AI-generated video of glass bridge breaking misleads online
The clip appears to show people crossing a glass platform against a cliff face, which breaks and falls into the ravine below.
The clip, which also spread on Instagram, YouTube, Tiktok and Facebook, garnered more than two million views.
Comments from some users indicate they believed the footage was real.
"The load was too much," one user commented.
"Terrifying, isn't it?" wrote another.
China is believed to have more than 2,000 glass bridges and platforms at various tourist sites across the country (archived link).
However, the last reported safety incident at a glass bridge in China was in May 2021 -- a man was left dangling at a tourist spot in northeastern Jilin province when the glass panels were damaged by high winds, according to a report by state news media Xinhua (archived link).
A close inspection of the clip also shows inconsistencies typical of AI-generated videos.
These include people appearing to melt into the cliff before reappearing in different coloured clothes, while two of the people appear to combine into one person after the bridge collapses. One section of the glass guardrail also disappears immediately after the bridge breaks.
Despite the rapid progress of generative AI, errors still appear in AI-generated content. These flaws are often the clearest signs of a fabricated image.
Jacobo Castellanos, coordinator for human rights organisation WITNESS, which developed a Deepfakes Rapid Response Force said "it's clear that the video in question is AI-generated" (archived link).
"Several signs point to its synthetic nature, including people morphing or disappearing, as well as various unnatural movements and transitions that are characteristic of the current capacity of generative video tools," he said.
AFP has fact-checked AI-generated images before here.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Yahoo
11 minutes ago
- Yahoo
I Asked ChatGPT What ‘Generational Wealth' Really Means — and How To Start Building It
The term 'generational wealth' gets thrown around a lot these days, but what does it actually mean? And more importantly, how can regular Americans start building it? Read Next: Learn More: GOBankingRates asked ChatGPT for a comprehensive breakdown, and its response was both enlightening and surprisingly actionable. Also see five strategies high-net-worth families use to build generational wealth. Defining Generational Wealth: ChatGPT's Take When ChatGPT was asked to define generational wealth, it explained it as 'assets and financial resources that are passed down from one generation to the next, providing ongoing financial stability and opportunities for future family members.' But it went deeper, explaining that true generational wealth isn't just about leaving money behind; it's about creating a financial foundation that can grow and sustain multiple generations. The AI emphasized that generational wealth is more than just inheritance money. It's about creating a system where each generation can build upon the previous one's success, creating a compounding effect that grows over time. This includes not just financial assets, but also financial knowledge, business relationships and strategic thinking skills. Check Out: ChatGPT's Blueprint for Building Generational Wealth When asked for a practical roadmap, ChatGPT provided a comprehensive strategy broken down into actionable steps. Start With Financial Education ChatGPT emphasized that generational wealth begins with financial literacy — not just for yourself, but for your entire family. Here is what it recommended: Teach children about money management from an early age. Create family financial discussions and goal-setting sessions. Ensure all family members understand investment principles. Build a culture of financial responsibility. It stressed that many wealthy families fail to maintain their wealth across generations because they don't adequately prepare their children with the knowledge and mindset needed to manage money effectively. Build a Diversified Investment Portfolio ChatGPT recommended a multi-asset approach to wealth building: Real estate investments for appreciation and passive income Stock market investments through index funds and individual stocks Business ownership or equity stakes Alternative investments like real estate investment trusts or commodities. It explained that diversification is crucial because different asset classes perform differently in various economic conditions. This approach helps protect wealth from market volatility while providing multiple income streams. Establish Legal Protection Structures The AI strongly emphasized the importance of estate planning tools as well. Here are a few it highlighted: Wills and trusts to control asset distribution Life insurance policies to provide immediate liquidity Business succession planning for family enterprises Tax optimization strategies to minimize transfer costs. ChatGPT explained that without proper legal structures, wealth can be decimated by taxes, legal disputes or poor decision-making by inexperienced heirs. It stressed that these structures must be created while you're alive and able to make strategic decisions. Consider Dynasty Trusts For families with substantial assets, ChatGPT recommended exploring dynasty trusts. It explained these as vehicles that can preserve wealth across multiple generations while providing tax benefits. These trusts can potentially last forever in certain states, creating a truly perpetual wealth-building vehicle. Overcoming Common Obstacles ChatGPT identified several barriers to building generational wealth as well. First, it acknowledged that starting from different financial positions affects strategy. Those with limited resources need to focus first on building basic wealth before thinking about generational strategies. ChatGPT also warned against increasing spending as income grows. The AI suggested automating savings and investments to prevent lifestyle inflation from derailing wealth-building efforts. It also highlighted the complexity of tax planning for generational wealth, noting that improper planning can result in significant tax penalties that erode wealth transfer. This makes professional guidance particularly important for families with substantial assets, and the cost of professional advice is typically far outweighed by the value created through proper planning. Starting Small: ChatGPT's Practical First Steps For those just beginning, ChatGPT provided a few accessible starting points. Build an emergency fund (three to six months' worth of expenses). Maximize employer 401(k) matching. Start a Roth IRA for tax-free growth. Purchase adequate life insurance. Create a basic will. Begin investing in index funds. Consider real estate when financially ready. It emphasized that these steps can be started by anyone, regardless of income level, and that the key is consistency over time. The Importance of Values and Purpose One of ChatGPT's most interesting insights was about the importance of instilling values and purpose alongside wealth. The AI explained that families with strong values and a clear sense of purpose are more likely to maintain their wealth across generations. This can include teaching children about responsibility and work ethic and involving family members in charitable activities It also noted that generational wealth isn't primarily about the amount you leave behind. It's about creating a financial foundation and knowledge system that empowers future generations to build upon your efforts. The process of building generational wealth requires patience, discipline and strategic thinking, but the AI emphasized that with the right approach, any family can begin building wealth that will benefit generations to come. The key is to start now, stay consistent and always keep the long-term vision in mind. More From GOBankingRates 3 Luxury SUVs That Will Have Massive Price Drops in Summer 2025 The 10 Most Reliable SUVs of 2025 The 5 Car Brands Named the Least Reliable of 2025 This article originally appeared on I Asked ChatGPT What 'Generational Wealth' Really Means — and How To Start Building It


Forbes
13 minutes ago
- Forbes
Put People First: A Human-Centered Approach To AI In Transportation
Gaurav Sharda, CTO at Beacon Mobility, is passionate about using AI to improve safety, efficiency and the user experience. Artificial intelligence (AI) is rapidly reshaping the transportation industry, offering the promise of greater safety, efficiency and cost savings. But for leaders in school transportation and similar sectors, the real challenge isn't just adopting AI—it's adopting it in a way that supports and empowers people. In my experience working with transportation teams, I've seen that when AI is implemented without empathy, it often fails to deliver its full potential. Worse, it can erode trust and morale. Technology should be a bridge, not a barrier. When thoughtfully deployed, AI can help organizations retain talent, improve safety outcomes and create a more resilient workforce. Here are four practical strategies transportation leaders can use to ensure AI becomes a tool for empowerment—not enforcement. 1. Position AI As A Coaching Tool, Not A Surveillance System Smart dash cameras are now common in fleet vehicles. These systems detect behaviors like hard braking or distracted driving and provide real-time alerts. While the technology is powerful, how it's introduced makes all the difference. Actionable Tip: Frame these tools as part of a coaching culture. Use them to provide constructive feedback and recognize improvement. When drivers feel supported rather than monitored, they're more likely to engage with the technology—and safety outcomes improve organically. For example, one district we serve saw a 30% drop in risky driving behaviors after shifting from punitive monitoring to a coaching-based approach. The key was transparency and consistent, supportive feedback. 2. Use AI To Reduce Stress And Improve Retention Driver turnover remains a major challenge in the transportation industry. While AI is often marketed for its efficiency benefits, its real value may lie in improving the day-to-day experience of frontline staff. Actionable Tip: Invest in AI tools that simplify communication, provide real-time route updates and proactively alert drivers to delays or hazards. When drivers feel that the system is working with them—not against them—they're more likely to stay. Some operations have seen significant reductions in turnover by focusing on driver experience. Retention isn't just about pay—it's about respect, support and predictability. AI can help deliver all three when implemented with the employee experience in mind. 3. Automate Administrative Tasks To Free Up Human Capacity AI isn't just for what happens on the road. It can also streamline back-office operations, which are often bogged down by repetitive tasks. Actionable Tip: Use AI to automate routine processes like incident logging, call center reporting or answering common employee questions. This allows staff to focus on more strategic, human-centered work. A good rule of thumb: If a task doesn't require empathy or judgment, it's a candidate for automation. This shift not only improves operational efficiency but also boosts morale. When people spend less time on tedious tasks, they have more energy for problem-solving and innovation. 4. Design AI Systems With The End User In Mind Too often, technology is rolled out to meet administrative needs without considering the people who use it daily. This can lead to low adoption and frustration. Actionable Tip: Involve drivers, dispatchers and other frontline staff in the design and testing of new tools. Prioritize ease of use and gather feedback early. If a tool isn't intuitive for a driver starting their shift at 6:00 a.m., it's not the right solution. User-centered design isn't just a tech principle—it's a leadership mindset. When employees feel heard and included, they become champions of the change, not resisters. Conclusion: Lead With Empathy, Build With Purpose AI has the potential to transform transportation—but only if it's implemented thoughtfully. Leaders should view AI not as a replacement for people but as a tool to support them. By starting with empathy and focusing on the human experience, transportation leaders can build systems where both people and technology thrive. The future of transportation isn't about choosing between people or technology. It's about designing systems where both work in harmony—starting with empathy and ending with impact. Forbes Technology Council is an invitation-only community for world-class CIOs, CTOs and technology executives. Do I qualify?


The Verge
13 minutes ago
- The Verge
Errors found in US judge's withdrawn decision stink of AI
A US district court judge has withdrawn his decision in a biopharma securities case after lawyers noted that his opinion referenced fake quotes and other erroneous case information — mistakes mirroring errors in other legal cases that have been attributed to artificial intelligence tools. In a letter sent to New Jersey Judge Julien Xavier Neals, lawyer Andrew Lichtman said that there was a 'series of errors' in Neals' decision to deny a lawsuit dismissal request from pharmaceutical company CorMedix. These citation errors include misstating the outcomes in three other cases, and 'numerous instances' of made-up quotes being falsely attributed to other decisions. As reported by Bloomberg Law, a new notice published to the court docket on Wednesday says 'that opinion and order were entered in error,' and that a 'subsequent opinion and order will follow.' While it's not unusual for courts to make small revisions to decisions following a ruling — such as correcting grammatical, spelling, and style errors — major modifications like removing paragraphs or redacting decisions are rare. There is no confirmation that AI was used in this case. Nevertheless, the citation errors carry the same telltale signs of AI hallucinations that have appeared in other legal filings as lawyers increasingly turn to tools like ChatGPT for help with legal research. Attorneys defending MyPillow founder Mike Lindell were fined earlier this month for using AI-generated citations, and Anthropic blamed its own Claude AI chatbot for making an 'embarrassing' erroneous citation in its own legal battle with music publishers — just two of many examples showing that LLMs won't be replacing real lawyers anytime soon. Posts from this author will be added to your daily email digest and your homepage feed. See All by Jess Weatherbed Posts from this topic will be added to your daily email digest and your homepage feed. See All AI Posts from this topic will be added to your daily email digest and your homepage feed. See All Law Posts from this topic will be added to your daily email digest and your homepage feed. See All News Posts from this topic will be added to your daily email digest and your homepage feed. See All Policy