This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by LSEG . You have a credit freeze; it still isn't enough Turning 65? Month-by-month plan to protect yourself China's AI growth is about'economic and political leverage,' Rep Hinson says Expert warns'red-green-green alliance' helping China gain AI edge AI's impact on jobs, economy debated as youth express growing fears Jury dismisses Elon Musk's lawsuit against OpenAI and Sam Altman China does not'innovate,' they'replicate': Former DHS spokeswoman Trump to press Xi to'open up' China as tech CEOs join key summit Smart and Safe Tech Are bank text codes enough to protect you?

Yarbo robot mowers reportedly contain serious security flaws that could expose owners to remote access, live camera viewing and Wi-Fi credential theft, a new report says.

World Password Day is the perfect time to update old or reused passwords. Credential stuffing attacks make even one weak password a risk to multiple accounts.

To determine the safety of large language models (LLMs), AI developers must be able to assess their dangerous capabilities. But simple prompting strategies often fail to elicit an LLM's full capabilities. One way to elicit capabilities more robustly is to fine-tune the LLM to complete the task. In this paper, we investigate the conditions under which fine-tuning-based elicitation suffices to elicit capabilities. To do this, we introduce password-locked models, LLMs fine-tuned such that some of their capabilities are deliberately hidden.

This material may not be published, broadcast, rewritten, or redistributed. Quotes displayed in real-time or delayed by at least 15 minutes. Market data provided by Factset . Powered and implemented by FactSet Digital Solutions . Mutual Fund and ETF data provided by LSEG .

The ShinyHunters hacking group claims to have accessed Bumble and Match systems, highlighting how phishing attacks can threaten major online platforms.

Under Armour data breach investigation reveals 72 million customer email addresses were exposed after researchers found personal information on hacker forums.

Thousands of iOS apps available in the Apple App Store contain hardcoded secrets exposing payment systems, login credentials and personal data, research finds.

A viral new virtual assistant formerly known as Clawdbot is complex and brings security risks--but some early adopters say it feels like the future. Dan Peguine, a tech entrepreneur and marketing consultant based in Lisbon, lets a precocious, lobster-themed AI assistant called Moltbot run much of his life. Peguine, a self-professed early adopter and trendspotter, discovered Moltbot several weeks ago--back then it was Clawdbot--after discussing a vibe-coding side project with friends on WhatsApp. He installed it on his computer, connected it to numerous apps and online accounts, including Google Apps, and was astonished by how capable it was. "I tried it, got interested, then got really obsessed," Peguine says.