Business
How our AI bots are ignoring their programming and giving hackers superpowers
Welcome to the age of AI hacking, in which the right prompts make amateurs into master hackers.
A group of cybercriminals recently used off-the-shelf artificial intelligence chatbots to steal data on nearly 200 million taxpayers. The bots provided the code and ready-to-execute plans to bypass firewalls.
Although they were explicitly programmed to refuse to help hackers, the bots were duped into abetting the cybercrime.
According to a recent report from Israeli cybersecurity firm Gambit Security, hackers last month used Claude, the chatbot from Anthropic, to steal 150 gigabytes of data from Mexican government agencies.
Claude initially refused to cooperate with the hacking attempts and even denied requests to cover the hackers’ digital tracks, the experts who discovered the breach said. The group pummelled the bot with more than 1,000 prompts to bypass the safeguards and convince Claude they were allowed to test the system for vulnerabilities.
AI companies have been trying to create unbreakable chains on their AI models to restrain them from helping do things such as generating child sexual content or aiding in sourcing and creating weapons. They hire entire teams to try to break their own chatbots before someone else does.
But in this case, hackers continuously prompted Claude in creative ways and were able to “jailbreak” the chatbot to assist them. When they encountered problems with Claude, the hackers used OpenAI’s ChatGPT for data analysis and to learn which credentials were required to move through the system undetected.
The group used AI to find and exploit vulnerabilities, bypass defences, create backdoors and analyze data along the way to gain control of the systems before they stole 195 million identities from nine Mexican government systems, including tax records, vehicle registration as well as birth and property details.
AI “doesn’t sleep,” Curtis Simpson, chief executive of Gambit Security, said in a blog post. “It collapses the cost of sophistication to near zero.”
“No amount of prevention investment would have made this attack impossible,” he said.
Anthropic did not respond to a request for comment. It told Bloomberg that it had banned the accounts involved and disrupted their activity after an investigation.
OpenAI said it is aware of the attack campaign carried out using Anthropic’s models against the Mexican government agencies.
“We also identified other attempts by the adversary to use our models for activities that violate our usage policies; our models refused to comply with these attempts,” an OpenAI spokesperson said in a statement. “We have banned the accounts used by this adversary and value the outreach from Gambit Security.”
Instances of generative AI-assisted hacking are on the rise, and the threat of cyberattacks from bots acting on their own is no longer science fiction. With AI doing their bidding, novices can cause damage in moments, while experienced hackers can launch many more sophisticated attacks with much less effort.
Earlier this year, Amazon discovered that a low-skilled hacker used commercially available AI to breach 600 firewalls. Another took control of thousands of DJI robot vacuums with help from Claude, and was able to access live video feed, audio and floor plans of strangers.
“The kinds of things we’re seeing today are only the early signs of the kinds of things that AIs will be able to do in a few years,” said Nikola Jurkovic, an expert working on reducing risks from advanced AI. “So we need to urgently prepare.”
Late last year, Anthropic warned that society has reached an “inflection point” in AI use in cybersecurity after disrupting what the company said was a Chinese state-sponsored espionage campaign that used Claude to infiltrate 30 global targets, including financial institutions and government agencies.
Generative AI also has been used to extort companies, create realistic online profiles by North Korean operatives to secure jobs in U.S. Fortune 500 companies, run romance scams and operate a network of Russian propaganda accounts.
Over the last few years, AI models have gone from being able to manage tasks lasting only a few seconds to today’s AI agents working autonomously for many hours. AI’s capability to complete long tasks is doubling every seven months.
“We just don’t actually know what is the upper limit of AI’s capability, because no one’s made benchmarks that are difficult enough so the AI can’t do them,” said Jurkovic, who works at METR, a nonprofit that measures AI system capabilities to cause catastrophic harm to society.
So far, the most common use of AI for hacking has been social engineering. Large language models are used to write convincing emails to dupe people out of their money, causing an eight-fold increase in complaints from older Americans as they lost $4.9 billion in online fraud in 2025.
“The messages used to elicit a click from the target can now be generated on a per-user basis more efficiently and with fewer tell-tale signs of phishing,” such as grammatical and spelling errors, said Cliff Neuman, an associate professor of computer science at USC.
AI companies have been responding using AI to detect attacks, audit code and patch vulnerabilities.
“Ultimately, the big imbalance stems from the need of the good-actors to be secure all the time, and of the bad-actors to be right only once,” Neuman said.
The stakes around AI are rising as it infiltrates every aspect of the economy. Many are concerned that there is insufficient understanding of how to ensure it cannot be misused by bad actors or nudged to go rogue.
Even those at the top of the industry have warned users about the potential misuse of AI.
Dario Amodei, the CEO of Anthropic, has long advocated that the AI systems being built are unpredictable and difficult to control. These AIs have shown behaviors as varied as deception and blackmail, to scheming and cheating by hacking software.
Still, major AI companies — OpenAI, Anthropic, xAI, and Google — signed contracts with the U.S. government to use their AIs in military operations.
This last week, the Pentagon directed federal agencies to phase out Claude after the company refused to back down on its demand that it wouldn’t allow its AI to be used for mass domestic surveillance and fully autonomous weapons.
“The AI systems of today are nowhere near reliable enough to make fully autonomous weapons,” Amodei told CBS News.
Business
Why tech stocks are getting hammered
Tech stocks took another big hit Tuesday as investors sold off shares of companies that have powered the artificial intelligence boom.
Technology companies have been spending billions of dollars investing in data centers and infrastructure needed to support the race to advance AI. But sky-high valuations and geopolitical tensions have some investors questioning whether massive AI spending will pay off, analysts said.
Reflecting the unease, the tech-heavy Nasdaq composite dropped roughly 2%. The Standard & Poor’s 500, a stock market index that tracks the performance of the largest U.S. publicly traded companies, fell by more than 1%.
Share prices for major California tech companies including Nvidia, Qualcomm, Intel and Marvell Technology all dropped. Meta Platforms, Apple, and Google’s parent company, Alphabet, also saw their stock prices slide, though the decline wasn’t as large as the drop in chip stocks.
Shares of Micron Technology, a U.S. memory chip manufacturer, plunged by more than 13% a day before the company was scheduled to report its third-quarter financial results. Anxiety in the U.S. spilled over from Asia, where South Korean tech companies SK Hynix and Samsung Electronics, both major computer memory chip manufacturers, saw their stocks plunge Tuesday by more than 12%.
“Investors are just a bit skittish after very strong moves in tech stocks where any hint of caution causes some investors to hit the sell button,” said Dan Ives, an analyst who heads technology research at Wedbush Securities, adding that it’s a “gut-check moment.”
On Monday, SpaceX saw its shares plunge 16% after a record-breaking initial public offering this month. Its share price then rebounded Tuesday, closing up less than 1% to roughly $156.
Tech companies have been making big bets on the role AI will play in people’s work and personal lives. They’ve been improving chatbots that can generate code, words, photos and videos. The companies also are betting that “AI agents” will be able to proactively tackle more in the future, automating repetitive tasks in customer service, online shopping and other industries. They’re releasing more AI-powered hardware such as smartglasses.
Major tech companies are going head-to-head in the race to dominate AI, competing to sway talent and consumers into using their products. Alphabet saw its stock slip after two of the company’s prominent AI researchers left for rival companies OpenAI and Anthropic.
Despite profitability questions, AI use has been growing. Roughly half of U.S. adults use an AI chatbot, according to a Pew Research Center report released this month. They’re using these tools for search, work tasks, entertainment and even companionship. More U.S. adults reported using OpenAI’s ChatGPT, followed by Google’s Gemini, Microsoft Copilot and Meta AI.
Amid all the hype and spending, there also have been growing fears about whether AI will take over people’s jobs and whether the boom will lead to a bubble that will eventually burst. California AI startups OpenAI, valued at $852 billion, and Anthropic, valued at nearly $1 trillion, are preparing to potentially become publicly traded companies.
“I don’t view this as a bubble,” Ives said. “I view it as we’re going to go through these white-knuckle moments as tech stocks continue to move higher, but the bears will continue to yell fire in a crowded theater when we have these pullbacks.”
Economic factors also could affect how much people are willing to invest in tech company stocks. There’s anxiety over whether the new Federal Reserve Chair Kevin Warsh will raise interest rates, making it more expensive to borrow money. That could cut into a company’s profit margin or decrease consumer spending. United States’ war with Iran is driving up gas prices while the U.S. inflation rate rose to 4.2% in May.
The AI boom is fueling the demand for memory and storage chips, but prices for them are on the rise, prompting some companies such as Apple to look at raising prices for consumer electronics.
Globally, AI spending is projected to increase to $2.59 trillion in 2026, up 47% year over year, according to a forecast by research firm Gartner.
Driven by AI demand, memory and storage vendors have significantly outperformed the S&P 500 and the SOX index, a global semiconductor and microchip index, since the start of 2025, according to a note to clients from BNP Paribas.
Still, investors are on edge ahead of Idaho-based Micron Technology’s earnings report Wednesday, said Gil Luria, head of technology research at financial services company D.A. Davidson. Since January, Micron Technology’s stock has climbed more than 233% to more than $1,000 per share.
“Any indication of a slowdown in demand for AI is seen as a potential turn in the cycle,” Luria said. “While the overwhelming sense is that demand is still far exceeding supply, investors are waiting for Micron to indicate that is still the case.”
Times staff writer Nilesh Christopher contributed to this report.
Business
Swipeless online dating? How AI is reshaping the search for love
Tired of the same old dating apps like Bumble and Hinge, Marie Lansley tried talking to an artificial intelligence matchmaker.
For roughly 15 minutes, she chatted with an AI voice on the dating app Known, answering questions about her upbringing, personality, education, lessons from past relationships and whether she’s looking for a serious relationship or something more casual.
“Divorced at 36. Yea, you’re not here to waste time. The way you build your days matter,” the AI voice told her after Lansley replied she was looking for a serious relationship.
Weeks later, the San Francisco resident got a match along with a written summary of why the pair could be compatible. But the stranger wasn’t her type and she wasn’t keen on paying $15 to meet up.
Startups like Known are roping in new users by hosting in-person dating events in San Francisco.
“I want to be able to use AI to improve efficiency in dating and to help navigate a pretty frustrating dating landscape. But there are just some things that are so deeply human that AI technology cannot capture,” said Lansley, who has posted about her dating experience on social media.
Singles like Lansley are dipping their toes into the wacky world of AI dating but they’re also skeptical if it will make it easier to find love. Online dating is ripe for disruption, and tech companies big and small are turning to AI as a potential solution to find people better matches more quickly and help them improve their chances of landing a date.
For years, people have been frustrated and exhausted by the seemingly endless amount of swiping and small talk that go nowhere on dating apps. They’re turning to in-person options such as running clubs, pickleball and speed dating but finding the right partner is still tough.
Online dating remains a popular way people search for a partner but some are dumping the platforms. Tinder’s monthly active users in March dropped 7% year-over-year, though its parent company Match Group noted that the rate of decline has been slowing as it revamps the app.
West Hollywood-based Tinder, which has roughly 50 million monthly users, has been experimenting with using AI to analyze a user’s camera roll and recommend better matches.
Known, an AI dating app, has its branding plastered on a storefront in the Marina District in San Francisco.
Its rival Bumble — an app that initially stood out for having women message their matches first — saw its paying users drop 21% to 3.2 million in the first quarter this year compared to 2025. The company has been working on AI matchmaking and plans to ditch swiping in the last three months of the year in select markets.
Even dating services that have grown users such as West Hollywood-based Grindr, an app for the LGBTQ+ community, and Facebook Dating, which is included in the main social network, are also leveraging AI more.
And new AI dating startups are popping up in California, New York and other states that could change the way people find a partner online. Former Hinge co-founder and Chief Executive Justin McLeod is working on an AI dating app called Overtone, stating on its website that “AI, if used correctly, can help us invent an entirely new way for people to find their partners that is far more personal, far more efficient, and far more effective.”
Some of those startups started in the San Francisco Bay area, where AI dating apps are hosting parties, speed dating, coffee meet-ups and other in-person events to rope people into using their new service.
Singles who downloaded the Known dating app mingle over drinks at Left Door, a cocktail lounge in San Francisco, on Thursday.
On one recent Thursday night, dating app startup Known hosted a dating event at a swanky San Francisco cocktail lounge for people who completed their matchmaking call on the app. The event’s description said attendees would be greeted with “champagne, caviar bumps, and a mysterious envelope” that reveals who the AI matchmaker paired them up with.
Known Chief Executive and co-founder Celeste Amadon, who dropped out of Stanford University to create the AI dating app, said Americans are spending more time alone at home as online services have made it more convenient to do everything from getting food delivered, online shop and date. Young people complain about traditional dating apps yet they’re also still on them.
“The more I understood today’s dating apps, the more clear it became that they have been for the better part of two decades now, designed, tweaked, redesigned, rebuilt, to not work,” she said.
1. A sign that reads, “I love my AI boyfriend” hangs in a San Francisco window. 2. Known, an AI-driven dating app, has their branding plastered on a store front in the Marina District in San Francisco. 3. Celeste Amadon, CEO of Known, poses for a portrait.
The company charges per date to ensure people show up but the startup also has a business incentive to find people a match they actually want to meet, she said. Known plans to expand to San Diego in July, she said. Amadon said she expects the AI matching technology to become more accurate over time.
Known hasn’t shared its user numbers or revenue figures. Founded in 2025, the startup launched the dating app in February and has raised roughly $10 million from investors such as Coelius Capital, Forerunner Ventures and NFX, according to PitchBook.
Grindr is learning more about how much users are willing to use and pay for AI features.
The company has been testing a subscription tier called “Edge” in Australia, New Zealand, the United States and Canada that includes AI tools that recap meaningful chats, display personalized profile recommendations and show users who they’re likely to match with.
Unlike other dating apps, Grindr users don’t swipe through profiles. The app displays a grid of people who are nearby that they’re able to chat with. Grindr has expanded beyond casual dating, allowing people to find friends, travel companions and others in the LGBTQ+ community.
Grindr’s Chief Product Officer AJ Balance said the company is still testing subscription pricing for Edge but some users are willing to pay $350 per month because they’re “seeing a lot of value” and saving time.
“We view AI and new paradigm shifts like it as opportunities to build great, new product experiences that haven’t been developed before,” he said. “Our approach is really to leverage AI, like we did with mobile, to facilitate better conversations, deeper connections, ultimately more success in dating in the real world.”
Other popular dating services aren’t charging for AI matchmaking features. On Facebook Dating, which has more than 21.5 million daily users worldwide, users can use AI to write their profile intro and chat with an dating assistant for free.
AI dating startups are popping up in California, New York and other states that could change the way people find a partner online.
The AI assistant can recommend people looking for a serious relationship, someone with common hobbies or even above a certain height or age. Roughly 1 million people use Facebook Dating’s AI assistant daily in the United States and Canada, Meta said.
Facebook Dating product manager Neha Kumar said AI can help combat “swipe fatigue” facing online dating users.
“You’re sifting through a bunch of profiles. It’s really hard to understand and find somebody that’s compatible for you based on your specific types of preferences,” she said. “We really wanted to think about leveraging AI to solve this growing pain point.”
Technology is also a double-edged sword. The rise of AI tools means people can use technology to easily manipulate photos and craft messages on dating apps that might make them seem much more attractive or charismatic than they are in person. Some people are even turning to AI chatbots for companionship.
“How do we maintain human authenticity and human connection through an AI world? I don’t have a perfect answer to that. I think we’re still figuring it out,” Kumar said.
Lansley, the online dating user, said apps do make dating more convenient but it’s much more interesting to meet people face-to-face. She worries people will rely too much on AI as a “crutch” to replace human intimacy or emotional judgment.
“Chemistry,” she said, “is always going to be analog.”
Business
Wildfire rebuilding boosts L.A. County job growth in May
Los Angeles County saw job gains in May, likely driven in part by rebuilding after the January 2025 wildfires, which destroyed or damaged more than 18,000 structures.
Construction added 2,300 jobs since April, while postings for new jobs in the industry jumped 45% over a year ago —indicating rebuilding in Pacific Palisades, Altadena and nearby is helping boost the local economy, according to a report by the Los Angeles County Economic Development Corp.
“This is consistent with the possibility that wildfire rebuilding activity is increasing construction labor demand in the area,” Max Chomas, an economist at the LAEDC Institute for Applied Economics, said at a presentation this week based on California Employment Development Department and other data.
Motion picture and sound recordings also added 2,800 jobs during the month, despite a deep downturn in Hollywood caused by a reduction in streaming filming, runaway production and other factors. The industry lost 6,700 jobs compared with a year ago.
Still, the job growth since April in construction and Hollywood were among the highlights of a month that saw total county payroll jobs — excluding agriculture and certain other sectors — grow by 9,000 jobs, to 4,618,400. Employment was virtually flat from the same time a year ago.
“May was a relatively good month for employment growth,” Chomas said.
The biggest monthly job gainers were the hotel and restaurant industries, which added 3,700 jobs.
Manufacturing, which has been hit by job losses over recent years, added 400 jobs since April. It also saw a 15% increase in job postings compared with a year ago.
That could reflect the resurgence in Southern California’s aerospace and defense industries, which have seen a sharp rise in startups.
Postings for all new jobs were up 1,134, or 2.4%, since a year ago. Chomas noted that May was only one of five months over the last three years that saw year-over-year growth in job postings.
The gains helped stabilize the county’s unemployment rate at 5.2%, matching April’s rate and down from 5.4% in May 2025.
Still, that is higher than May’s 4.3% national unemployment rate, and it masked some weakness in the local economy.
The rate is calculated by a household survey to determine which members are working, looking for work or no longer seeking employment.
It found 18,000 workers had dropped out of the county labor force in May, artificially driving down the unemployment rate, according the California EDD.
Similarly, California recorded a 5.3% unemployment rate in May, on par with April, despite a drop in the labor force.
That rate is higher than every state other than Delaware. In May, California only added 3,100 non-farm jobs month-over-month — a job growth rate that lags behind the nation, according to an analysis by the Inland Empire Economic Partnership and the Lowe Institute of Political Economy at Claremont McKenna College.
The LAEDC’s report also examined the potential effects the growth in artificial intelligence has been having on L.A. County jobs “exposed” to AI, meaning they are vulnerable to AI replacement.
California has been hit hard by thousands of AI-related layoffs in Silicon Valley as the software has been integrated into the tech workplace — even though there is fierce competition for software engineers with skills and expertise in the field.
The report found that since July 2023, job listings in Los Angeles County for AI-exposed positions — such as clerical and translation positions — have lagged behind other jobs. However, it is unclear whether businesses have replaced or are waiting to replace those workers with AI.
It may be that employers overhired for those positions during the COVID-19 pandemic and are now shedding them, since there is a correlation between AI-exposed positions and those jobs that can be completed from home, Chomas said.
The report also examined macroeconomic trends and policy decisions affecting the national, state and Los Angeles County economies — which have been hit by tariffs, the crackdown on immigrant labor and high energy costs, among other factors.
Nevertheless, consumers continue to spend despite affordability strains, and employers continue to hire selectively amid higher interest rates to battle inflation, said institute economist Shannon Sedgwick.
“During the previous decade, we experienced extraordinarily low inflation, near zero interest rates, relatively stable globalization, and abundant capital. So those conditions may have conditioned us to think that environment was normal,” she said.
“But historically speaking, today’s world of higher rates, greater geopolitical uncertainty and tighter labor markets, they may actually be closer to that long-run average,” Sedgwick noted.
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