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Another year, another fresh start. And if you’re like me, that fresh start often comes with the best intentions of getting into shape. But then reality hits: It’s January, it’s cold, and the idea of leaving the house to brave the gym (and all the other resolution people) is wholly unappealing. Fear not, fellow homebody. This year, we’re going to conquer those fitness goals from the comfort of our own living rooms. No gym fees, no icy commutes, no waiting in line for a treadmill. Seven (iOS/Android) For better or worse, if you have a phone and seven minutes, you no longer have an excuse. Seven is the heavy hitter in the “micro-workout” space. It focuses on high-intensity interval training (HIIT) circuits that require no equipment other than a chair and a wall. While the app has a subscription Club for extra variety, the classic Full Body circuit is free and stays true to the original scientific study that started the craze. Its gamified, too, so you earn achievements and lose “lives” if you skip a day. Down Dog (iOS/Android/Web) For those looking to find their zen while building strength and flexibility, Down Dog is a revelation. While it offers premium subscriptions, the free version still provides a fantastic yoga experience. What sets it apart is its dynamic sequencing. Each time you start a practice, it generates a new flow, so you never get bored. You can customize the length, focus (like hip openers or sun salutations), and even the instructor’s voice. It’s like having a personal yoga teacher on demand. Nike Training Club (iOS/Android) If you get bored with the same workouts time and time again, then Nike Training Club is for you. This free (as in truly free) app is packed with hundreds of workouts, ranging from strength and endurance to yoga and mobility. You can filter by workout type, muscle group, equipment (or lack thereof), and even duration. Many of the workouts are led by Nike master trainers, providing excellent guidance and motivation. It puts a massive, high-quality fitness library at your fingertips. Darebee (Web) My personal favorite, Darebee is a non-profit, completely free resource chock full of thousands of visual workouts that you can print out or follow on your phone. It offers everything from ever-changing daily exercises to structured 30-day programs. Its a community-run project that proves you dont need a fancy subscription to get results. If youre looking for a straightforward, easy to follow, self-paced workout hub, this should be your first stop.
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If youve already given up on your 2026 rebrand because you couldnt stick to your six gym sessions a week and no-sweet-treats resolutions, adopting a vegan plus bacon mindset may be the answer to all your problems. TikTok creator @addietheoptimist broke the idea down in a recent video: Someone on here went viral because they said if you think you cant go vegan because you love bacon too much, just become vegan plus bacon, she explained in the now-viral clip. Im here to tell you you can just apply that mentality to so many things in your life. While the original creator was referencing harm reduction in relation to veganism (that if you only eat bacon sometimes but are 100% vegan otherwise, its still making a difference), the potential applications of the general concept behind vegan plus bacon are limitless. Dont feel like going to the gym? Rather than not going at all, go and give 10%… eve if that looks like 10 minutes walking on the treadmill, scrolling TikTok. You dont have to be imprisoned by your own rules, the creator concluded. The video currently has over two million views, with the comments full of examples of instances where others have unknowingly adopted the vegan plus bacon mentality. One person quit smoking, but still permits the occasional cigarette while among friends. Another is pescatarian, but allows themselves steak once or twice a year. Others are California sober, when a person gives up on alcohol and hard drugs, but continues to smoke weed. Perfect is the enemy of done, as one comment read. Anything worth doing 100% is still worth doing at 10%, another suggested. Perfectionism allows no room for mistakes or occasional slipups. Something has to be perfect, or its not good enough. Whats more, researchers found rates of perfectionism have surged in recent decades, having been a core part of Western culture since the 80s. There could be a number of causes for this, including pressure from school or parentsand today, social media also creates an additional pressure to portray a perfect image online. But perfectionistic tendencies have been linked to an alarming number of clinical issues, including depression and anxiety, even in children, as well as early mortality and suicide. Meanwhile, one of the most effective protections against anxiety and depression is showing compassion to oneself. Here, the vegan plus bacon mindset acts as the perfect counter-narrative to a culture unhealthily obsessed with self-improvement. Sometimes good enough is good enough. And, as I recently read somewhere (i.e., saw on TikTok): such a mindset shift only has to make sense to me, and I dont feel like explaining it to anyone else.
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A few weeks ago, my iPhone woke me up at 3:30am. In a way, it was my fault. Id technically set the alarm for three thirty. In another way, it was Siris fault. Apples AI assistant never thought to question if I was asking for AM or PM. And it simply assumed the most painful option for me. Its just one of countless tiny examples of how Siri, 16 years since Apple acquired the technology, has been a disappointing product. Siri was already looking dusty before modern LLMs, and with the launch of ChatGPT, it has been completely left behind. Which is why in June 2024, with fans and investors growing impatient, Apple promised a new era of AIApple Intelligence. But that new intelligence never arrived. Reports of infighting at Apple abound, talent left the company last year as Tim Cook held an emergency all-hands in August promising a bigger focus on AI. This week we learned the results of that renewed focus. Instead of building a new Siri itself, Apple will license AI from Google, and stick Gemini inside its assistant. Siri will get this more personalized, capable upgrade later this year. This is a significant announcement. Apple had toyed with third party AI before, most recently via an agreement with OpenAI where users could opt in to have Siri ask ChatGPT a question. But this approach was always a silly stopgap. No one wants a go-between between an incapable chatbot and an all-knowing AI. People remove friction from their workflows. They want to just talk to the AI that knows the stuff. The agreement with Google eliminates middle men. Specifically, it doesnt just mean Siri might send a question over to Gemini to get an answer. It means that Siri is Gemini. Siris foundational architecture is Googles AI tech. Apple is Google now. [Illustration: FC] Is this a failure for Apple? (No) Its easy to look at this moment as cementing Apples own failure, as the company underinvested in artificial intelligence for years. But while Im hardly an Apple apologist, Id argue exactly the opposite. Apple doesnt need to make every part of its products to make those products successful. Yes, Apple has been designing its own mobile processors, for instance, since 2010. These processors have allowed Apple to push the boundaries of performance while cutting back power consumption. They are a big reason that Apple phones and laptops are so appealing to creative professionals. But Apple doesnt use manufacturing partners build its own screens, which it buys from LG, Samsung, and BOE Technology. It doesnt make its own RAM, either, which is why so many Apple execs are currently holed up in South Korea, hoping to secure the vital hardware from Samsung as its recently ballooned in price. Even in this challenging supply chain, Apple simply doesnt need to build anything that it cant build best. Screens and RAM are commodities that Apple can acquire, integrate into their products, and no one will know the difference. Increasingly, AI is a commodity, too. Thats one reason that, for Apple, this deal with Google is a steal. While headlines focus on the shocking nature of Google powering Siri, its a fact that, I suspect, most iOS users will forget about in day-to-day use as they encounter more and more touchpoints of Apple Intelligence. Consider that Google pays Apple more than $20 billion a year to be the default search engine on Safari. Cleary, thats considered a worthwhile investment for Google, to get its search engine front and center on Americas most popular phone brand. But all Apple has to do for those dollars is set up a URL. Theres no significant technological investment on Apples part. If Apple was training an advanced LLM on its own, it would cost a lot of money now, and even more into the future. Thats because, on one hand, yes, AI models are increasingly commoditized, and the core science driving them is more widely understood than it was a few years ago. On the other, developing those modelsand specifically, staying on the cutting edge in an industry that feels new every three monthsis still a costly practice thats growing costlier by the day. According to Bloomberg, Apple is paying Google $1 billion a year for AI. Thats a figure remarkably close to the increasing cost of developing AI. Whereas the ChatGPT 3 of 2020 cost a mere $2 to 4 million to train, the latest generations of LLMs built upon vastly more data (like ChatGPT 4 and the latest Gemini) have cost over $100 million to train apiece, with the vast majority of cost going to computing power. And some rumors point to OpenAIs ChatGPT 5 costing another jump more than what weve seen spent thus farbetween $500 million and $2.5 billion according to analysts. Meanwhile, Apple is getting the worlds top AI model for a mere 1% of its annual profits. $1 billion is barely a line item for a company with a company boasting approximately $400 billion in annual revenue. If Apple has done nothing else than lock in a $1 billion rate for the near future, to have a top tier AI service from a proven competitor thats paying 20x that to you for a search referralthen thats a considerable business win. Let the engineers focus on tuning an AI to Apples specifications. Then Apple can focus less on building a competent AI and more on how that AI appears across its products. Indeed, if we should question anything, its how much Apple can lead the industry, not through AI models, but through the design and manifestation of the AI experience. What does the Apple mean in Apple Intelligence? Now that its sitting on a solid technological foundation, thats the question Cupertino finally gets to answer in 2026.
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