Large language model articles

malware research large language model
Security AI

Researchers found malware that uses four different AI chatbots to run itself, no human hacker needed

The malware shows how LLMs are moving from an attacker productivity tool into attack infrastructure
Crystal ball: Researchers at Cisco Talos have found a Windows malware tool that uses several large language models to help decide what to do on a compromised machine. Its discovery points to a still-limited but growing group of AI-enabled malware that is moving beyond code generation and phishing support.
Full story By Skye Jacobs,
nvidia vera rubin superchip cpu petaflops gpu chip jensen huang with video
AI Tech Culture

Nvidia's Jensen Huang joins X, defends Chinese AI: "Open-source models that are excellent should be used"

Big quote: Jensen Huang just spent a week watching his company's valuation get hit by the threat of a Chinese open-weight model. His response was to go on the record defending it. Speaking to Axios in Fort Worth, Texas, at the opening of a new phase of the Wistron plant that builds Nvidia's AI infrastructure, the Nvidia CEO said American companies should "absolutely" be free to run Chinese models. "These Chinese models are excellent," he said. "Open-source models that are excellent should be used." Asked whether China could displace American labs, he was blunt: "Zero possibility."
Full story By Julio Franco, 11 comments
pdf adobe startups documents large language model
Software AI

The humble PDF is becoming a problem for AI

PDFs are structurally hostile to large language models
Looking ahead: Three decades after Adobe introduced the Portable Document Format – a design intended to preserve the appearance of printed pages across devices – PDFs are facing pressure from a completely different kind of reader: artificial intelligence. The same fixed layouts that made PDFs indispensable to human users now make them difficult for large language models to interpret. Unlike web pages or plain-text files, columns, embedded graphics, and hidden metadata in PDFs often confuse machine parsing systems trained to process linear text.
Full story By Skye Jacobs, 49 comments
  1. 1
  2. 2
  3. 3
  4. 4
  5. 5