2025-10-09
Artificial intelligence companies have been working at breakneck speeds to develop the best and most powerful tools, but that rapid development hasn't always been coupled with clear understandings of AI's limitations or weaknesses. Today, Anthropic released a report on how attackers can influence the development of a large language model.
2025-02-28
The keyword for the iPhone 16e seems to be "compromise." In this episode, Devindra chats with Cherlynn about her iPhone 16e review and try to figure out who this phone is actually for. Also, [...]
2025-10-08
The same connectivity that made Anthropic's Model Context Protocol (MCP) the fastest-adopted AI integration standard in 2025 has created enterprise cybersecurity's most dangerous blind spot. [...]
2025-04-28
A group of researchers covertly ran a months-long "unauthorized" experiment in one of Reddit’s most popular communities using AI-generated comments to test the persuasiveness of large lang [...]
2025-09-30
Meta’s AI research team has released a new large language model (LLM) for coding that enhances code understanding by learning not only what code looks like, but also what it does when executed. The [...]
2025-10-02
A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets. [...]
2025-05-05
Over the past few years, Large language models (LLMs) have drawn scrutiny for their potential misuse in offensive cybersecurity, particularly in generating software exploits. The recent trend towards [...]
2025-10-02
IBM today announced the release of Granite 4.0, the newest generation of its homemade family of open source large language models (LLMs) designed to balance high performance with lower memory and cost [...]