Danger Of AI: US Soldier Used ChatGPT To Plan Tesla Cybertruck Attack In Las Vegas, Police Say
While up until now generative artificial intelligence has been blamed for "killing" some jobs that were earlier done by humans, the recent Tesla Cybertruck attack outside Trump hotel in Las Vegas hints at the physical harm the misuse of AI technology can inadvertently cause to humans as well.
According to Las Vegas police, Matthew Livelsberger— the decorated US soldier from Colorado Springs who detonated the Tesla Cybertruck outside the hotel — utilised ChatGPT and other generative AI tools to help plan the blast.
Livelsberger sought information about explosive targets, the velocity of specific rounds of ammunition, and whether or not fireworks were permitted in Arizona, as per an analysis of his ChatGPT searches.
"This is the first incident that I'm aware of on US soil where ChatGPT is utilised to help an individual build a particular device. It's a concerning moment," said Kevin McMahill, sheriff of the Las Vegas Metropolitan Police Department, as quoted in a report by the Associated Press.
The 37-year-old shot himself to death shortly before the truck exploded. Seven persons suffered minor injuries as a result of the explosion, while the Trump International Hotel suffered almost no damage. Livelsberger, according to the authorities, acted alone.
However, given the disclosure that Livelsberger used information provided by ChatGPT to plan the attack, the incident raises a red flag about the potential misuse of the readily available generative AI technology in future attacks too. The Las Vegas attack also adds to the concerns of experts and critics who have already cautioned that AI could be used for malicious ends.
OpenAI, the maker of ChatGPT, responded to the issue in an email statement, according to AP. It said the company was "committed to seeing AI tools used responsibly" and its "models are designed to refuse harmful instructions".
"In this case, ChatGPT responded with information already publicly available on the internet and provided warnings against harmful or illegal activities," OpenAI said in a statement cited by Axios.
-
Talking Points This Week: Tech Nerves, FII Buying, And A Faraway Banking Shock
The global markets are not shining this Diwali. The exception in the large markets is, India.
-
Midterm Rally Lasted A Day. The Hard Reality Of A Divided US May Last Two Years | Opinion
Between a contested AI boom, a debt ceiling that arrives in 2027 and a president with every incentive to act alone, the next two years may prove more volatile than the first day's rally suggests.
-
Blue Wave Will Derail the AI Trade but Won't Dismantle the AI Era | Unhedged Position
The Democrats' sweep of the US Congress will see politics collide with economic forces both over the long and short term.
-
It's Time To Take The GST Council's Bet On Trust Global
Payment records can prove India's services exports, and clear, proportionate rules can bring foreign digital sellers into the tax net.
-
Opinion | India at 38: From Innovation Overperformer to Innovation Powerhouse
India now has 453 VC-backed deep science startups, 18 of them late-stage, after 117 percent growth since 2020. Laurus Labs, at USD 9.3 billion, is the most valuable deep science company in any middle-income economy outside China.
-
Navigating Energy Crossroads: S Jaishankar's Call For Diversified Supply Chains At G20 Ministerial Meeting
As geopolitical fault lines continue to test maritime trade routes and commodity flows, Jaishankar's message remains pertinent: true economic resilience requires open markets, protected transit lines, and a genuine commitment to multilateral cooperation rather than coercion.
-
Indians Are Travelling, But Not Every Journey Is A Holiday | The Week In Whys
Pilgrims, patients and working women are the real travellers, and the system hasn't quite caught up with them.
-
Getting To Work Costs Women More | The Reason Why
It is not just about women paying more than men. It is about women paying much more in cities than in villages.
-
AI Bias In Investing Cannot Be Eliminated, But It Can Be Governed
Framing is a particularly important example as identical financial information presented in terms of gains rather than losses can lead an LLM to reach a different assessment.