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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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How 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 FoolPeople are experiencing AI 'brain fry' at workWorkers, particularly in marketing, are experiencing mental fatigue in the workplace due to expectations—often unspoken—that they should use AI to multitask beyond their comfort levels. Many feel they are underperforming if they don't embrace this technology. This situation differs from typical burnout. This podcast discussion suggests that this "brain fry" tends to intensify when employees are required to use more than three AI tools. Hard ForkUnderstanding how Claude Code and other AI coding agents functionUnder human oversight, a supervising large language model interprets user tasks and delegates work to subordinate LLMs, which can generate code, fix bugs, and run tests, often most effectively for proofs-of-concept. Incremental backups and versioning are crucial when using such agents, which can lose details during their work as a result of compressing context history to work around memory limitations. Ars TechnicaAisha's firsthand account (or hadith) of Muhammad receiving the QuranThe hadith—or record of Muhammad's words or actions—includes an account from Muhammad's third wife, Aisha, who retells the story of Muhammad first receiving the revelation from Jibril. It's one of the most cited primary sources in Islamic tradition, and comes first in the broader Sahih al-Bukhari collection, a compilation of hadiths. SunnahAI is estimated to drive most data center power demand growth through 2030According to a report from the International Energy Agency, a typical AI data center in 2025 consumes as much electricity as 100,000 households, but the largest under construction are expected to consume 20 times as much. Global data center electricity consumption is expected to surpass Japan's total consumption by 2030. International Energy AgencyAI data center growth has created shortages and price hikes in computer partsThe parallel processing needed to power large language models for AI chatbots and other tools drove demand for high-speed graphics processing units to spike in 2025, enabling capital-rich technology companies to price out consumers. Similar demands for the computer memory used in storage drives are expected to keep shortages from easing through 2028. Ars TechnicaAI 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 GuardianAI scraping for LLM training data has significantly strained Wikipedia's infrastructureFrom January 2024 to April 2025, the site's bandwidth increased by 50% as automated bots downloaded terabytes of data for the large language models powering AI tools. The Wikimedia Foundation found that bots accounted for 65% of the highest demand requests (e.g., videos) despite representing just 35% of page views. Ars TechnicaAI is not good at understanding satireSocial media has become rife with misinformation. In response, some organizations have deployed AI-assisted programs trying to curb the spread of this inaccurate content. The problem is that misinformation and satire, rhetorically speaking, often use the same kind of language, something AI struggles to understand. Stanford UniversityExecutives at American Online wanted to shut down AIMDespite not seeing value in a service that could not be charged for, executives were pushed by the development team behind AOL's Instant Messenger to keep it free, which helped it reach 36 million active users. Screenname selection and away messages allowed users to express their individuality, and the use of emoticons sets the tone for future internet communication. The VergeA Navy messman with no gunnery training defended his ship at Pearl HarborDoris “Dorie” Miller, a Black Navy messman assigned to steward duties rather than a combat role, seized a .50-caliber machine gun aboard USS West Virginia during the attack. Despite no formal weapons training, he fired until out of ammo—becoming the first African American to earn the Navy Cross. CBS Sunday MorningAI-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 ConversationAs 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 NutshellAI 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 ForumIn 2024, US airports generated over $1B of revenue—partly due to overpriced airport foodSome in the airport industry argue that charging street prices in airport restaurants isn't sustainable because it's more expensive to run a business inside an airport. Business InsiderOne private school network prefers AI to teachersAlpha School, a private school network that uses AI tutors and human "guides" rather than teachers, is expanding across the US. Its founder says that two hours a day with AI-powered software frees students to pursue their passions. Critics, including the Pennsylvania Department of Education, say the methods are untested. NBC4 WashingtonAI 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 BrooksAI'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 is learning to be funnyExperts 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 MagazineAirborne microplastics may influence cloud formation and climateMicroplastics are increasingly found in the atmosphere and may affect the climate by reflecting or absorbing sunlight based on their pigmentation. Like mineral dust, they may become cloud seeders and alter regional precipitation patterns as they become more abundant. Yale e360The Airstream surged in a postwar road trip boomWally Byam invented the Airstream in the late 1920s, but it took off following World War II, when more affordable automobiles allowed families to venture out into an expanding network of state and national parks. Airstream enthusiasts sometimes traveled in caravans, camping in front of famous scenery, like the Pyramids at Giza. Smithsonian MagazineAI tools are trained on human-created data containing implicit and explicit biasesBecause AI tools reflect patterns in their training data, their outputs may reinforce existing societal biases—especially racial ones—rather than offering neutral or fair ones. Adequate training is necessary to undermine these biases whenever new data is incorporated. NPRUsing 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 FranciscoHow AI helped the Beatles win their eighth GrammyIt’s been decades since the legendary British rock band broke up, yet they still managed to snag a Grammy at the 2025 awards ceremony. This feat is thanks to AI, specifically machine-learning technology, to isolate and clean up different components of a late 1970s recording. This mini-documentary shows how the band's surviving members crafted “Now and Then” with the modern technology. The BeatlesWhat air travel was like between 1920 and 1960In the early days of commercial air travel, flights were short, cold, depressurized, and generally comfortable. After World War II, airlines competed for their high-end passengers by offering cocktails, meals, and plush seats, cultivating the image of the elite "Jet Set." By the 1960s, air transport was completely changing global trade and offering big profits to companies able to ship via plane. Read about the era here. Metropolitan Airport NewsAI 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 HealthWill AI kill us all? A debateAs AI becomes a bigger part of our lives, what does that mean for the future of humanity? The podcast Entanglements hosts a pessimistic former OpenAI employee and an optimistic Princeton professor to discuss whether AI brings dystopia or a brighter future. Undark MagazineAirbnb’s S-1 in 2020 revealed how it weathered the pandemic and its financialsAn S-1 or prospectus is a registration form filed with the US Securities and Exchange Commission when a company wants to go public. They can be pretty juicy documents, as S-1s can reveal previously private details about companies to the public, often for the first time. US Securities and Exchange Commission (SEC)AI-generated avatars allow users to create deepfakes in real timeSynthetic media tools can map voices and faces to make individuals appear as someone else. Although they open the door to new opportunities in immersive education and entertainment, they also raise concerns about the misuse of personal identity. TEDAI 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. 1440Watch 'Airhead,' a short movie created by Sora and post-production FXUsing OpenAI’s video-generation tool Sora, a user can create impressive, hyper-realistic video footage from a simple text prompt. This short film features a whimsical look at a balloon-headed person navigating the world. Shy KidsWhich AI chatbot is everyone's favorite?From OpenAI's ChatGPT to rivals like Elon Musk's Grok and Google Gemini, it feels like chatbots are everywhere now. Some of them, though, are newer and less-developed than others, and all of them have different proficiencies. This leaderboard has collected more than 400,000 votes to rank each chatbot in order of preference, and you can also add your own vote to the mix. Hugging FaceWhy airships are making a comeback as a cheap, fast transport solutionAirships, including blimps, have had a pretty bad reputation since the tragic incendiary crash of the Hindenburg in New Jersey in 1937. But an intense competition is ongoing between airship manufacturers looking to develop the trucks of the sky: a... YouTubeNine airplanes that transformed aviationThis infographic details nine airplane models that transformed aviation. This visual guide jumps over the dawn of modern air travel and begins with the open-cockpit biplane flown by the first scheduled airline, the St. Petersburg-Tampa Airboat Line. National GeographicCan AI revolutionize cancer detection?Scientists have developed a tool to evaluate the risk of lung cancer, the most deadly form of the disease. Named "Sybil," this AI program was trained using CT scans with clear cancer signs, followed by scans where cancer wasn’t obvious. The tool is able to review CT scan data to predict a patient's of developing a lung cancer within six years. See how it works here. Massachusetts Institute of TechnologyGenerative 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 EconomistGenerative AI, in a nutshellGenerative AI, or generative artificial intelligence, is a form of machine learning that is able to produce text, video, images, and other types of content in a matter of seconds. ChatGPT, DALL-E, and Bard are some of the better-known examples of generative AI applications that produce text or images based on prompts from users. Generative AI functions by training its software models to make predictions and create outputs based on patterns it identifies in vast amount of data. It is capable of producing content across almost every field—including academic writing and translation, composing and sound editing, infographics and image editing, scientific research, and more. Read this article to better understand how generative AI works, how it came to be, and its pros and cons. InvestopediaAirplane travels 14 hours with a hole in its sidePassengers traveling on an Emirates flight to Brisbane, Australia were stunned when they noticed a huge hole in the side of the aircraft while they were disembarking. CNNUsing AI to track plastic pollution in real timeExplore Global Plastic Watch, the first-ever, near-real-time, high-resolution map of plastic pollution. Global Plastic Watch uses advanced satellite data technology and machine learning to measure piles of plastic waste from space. Global Plastic WatchThe AI that creates any picture you want and how it worksSince January 2021, advances in AI research produced a plethora of deep-learning models capable of generating original images from simple text prompts. Researchers at OpenAI, Google, Facebook, and others have developed yet to be released text-to-image tools, and similar models have proliferated online. This video is a primer on how we got here, how the technology works, and its implications. YouTubeAI vs. machine learning vs. deep learningMachine learning is best understood with visuals. A collection of the best 9 images, videos and flowcharts that explain what it is and how it works. Data RevenueLarge 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 SpectrumModular data centers can be transported on a truck for rapid deploymentBypassing the complications involved in building larger facilities over the course of several years, such as construction costs and permits, these pre-fabricated, self-contained pods, roughly the size of shipping containers, can carry thousands of graphics processing units for small- and medium-scale AI-related tasks. IEEE SpectrumExplore Anthropic Academy, which provides courses on using ClaudeThe online courses include "Claude Code in Action," which teaches software developers how to integrate Claude Code into existing workflows, "Claude 101" to learn how Claude can be used to complete everyday tasks, and an "AI Fluency" series to help educators, instructional designers, and students learn to apply AI in academic settings. AnthropicData center power demands have delayed the retirement of coal plantsUS data center power consumption is expected to triple by 2035 to meet the growing infrastructure needs of AI platforms. Longer construction times and higher startup costs for renewable energy systems such as wind and solar have led to at least 15 coal power plant closures being postponed. Yale E360The Wrights battled inventor Glenn Curtiss for market dominance, ultimately losingTheir 1903 flights were met with skepticism, and the pair were hesitant to conduct public demonstrations. By 1908, Curtiss developed his own airplane, successfully flying a mile in front of judges and winning the nation’s first pilot license. The Wrights sued for patent infringement, sparking a business war. Mountain Home MagData 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 ConversationTransformer 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 TimesHow 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 HealthPharmaceutical companies can use ChatGPT to improve drug developmentModerna has incorporated the tool into its workflows to accelerate analysis and identify optimal drug dosage from clinical data. The company's legal team also uses a custom GPT—Contract Companion—to break down and summarize contracts quickly. OpenAI
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