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Category: robotics/AI – Page 623

Study reveals the impact of prompt design on ChatGPT’s health advice accuracy

Study: Dr ChatGPT tell me what I want to hear: How different prompts impact health answer correctness

As AI becomes increasingly integral to our daily lives, its ability to provide accurate and reliable information, particularly in sensitive areas such as health, is under intense scrutiny. The study conducted by CSIRO and The University of Queensland researchers brings to light the nuanced ways in which the formulation of prompts influences ChatGPT’s responses. In the realm of health information seeking, where the accuracy of the information can have profound implications, the findings of this study are especially pertinent.

Using the Text Retrieval Conference (TREC) Misinformation dataset, the study precisely evaluated ChatGPT’s performance across different prompting conditions. This analysis revealed that ChatGPT could deliver highly accurate health advice, with an effectiveness rate of 80% when provided with questions alone. However, this effectiveness is significantly compromised by biases introduced through the phrasing of questions and the inclusion of additional information in the prompts.

New window film drops temperature, slashes energy consumption

Assisted by quantum physics and machine learning, researchers have developed a transparent window coating that lets in visible light but blocks heat-producing UV and infrared. The coating not only reduces room temperature but also the energy consumption related to cooling, regardless of where the sun is in the sky.

Windows are great. They provide views of the park you live across from or the bird-filled tree outside your office. But, windows can also be not-so-great. Letting in light (and the view) is one thing, but with light comes heat, especially in the hotter months.

On hot days, up to 87% of heat gain in our homes is through windows. UV radiation from sunlight passes easily through glass, heating up the room and increasing the likelihood that you need to turn on the air-con or else forgo any light (and, again, that view) by closing the curtains or lowering the blinds. However, researchers at the University of Notre Dame have developed a window coating that blocks heat-producing UV and infrared light while allowing visible light in, reducing both room temperature and cooling energy consumption.

GPT-4 is 82% more persuasive than humans, and AIs can now read emotions

GPT-4 is already better at changing people’s minds than the average human is, according to new research. The gap widens the more it knows about us – and once it can see us in real time, AI seems likely to become an unprecedented persuasion machine.

We don’t tend to like thinking of ourselves as being particularly easy to manipulate, but history would appear to show that there are few things more powerful than the ability to sway people to align with your view of things. As Yuval Noah Harari points out in Sapiens, his potted history of humankind, “shared fictions” like money, religion, nation states, laws and social norms form the fundamental backbones of human society. The ability to assemble around ideas and co-operate in groups much bigger than our local tribes is one of our most potent advantages over the animal kingdom.

But ideas are mushy. We aren’t born with them, they get into our heads from somewhere, and they can often be changed. Those that can change people’s minds at scale can achieve incredible things, or even reshape our societies – for better and for much worse.

AI Generates High-Quality Images 30 times faster in a Single Step

In our current age of artificial intelligence, computers can generate their own “art” by way of diffusion models, iteratively adding structure to a noisy initial state until a clear image or video emerges.

Diffusion models have suddenly grabbed a seat at everyone’s table: Enter a few words and experience instantaneous, dopamine-spiking dreamscapes at the intersection of reality and fantasy. Behind the scenes, it involves a complex, time-intensive process requiring numerous iterations for the algorithm to perfect the image.

MIT Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers have introduced a new framework that simplifies the multi-step process of traditional diffusion models into a single step, addressing previous limitations. This is done through a type of teacher-student model: teaching a new computer model to mimic the behavior of more complicated, original models that generate images.

What Are The Real Costs Of AI Projects?

When you’re trying to run and manage AI projects, there’s a lot that needs to be considered in terms of determining project budgets and cost. All technology projects have three major aspects of cost: software, hardware, and services. But when it comes to AI projects an additional aspect needs to come into play: data.

If you’re trying to generate a return on investment, you need to know what the investment part is. You have to know what the return is, too. But of the two things, you’re guaranteed to spend at least what the investment part is, if not more, but you’re not guaranteed anything about the return. People underestimate the complexity and cost of dealing with data. So, it’s crucial to think about how big your AI project is. Because when it comes to AI projects, size really does matter.

Tenyx Voice: Revolutionizing Customer Service With Conversational AI

Without exception, we all hate the maddening menus and mind-numbing muzak we suffer through while waiting for an actual human being to answer a customer service line.

Hopefully, salvation is around the corner.

Tenyx, a trailblazer in voice AI systems, has unveiled a comprehensive conversational AI solution that is poised to redefine how enterprises interact with their customers.

The Silent Shift: How AI Stealthily Reshapes Our Work And Future

In the shadows of the digital age, a quiet revolution unfolds, reshaping the landscape of work with every passing moment. Artificial intelligence (AI), once the fodder of science fiction and speculative thought, now infiltrates every facet of our professional lives, often in ways so subtle that its impact goes unnoticed until it’s too late. This silent shift sees AI not just complementing human efforts but outright replacing them, leaving a trail of obsolescence in its wake. Thus, let’s delve into the stark realities of AI’s encroachment on human jobs, exploring the future landscape of employment and the duality of its impact, through a lens that does not shy away from the grim nuances of this transition.

Across industries, AI’s efficiency, relentless work ethic, and precision have made it an irresistible choice for employers. From manufacturing lines where robotic arms assemble products with inhuman speed and accuracy, to sophisticated algorithms that manage stock portfolios, outperforming their human counterparts, the signs are clear. AI doesn’t just work alongside humans; it often works instead of them. The adoption of AI in tasks ranging from customer service bots handling inquiries with unsettling empathy, to AI-driven analytics predicting market trends with eerie accuracy, showcases a reality where human involvement becomes increasingly redundant.

As AI continues to evolve, the future of human employment navigates a precarious path. On one hand, new realms of jobs and careers will emerge, focusing on managing, enhancing, and leveraging AI technologies. On the other, the specter of widespread job displacement looms large, a testament to the inexorable march of progress that waits for no one.

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