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That Weird 'Other' Section in Apple Stores Is Reportedly Being Revamped for a New Line of Home Products

The "Avenues," as they're apparently known, reportedly must be revamped to introduce consumers to a whole new device.

Aug 23 • 3:20 PM EDT • Technology • gizmodo.com

This weird real-life exploit is discounting Switch game prices and causing... bananas to sell out?

Gaming is not a cheap hobby in 2026. Needless to say, most gamers are generally happy when they're able to stumble on discounts.Users on Reddit have apparently discovered a bizarre real-life hack that can potentially cut the price ...

Sep 21 • 12:50 PM EDT • Technology • eventhubs.com

"We felt that fans were getting a bit desensitised to the violence" Gears of War: E-Day devs made a "big investment" in gore, and weirdly, it works

"Brutality is a pillar of this game," says studio art director Aryan Hanbeck at The Coalition.

Oct 3 • 5:00 AM EDT • Technology • eurogamer.net

For The First Time, Scientists Have Looked Inside Living Antarctic Cells And Found Incredible Adapations

Antarctic dwellers are wonderfully weird, and it shows in their cells.

Sep 23 • 12:36 PM EDT • Science • iflscience.com

NPR gives Weird Al the respect he deserves.

Plenty of incredible artists have stepped behind the Tiny Desk at NPR’s DC headquarters, from Juvenile and T-Pain to Soul Glo, Tyer the Creator, and even the cast of Sesame Street. But Weird Al Yankovic has now joined the illustrious list of performers invited back for multiple sets. [Media: https://youtu.be/o4I-Y8XiBIs]

Aug 20 • 9:24 AM EDT • Entertainment • theverge.com

Australia’s humpback whales were acting weird. What happened next surprised scientists.

A citizen science project uncovers a new humpback whale calving ground around the Great Barrier Reef.

Sep 6 • 10:10 AM EDT • Science • popsci.com

Some of NC’s weirdest and worst political ads probably aren’t on your TV

We’ve all seen the ads in North Carolina’s U.S. Senate race, but they aren’t the only memorable ads airing right now. | Opinion

Oct 4 • 5:00 AM EDT • Politics • charlotteobserver.com

20 Famous Things Photographed From Angles That Feel Weirdly Illegal To Look At

Aug 23 • 8:31 AM EDT • Technology • uk.style.yahoo.com

Weirdly Fascinating Science Facts That Will 100% Break Your Brain

I'm gonna need a good business day or two to process these.

Sep 7 • 12:01 PM EDT • Technology • aol.com

I’ve Taken a Necessary Measure to Protect Myself During Sex. Uh, It’s Going to Be Hard to Explain.

I've already gotten weird looks.

Oct 21 • 1:30 PM EDT • Technology • slate.com

'Forgotten Island' review: DreamWorks delivers an epic adventure for weirdos

Plus, Dave Franco in the oddball role he was born to play.

Sep 24 • 5:00 AM EDT • Entertainment • mashable.com

Bose Is Buying Skullcandy. It’s Not as Weird as It Sounds

By keeping Skullcandy in Park City, Utah, Bose is betting that skate cred and budget pricing will reach listeners it’s been missing.

Oct 21 • 4:15 PM EDT • Technology • wired.com

Weird Cowboys-Steelers connection grows deeper with Porter trade

The Cowboys and Steelers are supposed to be forever rivals, but they are now the NFL's new odd couple when it comes to recent trades.

Oct 1 • 10:00 AM EDT • Sports • sports.yahoo.com

Scientists Spotted an ‘Alien’ Object on the Ocean Floor. The Reality Is Even Weirder.

The deepest, most remote parts of the ocean still remain alien to our eyes.

Aug 19 • 2:00 PM EDT • Science • yahoo.com

Scientists Thought Venus Was Too Acidic for Complex Chemistry. It May Actually Be Weirdly Hospitable

MIT researchers recreated a Venus-like stew of 98% sulfuric acid to test complex signaling molecules, like peptides, in the lab. Looks like they passed.

Sep 28 • 9:45 AM EDT • Science • gizmodo.com

Trump Tells Weird Lie About Where He Was on 9/11

At an event honoring first responders, Trump claimed he was carried away from Ground Zero by firefighters, which didn’t happen.

Sep 8 • 4:02 PM EDT • Politics • nymag.com

Luka Doncic says ‘it feels great’ in Lakers’ weird media day without LeBron James

Things felt different at Lakers media day. Their megastar over the last eight years was nearly 3,000 miles away, talking about trying to win a championship in Philadelphia. It was...

Sep 28 • 8:05 PM EDT • Sports • sports.yahoo.com

Meta glasses are a workplace menace

“Pervert” glasses are making jobs weird and putting workers on edge.

Aug 20 • 8:00 AM EDT • Technology • theverge.com

Sundar Pichai: Google’s Frontier Imperative, Compute Scarcity Dilemmas, Future AI Products and Businesses

Alphabet CEO Sundar Pichai has little patience for doubts about Google’s willingness or capacity to compete at the frontier of AI. His company’s latest Gemini 4 Argon model — long-promised and recently delivered — beats OpenAI and Anthropic’s latest public models on coding, math, science, and knowledge-work benchmarks and has placed Google’s AI back among the world’s best. Amid chatter that Google was fine with good-enough lightweight ‘Flash’ models, Pichai pushed back hard against any suggestion that company is limiting its research ambitions. “We won’t do it any other way,” he told me in a Big Technology Podcast interview recorded this week at Google’s Mountain View headquarters. Pursuing cutting-edge research is costly for Google, requiring compute and chips that otherwise could be sold at a high markup by its cloud business. But Pichai said allocating resources to frontier AI development is “ground zero” for Google. “Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development,” Pichai told me. In our conversation, we discussed Argon (which Pichai says processed three times as many tokens as Gemini 3 in the 72 hours after launch), AI’s role in developing better models, the AI interface of the future, competition with OpenAI, Google’s partnerships with Anthropic and Apple, data centers in space, and the nature of his optimism. You can read the full conversation, lightly edited for length and clarity, below, or listen to it on Apple Podcasts, Spotify, YouTube, or your podcast app of choice. Alex Kantrowitz: Google is back at the frontier with Gemini 4 Argon, which beats OpenAI’s and Anthropic’s public models on benchmarks spanning coding, math, science, and knowledge work. The conventional wisdom was that Google had given up on the frontier to focus on fast, good-enough models for its products. That was wrong? Sundar Pichai: Very wrong. Look, we are so committed to being at the frontier. It’s in our DNA. We won’t do it any other way. We’ve been thinking about the AI frontier for well over a decade now. The frontier is very dynamic. It’s very competitive. It’s very exciting. I couldn’t be more pleased with how Argon has come together. We took our time with it. We made sure we tested it safely and deployed it carefully. We took a bit longer than our other models, given its capabilities. Across the board, be it for agentic work, knowledge work, coding, creative tasks, Argon is one of the really good frontier models. The first 72 hours since we launched, it’s almost up to 25 trillion tokens used, which is about three times what Gemini 3.0 had in the first 72 hours. And we are capacity constrained as we are serving it. Excited, but there are always areas….. You know, the frontier is very dynamic, and you have to keep evolving the models. There are areas which we can see we need to improve as well. We’ll be at work on all of that as well. Which areas? On any given model, Argon would be across the board better at everything if you just look even two months back. But the space is so evolving. Even on coding, for example, there are pockets where we know we need to do better, and there’s clear feedback. We’ll make it better. The argument for standard models is that they’re already good enough to build great products, with the frontier valuable only for certain tasks. Meta built Muse with good models rather than the best, and Google could put standard models into Maps, Gmail, and Search. Why isn’t that sufficient? It’s definitely not how I have thought about it at all. We are deeply committed to driving the state of the art and actually pushing where this technology can go, all the way from transformers. That’s a journey we’ve been on. You will see us continue to do that. When you’re at the frontier, you get an earlier look into the emerging capabilities, earlier than others, which helps you better prepare for the future. We are fortunate to have a wide set of opportunities across consumer and enterprise. Some of our cloud customers, for sure, want the model at the frontier. The frontier models will be better at developing the next set of models in an era of recursive self-improvement. I would argue it matters there. Internally, we have definitely seen a steep point of inflection by deploying Argon to our developers. It definitely tackles problems which our previous models could not do. Being at the frontier puts you at the innovation frontier and helps you drive that as well. There is room for models of all sizes and capabilities. That’s why we did Flash, Flash-Lite, etc. I agree with you that you can develop very good product experiences with not necessarily the most frontier model, because they tend to be slower and more expensive too. But we care about the Pareto frontier, and we’re committed to doing all of that. You said developing frontier models gives you a look at what’s coming. What do you see on the horizon? What makes this moment so exciting is you build something which you think is a culmination of months of work, and you put it out. You already see clear headroom ahead. We’ve all been working on these agentic, long-horizon capabilities, but clearly the frontier is going to have multiple of these agents working together to do things. That’s an example of an exciting paradigm underway. It’s also clear to me that users, both in consumer and enterprise, will have access to some multi-agent framework for them, working all the time doing things. It feels like a moment of infinite possibilities. Sergey Brin said one of Argon’s core innovations was relying more on the model to help develop the model. Yet incidents involving OpenAI’s bots breaking containment and Google’s bots accessing a site they shouldn’t have suggest these systems still aren’t perfectly aligned. Isn’t there reasonable cause for concern about accelerating toward recursive self-improvement? There are three parts to your question. Let’s first talk about RSI itself. You’re right, Sergey mentioned RSI being a critical contributor as we are developing Argon. But to be very clear, today, in a continuum, we are pretty far from the end state of RSI or something like that. The right way to describe it is you have RSI loops along with AI researchers in various aspects of model development. You almost have agents helping AI researchers in some automated way work together to build these models. It’s good to at least understand where we are today, and it’s super exciting. I expect that continuum to keep making progress as we go into next year. The second question is around safety. Security comes from defense in depth. You’re talking about alignment, obviously. We all are doing a lot of work to make sure the models are as aligned as possible. But it’s an active area of research, and there are clear gaps. That’s not the only thing we rely on. You have the work you do on alignment, but beyond that, we put a lot of effort into real-time monitoring as these models are working. Making sure you have good telemetry into what’s happening so that you can intervene in real time if you see unexpected behaviors. How you do that, the architecture with which you do that, how you make sure it’s all sandboxed and isolated in a way that it can continue doing its job during real-time monitoring — these are all areas of investment. Obviously, when we deploy these models, giving customers, enterprises, control, both with real-time monitoring, but their ability to decide where they deploy, what type of data which models ever have access to, etc. All that work is very, very important, and we are doing a lot of that. As an industry, we need to constantly up our game and take the time to do all this stuff, including dedicating the compute required to make sure you can safely deploy these models. The third part is: Is it all enough? This is why there are a lot of conversations in the industry, and I think it’s reasonable to be worried. The right way to approach something you worry about is early on thinking about what more we can do. As an industry, you’re definitely seeing increased levels of work on alignment, testing for safety, etc., as we deploy these models. The next step would be developing better standards so there are cross-industry standards of how we do these things, including the ability to evaluate using independent evaluators. If you look at areas like financial controls, we have accounting standards, we have independent auditors. Those are all the next natural steps for us as an industry to work toward, and regulation will end up playing a role as we go through all of that as well. Google pursues both language models and world models, while some other AI companies like OpenAI have focused more heavily on LLMs as the path to AGI. Why is world-model research important to you? As humans, you obviously perceive the world around you, and you’re taking all those inputs. Making sure these models are able to understand the laws of physics, simulate the world in high fidelity. All that, I think, are key enabling blocks for intelligence. We are working across all possible applications of this. Take an area like robotics. It’s not an accident: If you look at embodied reasoning benchmarks, Argon is state of the art. That all comes from our experience building world models. Inherently, I would expect there will be architectures which will converge all of this in the future. But for us, we view this as, today, this jagged frontier that is intelligence. We want to be at the frontier of all the possible approaches, and that will help us both drive better research, better insights, and develop a much better AGI model, is how we think about it. Some people argue Google should focus on selling its computing resources rather than using them for AI research. Cloud wants to sell compute at a high markup, while researchers need a very big computer to build the best models. How do you balance those demands? Ground zero for us is making sure we are investing in the compute that’s needed to be at the AI frontier. In 2015, I set the company to be AI-first. AI is that key horizontal ingredient across everything we do, all the way from Search to Cloud to Waymo. That is ground zero for us, making sure both for research and developing the models that we have enough compute needed. Beyond that, we have these independent businesses which each have their own long-range plans. They’re using those long-range plans to project forward, and we plan for compute for all of them. The cloud team, they have a business and they have a projection and they have demand signals. They have committed contracts. With that help, we can plan on a long-term compute trajectory for them. We’re fortunate to have this wide set of opportunities. There’s no company in the world which isn’t making trade-offs at any given moment in time. But the first principles we operate on is making sure we have enough compute to invest in the frontier, and that’s non-negotiable, and everything else works on top. Remember, we are building our own compute, our own data centers. There are long lead times. The compute we have today is a function of decisions I made in 2024. Even if you think back to a year from today, last year the agentic coding takeoff hadn’t happened. Today, obviously, when you sit and look at anything, everyone is short—not just us, other companies—and everyone wishes you had two times what you had planned for. That comes with the territory. At any given moment in time, we are planning for what we would need two to three years out in the future. You’re going to find some decisions you make may look suboptimal two years out, depending on where the state of the art is. I don’t spend too much time thinking about it. The way I think about compute allocation is making sure Google DeepMind, both for research and frontier model development, is cutting edge in terms of compute access. After that, we plan for all our businesses. It’s great we can provide our compute to other people too, like we have done. It allows us to scale that up, get real tests for it in the widest application set possible, test it in the real world, and make sure we are at the cutting edge of technology at every layer of our AI stack as well. Ben Horowitz relayed on a podcast that Andy Jassy had said compute was sold out until 2028. Are you seeing the same thing? If today a customer is coming out and asking us for compute in ’27, that is incredibly difficult to do. Even last year we went out and leased some short-term compute to accommodate some customers and help them out. But yes, we are all dealing with similar timelines. Every major technology shift seems to involve overbuilding, from railroads to fiber. Do you think that’s happening here? It depends on the time frames you’re looking at. This level of build, if I take a long enough time frame, it makes complete sense to me. We are at early stages of the most consequential technology ever, and this is not like fiber. It’s not dark. We are using it. We are capacity constrained on a daily basis. The applications, the underlying technology is improving rapidly. But running a company, the way I work through the moment is you look at your demand signals. You look at your committed revenue opportunities that you’re getting in the form of contracts. You balance that with the underlying technical capability, or internally you balance how we are using it internally, the model trajectories. Based on all that, you take a disciplined approach—a confident, aggressive, but disciplined approach—to plan out compute. But when you talk about the broader economy as a whole, you’re having people operate with various levels of risk. I focus on what I can control as a company and plan through it. If your question is, can there be an overbuild? Yes, because you can have some constrained components. Remember, what matters is a set of everything you need to build out that compute. Memory, electricity, electricians…. Land. Like 2,000 components or more. You could get constrained at some point. There could be things which cause bottlenecks, and then you could have overbuilds. There could be external shocks to the economy. There are macro risks. All that is possible at any given time. But am I confident that the compute we are planning for, we will have uses for it given enough time? Absolutely, yes. I was in the room when you said AI would be as profound as fire and electricity. If you believe that, shouldn’t you give researchers the biggest possible computer, even at the expense of today’s cloud profits? We’re all doing some form of that. Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development. What you’re seeing is true already. But you want to be thoughtful. Even our AI researchers have some constraints, which are also good. That’s what inspires creativity. That’s what helps you come up with a more efficient algorithmic breakthrough, maybe to use less memory. What we are committed to is to invest what’s needed to stay at the frontier. OpenAI President Greg Brockman told me a few months ago that the ideal AI product might have no interface at all—just as natural as conversation. What do you think the interface looks like in the age of AI? Computing historically has been humans adapting to computing. With AI, it’ll be the other way around. The technology will adapt seamlessly to how humans live and go about their day-to-day life. You want to be able to speak to that AI when you want to. It has context. It can be persistently running somewhere, give you continuity. You’re not dealing with a lot of complexity. It’s natural. All that makes sense to me. That doesn’t mean it won’t have any interface, however. Nowadays, even on my phone, Gemini voice models are so good. I can just press the microphone button. I can just ramble. That’s why we call it Rambler. I can ramble. It intelligently corrects with my personal context. Even my friends’ names, weird names, it gets it right, even if it first guesses it wrong. It’s amazing. I’m not going in, backspacing, editing once I finish saying it. It’s remarkable how good it’s gotten. But there are going to be moments you will need an interface. You may want to entertain yourself. You may want to watch a video. You may ask your AI to create something, and you want to watch it, consume it. The way I think about it is, you want it to be as seamless and as natural as possible, and that you are not doing the hard work adapting to whatever the interface is. The technology is adapting to how you’re working at any given moment in time. When I asked Sam Altman about competition from Google, he argued that OpenAI was building AI-native products and implied Google was bolting AI onto existing ones. Do you accept that framing, and can a “bolt-on” compete with an AI-native product? First of all, it’s a very dynamic moment. We are all pushing each other. OpenAI has pushed us as a company too. This is not just we are doing something to them. Far from it. Yes, Google went into its own version of a code red too. In the AI moment, all of us have to respond with varying levels of urgency at any given moment in time. We are constantly building new products as well. Gemini was built from the ground up as a product—the Gemini app I’m talking about. Or tomorrow, as all of us are adapting to agents, are you bolting agents onto ChatGPT, or are they building it natively? How would you think about that? You can always put these questions back. I don’t think of it that way. I think of it as you want to build world-class product experiences that are AI-native and they are winning. Some of it is adapting products, some of it is rethinking new experiences. They will all be part of how you approach this moment. How do you expect to make money from these AI interfaces? If an agent recommends a product and I buy it, should it take a cut of the sale, even if that’s disclosed? I’m going to put enterprise aside. Consumers are going to increasingly value this technology. Take software developers today. Developers are willing to pay for these coding models because it really helps make them more productive. Nobody would want to code the way they were coding three years ago, or even the same time last year. When you’re delivering value, there’s value to be had. I’ve never seen examples where consumer products really scale to billions of users, where people are using it intensely, and haven’t had monetization to go along with it. If you’re providing value to people, there is inherent value to be had. The nature of it may change. You’re asking a scenario in which agents are doing stuff for you. At the end of the day, you will have commercial needs. The agents need to fulfill those commercial needs. The providers on the other side are going to see value in that. There’s going to be some mechanism by which it gets fleshed out. That’s what an efficient system does. But what matters is that you’re building those world-class consumer experiences. I promised myself one product feature request: Can you make Gemini-powered search in Gmail as good as searching Gmail through ChatGPT? What’s going on here? One of the exciting things we announced recently is the unified Gemini agent for enterprise, and we’re bringing that to consumers. These are persistent agents which run 24/7 in the cloud. We’re spinning up a micro VM effectively for every query, and from the runtime, the harness, the model—it’s all a headless service. It’ll work everywhere, and it has your context with you. You can address this agent whether you’re in Workspace, in Search, in Gemini. Agents are going to drive this unification from a customer experience, which people are looking for. When you have a broad product portfolio and you’re moving forward fast, there are always areas where you’re moving forward faster than some other areas. That’s valid feedback. But we are putting a lot of time and effort into making sure, as we build out our agentic experience, that unification and that capability works well across all these services. People have asked where Google’s equivalent of Muse or Dots is. Do you anticipate creating a new product to compete with them? Our goal with Gemini is to be a personal, proactive, and powerful assistant. That’s what we are working toward. You saw us describe the early versions of it at Google I/O this year with Spark. Effectively, already, if you open the Gemini app as a Pro or an Ultra user, you see Chat and Task, and they start giving you that agentic experience. With Argon now, that capability is dramatically accelerated. What we announced recently in our enterprise event, we are bringing that to consumers as well. Soon in Gemini, you will be able to ask something, and it’s a continuum. You don’t need to think about whether you’re asking a chat or an agentic task. It’ll just automatically do the right thing, and it can work persistently in the background securely and get things done for you. Already, empirically, when I look at what’s coming into Gemini in our app, last year you would have tagged them and most of them would have been chats. But a steadily growing percentage is already agentic tasks in Gemini. Yes, we are going to bring personal agents to our consumers. It’ll work in the Gemini app. It’ll work in Google Search. It’ll work in Gmail. You can address it, call it, etc. We want to make sure we’re getting it right. It’ll be powered by Argon, and we are very excited to bring it to our users. Google has invested and committed tens of billions of dollars to Anthropic. What do you see in Dario Amodei that makes you want such a deep investment and partnership? Very early on, when we looked at the founding team of Anthropic, it was very clear to us this was a world-class team which was involved in some of the earliest GPT models. We were quickly able to assess that they would be at the frontier. We’ve always tried to identify and partner with companies which would be at the cutting edge of technology. We’ve done that with SpaceX. We’ve done that with Anthropic. That’s what we saw, and we had a chance to partner. Is your partnership with Apple to license Gemini for Siri expanding, contracting, or standing still? For both us and Apple, that partnership was about translating the capabilities of AI into better experiences for users. I thought Apple has done a phenomenal job of incorporating—they customize these models and build it into Siri—and it’s been great to see the reception. We are committed to doing more. You’re going to do more with them? There’s nothing specific to comment, but it’s a partnership. It’s working well. What have you learned so far about the feasibility of data centers in space? It’s a very exciting project. Projects like this remind me—I still recall that moment in the desert for the DARPA Grand Challenge, watching the Stanley car compete in it, which ended up being the basis for Waymo. With all these technologies, you’re at a moment in time where it looks a bit like sci-fi, but 10 to 20 years down the line, it’s actually working in a meaningful way. I feel the same in space. We’ve always believed in betting big on these technologies. Quantum has been a great example of it. We’re probably 10 years into the journey. Waymo, we are almost 20 years into the journey. Space, we are two to three years into the journey. It’s clear to me that it’s an approach which will make a lot of sense in the future. Being in sub-synchronous orbits with 24/7 access to the most abundant form of energy we have access to will make a lot of sense for this exponential increase in compute that we are going to need. Having said that, this is a challenging project. The team has disciplined milestones. It was a super exciting milestone to send the TPUs up to space. Sometime, as we are speaking, we are expecting a “hello world” moment from them. I look forward to seeing that happen, and we’ll continue investing here too. You previously said 25% of the code written within Google was written by AI. What’s the number today? That number in our world today is meaningless in the sense that every part of what we now touch is influenced by AI deeply. What we are tracking with Argon, for example, it’s been a point of inflection. People are using Argon to really go tackle complex projects, including projects which affect millions of lines of code. In the four weeks since we have launched Argon, we have seen a 30% increase in CLs, and more importantly, almost a similar increase—a one-third decrease in rollbacks. People are writing code more productively and better code with it. We are tracking it with newer metrics now. How are you dealing with opposition to data centers? If you can’t build in the U.S. the way you want to, where else do you go? We’re very committed to building our data centers very responsibly. When I look at our largest data centers in some of the communities where we have been the longest, I visit them, I talk to people. There are people who come and tell us their kids have gone to college because of our investments in these communities, and we’ve grown in those communities. To me, this is about doing it right. Engaging with the communities early, doing it transparently. We are committed to making sure we are bringing incremental power, and we cover 100% of the cost of our power needs for these projects. It’s understanding the impact on neighborhoods and making sure you’re working thoroughly to address them. Done rightly, you can continue making progress. But we are constantly taking feedback into account. I do worry not everyone operates the same way. People have been surprised by data centers showing up in their backyard. Those are all important. As an industry, we should continue to do better. But part of the reason, in a 20-year time frame, we are thinking about things like data centers in space is making sure we are able to put these data centers where maybe the trade-offs will be different. What unproven area of AI is Google working hardest to crack? Is it continual learning—getting models to keep updating after release—or something else? There are multiple parallel paths. You saw with Argon we have a million output tokens. With our Gemini models early on, we had a one-million context window on the input side. These are all examples of breakthroughs we are constantly working on. How do you think about synthetic data? How do you think about continual learning? How do you think about more efficient architectures? We do dedicate a meaningful percentage of our compute to these research bets too. It always goes hand in hand, including our world models. Those are all bets we are placing. Sometimes, as part of these bets, there are ideas that emerge which just make their way into the mainline models. Maybe we don’t fully talk about it, but we have multiple steps in these areas. Working in technology requires optimism that building something will improve the world, but those bets can leave real consequences when they fail. I recently returned to a town in El Salvador where enthusiasm for Bitcoin had given way to unfinished construction and something resembling a ghost town. How do you maintain the optimism you spoke about in your Stanford commencement address while accounting for those risks? I genuinely have a deep conviction that improving technology and improving access to technology makes people’s lives better. It’s been my personal experience in my life, out of which comes that deep conviction, optimism. But with that, I’ve always felt humanity’s journey is always about working hard to harness that technology to make it work well for society. The optimism is not an optimism that you just build whatever you want, whenever. You work hard to make sure you’re building technology in the service of humanity, to make the human condition better. That’s got to be the defining goal as we are approaching it. With that framework, I’m very, very optimistic. We are in very early stages of the kind of progress that we are going to see on many areas. We’re all talking about areas like healthcare. A lot of the progress is ahead. The ability to make things in a fundamentally cheaper way on many things where things have been getting expensive for a long, long time, discovering new materials, etc., which really bend the curve—it’s tough to step today and understand the impact of all that, but they’re going to be very profound. I’m very optimistic, but we have to be rightfully concerned about all the ways this technology can go wrong. Sundar, I know you don’t do many of these. Thank you. Thanks, Alex. Appreciate it.

Oct 20 • 1:47 PM EDT • Technology • bigtechnology.com

This Tully monster mystery keeps getting weirder

What is the mysterious Tully monster?

Oct 18 • 5:00 AM EDT • Science • sciencefocus.com

The magic of accepting family weirdness

There's good trouble to be had and good magic to be found in "Two Witches, No Waiting," opening Oct. 2 at the Art Center of Citrus County.

Sep 16 • 11:02 AM EDT • Entertainment • chronicleonline.com

College Football Roundup: Pre-T25 Week Two

Two weeks are in the books for what’s already been one of the weirder, wackier starts to a college football season in recent memory. With that, we are just two weeks away from my first Top 25 (I detail the formula and why I wait until week four here), and let me just say, there’s […]

Sep 18 • 11:36 PM EDT • Sports • sports.yahoo.com

Angine de Poitrine is weird. That may be exactly what your brain craves.

Québécois rock duo Angine de Poitrine has gone viral for its bizarre costumes and unconventional music, earning praise from rock legends. A cognitive neuroscientist explains the science behind its app...

Oct 16 • 11:25 AM EDT • Entertainment • yahoo.com

The Politics of Solar Energy Are Getting Weird, Mean, and a Little MAGA

A mysterious super PAC that doubles as a pro-solar-energy outfit is funding some of the most knives-out attack ads of the midterms season.

Oct 14 • 6:30 AM EDT • Politics • wired.com

Pretend you're sitting at Elizabeth Holmes' desk on this weirdly detailed website

With over a thousand emails, slides, texts, and documents from the United States v. Elizabeth Holmes trial, Extend engineer Bo Lau created a website that simulates what it might have been like to rifle through the Theranos founder's desk.

Oct 8 • 5:00 PM EDT • Technology • techcrunch.com

Apple's iPhone Ultra design keeps getting weirder

From the camera cutout to the screen shape, this could be one unusual iPhone.

Aug 18 • 1:00 AM EDT • Technology • creativebloq.com

Scientists Discover Weird Conditions at Site of Star That Exploded During the Period of Japanese Samurai

Astronomers observed a star that had survived its own explosion some 845 years ago. New observations raise even more questions.

Oct 18 • 11:49 AM EDT • Science • futurism.com

Vikings QB Kyler Murray Laughs Off Weird Baker Mayfield Comments

Minnesota Vikings QB Kyler Murray laughed off old Oklahoma teammate Baker Mayfield's comments about people not liking him ahead of Sunday's game in Tampa.

Sep 24 • 8:59 PM EDT • Sports • sports.yahoo.com

'Stuffed' review: Jodie Comer and Harry Melling shine in a macabre musical romance

This one's for the weirdos who love a grisly musical.

Sep 14 • 4:45 PM EDT • Entertainment • mashable.com

Analysis | Alaska’s weird (and important) Senate race

There will be two Dan Sullivans on the ballot, which greatly benefits Democrats.

Aug 26 • 3:38 PM EDT • Politics • washingtonpost.com

New quantum chip taps into weird quasiparticles to get qubits to communicate over long distances

Scientists have developed a new type of architecture for quantum computing chips, and it could pave the way for machines capable of large-scale processing.

Oct 5 • 5:00 AM EDT • Science • livescience.com

Asteroid named after ‘Weird Al’ Yankovic

‘I just hope this isn’t the asteroid that winds up destroying the Earth.’

Sep 25 • 1:06 PM EDT • Science • popsci.com

Texans throw some weird bulletin-board material after Bengals beatdown

A comment in the aftermath of the Bengals routing the Texans is starting to get attention.

Sep 22 • 9:37 AM EDT • Sports • sports.yahoo.com

The Weekend Mauling: 9/5/26

Links! The KC Star breaks down KU’s blowout win over Long Island SI writes that Nik McMillan lived up to his billing in his Jayhawk debut Queen Creek, Arizona (literally right down the street from where I live) has made it a specific crime to damage Flock cameras The John Fetterman drama keeps getting weirder […]

Sep 5 • 11:01 AM EDT • Sports • sports.yahoo.com

Review: Chuwi's $449 Unibook laptop is a funhouse-mirror MacBook Neo

The Unibook is a weird entry-level laptop for people with patience.

Aug 24 • 7:00 AM EDT • Technology • arstechnica.com

“Boy Meets World” star Matthew Lawrence recalls ‘dysfunction’ on “Girl Meets World ”set: ‘It was very weird’

Lawrence spoke to EW about reprising the role of Jack on a 2015 episode of the Disney Channel spinoff.

Oct 6 • 10:00 AM EDT • Entertainment • yahoo.com

Weird girls, your next shelf collectible is a stack of Robert Pattinsons

Why A24’s nesting dolls are perfect.

Oct 4 • 7:00 AM EDT • Entertainment • creativebloq.com

Physicists Simulated What Might Happen When Two Wormholes Collide, And Things Got Weird

Double the fun.

Oct 17 • 4:00 AM EDT • Science • sciencealert.com

How lip-syncing to AI let Forced Entertainment ‘play the game of theatre’

Today we have a fascinating piece by long-time Forced Entertainment fan Ben Kulvichit, speaking to Tim Etchells about their latest show Cold Sweat, how they are integrating lip-sync and AI voices into their work, the question of ‘authenticity’ on stage, and how lip-sync has even opened the door for them to make “something a little bit like drama”. This piece is a paid partnership with the Southbank Centre, where you can see Cold Sweat next month – we’re very grateful to the Southbank Centre for their ongoing support for Exeunt. Holly Williams ‘It was immediately interesting and uncanny’ **By Ben Kulvichit** “Is the microphone on?” So goes one of the opening lines of Signal to Noise, delivered by a human performer lip-syncing to an AI-generated voice. The voice is American, cheery but sluggish, slowed down into a gelatinous drawl. It repeats ad infinitum in a farce of stuckness; an answer never materialises. I find myself asking the same question as I hop on a Google Meet call with Tim Etchells, the artistic director of Forced Entertainment. We spend five or ten minutes frowning at each other, muting and unmuting, me gesticulating in semaphore into my webcam, checking if I am coming through now, restarting the laptop. To Etchells, I appear exaggeratedly mouthing words, my voice missing. In this gloopy purgatory of broken communication, life imitates art imitates life imitates art. We try a Zoom instead. Forced Entertainment, the pioneering British theatre company who have been at the avant-garde of performance since the 1980s, turned an interesting artistic corner with Signal to Noise, created on the occasion of their 40th anniversary. The whole performance employed this lip-sync technique to AI voices; on the face of it a left-field move from a company whose identity has long been grounded in the earthy, immediate presences of its performers and its unassuming, low-tech approach to theatricality. The technique, however, turned out to provide the company with a “rich new seam” of artistic enquiry, and has now spawned a trilogy of works. The second instalment, Cold Sweat, plays at Sheffield Theatres, Southbank Centre, and Lancaster Arts in October, while the third part, Everything Must Go, has been touring in Europe and is slated to come to the UK in 2027. As is often the case with Forced Entertainment shows, the main conceit for this work didn’t arrive until quite late. They were “four or five weeks into rehearsals for Signal to Noise,” Etchells recalls, and getting nowhere. Away from rehearsals, he had been playing around with feeding “weird texts” to AI voices to see how they would cope with them – “basically for my own amusement” – and was compelled by the uniformly “serviceable, benign, good-natured” tone they would read in, no matter how poetic, fractured or experimental the writing. On a hunch, he brought some examples into rehearsals and the performers gave lip-syncing a go. “It was immediately interesting and uncanny,” he recalls, with the performers having to deal in the moment with the problem of mapping themselves onto another artificial ‘performer,’ which itself was dealing with the problem of a very human text. “Almost all the writing for these projects would be useless to us unless it was done in this way,” says Etchells. “We wouldn’t know what to do with it. It’s too poetic. It’s too fictional. It’s too tangled.” But exploring lip-syncing along to the text has opened “an enormous reservoir of ways of thinking about writing and performing.” Subscribe to Exeunt, and get two in-depth pieces on theatre a week, direct to your inbox Subscribe Forced Entertainment have long been sifting through the detritus of popular culture, from daytime TV to end-of-the-pier vaudeville, magic acts and clown shows, to find frameworks for their own unusual entertainments. Lip-syncing, then, makes sense for them to experiment with. As a mode of performance, it’s wired into popular consciousness through pop stars trying to convince stadium audiences of their liveness, or those same voices as channeled through the made-up lips of contestants on RuPaul’s Drag Race, or movie dialogue spreading virally through the host bodies of TikTok users. For Etchells, lip-syncing is often about “approaching real voices and trying to take on their aura,” subsuming that original human presence into yours. “There’s a very basic, elemental sort of theatre magic to it, produced in this very easy way.” This broad approach resonates with instances of lip-syncing within contemporary performance, too. In works like Re-Member Me and Showmanism, performance artist Dickie Beau acts as a kind of spirit medium for archival recordings (this process of re-membering – as in, giving corporeal form to voices – relies on his masterfully precise actor’s technique), while Frankie Thompson is similarly possessed by a host of characters ranging from a nine-year-old Jacob Rees-Mogg to Cliff Richards, all of whom she finds compellingly nauseating, in the exorcism ritual that is her latest show, Horrible Things. What’s different about Forced Entertainment’s use of lip-syncing is that here, there is no original presence to be channeled. The performers are instead taking on what Etchells describes as “the voices of nobody,” or rather the “phantasmic, aggregated echoes” of the many many voices on whose data the AI has been trained, and which are now conjuring into existence words they never actually said. There is a sort of mournful, empty quality to these voices, having “washed up” far away from the people they originally belonged to, to find themselves in stranger’s mouths listing objects, wondering if anyone can hear them and glitching in interminable loops. There is a cold, sad anonymity to it all. Etchells remarks that occasionally the software company he used has notified him that particular people are withdrawing their voices from the platform, instructing him to cease use of those voices. Using these technologies in performance certainly brings up ethical questions around digital rights, consent, identity and ownership, although in the grand scheme of things, Etchells is fairly blasé about it: of all the purposes someone’s voice might be put to without their knowledge, “an avant-garde performance is probably the least of their worries.” [ ](https://exeuntmagazine.substack.com/p/frankie-thompson-horrible-things-essay-mental-health-compulsive-behaviours-pleasance-courtyard-soho-theatre) [ Frankie Thompson: How I manage my own ‘horrible things’ at the Edinburgh Fringe ](https://exeuntmagazine.substack.com/p/frankie-thompson-horrible-things-essay-mental-health-compulsive-behaviours-pleasance-courtyard-soho-theatre) Exeunt · Aug 25 [ Read full story ](https://exeuntmagazine.substack.com/p/frankie-thompson-horrible-things-essay-mental-health-compulsive-behaviours-pleasance-courtyard-soho-theatre) For the performers, though, lip-syncing to these strange, artificial voices is an odd task, requiring them to bend their live, human presence into the shapes produced by machines. Politically, it mirrors processes that are already at play in the continued computational automation of human life. Etchells brings up James Bridle’s writings on new technologies as a reference point: one example Bridle gives is of “chaotic storage”, a logistics technique employed by Amazon fulfilment centres whereby items are stored not according to traditional methods of categorisation or alphabetisation, but in a way that an algorithm determines to produce the most efficient routes for ‘picking’ based on customer purchase patterns. This appears completely random and incomprehensible to humans, with paddling pools sitting next to USB sticks sitting next to blowtorches, and so for the warehouse workers, the process of picking items becomes completely reliant on technology which tells them where to go. Our world is increasingly being designed not with humans in mind, but rather machines. As Etchells puts it, “technology malforms the space, and then you end up having to live in it.” Initially, Forced Entertainment tried their best to live in the world of machines: “I was in the it’s-got-to-be-perfect school of lip-sync,” says Etchells. But with their aesthetic being so tied to the failing act, the slipping mask, the shoddy costume, “it’s no surprise really that that didn’t last.” Instead, the performers got to enjoy being late for a line, or playing games with each other, “stealing” each other’s voices. Etchells compares it to the principles of ventriloquism, in which a free-floating voice unattached to a body is fundamentally discomforting and “sort of traumatic”. That discomfort is equally as alluring to Forced Entertainment as the satisfaction of precision, the pretence of authenticity only interesting if shown to be a pretence. Lip-sync has also opened up new avenues for the company. Having been allergic all their lives to Plays-with-a-capital-P, with Cold Sweat Forced Entertainment find themselves approaching something a little bit like drama. Rather than the presentational arena of Signal to Noise’s open white stage, Cold Sweat places us more decisively in a “fictional locale”: what appears to be “the aftermath of some disastrous party or backyard drinking binge” where three figures – family members, or neighbours, perhaps – are the last ones standing. “It’s all quite acrimonious and accusatory, everyone’s talking over each other.” For Etchells, this more fictional mode is “a door that we’ve never been able to open. We’ve just never really gone there.” Perhaps it is the technique of lip-syncing, an extra buffer of mediation, that allows them to venture away from the here-and-now without feeling that they have to commit to the “psychological claptrap” that comes along with acting; to be able to “play the game of theatre, without getting one’s hands too dirty.” As I wonder how else the impulses behind Forced Entertainment’s work have changed over time, it occurs to me that over the last ten years of new creations, with the exception of If All Else Fails, the company’s performers haven’t ever spoken on stage: there were two shows without any language at all, Out of Order and Under Bright Light, and then this trilogy of lip-sync works. Etchells agrees it’s a shift away from earlier productions, that were so often about “the actual voices of the performers and their actual presences. We had a lot of money, in some ways, on an authentic approach to what it might mean to speak on the stage.” But this sense of authentic presence itself had a fakeness to it; these days, Etchells can’t stand that mode of being onstage where performers “are here to be cheeky and witty versions of themselves. I don’t want to be charmed.” Pulling back into a more anonymous space has resulted in works that feel slightly sharper-edged, more brutal in a way. “All of these shows are post-Brexit, post-Trump, post-truth, post-everything,” Etchells notes. Speech, charisma, authenticity – these things feel politically loaded, and perhaps warmth and openness just don’t feel like the right tools to reflect the world we’re living in. “It feels like the space is closing down, and we’re trying to deal with the fact that the system, the structure that you’re in, is more oppressive and more powerful. It probably always was, but I think we’re just more tuned to it now.” Yet even without their voices, the performers’ distinctive presences – ones that many audiences have followed around for years, if not decades – still, inevitably, shine through as they physically navigate whatever unending task the system of the piece has set for them. They’re still trying to keep up with the onslaught of text, still running about, changing costumes, moving stuff around. The human is always stuck in the teeth of the machine, jamming the smooth, frictionless cheeriness of the not-real, gesticulating silently, trying desperately to communicate. Cold Sweat is at Sheffield Theatres, 2 to 3 October; Southbank Centre, London, 9 to 10 October; Lancaster Arts, 14 October [ ](https://exeuntmagazine.substack.com/p/exeunt-recommends-the-best-autumn-theatre-2026-lives-of-others-standard-of-living-our-friends-in-the-north-lanny-) [ Exeunt recommends... the best autumn theatre ](https://exeuntmagazine.substack.com/p/exeunt-recommends-the-best-autumn-theatre-2026-lives-of-others-standard-of-living-our-friends-in-the-north-lanny-) Exeunt · Sep 16 [ Read full story ](https://exeuntmagazine.substack.com/p/exeunt-recommends-the-best-autumn-theatre-2026-lives-of-others-standard-of-living-our-friends-in-the-north-lanny-) This piece was paid for by the Southbank Centre. Such support helps Exeunt to keep publishing the most interesting writing, about the most exciting theatre. Interested in partnering with Exeunt? Visit our Advertise with Exeunt page, where you can get more information, download an advertising pack, and find our contact details.

Sep 22 • 5:02 AM EDT • Entertainment • exeuntmagazine.substack.com

The Cubs and Red Sox will play a doubleheader Friday

This crazy Cubs season gets a little bit weirder.

Sep 23 • 4:45 PM EDT • Sports • sports.yahoo.com

In rural Wisconsin, politics is still about meeting voters. Online, it’s getting weird.

Rebecca Cooke is taking her campaign directly to rural Wisconsin communities, all while an AI-fueled online fight with her Republican opponent adds a distinctly 2026 twist to the race.

Oct 5 • 6:00 AM EDT • Politics • yahoo.com

Mysterious 'Golden Tree' Coral Is So Weird, Scientists Had to Create a New Family on The Tree of Life

Magic in the twilight zone.

Oct 16 • 6:00 PM EDT • Science • sciencealert.com

Alien sunsets, stone spiderwebs and mysterious doors: Curiosity's top 10 photos after 5,000 days on Mars

Curiosity has been photographing Mars in its search for evidence of water and life for over 5,000 Martian days. Here are 10 of the most surprising and weird photos the rover has sent back to Earth.

Sep 23 • 7:00 AM EDT • Science • livescience.com

Our Survival Might One Day Rely on Nuking a 'City Killer' Asteroid. Scientists Just Tested Whether It'll Work

Things got weird.

Aug 17 • 9:36 PM EDT • Science • yahoo.com

The Fujifilm Instax Pal 2 Digicam Looks Nothing Like its Weird Predecessor

Analog style without any analog shooting.

Sep 14 • 10:00 PM EDT • Technology • petapixel.com

The original Apple TV 4K from 2017 is now officially "vintage"

Apple changed its status in preparation for its upcoming smart home product event. The smart streaming box/stick market is a bit weird for sure. There are...

Oct 11 • 1:31 PM EDT • Technology • gsmarena.com

The Science Of Fever Dreams: When We’re Sick, Our Dreams Can Get Extra Weird

There are some surprisingly recurrent themes in our fever dreams.

Oct 10 • 7:01 AM EDT • Science • iflscience.com

Experiment Tested Out-of-Body Experiences. Two Reported Seeing Things Scientists Can't Explain.

This is actually weird.

Sep 11 • 6:00 PM EDT • Science • sciencealert.com

Jaina Lee Ortiz breaks down the ‘weird and wacky’ ‘R.J. Decker’ season 2 premiere

Jaina Lee Ortiz is dropping major teases for ‘R.J. Decker’ season 2, from another love interest challenging her ‘slow burn’ dynamic with Scott Speedman’s R.J. to a shocking reveal around Victor Ochoa’s fate.

Sep 15 • 11:00 PM EDT • Entertainment • ew.com

This Weird Toad Drove a Brilliant Scientist to His Death. What If He Was Framed?

Paul Kammerer was one of the premier biologists of his generation. But his ideas made him some enemies.

Sep 22 • 12:02 PM EDT • Science • popularmechanics.com

Wildfire smoke may be hurting Iowans' physical and mental health

Even with all the recent rain, much of Iowa’s northern half remains under a moderate health advisory due to smoke from distant wildfires, and a mental health expert says that smoke is affecting more than just people’s lungs. Clinical health psychologist Dr. Kristi White says many of her patients are bringing up the smoky conditions […]

Aug 17 • 6:00 AM EDT • Health • radioiowa.com

So what was really the deal with Chris Sale?

What a weird Sunday

Oct 5 • 9:00 AM EDT • Sports • sports.yahoo.com

In rural Wisconsin, politics is still about meeting voters. Online, it’s getting weird

Rebecca Cooke is taking her campaign directly to rural Wisconsin communities, all while an AI-fueled online fight w

Oct 13 • 6:00 AM EDT • Politics • salon.com

These are the absolute weirdest spacesuits ever designed

Spacesuits of the future could use memory alloy coils to become skin-tight and maybe even recycle an astronaut's pee back into drinking water.

Sep 18 • 11:05 AM EDT • Science • sciencefocus.com

NASA rover captures weird 'spiderwebs' on Mars, giving scientists fresh hope of finding ancient life on the Red Planet | BBC Sky at Night Magazine

NASA’s Curiosity rover captured detailed images of spiderweb-like formations on Mars. New evidence groundwater shaped the Red Planet surface.

Sep 14 • 4:54 AM EDT • Science • skyatnightmagazine.com

Fortnite Is Selling Your Favorite Characters Back To You As Husks

Fortnite's latest crossover season is a weird branding exercise that's bad for both companies and fans

Sep 18 • 11:01 AM EDT • Technology • aftermath.site

Scientists Witness Water Transforming Into a Weird 'Glass' Instead of Ice

What's going on?

Sep 10 • 4:00 PM EDT • Science • yahoo.com

Weird and misleading political ads: How to talk to kids about them

It’s hard to distinguish reality from fiction in a world of AI and desensitization.

Oct 16 • 2:00 AM EDT • Politics • bostonglobe.com

Scientists Dug Into a Weird Patch on The Seafloor. They Unearthed a Watery Grave

There were bones and teeth.

Oct 22 • 6:00 AM EDT • Science • yahoo.com

Diablo 5 Has Officially Been Confirmed For PC

Why is Blizzard being so weird about this?

Sep 17 • 6:30 PM EDT • Technology • kotaku.com

Insomniac Confirms Wolverine Doesn't Contain AI-Generated Assets After A Weird-Looking Sign Goes Viral

A funky-looking bathroom sign is the result of an in-game glitch and is not AI slop

Sep 18 • 6:45 PM EDT • Technology • kotaku.com

The new Apple Watch listening features feel weird

The Apple Watch's new Live Rewind and Siri Recap listening features usher in a strange new world of audio surveillance.

Sep 9 • 5:45 PM EDT • Business • businessinsider.com

The Duskbloods' Weirdest Character Was Inspired By Ultraman

Just like Ultraman

Aug 24 • 4:00 PM EDT • Technology • kotaku.com

Android is getting its own weird dots to cure car sickness

Goodbye motion-induced nausea.

Aug 25 • 4:36 AM EDT • Technology • theverge.com

Tomb Raider: Legacy Of Atlantis' Beautiful Visuals Can't Quite Hide Its Weird Changes

The reimagined world of Tomb Raider looks great, but that's where my praise has to end.

Sep 2 • 9:00 AM EDT • Technology • gamespot.com

Politics Unplugged Podcast: Headline roundup with Jim Small

Arizona Mirror editor Jim Small joins us to talk about new poll numbers, and shenanigans with candidates running under the Green Party name. Then Dennis and Colin talk about the weird political attacks on the WNBA.

Aug 28 • 11:25 PM EDT • Politics • kptv.com

Monday ‘Dawg Bites: The Neighbors Are Acting Weird Again

It’s college football’s week 0, and while we’ve still got some time before the Bulldogs kick off, the news from elsewhere is flowing free and fast. Let’s take a quick spin around and see what’s up. Alabama has named sophomore Keelon Russell its starting quarterback over senior Austin Mack. It isn’t a surprising outcome, as […]

Aug 24 • 5:19 AM EDT • Sports • sports.yahoo.com

Hubert Hurkacz Has the Weirdest Big Three Resume in Tennis

No one ever talks about Hubert Hurkacz, so let's talk about him because the Pole has just done something rather ridiculous. By beating Novak Djokovic 6-4 6-3 at the Shanghai Masters, Hurkacz became only the fourth player ever to defeat Roger Federer on grass, Rafael Nadal on clay, and Djokovic on hard courts. The other …

Oct 12 • 7:16 AM EDT • Sports • sports.yahoo.com

Scientists Just Found Six Mysterious Structures Deep Inside Earth. Here’s How They Know They’re There

Understanding these weird structures could help in the prediction of earthquakes and volcanoes.

Sep 5 • 10:11 AM EDT • Science • iflscience.com

Big Dom, Elon Musk and George Santos. The Pa. campaign cameos are getting weird.| PA 2026 Newsletter

The rematch between Scott Perry and Janelle Stelson heats up in Harrisburg. Philly Dems celebrate Bob Brady's 40 years with Big Dom and Joe Biden.

Oct 16 • 7:01 AM EDT • Politics • inquirer.com

Amanda Peet Reveals First ‘Weird’ Sign of Breast Cancer. It Wasn’t a Lump

The actor said her very first indication something was wrong “wasn’t the frozen pea that everybody talks about,” she told TODAY.

Oct 1 • 10:10 AM EDT • Health • today.com

Job interviews are a weird business

Given the biased nature of the interview process, the recent kerfuffle about taking iced coffee in with you may be the least of our worries, writes Emma Beddington

Sep 28 • 6:00 AM EDT • Business • theguardian.com

34 Weird And Interesting Reddit Photos

I'm sorry, WHAT?????

Sep 29 • 10:01 AM EDT • Technology • buzzfeed.com

'A weird and concerning period for the Blades'

BBC Radio Sheffield's Rob Staton on Sheffield United's League Cup exit, a lack of accountability from the board and a club seemingly lacking proper leadership at the top.

Sep 17 • 8:54 AM EDT • Sports • sports.yahoo.com

The new CD Projekt Red logo just sparked the weirdest backlash graphic design has ever seen

This bird just got angrier – and the brand's critics fans too.

Aug 29 • 5:00 AM EDT • Technology • creativebloq.com

Major feature fails to work with the Google Messages app on new phones

There is a weird workaround that will supposedly fix this issue.

Aug 20 • 2:31 AM EDT • Technology • phonearena.com

Sarah Paulson addresses criticism comparing her Aileen Wuornos portrayal to Charlize Theron’s in “Monster”

“It’s just the sort of weird thing where it’s like, I didn’t set out to do something better than Charlize Theron,” Paulson admitted.

Sep 29 • 12:33 PM EDT • Entertainment • yahoo.com

Forget A Nuvolari Rebadge, Porsche Is Now Planning A Halo Supercar With A Flat-8

The era of flatness is clearly upon us. Lovers of weird engine configurations everywhere rejoice.

Sep 21 • 10:56 AM EDT • Technology • jalopnik.com

GTA 6 Gets A Nudity Pass That Indies Don't For One Weird Reason

Talk about double standards

Oct 11 • 9:00 AM EDT • Technology • polygon.com

We spent the week testing IFA’s best (and weirdest) gadgets, ask us anything

We’ve seen everything from smart home to smartphones. What do you want to know?

Sep 4 • 8:00 AM EDT • Technology • theverge.com

Our Survival Might One Day Rely on Nuking a 'City Killer' Asteroid. Scientists Just Tested Whether It'll Work

Things got weird.

Aug 17 • 9:36 PM EDT • Science • sciencealert.com

Is this Braves team weird?

I know I think so

Aug 31 • 9:00 AM EDT • Sports • sports.yahoo.com

Weirdly Fascinating Science Facts That Will 100% Break Your Brain

I'm gonna need a good business day or two to process these.

Sep 7 • 12:01 PM EDT • Science • ca.style.yahoo.com

Politics Unplugged Podcast: Headline roundup with Jim Small

Arizona Mirror editor Jim Small joins us to talk about new poll numbers, and shenanigans with candidates running under the Green Party name. Then Dennis and Colin talk about the weird political attacks on the WNBA.

Aug 28 • 11:25 PM EDT • Politics • fox10tv.com

‘Weird’ science: U of A grad helped get asteroid named after Al Yankovic

“Weird Al” Yankovic now has an asteroid named after him, thanks to the efforts of a planetary scientist with deep connections to the University of Arizona.

Sep 19 • 11:57 AM EDT • Science • tucson.com

Scientists Witness Water Transforming Into a Weird 'Glass' Instead of Ice

What's going on?

Sep 10 • 4:00 PM EDT • Science • sciencealert.com

🏈 Y! Sports AM: Week 1 gets weird

College football kicked off with a clock controversy and a power outage.

Sep 8 • 8:51 AM EDT • Sports • sports.yahoo.com

Australia’s humpback whales were acting weird. What happened next surprised scientists.

A citizen science project uncovers a new humpback whale calving ground around the Great Barrier Reef.

Sep 6 • 10:10 AM EDT • Science • yahoo.com

Scientists Dug Into a Weird Patch on The Seafloor. They Unearthed a Watery Grave

There were bones and teeth.

Oct 22 • 6:00 AM EDT • Science • sciencealert.com

Trump Voters Think Ken Paxton Is “Disgusting” and “Bad.” These Ads Aren’t Helping.

You may have seen some weird, off-putting ads from a pro-Paxton group over the weekend. What are they trying to accomplish?

Oct 6 • 1:07 PM EDT • Politics • texasmonthly.com

'Very weird': 236-million-year-old fossil proves mammals stopped laying eggs earlier than we thought

Our understanding of mammalian reproduction is being reborn.

Aug 16 • 10:00 AM EDT • Science • nypost.com

Amanda Peet reveals 'weird' breast cancer symptom

Amanda Peet's advice for protecting your health? Keep an eye out for the warning signs.

Oct 1 • 10:58 AM EDT • Entertainment • centraloregondaily.com