Publishers are uncertain about the impact that AI-driven chatbots, like ChatGPT from OpenAI, have on the industry. While they may offer customized experiences and data-based insights, publishers acknowledge that this technology has limitations.
text generator, bot-written stories, AI confetti bomb, chat service, software of all kinds, Greg Brockman, ChatGPT service, general-purpose language system, obvious idea, possible future, use of the functionality, ChatGPT API, application programming interface, machine-written language, software applications, current events, magazine websites, human being, simple search engine, human-written prose, reader behavior, perceived AI gold rush, new kinds of word processors, chat app, such care, new work, type of query, generative-content widgets, ChatGPT, potential users of the ChatGPT API, API, word processor, kinds of uses, computer people, internet-famous, lot of time, red teaming, potential risks, unthinkable deluge of generative copy, requested topic.But, system of plumbing, necessary part of AI, surgical example, much more controllable model, track record, delivery apps, technology team, necessary component of ChatGPT, massive quantities, simple test, technology, TechnologyReadArchivedG/O Media's Bot-Written Blogs May Be Unreadable, But At Least They're Incorrect | Defector
Have you been curious to learn about the most valuable sports franchises in the world? Would you prefer this information to come in the form of a ranked list that is both disordered and incorrect? Are you easily spooked by the noise of a vacuum cleaner, or unfamiliar people walking by your house?
The pope didn’t actually wear that great jacket, but a lot of people were ready to believe he did.
hyperrealistic images of famous people, Mike Caulfield, photographlike images of celebrities, AI art tool Midjourney, Donald Trump’s arrest, fake-news bogeyman, past week, little nugget of internet ephemera, political contributions of the secretary of state, feeling of a dense reality, cumulative effect, pope’s Balenciaga renderings, George Soros, low-stakes news event, image of the pontiff, similar response, Last week, Pope Francis, political activists, most discerning internet dwellers, fake Trump arrest, conspiracy theories, synthetic media, images of Trump, similar programs, imaginary links, grain of reality, internet, Trump-arrest images, necessary tools, artificial intelligence, Caulfield said.For, AI tools, donation records, more ambient sense, type of tabloid-y non-news story, experience of the fakery, voter fraud, pope’s puffer, social media, visual style, different heuristics, style, good illustration of the way, stylish white puffy jacket, infancy of a generative-AI age, social-media accounts, reported news story, less concrete heuristics, local election, technology, TechnologyReadArchivedChatGPT can’t access the internet, even though it really looks like it can@simonw
A really common misconception about ChatGPT is that it can access URLs. I’ve seen many different examples of people pasting in a URL and asking for a summary, or asking …
We’ve trained a model called ChatGPT which interacts in a conversational way. The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests.
As part of its ongoing efforts to help local newsrooms integrate automation and artificial intelligence technology, The Associated Press will tackle five AI projects stretching from Michigan to Puerto Rico.
When The New York Times paywall launched , its meter count was the same for all users. Since then, The Times has transformed into a data-driven digital company, and its paywall is now successfully using a causal machine learning model called the Dynamic Meter to set personalized meter limits, making for a smarter paywall.
Jeremy Gilbert, Director of Strategic Initiatives at The Washington Post, discusses the implementation artificial intelligence tools in the newsroom, allowing human journalists to put their time into more significant reporting.
While some freelancers are losing their gigs to ChatGPT, clients are being spammed with AI-written content on freelancing platforms. The result: increasing mistrust between clients and freelancers and mounting trouble for the platforms themselves.
Until recently, Brett Schickler never imagined he could be a published author, though he had dreamed about it. But after learning about the ChatGPT artificial intelligence program, Schickler figured an opportunity had landed in his lap.
AI language models and chatbots show that AI can generate content cheaply but at a lower quality. These characteristics mean AI will remake the web as we know it — from Google Search to Wikipedia and more.
The biggestsuccess of AI in science so far is the AlphaFold 2 system. This is adeep learning system which has made large strides on a fundamentalscientific problem: how to predict the 3-dimensional structure of aprotein from the sequence of amino acids making up that protein. Thisbreakthrough has helped set off an ongoing deep learning revolution inmolecular biology. While obviously of interest to molecularbiologists, I believe this is of much broader interest for science asa whole, as a concrete prototype for how artificial intelligence mayimpact discovery. In this short survey talk I briefly discussquestions including: how can such systems be validated? Can they beused to identify general principles that human scientists can learnfrom? And what should we expect a good theory or explanation toprovide anyway? The focus of the talk is extant results and the nearterm, not the longer-term future. However, I hope it may help ingrounding an understanding of that longer-term future, and of thebenefits and risks of AI systems.
When the GitHub Copilot Technical Preview launched just over one year ago, we wanted to know one thing: Is this tool helping developers? The GitHub Next team conducted research using a combination of surveys and experiments, which led us to expected and unexpected answers.
Stephen Wolfram explores the broader picture of what's going on inside ChatGPT and why it produces meaningful text. Discusses models, training neural nets, embeddings, tokens, transformers, language syntax.
Because I was in the public eye, somebody synthesized explicit videos of me.
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Deepfake porn victims are speaking out about the lack of protections against abusers. A new bill could change things.
The moment we let artificial intelligence define what we are, we cede our last, most vital piece of turf.
Joseph Omoregbe, Joshua Pederson, Elon Musk, Geoffrey Hinton, Diego Rivera, Toni Morrison, Steve Wozniak, English, California, US, World, New Yorker, Nigerian, Arts and Entertainment, AI, Marvel, Google, Boston University, The End, Avengers, Open Forum, GPT-4, OpenAI, Hollywood, ChatGPTReadArchivedChatGPT is not ‘artificial intelligence.’ It’s theft.
Calling programs like ChatGPT “artificial intelligence” grants them a claim to authorship that is simply untrue.
How many humans does it take to make tech seem human? Millions to support OpenAI, Google, Meta, and every other major tech company. As AI becomes ubiquitous, a vast tasker underclass is emerging — and not going anywhere.