Taiwan’s Foxconn says it plans to build artificial intelligence (AI) data factories with technology from American chip giant Nvidia, as the electronics maker ramps up efforts to become a major global player in electric car manufacturing.
Foxconn Chairman Young Liu and Nvidia CEO Jensen Huang jointly announced the plans on Wednesday in Taipei. The duo said the new facilities using Nvidia’s chips and software will enable Foxconn to better utilize AI in its electric vehicles (EV). — Read More
Monthly Archives: October 2023
AI Chatbots Can Guess Your Personal Information From What You Type
The way you talk can reveal a lot about you—especially if you’re talking to a chatbot. New research reveals that chatbots like ChatGPT can infer a lot of sensitive information about the people they chat with, even if the conversation is utterly mundane.
The phenomenon appears to stem from the way the models’ algorithms are trained with broad swathes of web content, a key part of what makes them work, likely making it hard to prevent. “It’s not even clear how you fix this problem,” says Martin Vechev, a computer science professor at ETH Zurich in Switzerland who led the research. “This is very, very problematic.”
Vechev and his team found that the large language models that power advanced chatbots can accurately infer an alarming amount of personal information about users—including their race, location, occupation, and more—from conversations that appear innocuous. — Read More
Memory Capabilities of ERNIE 4.0 | Baidu World 2023
The Operational Risks of AI in Large-Scale Biological Attacks
The rapid advancement of artificial intelligence (AI) has far-reaching implications across multiple domains, including its potential to be applied in the development of advanced biological weapons. The speed at which AI technologies are evolving often surpasses the capacity of government regulatory oversight, leading to a potential gap in existing policies and regulations. Previous biological attacks that failed because of a lack of information might succeed in a world in which AI tools have access to all of the information needed to bridge that information gap.
The authors of this report look at the emerging issue of identifying and mitigating the risks posed by the misuse of AI—specifically, large language models (LLMs)—in the context of biological attacks. They present preliminary findings of their research and examine future paths for that research as AI and LLMs gain sophistication and speed. — Read More
The Rise of AI Titans: China’s Hi-Tech Cities Forge a Path to the Future
In the vast landscape of technological advancements, China’s AI cities stand as a testament to the transformative power of innovation. These cities, equipped with the latest in artificial intelligence, are not just reshaping urban landscapes but are also fundamentally altering the way residents live, work, and play. — Read More
Minds of machines: The great AI consciousness conundrum
David Chalmers was not expecting the invitation he received in September of last year. As a leading authority on consciousness, Chalmers regularly circles the world delivering talks at universities and academic meetings to rapt audiences of philosophers—the sort of people who might spend hours debating whether the world outside their own heads is real and then go blithely about the rest of their day. This latest request, though, came from a surprising source: the organizers of the Conference on Neural Information Processing Systems (NeurIPS), a yearly gathering of the brightest minds in artificial intelligence.
… Chalmers was an eminently sensible choice to speak about AI consciousness. He’d earned his PhD in philosophy at an Indiana University AI lab, where he and his computer scientist colleagues spent their breaks debating whether machines might one day have minds. In his 1996 book, The Conscious Mind, he spent an entire chapter arguing that artificial consciousness was possible.
If he had been able to interact with systems like LaMDA and ChatGPT back in the ’90s, before anyone knew how such a thing might work, he would have thought there was a good chance they were conscious, Chalmers says. But when he stood before a crowd of NeurIPS attendees in a cavernous New Orleans convention hall, clad in his trademark leather jacket, he offered a different assessment. Yes, large language models—systems that have been trained on enormous corpora of text in order to mimic human writing as accurately as possible—are impressive. But, he said, they lack too many of the potential requisites for consciousness for us to believe that they actually experience the world. — Read More
Multi-modal prompt injection image attacks against GPT-4V
GPT4-V is the new mode of GPT-4 that allows you to upload images as part of your conversations. It’s absolutely brilliant. It also provides a whole new set of vectors for prompt injection attacks. — Read More
How roboticists are thinking about generative AI
The topic of generative AI comes up frequently in my newsletter, Actuator. I admit that I was a bit hesitant to spend more time on the subject a few months back. Anyone who has been reporting on technology for as long as I have has lived through countless hype cycles and been burned before. Reporting on tech requires a healthy dose of skepticism, hopefully tempered by some excitement about what can be done.
This time out, it seemed generative AI was waiting in the wings, biding its time, waiting for the inevitable cratering of crypto. As the blood drained out of that category, projects like ChatGPT and DALL-E were standing by, ready to be the focus of breathless reporting, hopefulness, criticism, doomerism and all the different Kübler-Rossian stages of the tech hype bubble. — Read More
MemGPT: Towards LLMs as Operating Systems
Large language models (LLMs) have revolutionized AI, but are constrained by limited context windows, hindering their utility in tasks like extended conversations and document analysis. To enable using context beyond limited context windows, we propose virtual context management, a technique drawing inspiration from hierarchical memory systems in traditional operating systems that provide the appearance of large memory resources through data movement between fast and slow memory. Using this technique, we introduce MemGPT (Memory-GPT), a system that intelligently manages different memory tiers in order to effectively provide extended context within the LLM’s limited context window, and utilizes interrupts to manage control flow between itself and the user. We evaluate our OS-inspired design in two domains where the limited context windows of modern LLMs severely handicaps their performance: document analysis, where MemGPT is able to analyze large documents that far exceed the underlying LLM’s context window, and multi-session chat, where MemGPT can create conversational agents that remember, reflect, and evolve dynamically through long-term interactions with their users. We release MemGPT code and data for our experiments at this https URL. — Read More