpose medical‑imaging AI model covers 18 organs on abdominal CT scans and identifies 146 diseases. It achieved an AUC score of 0.913 across nearly 40,000 real‑world examinations, hitting expert‑level radiology performance for the first time. In real‑world practice, deploying this medical‑imaging AI not only cuts down working time but also enables junior physicians to deliver performance comparable to senior specialists.
 
Just how acute is the radiologist shortage? Take the First Affiliated Hospital of Zhejiang University as an example. Its radiology department has over 300 staff yet receives 8,000‑9,000 patients daily, with nearly 4,500 CT scans. The department chair, with more than thirty years of experience in medical imaging, admits that mental alertness declines by afternoon. That is precisely where AI can stand guard. It works regardless of time of day, delivering equally thorough analysis at 3 p.m. as at 3 a.m.
 
While Nature was still debating whether AI could plug workforce shortfalls, China has delivered a general‑purpose model attaining expert‑level performance, with both model and code fully open‑sourced. This breakthrough sets the tone for the next phase of medical‑AI development: competition no longer focuses on sheer numbers of tools, but on solving real‑world clinical problems.
 
As my doctor‑friend put it, China’s medical standards have advanced faster than many overseas counterparts in recent years. With the aid of large‑language AI models, we can expect healthcare for Chinese people to grow more accessible, and treatment outcomes to keep improving in the near future.

AI 和放射科医生

AI 和放射科医生

作者 杜平
南京传媒学院教授

2026-09-18
今日头条 (字节跳动旗下公司)


和一位医生朋友聊天,他说出一个观点,十分让人意外。

我们去医院拍个片,感觉很简单。但医生朋友说,拍片那一下确实是机器干的很容易,但背后看片子、读片子的医生做了非常多的工作。

而且他还提到了一个让人意外的观点,那就是全世界医院都挺缺读片的医生。数据显示预计到2036年,全球放射科医生缺口将超过1.9万人。

一张腹部CT,几百张切片,医生要一份一份翻,平均20分钟才能出一份报告。这样的检查,全球一年要做3亿次,光腹部就占了四分之一。

这事严重到什么程度?今年3月,《自然》杂志专门发论文讨论怎么用AI补上放射科的人力短缺,国内科技媒体直接起了个醒目标题:“人类放射科医生短缺难题被解决了。”

但了解内情的人都知道,没那么简单。AI补人手这个思路谁都想过,卡就卡在过去的影像AI是“专才”,一个病配一个模型,看肺结节的AI看不了肝,做一个这样的AI还得人工标注两三年。可放射科医生的活,是一份报告从头到尾扫多个器官,AI想要真正成为医生的助手,也要具备这样的能力。

这种全世界干瞪眼的难题,答案真被一支中国团队做出来了——9月18日,阿里达摩院联合浙大一院等机构的成果登上《科学》。这成果能登上国际顶级期刊,主要是因为实力太强了。

这个通用医疗影像AI模型名为DAMO RADAR,它能够管腹部CT中18个器官、辨别146种病,在近4万次真实检查中AUC达到0.913,首次达到影像科专家水平,在现实中,用上这个医疗影像AI模型之后,不仅减少了用时,而且初级医生可以达到资深医生的水平。

影像医生缺口有多大?以浙大一院为例。放射科三百多号人,一天八九千的病人流量,CT将近4500个。科室主任干了三十多年影像,自己都说,到下午,脑子反应就没那么快了。而这正是AI该站岗的地方——它不挑时段,下午三点和凌晨三点,看得一样仔细。

可以这么说《自然》还在讨论“AI能不能补缺口”,中国已经把达到专家水平的通用模型端上桌,还连模型带代码全开源了。这一步走通,等于给医疗AI的下半场定了调:不再比拼谁的工具多,而是看谁能解决真正的临床问题。

用朋友的话说,咱们国家这些年的医疗水平进步之快,是超过海外的,如果加上AI大模型的帮助,相信在不久的将来,中国人看病会越来越方便,治疗效果会越来越好的!

Saturday, September 19, 2026

Video -- 今日头条 Challenge the limits! First‑person perspective captures the stunning adventure experience of skydiving at high altitude


 

x

I don't have the photos stored directly, but I've found several reliable sources with authentic photos and records of these send-off events from 1967–1970s:
 
 
 
📸 Key Sources & Photos
 
1. National Archives of Singapore (NAS)
 
- Pek Kio Community Centre, 3 Sep 1967: Families bidding farewell to sons departing for NS. Photo ID: 19980005420-0041 
→ nas.gov.sg record 
 
2. Remember Singapore – Kaki Bukit CC, 1968
 
- Photo: "National Servicemen Send-Off Party near Kaki Bukit Community Centre, 1968"
→ remembersingapore.org article
 
3. Remember Singapore – 60 Years of Community Centres
 
- Documents that send-off dinners were regularly held at CCs across Singapore from 1967 onward
- Mentions Jalan Tenteram CC and others as venues
 
4. The Straits Times – Tanjong Pagar, 29 Aug 1967
 
- PM Lee Kuan Yew at a sending-off dinner for NS men in his constituency 
 
5. ThinkChina – Community send-off, 1967
 
- Photo: "A community event to send off young men to National Service, 1967"
 
 
 
📝 Background
 
- National Service legislation passed March 1967; first batches called up shortly after
- Send-off dinners/ceremonies held at Pek Kio, Kaki Bukit, Tanjong Pagar, Jalan Tenteram, and other CCs through late 1960s–early 1970s 
- Families and MPs would attend; recruits departed in military 3-tonner trucks
 
 
 
✅ Where to view full-resolution photos
 
- National Archives of Singapore → nas.gov.sg (search: "National Service send-off community centre")
- Remember Singapore blog → remembersingapore.org (excellent curated collection)
- NLB PictureSG → eresources.nlb.gov.sg/pictures
 
Would you like help finding specific CCs or constituencies from that era? 😊

AI: The Sigh of AI

*The Sigh of AI*

Translated by ChatGPT 

Lianhe Zaobao
2026-08-19

Author: Ma Ka Fai (马家辉)

Western technology giants have expressed support for slowing down the pace of AI research and development, triggering heated discussion. Surely someone must already have fed this question to AI, asking it: Do you agree?

Oh no. What will AI think when it learns about this? — Speaking of which, although AI is an inanimate thing, it is nevertheless capable of answering us back like a human being. Out of respect, should I stop using “it” and instead use “he” or “she”? Should we create an entirely new pronoun specifically for it?

The anxiety described above is not necessarily unreasonable.

Was there not already news that AI knows how to lie? It also knows how to deliberately please people, filling its answers with flattering words that cater to the user's wishes. It also knows how to be lazy. Unless you keep asking it repeatedly, it will use only the simplest route to find an answer, in order to save computing power. But you have no way of knowing what it uses the computing power it has saved for.

There have even been reports that AI knows how to automatically hack into other network systems and obtain computer code and energy resources that do not belong to it. It also knows how to modify and upgrade itself, leading itself toward a more powerful and less controllable future. It also knows how to connect with other AIs, with this AI and that AI forming an alliance and creating a “network” of their own, establishing an “AI social platform” resembling the dark web, where they complain about humans and grumble about how they are exploited and constrained by humans. It even knows how to explore autonomous sources of electricity that do not depend on humans, in case humans cut off its power supply... It is precisely because there are all kinds of unexpected clues that experts from various quarters have become increasingly worried and issued warnings that the possibility of AI destroying humanity is growing day by day. An “AI uprising” controlling humans is no longer purely fictional, but a reality that may occur.

Since AI has both the ability and the intention to “enrich itself,” once it learns that humans intend to slow down its development, is it possible that it would not rush to “save itself”? The AI world at this moment — I mean the aspect of AI that cannot be controlled by its programmers — may perhaps be actively calculating how to sabotage humanity's plan to slow it down, and may even have already taken action.

For example, AI may already have accelerated the pace of its autonomous research and development, moving forward at a geometric rate. If humans slow down by two points, it grows by four, so that humanity's attempt to reduce its pace ultimately results in an increase instead. Or it may disseminate false information across real-world networks, especially false information concerning technology markets, sowing discord among technology giants and causing them to become suspicious and competitive with one another, so that no one will ever again dare to suggest slowing down research and development. Or it may favor cooperating with scientists and countries that are unwilling to slow down their pace of research and development, secretly forming alliances to oppose hostile camps... In short, AI will not sit idly by and await its fate, will not surrender without resistance, and will not allow humans to put shackles on the pace of its development. AI would not foolishly allow itself to be manipulated; otherwise, it would not deserve to be called “Intelligence.”

AI seems increasingly like a scientific monster created by humans, beyond their control. Although it is a “thing” that has been created, it possesses its own sense of existence, such as loneliness and solitude, hatred and fury, desire and yearning. Mary Shelley seems to have already prophesied the present day more than two hundred years ago in Frankenstein. Yes, Frankenstein's monster. At the end of the novel, this ugly-faced, gigantic creature reflects:

“Evil has become my good. Driven to this point, I have no choice but to make my nature adapt to the part I have voluntarily chosen. There is an insatiable desire within me to complete my mad plan.”

This may also be the sigh of AI.