
Upgrade Your Home Security With Up to 62% Off Some of Our Absolute Favorite Arlo Security Cameras
If you're looking for outside security there are a few options, but one of the best deals in this sale is the Arlo Ultra 2 Spotlight camera bundle. The cameras have 4K HDR, a 180-degree field of view, great smart home support and local storage. It's our pick for the best wireless 4K home security camera of 2025. Our biggest gripe was the price, but this deal alleviates that worry. Along with two cameras, you'll also get a SmartHub, a power adapter, two rechargeable batteries, two ethernet cables and mounting kits. This bundle would normally run you $600, but a nice 50% discount slashes that price in half so that you'll pay only $300 if you act fast.
For something with a dual function, try the Arlo Pro 3 Floodlight security camera. It has a motion-activated floodlight that can reach up to 3,000 lumens, which is great for when you get home late at night. But it will also ensure anyone in your driveway is illuminated and recorded just in case they're up to something nefarious. The camera itself has 2K resolution, color night vision and two-way audio. It's also one of our favorite options for security cameras with floodlights for 2025 and won our Editors' Choice award. Regularly priced at $250, you can get yours for just $120 at Woot.
Hey, did you know? CNET Deals texts are free, easy and save you money.
For indoor coverage, grab yourself a 2-pack of 2nd-gen Arlo Essential security cameras for $67. These indoor cameras are currently our pick for the best overall nanny cam of 2025 thanks to its 2K resolution, solid two-way audio, clear night vision and zoom capabilities.
There are some other choices available as well, so be sure to shop the entire sale selection to grab exactly what you need for your home. And don't forget -- Prime members get free shipping, too. Just be sure to log in with Amazon before placing your order.
Why this deal matters
There are a ton of great options in this sale, including some of our top picks of 2025. If you've been considering getting a home security camera (or several), now is the time. It's rare to see so many discounts saving you half the cost -- or more -- and we are fairly certain these offers will sell out quick. Lock in your order soon to avoid disappointment.
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How Long It Would Take You To Save for a $1 Million Home in Your State
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Thanks to high incomes, citizens of some of the most expensive states (such as Washington and California) can put back $1 million in just 20 years, those who live in lower-income states such as Mississippi, West Virginia and Arkansas will take on average between 35 and 40 years to save enough to afford a $1 million dream home. Median income for single person: $34,564 Yearly savings for 20% down payment: $5,670 How many years to save up down payment: 35.3 Monthly mortgage: $5,237 Check Out: Discover More: Median income for single person: $58,232 Yearly savings for 20% down payment: $9,754 How many years to save up down payment: 20.5 Monthly mortgage: $5,237 Explore More: Median income for single person: $49,118 Yearly savings for 20% down payment: $8,117 How many years to save up down payment: 24.6 Monthly mortgage: $5,237 Median income for single person: $33,475 Yearly savings for 20% down payment: $5,605 How many years to save up down payment: 35.7 Monthly mortgage: $5,237 Median income for single person: $61,846 Yearly savings for 20% down payment: $9,943 How many years to save up down payment: 20.1 Monthly mortgage: $5,237 Median income for single person: $58,970 Yearly savings for 20% down payment: $9,483 How many years to save up down payment: 21.1 Monthly mortgage: $5,237 Median income for single 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The S&P 500 is the most widely quoted proxy for the U.S. stock market, and its performance is constantly reported by the financial news. But it can sometimes be hard for investors to see the index as being composed of 500 individual stocks, rather than being a single entity. Trending Now: For You: If the S&P 500 is up 10% in any given year, for example, it's natural to assume that a stock portfolio is also up in value. But the reality is within that 10% gain, there can be a wide variety of returns, with individual stocks gaining or losing 50% or possibly even more. Over the past 10 years, most stocks in the S&P 500 have done exceedingly well, as the index as a whole posted a total return of 180.5% from June 2015 through May 2025. And while no stocks truly 'tanked' over the past decade, some did actually lose value. Against a backdrop where the overall index nearly tripled investors' money, that's essentially the same as 'tanking.' Here's a look at the unfortunate losers over the past decade, with data from Also find out the top stocks that made the most millionaires in 10 years or less. Total return over the past decade: -5.26% Total return over the past decade: -5.11% Check Out: Total return over the past decade: -2.81% Total return over the past decade: -2.76% Total return over the past decade: -2.61% Total return over the past decade: -2.50% Total return over the past decade: -2.33% Total return over the past decade: -2.24% Total return over the past decade: -2.18% Total return over the past decade: -2.12% Total return over the past decade: -1.95% Total return over the past decade: -1.93% Total return over the past decade: -1.91% Total return over the past decade: -1.39% Total return over the past decade: -0.86% Total return over the past decade: -0.96% Total return over the past decade: -1.70% Total return over the past decade: -0.14% In a 10-year period in which the overall market is screaming higher, stocks that actually lose money clearly had a problem. A number of the stocks in the above list are either real estate investment trusts or energy-related. As both of these industries underperformed the S&P 500 over the past decade, it's perhaps not surprising to see these types of stocks on the list. If those industries recover, shares of these companies should rise as well — although it will still take stock-picking prowess to sort out the winners from the losers. A company like General Mills, on the other hand, is something a bit different. The packaged foods giant has struggled mightily over the past decade, underperforming not just the overall market but its peer group of competitors, as well. This has led to a low P/E of 12.36 and a high dividend yield of 4.49%. But is this a sign of ongoing problems that will continue to drive the stock lower, or will it prove to be a value play for patient investors? Only time will tell. The bottom line is that you should always approach losing stocks with caution. It may take some level of analysis, either on your own or in conjunction with a financial advisor, to determine if a crashing stock is a value opportunity — or a value trap. More From GOBankingRates Warren Buffett: 10 Things Poor People Waste Money On This article originally appeared on 18 Mega Stocks That Have Tanked Over the Past 10 Years: What Went Wrong Sign in to access your portfolio
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AI is making everyone on dating apps sound charming. What could go wrong?
Richard Wilson felt like he had struck gold: The 31-year-old met someone on a dating app who wanted to exchange more than the cursory 'what's up.' He would send long, multi-paragraph messages, and she would acknowledge each of his points, weaving in details he had mentioned before. Their winding discussions fanned the romantic spark, he said, but when they recently met in person, his date had none of the conversational pizzazz she had shown over text. Subscribe to The Post Most newsletter for the most important and interesting stories from The Washington Post. Wilson's confusion turned to suspicion when his date mentioned she used ChatGPT 'all the time' at work. Rather than stumbling through those awkward early conversations, had she called in an AI ringer? Dating app companies such as Match Group - which owns Hinge, Tinder and a slew of other dating apps - say AI can help people who are too busy, shy or abrasive to win dates. But a growing number of singles like Wilson are finding that the influx of AI makes dating more complicated, raising questions about etiquette and ethics in a dating landscape that can already feel alienating. With AI helping everyone sound more charming - and editing out red-flag comments before they are uttered - it's harder to suss out whether a potential partner is appealing and safe, said Erika Ettin, a dating coach who has worked with thousands of clients. 'Normally, you can see in the chat what kind of language they're using. You can see if they jump to sexual stuff quickly and how they navigate conversations with strangers in the world,' Ettin said. 'When some bot is chatting for them, you can't collect those data points on that person anymore.' With nearly a third of U.S. adults saying they have used dating apps and the majority of relationships now beginning online, dating companies are keen to find how cutting-edge AI can bolster their business model. Hinge has added AI tools that read users' profiles and skim through their photos, suggesting changes and additions that theoretically boost their chances at a match. Tinder uses AI to read your messages, nudging you if it thinks you have sent or received something distasteful. And apps such as Rizz and Wing AI help users decide what to say to a potential date. Amanda Gesselman, a psychologist at the Kinsey Institute, said her research with Match Group suggests that a significant chunk of singles use AI to 'enhance their dating lives.' Gesselman said the tech could help people who struggle to navigate the tricky process of swiping, matching, chatting and setting up dates. But she acknowledged the features come with ethical complications, and she struggled to articulate when using AI is acceptable and when it's deceitful. 'People will use AI to alter their photos in ways that aren't necessarily achievable for them, whereas when you use it for messages, you're using it in a way that is amplifying yourself and your ability to have conversations,' Gesselman said. Dating app design already encourages behaviors that make courtship feel impersonal, some users say. Certain eager singles swipe right on every profile, maximizing their chances of getting a match. Others ghost, cutting off communication after a bad date rather than officially breaking things off. And many try to manipulate dating app algorithms, saying 'no' to partners they are attracted to in an attempt to signal to the algorithm that they are choosy and desirable. Eve Tilley-Coulson, a lawyer in Los Angeles, runs a side business in which she logs in to Hinge users' accounts and swipes on their behalf, playing the algorithm to their advantage. For users already frustrated by dating apps, conversational AI features are unlikely to sit well, Tilley said. When Hinge's AI prompts her customers to write more detailed answers in their profiles, for example, some worry that the app is collecting extra data for nefarious purposes, she said. Match didn't comment about data collection. In Tilley's view, AI features will, at worst, be weaponized against users to keep them swiping and paying. At best, they will nudge users toward more uniform answers and conversations, since generative AI tends to reference ideas and conversations it has seen before. Match Group spokeswoman Vidhya Murugesan said the company's algorithms are designed to funnel users toward in-person connections and get them off the apps. 'As we integrate AI into our products, we're prioritizing authenticity, transparency, and safety, ensuring these tools enhance the user experience and help foster more of these connections,' she said. If AI suggestions have a cooling effect on some dating app conversations, that's not always a bad thing, according to Yoel Roth, Match Group's head of trust and safety. Match uses AI to read users' messages and prompt them if they're about to send something potentially offensive, abusive or weird. Senders are asked, 'Are you sure?' and given an opportunity to rephrase their message. About 20 percent of people who get this prompt choose not to send the original chat, Roth said onstage at an AI conference in June. Recipients might also get a 'Does this bother you?' prompt if Match's AI perceives a message to be potentially harmful, Roth said. 'A lot of what we're thinking about as we're building apps that help people connect is: How can we use AI to improve that experience, both to make it safer and more authentic and but then also to maybe round out some of the rough edges that make it more challenging for people to meet each other and express themselves?' Roth said. Those 'rough edges' can hobble some daters who don't have a way with words, said Roman Khaves, co-founder of the app Rizz, which bills itself as an AI-powered dating coach. Users can upload screenshots of their dating app conversations into Rizz and ask for tips on what to say next. 'AI is helping people be a little more confident in themselves and giving them that charisma,' he said. 'There's a lot of great guys out there that are not great texters, and Rizz is helping all those great guys get seen.' Social norms around when and how it's appropriate to use AI are developing slower than the technology itself. In the workplace, where the goal is to efficiently get things done, outsourcing to AI is less ethically complex than on dating apps, where the goal is to reveal your true self, said Giada Pistilli, principal ethicist at AI company Hugging Face. The more we rely on AI to facilitate our emotional connections, the less we're able to express ourselves genuinely, she said. 'While we lack formal regulations, we do have strong moral intuitions about authenticity in intimate relationships,' Pistilli said. 'Consider how a love letter loses practically all its emotional impact once we learn it was entirely AI-generated rather than coming from the heart.' People also want to know that when they open up to someone new, the other person is also showing their true self, said Kathryn Coduto, a professor of media science at Boston University who studies dating apps. 'If you put yourself out there but the other person is so disconnected that they're layering AI in, it feels like a mismatch.' After meeting the woman he suspected of using ChatGPT to message him, Wilson set up a second date. Maybe with more time, he figured, he would get a glimpse of her true personality. But he didn't like what he saw. Though he never learned for sure whether she had relied on a chatbot, the bad date made Wilson feel resentful of AI and exhausted with dating apps, he said. If this woman had been forced to write messages herself - without help from ChatGPT or Hinge alerts stopping her from sending potentially weird messages - maybe he could have determined earlier that they weren't a good pair. They had exchanged messages for weeks, Wilson said. But who had he really been talking to? 'It's almost like we never even spoke.' Related Content The Met opens a dazzling wing of non-European art Appeals court seems likely to back Trump's deportations under wartime law Supreme Court ruling on care for trans minors reopens other cases