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Generative AIGenerative AI is a form of artificial intelligence that can mimic human imagination and creativity. The term "generative" refers to models’ ability to generate original content, including text, video, audio, and more. Text-based generation relies on large language models that have been trained on massive datasets of public text. These models identify patterns in the sequence of words and create responses one word at a time, resembling an advanced auto-complete tool. Tools that generate images and videos rely on a single system—the generator—producing data that resembles training data, while a second system—a discriminator—distinguishes between generated data and training data. Both systems compete until the discriminator is unable to differentiate between the two sets of data successfully. As of October 2025, approximately 800 million people use ChatGPT weekly, and new media-generating tools are being introduced daily, increasing the risk of bad actors utilizing them to create disinformation and propaganda.Explore Generative AI

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Artificial intelligence might make companies too efficient—which could trigger deflationAI innovation will likely decrease costs for companies and lead to a large increase in supply. That dramatic increase could conceivably bring prices down but keep supply high. However, AI's real impact will likely be complicated by its impact on human labor and the cost of new technology. ForbesArtificial intelligence may improve organ donation systems—and even organ healthMayo Clinic transplant experts suggest that artificial intelligence could potentially improve organ donation systems in several ways, including better identifying patients most at risk for organ rejection, enhancing donor-recipient matching, and helping to avoid organ transplant needs by identifying health issues earlier. The Atlanta Journal ConstitutionAs of 2025, artificial intelligence systems remain narrow and specializedEfforts are ongoing to create artificial general intelligence, where machines outperform humans across a wide range of cognitive tasks, including those for which they have not been specifically trained. Current models utilize machine learning and neural networks to perform tasks for which they are programmed, leveraging provided training data. Kurzgesagt – In a NutshellCUDA was Nvidia’s first step into artificial intelligenceCUDA (Compute Unified Device Architecture) is a parallel computing platform that was developed by Nvidia in the mid-2000s. By letting people perform computations in parallel, rather than sequentially, CUDA allowed people to compute large amounts of data quickly. CUDA has been used to build machine-learning models as well. FireshipArtificial intelligence may further enhance smart city data analysisIdentifying patterns within systems in the Internet of Things may enable AI tools to make informed decisions regarding transportation, safety, and sustainability without human intervention. However, such tools will also need to successfully address concerns about privacy, digital equity, and algorithmic bias. S&P GlobalHow artificial intelligence, which detects patterns, can identify burnoutResearchers are training AI to detect stress-related symptoms, helping physicians and other medical workers recognize and reduce stress from overwork and potentially avoid burnout. NYU Langone HealthThere’s an artificial intelligence model trained on bankruptcy lawAlthough it's designed for lawyers, the tool is able to help everyday browsers synthesize important cases and point users to relevant documents about them. One sample using it asks Chatlaw to explain the significance of a recent case and then to define relevant terminology. ChatLawMachine learning and deep learning are successive subsets of artificial intelligenceML allows systems to learn from data, while DL uses complex neural networks to analyze large amounts of unstructured data. Neural networks enable capabilities like image and speech recognition through their use of algorithms to identify patterns in data. IBMA brief history of artificial intelligenceThe concept of artificial intelligence and what it may mean for humanity has evolved as computer technologies have grown increasingly powerful through the decades. Beginning with the first (massive) computers in the 1940s, scientists have sought to make the machines as intelligent as humans. But it wasn't until computing power made exponential gains have computers begun to imitate human behavior. Our World in DataIBM's introduction to artificial intelligenceArtificial intelligence leverages computers and machines to mimic the problem-solving and decision-making capabilities of the human mind. IBMPlanning the future of artificial intelligenceWhile AI is just in its early development, now is the ideal time to bring that intentionality to urban applications. The Brookings InstitutionWhy artificial intelligence can't (legally) be an inventorFollowing similar decisions from European agencies. The VergeThe ethical considerations of artificial intelligenceThose who could be exploited by AI should be shaping its projects. NatureThe term 'artificial intelligence' was coined in 1956Dartmouth professor John McCarthy introduced the term during a summer workshop aimed at exploring how to make machines perform human-like tasks. Two years later, Perceptron Mark I became one of the first neural network machines. WIREDLarge language models struggle to play video games, despite coding them easilyAs of 2025, given clear tasks, specific feedback, and test results to learn from, LLMs have been successful at coding simple video games that resemble pre-existing ones. However, given the variety of games, the lack of training datasets, and the need for spatial awareness, which LLMs find challenging, some of these models experience greater difficulty navigating and "winning" games. IEEE SpectrumWhy private credit has faced challenges in recent yearsThe factors that some experts say are driving what could be private credit's most challenging era since the 2008 financial crisis include global economic uncertainty around trade and tariffs, investor fears about the amount of money being spent on artificial intelligence, and more. S&P GlobalWhy is Bob Dylan on Patreon?The singer's notorious for his inscrutability, but his venture into the content subscription website might be one of his stranger choices, especially given the posted content that resembles AI-generated material. Pitchfork's Nina Corcoran surveys the site and tries to make sense. PitchforkHow to financially prepare if you think AI is coming for your jobOne expert suggests contributing more money to an emergency savings fund and putting that fund in a high-yield savings account, maxing out employee benefits while still employed, and more. The Motley FoolRead Mark Zuckerberg and Priscilla Chan Zuckerberg's $45B letter to their daughterAfter giving birth to their daughter, the Zuckerbergs launched the Chan Zuckerberg Initiative in 2015. The pair announced the charitable organization's creation in a letter addressed to their daughter. The Zuckerbergs pledged 99% of their earnings from Facebook over the course of their lives to advance education, cure disease, and transform public policy, something the letter says is a commitment to their daughter's future. The organization has since shifted its focus to artificial intelligence and science. In high school, Mark Zuckerberg rejected Microsoft's proposal to buy his music suggestion software for $950KMark Zuckerberg and Adam D'Angleo built a website called "Synapse," which created playlists for users based on their listening preferences and an algorithm to suggest new songs, in September 2002. Space-based solar power systems may beam energy to EarthResearchers have successfully collected power from solar panels on a plane and transmitted it to a receiver on Earth's surface, achieving a milestone for space-based energy. The proof of concept is a precursor for a satellite-based solar farm that would transmit energy 24 hours a day. IEEE SpectrumAs of 2025, increasing numbers of people turn to AI companions for emotional connectionThese chatbots provide endlessly supportive, one-sided, and highly customizable relationships to users, but may hinder the development of real-world connections and emotional growth. About 72% of teens have tried AI companions, with more than half of them using one regularly. Speaking of PsychologyAI systems identify patterns involving physics and time through 'world models'These realistic virtual environments, such as driving simulations seen in video games, allow these systems to "learn" properties about reality beyond what can be captured in samples of text, images, and videos. Training AI in these simulated environments can help develop "physical AI" for automated robotic systems. (Some readers may experience a paywall.) The Wall Street JournalAI is transforming the marketing and advertising industriesMany marketers argue that AI is useful in an ad agency setting. Others attribute the significant layoffs the industry has faced in recent years, at least in part, to AI. Agency leaders and big tech firms alike have supported experimenting with artificial intelligence’s capacity to create content once reserved for agency creatives. The GuardianThe do's and don'ts of using AI to manage your financesExperts suggest avoiding asking AI for investment advice, but say it's useful for basic budgeting help. Read this article to learn more. NerdWalletAI-powered models can provide low-cost, localized and accurate weather forecastingThese models can run on standard laptops, reducing the need for expensive supercomputers and expanding access to developing regions. AI forecasts can help farmers make informed planting decisions, improving crop yields and reducing costs. The ConversationData centers' electrical needs create increased water demands beyond coolingEach query uses approximately one single-serving water bottle per conversation, but water is also used for steam cycles and cooling in power plants that generate electricity for data centers. Newer cooling methods, such as immersion cooling, where servers are submerged in fluids that don't conduct electricity, can minimize water use. The ConversationAI superintelligence is a hypothetical system vastly more capable than humansResearchers describe superintelligence as an artificial intelligence system that exceeds human cognitive ability in every area. It is viewed as the theoretical evolution of artificial general intelligence, in which AI systems learn and have the capability of a typical human. IBM TechnologyIBM’s supercomputer Deep Blue beat Garry Kasparov in 1997After defeating IBM’s Deep Blue in 1996, world champion Garry Kasparov lost their 1997 rematch 3½–2½. The match was a milestone in artificial intelligence, marking the first time a computer beat a reigning world champion. BBC NewsThe 31 best science fiction films everThis list refreshingly starts off with the best first—1968's "2001: A Space Odyssey," Stanley Kubrick's cerebral, futuristic icon. Coming in at 31st is Disney's "Wall-E." EWGoogle invented the foundation of the AI movement—but ChatGPT was a shockFor years, Google was the cutting-edge of the AI world, including the development of the Transformer—the basis of contemporary AI chatbots. But since OpenAI debuted ChatGPT in 2022, the company was had to play catch-up. This is a four-hour deep dive into Google's AI history. AcquiredAI may help the 1.4 billion people worldwide who lack access to basic financial servicesArtificial intelligence is fuelling a financial technology transformation in some countries where an outsized number of residents lack access to basic financial services, including Brazil and Nigeria. World Economic ForumTransformer architecture can recognize and predict patterns in languageThe underlying software powering text generation in AI tools associates each word or subword—called a token—with a set of values corresponding to how often it appears near other tokens. By recognizing these associations in prompts, the LLM can infer meaning. Financial TimesAI chatbot use among quarreling couples can aggravate tensionsChatbots can become a sounding board for venting spouses looking to analyze their relationship and find support for their views. Many couples report the negative influence of chatbots like ChatGPT, with some claiming the tools led to divorce. FuturismIn 2025, American tech companies will spend $300B to $400B on AIThat is, in nominal dollars, more than any group of companies has ever spent to do anything. Notably, these companies are not remotely close to earning $400B on artificial intelligence. SpotifyComputational and biological systems share fundamental principles, like randomnessProposed by Alan Turing and John von Neumann, the concept originates from how DNA and computers run by executing encoded instructions in parallel. The advent of AI and the temperature parameter has seen neural networks mimic the randomness of protein encoding. The MIT Press Reader87% of the startups in Y Combinator’s Fall 2025 batch were AI companiesY Combinator also recently increased its number of cohorts or “batches” per year from two to four. Its leaders cited artificial intelligence’s rise as a reason for the increase. Fast CompanyAI expert shows the cyclical nature of AI hype—in 1988Rodney Brooks wrote several decades ago about the boom and bust cycles of artificial intelligence. Starting from the 1950s excitement over ENIAC's multiplication through the second launch of then-novel neural networks, Brooks suggests AI progresses incrementally despite the hype. Rodney BrooksThere are more than 300 different thematic ETFs Exchange-traded funds seem to offer something for everyone. As tracked by ETF.com, there are 338 thematic ETFs, offering exposure to “baskets” of stocks covering global infrastructure, genomics, cannabis, and more. ETF.comThe growing role of AI in journalismAs artificial intelligence (AI) becomes more widely available, journalism must adapt and establish ethical norms for how the technology is used. This report from the Center for News, Technology & Innovation looks at the issue from every angle, including legal considerations, potential biases in datasets, and the speed at which AI capabilities are changing. It also includes links to recent studies on the use of AI in journalism. Center for News, Technology & InnovationAs of 2025, there are no federal laws involving privacy and smart city technologiesAdvancements in cloud technology and artificial intelligence allow cities to capture, store, and analyze more information than ever before. Experts warn that the unhindered ability to collect and use this data may infringe on residents' rights and endanger them if the data gets into the hands of malicious parties. Nevada CurrentUsing AI to restore speech 30 years after a strokeThrough a novel surgical procedure involving electrodes implanted in the brain, along with the help of artificial intelligence, a stroke patient is regaining her ability to speak. This technology converts her thoughts into speech through a digital avatar, allowing her to verbally express herself for the first time in decades. UC San FranciscoAI may enable smart cities to drastically improve public safetyBy utilizing machine learning techniques to analyze real-time monitoring reports against facial recognition databases, artificial intelligence can enhance the identification of criminals and coordinate an appropriate emergency response across various scenarios. 1440AI can aid fertility treatments, from helping select egg candidates to laboratory automationReproductive AI technologies are already here, from processing vast amounts of data to helping clinicians identify the healthiest embryos for implantation. It could be a boon to the fertility industry, and help mitigate the shortage of experienced embryologists. National Institutes of HealthDystopian satire became more prominent in the 20th centuryAlthough "anti-utopian" stories have always existed, the international conflicts of World War I and World War II inspired some of dystopian literature’s most influential novels, like Yevgeny Zamyatin’s "We," Aldous Huxley’s "Brave New World," and George Orwell’s "1984." In the decades to follow, more writers would follow the example of those early novels, using the dystopian model to critique artificial intelligence, climate change, and more. Electric LiteratureAI gained mainstream attention with tools like IBM Watson and Apple’s SiriWith the release of ChatGPT in 2022, which drew over 100 million weekly users in just two months, natural language processing and understanding could be achieved at scale via machine learning. Unlike earlier artificial intelligence that could pull stored knowledge, generative AI produces text, images, or sounds. 1440Take a quiz to identify whether you can spot deepfakesAdvances in artificial intelligence have made deepfakes increasingly difficult to identify, as they are intentionally designed to appear real. The technology has exacerbated some of the problems brought on by digital editing tools like Photoshop. BBCNeural networks are modeled after an idealization of the brainThese networks—including the backbone of ChatGPT-3, which has approximately 175 billion parameters—naturally discover the implicit rules of grammar and syntax within language by identifying patterns. Deviations in word patterns add creativity to the text generation. Stephen WolframMachine learning lets computers learn from data instead of relying on programmingML is a core part of artificial intelligence and is foundational to applications like chatbots, fraud detection, and self-driving cars. Businesses are also adopting it to improve efficiency and identify patterns in data, though the latter may be inaccurate. MITSurreal backgrounds, asymmetry, and indecipherable text can help identify deepfakesDifferences in the backgrounds of training data with the same subject introduce variability, resulting in background textures and text that lack realistic detail. Difficulties with managing long-distance dependencies, the complexity of hair, and other real-world phenomena introduce errors that can be used to flag AI-generated content. Medium