Technology
5 AI terms you keep hearing and what they actually mean
Whether it’s powering your phone’s autocorrect or helping someone create a new recipe with a few words, artificial intelligence (AI) is everywhere right now. But if you’re still nodding along when someone mentions “neural networks” or “generative AI,” you’re not alone.
Today I am breaking down five buzzy AI terms that you’ve probably seen in headlines, group chats or app updates, minus the tech talk. Understanding these basics will help you talk AI with confidence, even if you’re not a programmer.
Stay tuned for more in this series as we dive deeper into privacy-related tech terms and other essential concepts, answering the top questions we get from readers like you.
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Visual Illustration of AI (Kurt “CyberGuy” Knutsson)
1. Artificial intelligence (AI)
The big umbrella term
Artificial Intelligence is a broad term for computer systems that can do tasks normally requiring human intelligence. That includes understanding language, recognizing images, making decisions and even learning from experience.
You’re using AI when:
- Your email suggests replies
- Your phone transcribes your voice
- Netflix recommends what to watch next
Think of AI as the category; everything else on this list is a branch of it. It’s the foundation for all the smart tools we use today, from voice assistants to facial recognition. As AI continues to evolve, it has the power to make everyday tasks easier, faster and more personalized. But as it becomes more embedded in our lives, understanding the basics is key to using it wisely and protecting your digital autonomy.
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2. Machine learning (ML)
How AI learns patterns
Machine Learning is a type of AI that learns from data instead of being explicitly programmed. It improves over time by finding patterns and making predictions.
For example: You like action movies. You watch a few. Over time, the algorithm learns your preferences and recommends similar titles, even if you didn’t say anything directly.
Common uses of ML:
ML is how AI “gets smarter” by itself, and it’s a big part of how tech becomes more helpful and intuitive. From catching suspicious charges on your credit card to curating your favorite music, machine learning can make life more seamless and even safer. But as with any technology, it’s important to stay aware of how your data is being used and who’s doing the learning. The more we understand how it works, the better we can decide how and when to trust it.
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3. Neural network
The tech that mimics your brain
Neural Networks are a special kind of machine learning designed to mimic how the human brain works, at least loosely. They’re made up of layers of “neurons” that process data and make decisions.
They’re particularly good at recognizing complex patterns, like identifying faces in photos or translating languages.
Use cases include:
- Face ID unlocking your phone
- Speech-to-text apps
- Translating text in real time
If AI is the brain, neural networks are the brain cells doing the work. Neural networks are the part of AI that actually processes information. They’re designed to mimic how human brains work, taking in data, learning patterns and making decisions. So, when AI recognizes a face, writes a sentence or makes a suggestion, it’s neural networks making that happen behind the scenes.
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Illustration of humans and machine learning (Kurt “CyberGuy” Knutsson)
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4. Generative AI
AI that creates, not just predicts
Generative AI doesn’t just analyze data, it creates new stuff: text, images, videos, code, music, even voices. It’s trained on huge amounts of content and learns how to generate something new that mimics the original.
You’ve seen it in action if you’ve used:
- ChatGPT or similar bots to write messages
- AI art generators like Midjourney or DALL·E
- Auto-generated captions or social media copy
It’s like giving a machine a vibe and watching it invent something that fits. Generative AI is creative, fast and sometimes uncannily realistic, which is what makes it both exciting and a little unsettling.
Think you can tell the difference?
Be sure to play my game to guess which photo is AI and which one is real. It’s harder than you think and a good reminder that as these tools get more advanced, staying alert and informed is more important than ever.
WHAT IS ARTIFICIAL INTELLIGENCE (AI)?
Find the fake kitten. (Kurt “CyberGuy” Knutsson)
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5. Prompt
The magic words that make AI work
A prompt is the input you give to an AI system, usually a question, command or description. It’s how you talk to tools like ChatGPT or image generators.
The better your prompt, the better the result.
Examples:
- “Write a birthday message in the style of Shakespeare”
- “Create a recipe using only chickpeas and chocolate”
- “Make an image of a robot drinking coffee in Paris, 1920s style”
Prompts are to AI what questions are to Google, but with more creativity and conversation. Unlike a search engine that simply points you to existing content, AI can generate entirely new ideas, images and text based on what you ask. It’s more than a search box; it’s a creative tool. Whether you’re drafting a story, designing a logo or planning a vacation, learning how to prompt effectively lets you tap into AI’s full potential as a collaborator, not just an information source.
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Kurt’s key takeaways
You don’t need a computer science degree to understand AI, just a few solid definitions. From machine learning and neural networks to generative AI and prompts, these tools are no longer reserved for tech labs; they’re becoming part of your everyday life. Whether it’s helping you write an email, organize your photos or get dinner ideas based on what’s in your fridge, AI is already working behind the scenes to make life a little easier (and sometimes a lot more interesting).
Now that you’ve got the lingo down, you’ll be better equipped to navigate the AI-powered world with confidence and curiosity.
Want to go deeper? Interested in how AI can improve your daily routine or looking for creative prompt ideas to get the most out of tools like ChatGPT? Let us know by writing us at Cyberguy.com/Contact.
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Technology
It’s amazing how good Alienware’s $350 OLED monitor is
I’ve recommended several OLED gaming monitors to readers over the years, and I’ve finally taken my own advice to buy one. Alienware’s new 27-inch 1440p QD-OLED has all the features that I want and a low $350 price that was too tempting to ignore.
The AW2726DM model has five things that make it stand out for the price: a 1440p QD-OLED screen with lush contrast, a fast 240Hz refresh rate, a semi-glossy screen coating to enhance details, a low-profile design without flashy RGB LEDs, and a great warranty (three years with coverage for burn-in).
I’ve been using Alienware’s new monitor for a couple days, and I’ve already spent hours with it playing Marathon. It was my first opportunity to see Bungie’s new first-person extraction shooter in its full HDR glory, and I can never go back. Switching on HDR wasn’t automatic, though it already looked so much better than my IPS panel without being activated.
Enabling it transformed how Marathon looked for the better, but made everything else about the OS look pretty washed-out. It’s a Windows issue, not an Alienware issue. It’s easy to enable HDR every time I launch a game and disable it afterward with the Windows + Alt + B keyboard shortcut, but unfortunately triggers HDR for all connected displays. This includes my IPS monitor that imbues everything with a terrible gray hue when HDR is on. So, using the system settings is the best way to adjust HDR for just the QD-OLED.
I landed on this QD-OLED after having spent a ton of time researching pricier models. The unanimous takeaway from reviewers was that LG’s Tandem RGB WOLED panels are some of the brightest out there, but also tend to exhibit lousy gray uniformity in dark scenes. QD-OLED monitors, on the other hand, offer slightly better contrast than WOLED and don’t suffer from those same uniformity issues. However, blacks sometimes appear as dark purple in bright rooms on QD-OLED panels, meaning they’re ideal for rooms that don’t have a bunch of light bouncing around.
There’s no perfect choice, and honestly I got tired of doing research, so I jumped in with the cheapest OLED. I’m glad that I did. Shopping for an OLED gaming monitor can be hard, but it can also be this easy. AOC makes a model that’s discounted to $339.99 at the time of publishing, and its specs are comparable.
As expected, the AW2726DM isn’t a cutting-edge monitor. Its QD-OLED panel isn’t as fast or as bright as some other pricier options, and it doesn’t have USB ports for connecting accessories. Considering its low price, it’s easy for me to overlook those omissions. I’d have a much harder time accepting them in a pricier display.
The fact that I mostly use my computer for text-based work at The Verge is what prevented me from upgrading to an OLED monitor. My 1440p IPS monitor is bright, it’s good at showing text clearly, and it has a fast refresh rate for gaming. Alienware’s QD-OLED is less bright, and some might be bothered by how text looks (I have to really squint to see the slight fringing from this QD-OLED’s subpixel layout). But I have a life outside of work, which includes playing a lot of PC games. That’s the slice of myself I bought this monitor for, and I’m so happy I did.
Photography by Cameron Faulkner / The Verge
Technology
Michael and Susan Dell surpass $1 billion in donations backing AI-driven hospital project
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Billionaire Michael Dell and his wife, Susan Dell, have become the first donors to give more than $1 billion to the University of Texas at Austin, funding a massive new medical research campus and hospital system powered by artificial intelligence.
The couple’s latest investment includes a $750 million gift to help build the UT Dell Medical Center, a planned “AI-native” hospital expected to open in 2030 as part of a more than 300-acre advanced research campus.
University officials said the project will integrate research, clinical care and advanced computing to improve early disease detection, personalize treatment and expand access to care in the rapidly growing Austin region.
The Dells’ support builds on decades of contributions to UT, including funding for its medical school, scholarships and research programs.
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Michael Dell and Susan Dell attend the Breakthrough Prize ceremony as they become the first to donate more than $1 billion to the University of Texas at Austin. ( Craig T Fruchtman/WireImage)
“By bringing together medicine, science and computing in one campus designed for the AI era, UT can create more opportunity, deliver better outcomes, and build a stronger future for communities across Texas and beyond,” Michael Dell and Susan Dell said.
The gift ranks among the largest in the history of higher education, alongside major contributions like Phil Knight’s $2 billion pledge to Oregon Health & Science University and Michael Bloomberg’s $1.8 billion donation to Johns Hopkins University.
The new UT Dell Medical Center will be developed in collaboration with MD Anderson Cancer Center, integrating cancer care into a system designed to connect prevention, diagnosis and treatment.
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The University of Texas at Austin campus at sunset. (iStock)
“We will deliver better outcomes for patients by providing research-driven cancer care that is precise, compassionate and hope-filled,” Peter WT Pisters, president of UT MD Anderson, said.
Officials said the facility will be built from the ground up to incorporate AI, rather than retrofitting older infrastructure — an approach they say could transform how hospitals operate.
Independent experts have cautioned that AI in health care can introduce risks if not carefully validated. A widely cited study published in the journal Science by researchers at the University of California, Berkeley and the University of Chicago found that a commonly used healthcare algorithm underestimated the needs of Black patients due to biased training data, highlighting broader concerns about equity in AI-driven systems.
The project also includes funding for undergraduate scholarships, student housing and the Texas Advanced Computing Center, where officials are developing one of the nation’s most powerful academic supercomputers.
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Artificial intelligence technology is expected to play a key role in diagnosis and patient care at the planned UT Dell Medical Center. (iStock)
Texas Gov. Greg Abbott said the investment will help position the state as a national leader in healthcare innovation.
“Texas already dominates in technology, energy and business, and now we will further cement our leadership in health care innovation as well,” Abbott said.
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The university said it plans to break ground on the medical center later this year and has launched a broader campaign to raise $10 billion over the next decade.
The Associated Press contributed to this report.
Technology
SpaceX cuts a deal to maybe buy Cursor for $60 billion
SpaceX and Cursor are now working closely together to create the world’s best coding and knowledge work AI.
The combination of Cursor’s leading product and distribution to expert software engineers with SpaceX’s million H100 equivalent Colossus training supercomputer will allow us to build the world’s most useful models.
Cursor has also given SpaceX the right to acquire Cursor later this year for $60 billion or pay $10 billion for our work together.
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