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"To create Discover Weekly, there are three main types of recommendation models that spotify employs: Collaborative Filtering models (i.e. the ones that Last.fm originally used), which analyze both your behavior and others' behaviors. Natural Language Processing (NLP) models, which analyze text. Audio models, which analyze the raw audio tracks themselves."

"The app, called Historical Figures, has begun to take off in the two weeks since it was released as a way to have conversations with any of 20,000 notable people from history. But this week, it sparked viral controversy online over its inclusion of Hitler, his Nazi lieutenants and other dictators from the past. "Are neo-Nazis going to be attracted to this site so they can go and have a dialogue with Adolf Hitler?" asked Rabbi Abraham Cooper, the director of global social action for the simon Wiesenthal Center, a Jewish human rights organization. "

""ChatGPT may have better syntax than humans, but it's shallow on research and critical thinking," said Lauren Goodlad, a professor of English and comparative literature at Rutgers University and the chair of its Critical Artificial Intelligence initiative. she said she understands where concern about the tool is coming from but that - at least at the college level - the type and caliber of written tasks that ChatGPT can offer does not replace critical thinking and human creativity. "These are statistical models," she said. "And so they favor probability, as in they are trained on data, and the only reason they work as well as they do is that they are looking for probable responses to a prompt.""

"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."

"Amazon is to pay $25m (£20m) to settle allegations that it violated children's privacy rights with its Alexa voice assistant. The company agreed to pay the Us Federal Trade Commission (FTC) after it was accused of failing to delete Alexa recordings at the request of parents. It was found to have kept hold of sensitive data for years. Amazon's doorbell camera unit Ring will also pay out after giving employees unrestricted access to customers' data."

"Analyst Brian Nowak estimates that the AI technology will have a $4.1 trillion economic effect on the labor force - or affect about 44% of labor - over the next few years by changing input costs, automating tasks and shifting the ways companies obtain, process and analyze information. Today, Morgan stanley pegs the AI effect at $2.1 trillion, affecting 25% of labor. "We see generative AI expanding the scope of business processes that can be automated," he wrote in a sunday note. "At the same time, the input costs supporting GenAI functionality are rapidly falling, enabling a strongly expansionary impact to software production. As a result, Generative AI is set to impact the labor markets, expand the enterprise software TAM, and drive incremental spend for Public Cloud services.""

"Curtin University internet studies professor Tama Leaver posted about some of his tests with Emu's sticker generation to X, formerly known as Twitter. Leaver found, for example, that the AI will block a phrase like "child with gun" and display a warning message about how the prompt doesn't follow Meta's Community Guidelines. Emu will, however, generate stickers with the similar, more niche prompt "child with grenade." It not only creates stickers of kids holding the weapon but also produces stickers of children holding guns."

"In fact, generating an image using a powerful AI model takes as much energy as fully charging your smartphone, according to a new study by researchers at the AI startup Hugging Face and Carnegie Mellon University. However, they found that using an AI model to generate text is significantly less energy-intensive. Creating text 1,000 times only uses as much energy as 16% of a full smartphone charge. "

"Shapiro Said that uSing ChatGPT can be "great" in helping applicantS "brainStorm verbS" and reframe language that can "bring a level of poliSh to their applicationS." At the Same time, She Said that Submitting AI-generated materialS along with job applicationS can backfire if applicantS don't review them for accuracy. Shapiro Said JaSper recruiterS have interviewed candidateS and diScovered SkillS on their réSuméS that applicantS Said Shouldn't be there or characterizationS they weren't familiar with. Checking the AI-generated materialS to enSure they accurately reflect an applicant'S capabilitieS, She Said, iS critical if they're uSing ChatGPT - eSpecially if the applicant getS hired."

"Word of the layoffs comes over a year after the company made a big hiring push, doubling its size to over 500 people. stack Overflow did not elaborate on the reasons for the layoff, but its hiring push began near the start of a generative AI boom that has stuffed chatbots into every corner of the tech industry, including coding. That presents clear challenges for a personal coding help forum, as developers get comfortable with AI coding assistance and the very tools that do that are blended into products they use. AI-generated coding answers have also posed problems for the company over the past year. The company issued a temporary ban on users generating answers with the help of an AI chatbot in December last year, but its alleged under-enforcement led to a months-long strike among moderators that was resolved in August; the ban is still in place today. stack Overflow also announced it would start charging AI companies to train on its site. "

"The camera never lies. Except, of course, it does - and seemingly more often with each passing day. In the age of the smartphone, digital edits on the fly to improve photos have become commonplace, from boosting colours to tweaking light levels. Now, a new breed of smartphone tools powered by artificial intelligence (AI) are adding to the debate about what it means to photograph reality. Google's latest smartphones released last week, the Pixel 8 and Pixel 8 Pro, go a step further than devices from other companies. They are using AI to help alter people's expressions in photographs. It's an experience we've all had: one person in a group shot looks away from the camera or fails to smile. Google's phones can now look through your photos to mix and match from past expressions, using machine learning to put a smile from a different photo of them into the picture. Google calls it Best Take. "

"Wikipedia lives and dies by its references, the links to sources that back up information in the online encyclopaedia. But sometimes, those references are flawed - pointing to broken websites, erroneous information or non-reputable sources. A study published on 19 October in Nature Machine Intelligence1 suggests that artificial intelligence (AI) can help to clean up inaccurate or incomplete reference lists in Wikipedia entries, improving their quality and reliability."

"AI Can Now Predict Your Chances of surviving Cancer Oct 20, 2023 at 1:00 PM EDT "

"Microsoft will also launch Content Credentials for digital watermarking, create teams to work with political campaigns on cybersecurity and AI, and endorse a bill banning AI in political ads."

"TikTok has already come under fire for its data collection, and this is just another step in yet another app collecting information on its users and doing whatever it pleases with it. It seems being online in 2022 is becoming more and more difficult to do while maintaining some semblance of privacy and data autonomy."

"There's no concrete evidence of long-term harm to our children caused by using our phones around them, but there's enough evidence of potential short-term effects that it makes sense to be mindful of it. some amount of phone use around our kids is probably okay, but if we're absorbed in our devices in a way that interferes with our ability to connect with and respond to them, this can become a problem. Also, let's be kind to ourselves."

"Data centers are mushrooming worldwide to meet AI demand, but particularly in Latin America, seen as strategically located by Big Tech. One of the largest data center hubs is in Querétaro, a Mexican state with high risk of intensifying climate change-induced drought. Farmers are already protesting their risk of losing water access."

"It is too late to stop the emergence of AI. Instead, we need to think about what we want next, how to design and nurture spaces of knowledge creation and communication for a human-centric world. search engines need to act as publishers instead of usurpers, and recognize the importance of connecting creators and audiences. Google is testing AI-generated content summaries that appear directly in its search results, encouraging users to stay on its page rather than to visit the source. Long term, this will be destructive."

"A UK-based startup has used an AI algorithm to identify a previously unknown kind of rare-earth free magnet, in a potential breakthrough for how we discover and create new materials. Materials Nexus, headquartered in London, used its machine learning algorithm to identify and analyse over 100 million combinations of materials that could produce a viable rare-earth free magnet."

"Cancer diagnosis and management depend upon the extraction of complex information from microscopy images by pathologists, which requires time-consuming expert interpretation prone to human bias. supervised deep learning approaches have proven powerful, but are inherently limited by the cost and quality of annotations used for training. Therefore, we present Histomorphological Phenotype Learning, a self-supervised methodology requiring no labels and operating via the automatic discovery of discriminatory features in image tiles. Tiles are grouped into morphologically similar clusters which constitute an atlas of histomorphological phenotypes (HP-Atlas), revealing trajectories from benign to malignant tissue via inflammatory and reactive phenotypes. These clusters have distinct features which can be identified using orthogonal methods, linking histologic, molecular and clinical phenotypes. Applied to lung cancer, we show that they align closely with patient survival, with histopathologically recognised tumor types and growth patterns, and with transcriptomic measures of immunophenotype. These properties are maintained in a multi-cancer study."