Author: Ben Dickson
One of the growing concerns regarding large language models (LLM) like ChatGPT is their ability to generate convincing yet false information. Despite the increasing discourse, our understanding of the potential impact and our readiness to mitigate these effects remain incomplete. A recent collaborative study by scientists from various universities and institutions illuminates the issue of information veracity with LLMs. The study underscores two significant aspects. First, even well-intentioned LLMs can inadvertently propagate unreliable information. Second, a bigger threat is the potential misuse of AI chatbots for malicious purposes, such as writing scam emails, disseminating disinformation, or manipulating bot feeds. The research highlights…
We’re seeing the latest chapter of the Microsoft-OpenAI saga unfold after the two companies declared the extension of their partnership. The multi-year, multibillion-dollar investment will provide OpenAI with a lifeline and infrastructure to continue its extremely expensive artificial intelligence research. And Microsoft will have exclusive access to OpenAI’s technology and its top engineering and scientific AI talent. Both the research lab and tech giant stand to gain from the partnership in the short term. But in the long term, OpenAI will inch toward becoming a Microsoft subsidiary, making it hard for the AI lab to pursue its independent research. Shared…
Artificial intelligence promises to help us become faster and better and fighting diseases, live healthier lives, and reduce the costs of health care. And in the past decade, there has been plenty of research that shows deep learning, the branch of AI that turns data patterns into predictions, can be a very useful tool at many challenging tasks such as diagnosing different types of cancer, speeding up drug discovery, and providing precision care. Applying AI to real-world health care problems, however, is a complicated process that involves solving a multitude of problems that go beyond creating AI models that can map…
Self-driving car startup Cruise has received more than $2 billion in a new round of investment from Microsoft, General Motors, Honda, and institutional investors, according to a joint statement by Cruise, its owner GM, and Microsoft on Tuesday. The investment will bring the valuation of Cruise to $30 billion and make Microsoft an official partner. Per Tuesday’s announcement: “To unlock the potential of cloud computing for self-driving vehicles, Cruise will leverage Azure, Microsoft’s cloud and edge computing platform, to commercialize its unique autonomous vehicle solutions at scale. Microsoft, as Cruise’s preferred cloud provider, will also tap into Cruise’s deep industry expertise [emphasis mine]…