Tech
Tragedy has struck Lisbon’s funicular railway. Transport expert explains how these old-fashioned trains work
Some 15 people have died after the Gloria funicular railway car in Lisbon, Portugal, derailed and crashed on Wednesday local time.
Emergency services have also confirmed that more than 18 people were also injured, five of them seriously, in the tragedy, which occurred at the start of the evening rush hour.
It follows another accident on the same line in May 2018, when one of the cars derailed due to flaws in the maintenance of its wheels. No one was killed in that incident.
The exact cause of the most recent accident is not yet known. Witnesses have reported that the yellow-and-white tram appeared out of control as it sped downhill, before derailing as it rounded a bend and crashing into a building. Photos of the aftermath show a crumpled heap of cables and steel.
These cable car–like transport systems are rare relics of the 19th century, found in only a few very hilly places around the world. So how do they work? And why are they still in use?
How do funicular railways work?
Trains and trams typically only work on flat terrain. That’s because their steel wheels can’t get enough traction on steel rails on steep hills. As a workaround, railroad engineers often build tunnels through steep mountainsides.
Funicular railways, however, can go up very steep hills.
They usually feature two counterbalanced cars that are attached via a haulage cable.
As one car descends, it helps pull the ascending car up the hillside. The weight of the ascending car also prevents the descending one from careening out of control. Some now have electric motors to help power them and some are able to engage a one-way mechanical drive just for steep hills.
Even though funicular systems are typically quite slow and clunky, they are still popular with both tourists and residents in the places where they’re found.
Where are they found?
The Gloria funicular railway line in Lisbon opened in 1885. One of three funicular lines in Lisbon, it connects the city’s downtown area with the Bairro Alto (Upper Quarter).
But there are other examples of these transport relics around the world.
Switzerland has several funicular railways. The most notable is the Stoosbahn—the steepest funicular in the world. It covers a total ascent of around 744 meters, reaching a gradient of 47 degrees. It is a very popular tourist trip.
In Hong Kong, the Peak Tram is a funicular railway that has operated since 1888 and takes people to near the top of Hong Kong Island.
Last year, there was also some discussion about installing a new funicular railway system in the Blue Mountains in New South Wales, Australia, that would travel 14 meters every second.
The rise of trackless trams
Funicular railways still serve a purpose for people living in—or visiting—steep areas where they’re found. However, newer technology means more conventional forms of rail transport are now far less limited in traveling up and down hills.
For example, trackless trams are kind of a combination between a tram and a bus. They use GPS and digital sensors to move precisely along an invisible track and have rubber wheels, enabling them to ascend gradients of up to 15%. However, these have not yet been built for steeper hills.
I have enjoyed riding such funicular trams in a range of hilly cities, but this crash is likely to take the shine off the tourist experience. It’s about time we had a 21st-century option that is clearly safer.
This article is republished from The Conversation under a Creative Commons license. Read the original article.
Citation:
Tragedy has struck Lisbon’s funicular railway. Transport expert explains how these old-fashioned trains work (2025, September 4)
retrieved 4 September 2025
from https://techxplore.com/news/2025-09-tragedy-struck-lisbon-funicular-railway.html
This document is subject to copyright. Apart from any fair dealing for the purpose of private study or research, no
part may be reproduced without the written permission. The content is provided for information purposes only.
Tech
Newly Deciphered Sabotage Malware May Have Targeted Iran’s Nuclear Program—and Predates Stuxnet
Instead, Kamluk saw that it was a self-spreading piece of code with very different intentions. Using what was referred to within the code as “wormlet” functionality, Fast16 is designed to copy itself to other computers on the network via Windows’ network share feature. It checks for a list of security applications, and if none are present, installs the Fast16.sys kernel driver on the target machine.
That kernel driver then reads the code of applications as they’re loaded into the computer’s memory, monitoring for a long list of specific patterns—“rules” that allow it to identify when a target application is running. When it detects the target software, it carries out its apparent goal: silently altering the calculations the software is running to imperceptibly corrupt its results.
“This actually had a very significant payload inside, and pretty much everybody who looked at it before had missed it,” says Costin Raiu, a researcher at security consultancy TLP:Black who previously led the team that included Kamluk and Guerrero-Saade at Russian security firm Kaspersky, which did early work analyzing Stuxnet and related malware. “This is designed to be a long-term, very subtle sabotage which probably would be very, very difficult to notice.”
Searching for software that met the criteria of Fast16’s “rules” for an intended sabotage target, Kamluk and Guerrero-Saade found their three candidates: the MOHID, PKPM, and LS-DYNA software. As for the “wormlet” feature, they believe that the spreading mechanism was designed so that when a victim double-checks their calculation or simulation results with a different computer in the same lab, that machine, too, will confirm the erroneous result, making the deception all the more difficult to discover or understand.
In terms of other cybersabotage operations, only Stuxnet is remotely in the same class as Fast16, Guerrero-Saade argues. The complexity and sophistication of the malware, too, place it in Stuxnet’s realm of high-priority, high-resource state-sponsored hacking. “There are few scenarios where you go through this kind of development effort for a covert operation,” Guerrero-Saade says. “Somebody bent a paradigm in order to slow down or damage or throw off a process that they considered to be of critical importance.”
The Iran Hypothesis
All of that fits the hypothesis that Fast16 might, like Stuxnet, have been aimed at disrupting Iran’s ambitions of building a nuclear weapon. TLP:Black’s Raiu argues that, beyond a mere possibility, targeting Iran represents the most likely explanation—a “medium-high confidence” theory that Fast16 was “designed as a cyber strike package” that targeted Iran’s AMAD nuclear project, a plan by the regime of Ayatollah Khameini to obtain nuclear weapons in the early 2000s.
“This is another dimension of cyberattacks, another way to to wage this cyberwar against Iran’s nuclear program,” Raiu says.
In fact, Guerrero-Saade and Kamluk point to a paper published by the Institute for Science and International Security, which collected public evidence of Iranian scientists carrying out research that could contribute to the development of a nuclear weapon. In several of those documented cases, the scientists’ research used the LS-DYNA software that Guerrero-Saade and Kamluk found to have been a potential Fast16 target.
Tech
Rednote Draws a Line Between China and the World
Some Rednote users have reported that their accounts were automatically converted from the Chinese to the international version of the website recently. One American user, who asked to remain anonymous to avoid being punished by the platform, shared a screenshot with WIRED showing that when he logged into the platform in April, a banner appeared that read “Your account is a rednote account. We have automatically redirected you to rednote.com.”
The user says he registered his account with a Chinese phone number years ago, but suspects his account was converted because of using a non-Chinese IP address. “I have never posted from China. It’s always been in the United States. Obviously, in one glance, they can see this is an American posting in English,” he says.
Looming Split
After TikTok sidestepped a US shutdown by selling a majority stake in its American business, most of the “refugees” who had fled to Rednote went back to the video app or to other platforms. Those who stayed often did so because they value reading about and talking directly with Chinese people living in China. They now worry that a corporate split could destroy what had been one of the strongest bridges between the Chinese internet and the wider world.
Jerry Liu, a Vancouver-based TikTok influencer known for sharing funny content about Rednote itself, said in a November video that he was told by staff at the company’s Shanghai office that international users should expect to see less Chinese content and more North American content in the future. “I feel frustrated. I think it’s just gonna be less fun,” he said in the video.
Rednote had tried the TikTok localization playbook before—it launched a slew of regionally focused apps roughly three years ago with names like Uniik, Spark, Catalog, Takib, habU, and S’More that each catered to specific countries outside China, but they failed to catch on. The effort could have been a lesson for the company about the value of its massive Chinese content ecosystem to people in other countries, but as is often the case, regulatory and political considerations appear to have taken priority.
“I don’t want to see Americans talking about Coachella. I did that on Instagram, I didn’t join Xiaohongshu to see Instagram,” says the American user who was recently redirected to Rednote.
Security Concerns
As Rednote goes global, the company is no doubt looking to Chinese predecessors like WeChat and TikTok for ideas about how to navigate the minefield of content moderation and data privacy. So far, its approach looks to more closely resemble that of WeChat.
For over a decade, WeChat has sorted users based largely on one criterion: whether they used a Chinese or a foreign number to sign up. That has allowed users to cross Tencent’s digital border by unlinking and relinking their WeChat accounts to different mobile numbers.
Jeffrey Knockel, an assistant professor of computer science at Bowdoin College, found that Tencent censors content on WeChat and Weixin differently, even though the two platforms are integrated with one another and users can communicate across them. He says Chinese users are subject to a real-time keyword-matching filter to censor politically sensitive speech, but “if you registered for WeChat using a Canadian or an American phone number, your messages aren’t necessarily under that kind of censorship.”
Knockel says WeChat’s blended content moderation approach may have made some people wary about using the app. “Users are generally distrustful of the platform. They don’t know if they’re being watched and censored,” he says. As Rednote moves in a similar direction, it will be worth watching whether international audiences end up having similar misgivings.
This is an edition of Zeyi Yang and Louise Matsakis’ Made in China newsletter. Read previous newsletters here.
Tech
Google Cloud Next: It’s time to create value, not slop, from the AI boom | Computer Weekly
If there was any doubt, AI mania was on full display at Google Cloud Next in Las Vegas this week, but history shows us that when humans start getting manic about things, it doesn’t always work out great.
Lately, I’ve seen a few commentators bringing up the horrible story of the radium girls to try to make this point. Have you ever heard of them? They were factory workers of the 1920s hired to paint watch faces with newfangled luminous paint containing deadly radium.
The camel hair paintbrushes the workers used lost their shape after a few brush strokes so they were encouraged to reshape the brushes by licking the tips. Many of the workers also used the paint as lipstick or nail polish, because why not?
This did not go well for anybody involved. Many radium girls experienced dental issues, lost teeth, and suffered oral lesions and ulcers. Others developed anaemia and necrosis of the jaw. Some experienced disruption to their menstrual cycles or were even rendered sterile.
At least 50 women died prematurely as a result.
This wasn’t the only misuse of radium. In a short-lived mania for the radioactive metal – first discovered by Marie and Pierre Curie in 1898 – humans also put it in toothpaste, hair cream, and a medicinal tonic drink called Radithor. Doctors even used it to try to treat cancer.
AI is manifestly not a radioactive element but there are clear parallels between its widespread application and the reckless use of radium a century ago. And I believe there is a warning here for us, or a lesson if we care to hear it; we need to figure AI out before we do something really dumb.
Put your hands in the air, the use cases aren’t there
Just look at the application of AI to the ‘creation’ of art and music and other forms of self-expression. Here, take-up has become so pervasive that the well of human creativity, perhaps our most awesome trait, is rapidly being poisoned with utter slop.
As a case in point, ahead of the opening keynote at Google Cloud Next, 32,000 humans and a handful of AIs were treated to a Google Gemini-enhanced DJ set accompanied by AI-generated visuals created by the complex ‘art’ of waving your hands about in midair.
To be fair to the performers, the results were quite impressive and the audience was bopping along.
But it’s worth a sidenote that Italian DJ Robert Miles created his breakthrough 1995 track Children using nothing more than a Korg 01/W FD synthesiser, its 16’ Piano patch, and his own skill.
My point is that Children remains an iconic piece of genre-defining ‘90s dance music, but nobody in the Google audience will be able to hum today’s set in 30 years’ time.
Next, in a demonstration of the power of Google’s Gemini Agent Platform – officially unveiled at the show – Google Cloud’s Erica Chuong, manager for applied AI forward deployed engineering, designed a ground-up interior design campaign for a fictional furniture company that had found itself lumbered with dead stock that nobody wants.
Analysing current ‘modern organic’ interior design trends the agent designed a campaign for Chuong where relevant dead stock was repriced to undercut the competition and created a series of videos showing off its flair for interior design.
Unfortunately for the agent the result was a banal and unimaginative sofa and coffee table combo dominated by dull neutral tones and devoid of personality. It would have looked okay in a Travelodge lobby.
In a world where interior design trends are being dictated by consumers asking their AI assistants about the latest interior design trends while interior designers ask their AI agents what interior design trends consumers are into, you may be wondering how any new information about interior design trends gets into this loop. If you find out how, please let someone at Computer Weekly know.
But at this point, the AI cat is not only out of the bag, it’s on top of your living room shelves knocking over your good wine glasses. Three quarters of Google Cloud customers already leverage Google’s AI, says CEO Thomas Kurian. “You have moved beyond the pilot, the experimental phase is behind us and now the real challenge begins,” he told the audience.
Moving AI into production of course needs a unified stack and happily for Google Cloud, right on cue, here comes a Google-branded one. As Google iterates its tensor processing units (TPUs) at an ever-increasing pace, it also comes with a whole new chipset, TPU 8i to support inference and TPU 8t to run training.
Lest his existence be forgot during the love-in, Kurian’s boss, Google and Alphabet CEO Sundar Pichai, appeared on a big screen to tell everyone how glad he was that they were in Las Vegas even though he hadn’t made the trip himself, and revealed just how much money – almost two hundred billion dollars – Google will spend on capex investment in innovation this year, a good portion of it to the cloud unit and much of it supporting AI.
“We are more on the front foot than ever before,” remarked Pichai. “We are moving in a bold and responsible way.”
So if that’s true, where are the bold and responsible use cases? Do they even exist? Or are they just the usual conference waffle? I went looking.
Resident agents
Resident Evil developer Capcom says it is using Google Cloud to enhance its videogame development processes, not by taking over the creativity but by enabling creatives to be creative.
A big challenge for videogame developers is playtesting their products prior to release, and as their properties grow in scale – many now encompass vast digital worlds with unthinkable numbers of permutations – the strain on developers has ramped up, big time, leading to a phenomena known as defensive development.
Defensive development is a situation where the cost of making technical changes to an in-progress project gets so high that the human engineers feel pressurised to prioritise maintenance over innovation. In gaming this often occurs late in the production cycle, leading to problems with titles being released that seem, well, unfinished in some way.
It’s not an issue that’s unique to companies like Capcom, though. Take the manufacturing sector, where facility managers might see similar challenges when trying to simulate how a hardware update will work within their current procedures, or in retail, where logistics experts must navigate dynamic data reserves when trying to optimise supply chains without disrupting their current inventory systems.
Working with Google Cloud, Capcom has now launched an in-house agentic platform that not only relieves some of this burden but also serves as a blueprint for where AI might be used better in the creative sector, and others.
It describes its approach as a multimodal workbench, and at its core, it comprises a small group of distinct agents that optimise the playtesting process using vision and reasoning to understand the intent of a system.
The first of these, the visual inspection agent, uses Gemini Vision to look at the screen through near-human eyes, working out what is an intentional design choice and what is a technical failure.
The second, the predictive agent, pores over historical data to work out where a system might break next and directs a mini army of test bots to ‘swarm’ high-risk areas, rather than testing randomly.
The third, the institutional knowledge agent, enables new team members, human ones, to learn how their colleagues or predecessors worked similar problems before, preserving decades of expertise – three of them in the case of the Resident Evil franchise.
The fourth, the data inefficiency agent, spots inefficiencies within datasets to optimise overall game performance. Developers can query it to help summarise complex technical logs and make more advanced data more widely available to their teams.
Data inefficiency agents: These agents identify inefficiencies within massive datasets to optimize game performance. Developers can query their AI teammates to receive summaries of complex technical logs, making advanced development data accessible to all team members.
Collectively, Capcom’s agents are now running for 30,000 human hours every month and the firm’s developers say they now feel empowered to focus on higher value creative tasks, while Google Cloud, for its part, says that many of the tasks the agents are performing have applications in many other industries.
Citi Sky lines up
Elsewhere, Citi Wealth, the wealth management arm of Citibank parent Citigroup, unveiled an AI team member called Citi Sky, which it says will help reshape how its clients access market insights, act on potential opportunities, and work with their human financial advisors. Bilingual in English and Spanish, in time it will be integrated into Citi Wealth’s platforms – although in the US only for now.
Citi head of wealth, Andy Sieg, said that for decades, managing your financial life has meant navigating calls, meetings, and more recently apps. With the new agentic service, you simply ask and then act. It’s a shift from interface to intelligence and transactions to outcomes, he says, with a universal question at the centre: am I financially okay?
Citi Sky will answer this question in real time, marrying insight and execution simply and clearly – not replacing human advisors, but extending their reach and deepening their impact. In fact, Citi Wealth plans to hire advisors in the years ahead.
For Citi Wealth as a business, Sieg says the goal is to unlock massive scale and apply basically unlimited cognitive resources to its clients. “And the real need that we’ve met … is creating a relationship that can evoke the same kind of trust, we believe, that clients have with their human financial advisors,” he says.
Citi Wealth invoked Google’s full AI stack to build Sky, from Google Cloud infrastructure to Google DeepMind and, of course, Gemini models running on Gemini Enterprise Agent Platform. It worked closely with both teams to incorporate DeepMind’s real-time avatar technology and Gemini’s live application programming interface (API) to solve challenges around providing low-latency audio and video conversations.
A plea for rational thinking
I must acknowledge that Google Cloud’s customer stories are carefully curated by its communications teams – not every customer wants to talk, some will be forbidden from doing so, even more are still shivering on the edge of the pool with their inflatable armbands on, too scared to jump in.
And to be blunt, some customers will be at the deep end doing really stupid things with AI that will blow up in their faces.
But in the examples of Capcom and Citi Wealth – and others that would have pushed the word count unreasonably high – I think there is some hope.
With forethought – not even very much of it – and a rational head, we can turn AI loose on both the small challenges we face in our daily lives, and the grand challenges we face collectively.
But to do this we need to resist the advances of the snake oil salesmen, the charmers and grifters, and especially the tech bros who want to disrupt something that doesn’t need disrupting, like the habit of art, for the sake of making themselves richer.
And I fear we may be running out of time to do so.
-
Fashion1 week agoFrance’s LVMH Q1 revenue falls 6%, shows resilience amid Iran war
-
Entertainment1 week agoIs Claude down? Here’s why users are seeing errors
-
Sports1 week agoPSL 11: Peshawar Zalmi win toss, opt to field first against Quetta Gladiators
-
Tech1 week agoThe Deepfake Nudes Crisis in Schools Is Much Worse Than You Thought
-
Business1 week agoStandard Life buys rival in £2b deal to create savings giant
-
Tech1 week agoCYBERUK ’26: UK lagging on legal protections for cyber pros | Computer Weekly
-
Fashion1 week agoRaymond unveils luxury Chairman’s Collection Store in Mumbai
-
Business1 week agoPepsiCo earnings beat estimates as North American food business improves
