Search
Showing results for “Generative AI”
Jump to a topic
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 trained on massive datasets of public text. These models identify patterns in word sequences and generate responses one word at a time, resembling an advanced autocomplete tool. Tools that generate images and videos rely on a single system—the generator—that produces data that resembles the training data, while a second system—a discriminator—distinguishes between generated and training data. Both systems compete until the discriminator fails to successfully differentiate between the two sets of data. As of February 2026, approximately 900 million people use ChatGPT weekly, and new media-generating tools are introduced daily, increasing the risk that bad actors will use them to create disinformation and propaganda.Explore Generative AI
What we've found
Because they are built on content produced by humans, who possess biases, generative AI tools inherit prejudices and stereotypes from training data, which later appear in their outputs. University of KansasEnglish mathematician Ada Lovelace wrote the first computer algorithm a century before computers existed and hypothesized that computing devices would one day be able to compose music—foreseeing the generative AI systems of today. SciShowThrough prompt injection attacks, bad actors provide deceptive prompts to generative AI systems in order to manipulate their outputs and acquire sensitive data. Ars TechnicaJust as large language models are trained on text to enable generative AI systems to mimic natural language, automated AI robotic systems are trained in virtual environments to help them 'learn' about the properties of reality. The Wall Street JournalUnlike generative AI systems, such as chatbots that do not take follow-up actions after generating their output, agentic AI systems proactively take steps to achieve goals without continuous user input.Mainstream usage of large language models began with generative AI tools to create content, but LLMs will also power agentic AI systems that proactively achieve user goals without user direction. In this video, IBM Master Inventor Martin Keen explains how these systems will use LLMs and chain of thought reasoning to complete tasks proactively. IBM TechnologyDeepfakes are media created using generative AI tools that intentionally misrepresent real people or events—often for malicious purposes—at the cost of public trust, security, and privacy.For years, one of the unspoken rules of the internet urged users not to believe everything they read. The boom in generative AI now means internet users can’t believe everything they see online, either. Thanks to everything from advancements in machine learning to rapidly improving deepfake technology, computers are now so good at producing imitations of the offline world that the naked eye alone can’t always separate the real from the synthetic. 1440Use generative AI to create a musical track from a text promptSuno, a web-based, text-to-music generator, takes a prompt—such as a music style, along with a general lyric idea—and can produce a highly polished, realistic-sounding tune in a matter of seconds. SunoGovernments are now using generative AI to manipulate public opinionA Freedom House report found that AI-powered disinformation campaigns and censorship tactics are spreading, with 16 countries utilizing the technology to shape online narratives or suppress dissent, as of 2023. In Venezuela, deepfake software was used to push pro-government propaganda with fake news anchors. MIT Technology ReviewIndirect prompt injection is a major security flaw of generative AI systemsThese attacks can manipulate AI behavior by hiding instructions in websites and PDFs that become part of training data. The more companies connect sites, services, and sensitive datasets to AI tools, the greater the chances of exposure to malicious code. WIREDGenerative AI may automate nearly 10% of tasks in the US economy.Artificial intelligence that's now as good or better than humans at a growing number of tasks, thanks to generative AI, will mean an inevitable impact on the job market. Some jobs will be lost, to be replaced by machines, while others will find AI now augmenting their work. This McKinsey podcast takes a closer look at what impacts might be in store, as well as the training and reskilling that generative AI will require. The McKinsey PodcastUsing generative AI to create video introduces physics-compatibility challengesModels involved in generating video from text must maintain spatial and temporal coherence while adhering to the laws of reality to produce smooth, logical motion. Ensuring this consistency creates long-term dependencies with high computational times. Hugging FaceArt and video produced through generative AI involve competing neural networksGenerative adversarial networks are a type of deep learning architecture that consists of a generator, which creates data that appear real, and a discriminator, which attempts to distinguish authentic from fake data. The two train in a competitive loop until the real and fictional data are indistinguishable. AmazonHow generative AI differs from machine learningCompared to machine learning - which is sort of like teaching a toddler how to recognize what a dog looks like by showing them images of one - generative AI is like teaching that same child how to actually draw a dog. Unlike machine learning, generative AI can actually generate. Read this article for a more in-depth comparison between these two types of artificial intelligence. LinkedInGenerative AI tools excel at pattern recognition, not contextual accuracyLarge language models are trained on vast amounts of unstructured data, from which they develop parameters for grammar and associations between words. These connections can introduce errors due to inapplicable reasoning when used on new data in unfamiliar contexts. The EconomistAs of 2022, about 40% of scientific research aimed at generating new knowledge has been funded by the federal government—a percentage that has decreased from a high of 72% in 1967. The ConversationFind out how important you are to AI tools when they generate text responses with this tool, which estimates the weights of people's names. In the WeightsNearly 3 million people fly in and out of US airports every dayHowever, not all of those passengers generate revenue for the airlines they purchase their tickets from. One business class traveler typically pays for five to six economy travelers. That's partly because airlines measure profit by the square foot, and although a business class seat is usually roughly 30% roomier than economy seats, the business class traveler usually pays about three times as much as someone sitting in economy. The HustleResearchers found that by mid-2025, around 35% of newly published websites utilized AI for language generationThe study also found that pages using AI narrow the range of ideas and perspectives and skew more positively, though the measurable impacts on factual accuracy and writing style variation remain unclear. FlowingDataAI griefbots are controversial and could conceivably change how we mourn"Deathbots" or "griefbots" are a particularly controversial use of AI chatbots. Mourners chat with AI chatbots that generate text or even video avatars of the dead based on inputs from loved ones to theoretically provide closure and comfort. The ConversationNVIDIA named several computer chip architectures after Grace HopperUnveiled in 2023, the GH200 Grace Hopper Superchip, designed for generative AI applications in data center-scale systems, combines a Grace CPU with a Hopper GPU to create a coherent memory model. This allows the Hopper to access Grace data directly, reducing the need to repeatedly copy data back and forth and vastly improving performance. CNETAn AI-built pixel map reimagines New York City as a video gameIsometric NYC is a zoomable pixel-art map that renders the city in game-style perspective (think SimCity), helpfully clarifying the dense geography and architecture. The makers built the project tile-by-tile using satellite data and generative AI. Zoom into building-level views or out to see all five boroughs. Cannon EyedWhat do people do once GLP-1 medications succeed at weight loss?The drugs have been adopted by 1 in 8 Americans, with many achieving their prescribed weight loss. They now face the question of how to keep the weight off, the key issue with any weight loss program that researchers have known about for decades. Each case is unique. Some folks continue to use GLP-1s like Ozempic in minuscule doses, while others taper them off over time. The ConversationBlurriness in the James Webb Space Telescope's infrared imaging was fixed by AIAustralian researchers developed the Aperture Masking Interferometry Generative Observations AI algorithm to sharpen images affected by electronic distortions in the JWST's Aperture Masking Interferometer. Space.comNeural networks mimic the structure and behavior of real physical systemsEarly generative AI systems were inspired by scientific models such as the Ising model, which explains how atoms interact with one another and align in magnets. As these networks have expanded, their behavior has more closely resembled that of quantum fields, enabling them to be used in exploring complex particle physics interactions. ScienceClic EnglishSpace tourism rockets emit up to 100 times more CO₂ per passenger than airplanesRocket launches release significant amounts of water vapor, nitrous oxide, and rocket propellants, which generate greenhouse gases and air pollutants. High-altitude emissions can persist for years, affecting the ozone layer. ideas.ted.comTransformer 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 TimesMore than half of family offices have succession plans in placeThe UBS annual report on family offices found that its clients are preparing for trade wars, generative AI, and generational wealth transfers. WealthbriefingAs of 2025, ChatGPT accounts for more than half of all chatbot trafficSince ChatGPT's debut of its chatbot in November 2022, the daily use of generative AI has skyrocketed. This chart shows which chatbots are the most used around globally, from OpenAI's ChatGPT to Perplexity and DeepSeek. Visual CapitalistAI's growing energy demands are driving tech companies to consider nuclear powerBig Tech has rebranded nuclear power as a green solution to address the strain on the grid from millions of people using power-hungry AI tools. As of mid-2025, generating one image uses as much electricity as charging the average smartphone, or leaving a household light bulb on for 87 consecutive days. The ConversationAI Can Make You Laugh. But Can It Ever Be Truly Humorous?Experts consider humor a particular challenge for large language models to learn, given the skill's complex linguistic play. In an experiment, a stand-up comedian performed half AI-produced jokes, and half human-produced jokes, to no discernible difference in the audience's laughter. Undark MagazineTechnologies labeled “AI” have historically lost that title after widespread adoptionGenerative AI is the latest entry in a recurring cycle where emerging tools start as "AI" until they become common software, like databases or machine learning. Generative AI and large language models may be the next platform shift after smartphones and the Web. SuperAIExplore a 3D model of the experimental setup Rosalind Franklin used to take Photo 51To capture the X-ray diffraction image of DNA from the thymus of a calf, Franklin built a humidity-controlling camera to isolate the B form of DNA. The exposure lasted 60 hours and produced a cross pattern, indicating a helical structure. SketchfabIn defense of the advertisement economyAdvertising is frequently reviled for how it clutters up public spaces and our everyday experiences. Nonetheless, it allows for vast amounts of goods and services to be rendered free to millions of users—and gives users the option to pay with money or time and attention. The DiffListen to the 'world's first' song made by a quantum computer and AIUK startup, Moth, collaborated with electronic artist ILĀ to create the world's first song using quantum-powered generative AI. The technology has the potential to help create more personalized content based on input parameters, such as music or dialogue in games. TheNextWebHurricane conditions are created in a University of Miami wind-wave tankThe SUrge-STructure-Atmosphere INteraction Wind Wave Laboratory contains a 38,000-gallon wave pool connected to a wind tunnel that can generate air currents of up to 155 mph. SUSTAIN allows scientists to study how the atmosphere interacts with the ocean in extreme weather. PBS - Be SmartAI tools that generate images, audio, video, and 3D models rely on diffusion models, which begin with random data, such as visual noise, and gradually refine it into the requested media.While text-based AI tools rely on large language models to recognize patterns in text, diffusion models generate images, video, audio, and 3D models by adding and removing noise from a dataset. This article explores how these models use a reward system to generate media and how they can be customized to match a user’s style. NVIDIA Technical BlogTokens—numbers assigned to words and subwords—are the basic units of data that AI tools process to generate outputs that mimic language without understanding the text itself.Generative AI relies on analyzing existing data to identify patterns in text from which to make accurate predictions. However, these systems do not understand language. Instead, sentences are "decomposed" into pieces and assigned sets of numbers called tokens. This article explains how large language models use these tokens to generate natural language. MicrosoftGoogle Search incorporated AI Overviews in 2024 to fight back competitorsAnalysts believe that generative AI tools—not antitrust rulings—are Google's biggest threat because they draw users away from traditional search and potential ad revenue. AI partnerships, like the one between Apple and OpenAI, may further reduce Google's market share. ReutersIn 2024, Meta launched an AI video generator to create or edit videos through promptsThe tool puts the Meta in direct competition with OpenAI and Google as more companies are investing billions of dollars to capitalize on the explosion of public interest in machine learning and generative media technologies. Bloomberg TechnologyHow AI is revolutionizing bankingGenerative artificial intelligence has left no industry untouched, and banking isn’t an exception. Experts estimate that gen AI could add as much as $340B in value to the banking sector each year. For consumers, this involves new features to prevent fraud and customer service chatbots. This report dives into the revolution underway and seeks to define a “full stack” AI bank of the future. Read more here. McKinsey & CompanyAI 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. 1440The ease of deepfakes creation may soon overwhelm our sense of digital truthShortly after the public release of related technology in 2017, some experts saw the technical limitations of deepfakes as preventing them from becoming widespread tools of disinformation. Since then, the neural networks behind diffusion models and generative AI have eliminated the barriers to creating convincing synthetic media for propaganda. The AtlanticWatch video samples created by AISora, OpenAI's video generation tool, can create up to 60 seconds of photorealistic video footage featuring highly detailed scenes, complex camera motion, and multiple characters with vibrant emotions from a text prompt. OpenAICreate professional-quality spoken audio from textGenerative AI now makes it possible to create everything from computer-generated written content to beautiful imagery and hyper-realistic videos in seconds from a user’s simple text prompt. Add to that list: High-quality spoken audio, which the AI software company ElevenLabs specializes in. Its natural-sounding speech synthesis and text-to-speech tech can produce human-like speech that mimics a variety of different tones, styles, and accents.
ElevenLabsLarge language models are examples of foundation modelsSuch models are trained on massive amounts of data, which enable them to perform a variety of tasks, rather than being provided task-specific data to complete a narrow function. Such models come with high compute costs and potential trust issues due to the nature of their unorganized training data. IBMSee the news with AI-generated data visualizationsRealtime uses generative AI to create immediate data visualizations of news items on its regularly-updated feed, pulling from public data feeds. Peruse stories around sports, economics, politics, and more with the helpful aid of charts and graphs. See the shape of the news with this clever AI tool here. RealtimeThe human toll of the Philips' CPAP machine recall A CPAP machine is an air pressure-generating motor that forces open the airways of those with sleep apnea, a condition that causes nighttime breathing interruptions. In 2021, Philips Respironics recalled millions of machines after finding the device's sound dampening foam was disintegrating, sending potentially dangerous particles and fumes into users' lungs. The company was warned thousands of times about the foam—something they hid from the public and government. Pittsburg Post-Gazette & ProPublica Why Google is reinventing the internet searchMicrosoft and Google are now among the companies worldwide with public-facing generative AI products, which means big changes for how the world searches for information online. Both companies have integrated AI into their search products, moving away from merely surfacing a collection of links. Read this article to learn more about the impact of generative AI simply summarizing the web for users. Vox MediaChat with famous, historical, and fantasy figures with this chatbotCharacter.ai—a generative AI-based chatbot platform—allows you to have free-flowing conversations with a wide range of people. From celebrities to famous figures from the past, the platform relies on a neural language model to process huge amounts of text, learning from conversations with users to develop responses. A number of observers have referred to the platform as "making AI fun," with user time on site surpassing a whopping two hours per day. Character.aiThe basis for AI image and video generation was first introduced in 2014Through generative adversarial networks, the generator (a neural network that creates fictional data) competes against the discriminator (a neural network that assesses the data) to continuously train the former until it can make content indistinguishable from the real thing. Training with unstructured data can enable software to identify characteristics of gender, age, and expression. Arxiv Insights
Try another search?