Group items tagged

"A Google employee named Blake Lemoine was put on leave recently after claiming that one of Google's artificial-intelligence language models, called LaMDA (Language Models for Dialogue Applications), is sentient. He went public with his concerns, sharing his text conversations with LaMDA. At one point, Lemoine asks, "What does the word 'soul' mean to you?" LaMDA answers, "To me, the soul is a concept of the animating force behind consciousness and life itself." "I was inclined to give it the benefit of the doubt," Lemoine explained, citing his religious beliefs. "Who am I to tell God where he can and can't put souls?""

"Google has put a temporary block on its new artificial intelligence model producing images of people after it portrayed German second world war soldiers and Vikings as people of colour. The tech company said it would stop its Gemini model generating images of people after social media users posted examples of images generated by the tool that depicted some historical figures - including popes and the founding fathers of the US - in a variety of ethnicities and genders."

"The announcement also highlights the growing partnership between Meta and Nvidia. Nvidia is a key Meta partner, providing the Facebook parent with computing chips called GPUs to help train its AI models, including the latest version of Llama."

"A source told Reuters that OpenAI has tested a model internally that achieved a 90 percent score on a challenging test of AI math skills, though it again couldn't confirm if this was related to project Strawberry. But another two sources reported seeing demos from the Q* project that involved models solving math and science questions that would be beyond today's leading commercial AIs."

"The climate crisis could prove AI's greatest challenge. While Google publicises AI-driven advances in flooding, wildfire and heatwave forecasts, like many big tech companies, it uses more energy than many countries. Today's large models are a major culprit. It can take 10 gigawatt-hours of power to train a single large language model like OpenAI's ChatGPT, enough to supply 1,000 US homes for a year."

"The research, conducted at Vision and AI Lab of the Department of Computational and Data Sciences, offers a novel approach to mitigating bias in popular image-generative models without the need for additional data or model retraining."

"Halfway through their three-hour conversation, Brown said something that caught me off-guard. In hindsight, it isn't all that surprising-as long as you're aware of the latest advances-but it may still shock you coming from a physics university professor: A lot of physics professors are using [large language models] just as personal tutors.1"

"The research refers to tech executives discussing how AI models will be able to predict a user's intent and actions. It quotes the chief executive of the largest AI chipmaker, Jensen Huang of Nvidia, who said last year that models will "figure out what is your intention, what is your desire, what are you trying to do, given the context, and present the information to you in the best possible way"."

"Our findings show that both model and user behaviors can influence social and emotional outcomes. Effects of AI vary based on how people choose to use the model and their personal circumstances. This research provides a starting point for further studies that can increase transparency, and encourage responsible usage and development of AI platforms across the industry."

" In other words: get ready for an era when even the most plausible videos aren't safe from a little computer trickery."

"People have made the anecdotal observation that their Apple products become much slower right before the release of a new model. Now, a Harvard University study has done what any person with Google Trends could do, and pointed out that Google searches for "iPhone slow" spiked multiple times, just before the release of a new iPhone each time."

"Japanese supercomputer simulations showed that wearing two masks gave limited benefit in blocking viral spread compared with one properly fitted mask. The findings in part contradict recent recommendations from the U.S. Centers of Disease Control and Prevention (CDC) that two masks were better than one at reducing a person's exposure to the coronavirus. Researchers used the Fugaku supercomputer to model the flow of virus particles from people wearing different types and combinations of masks, according to a study released on Thursday by research giant Riken and Kobe University."

"This time the model could look at both the surrounding words and the content of the image to fill in the blank. Through millions of repetitions, it could then discover not just the patterns among the words but also the relationships between the words and the elements in each image."

"The model takes a two-pronged approach. First, it focuses on trends present in the region, looking at geostatistics and historical data from Prodes, the annual government monitoring system for deforestation in the Amazon. Understanding what has happened can help make predictions more precise. When already deforested areas are recent, this indicates gangs are operating in the area, so there's a higher risk that nearby forest will soon be wiped out. Second, it looks at variables that put the brakes on deforestation - land protected by Indigenous and quilombola (descendent of rebel slaves) communities, and areas with bodies of water, or other terrain that doesn't lend itself to agricultural expansion, for instance - and variables that make deforestation more likely, including higher population density, the presence of settlements and rural properties, and higher density of road infrastructure, both legal and illegal."

"Getty points to images produced by Stable Diffusion which contain its copyright watermark, suggesting that Stable Diffusion has ingested and is reproducing copyrighted material without permission (Stability AI has not yet commented publicly on the lawsuit). The same level of evidence is harder to come by when examining ChatGPT's text output, but there is no doubt that it has been trained on copyrighted material. OpenAI will be hoping that its text generation is covered by "fair use", a provision in copyright law that allows limited use of copyrighted material for "transformative" purposes. That idea will probably one day be tested in court."

"Most AI programs function like a "black box." "We know exactly what a model does but not why it has now specifically recognized that a picture shows a cat," said computer scientist Kristian Kersting of the Technical University of Darmstadt in Germany to the German-language newspaper Handelsblatt. That dilemma prompted Kersting-along with computer scientists Patrick Schramowski of the Technical University of Darmstadt and Björn Deiseroth, Mayukh Deb and Samuel Weinbach, all at the Heidelberg, Germany-based AI company Aleph Alpha-to introduce an algorithm called AtMan earlier this year. AtMan allows large AI systems such as ChatGPT, Dall-E and Midjourney to finally explain their outputs."

"Can AI and analytics be used in a way that improves operational efficiency without jeopardizing our ethical principles? The answer is "yes" - if moral objectives and constraints, now often treated as an afterthought, are considered from the outset when designing models. We will discuss a recent attempt to combine ethics, analytics, and operational efficiency in the world of organ allocation and examine the lessons it holds for other areas of health care and beyond."

"Abbott's experience mirrors the situation faced by Africans who don't speak English. Many language models like ChatGPT do not perform well for languages with smaller numbers of speakers, especially African ones. But a new venture called Lelapa AI, a collaboration between Abbott and a biomedical engineer named Pelonomi Moiloa, is trying to use machine learning to create tools that specifically work for Africans."

"A digital twin is a virtual representation of a real system - a building, the power grid, a city, even a human being - that mimics the characteristics of the system. A digital twin is more than just a computer model, however. It receives data from sensors in the real system to constantly parallel the system's state."