
Samsung says no one should need more than this many alarms
C. Scott Brown / Android Authority
TL;DR Samsung Galaxy devices have a limit of 100 alarms.
This is actually an increase over the limit of 50 from about five years ago.
Is waking up every morning a struggle for you? We know the feeling. A common way of trying to get up from your deep slumber is to set multiple alarms, maybe a couple minutes apart for each, to get your butt out of bed. Frequently take naps throughout the day? You may also be setting alarms for those too. But just how many alarms is too much?
At least on Samsung devices, over 100 alarms is just too much. As spotted by Reddit user Sernian, it's impossible to add a new alarm once you've reached the 100 alarm threshold. Though this appears to be on the Galaxy S24 Ultra subreddit, it's not the only Samsung device with this limitation. Yes, even your shiny new Galaxy S25 Ultra can't have more than 100 alarms.
Believe it or not, this restriction isn't actually new and has been around for several years. Back in 2019, the limit was actually 50, according to a Samsung Community support thread, so Samsung has actually doubled the limit for those who need more alarms in their life.
We can only guess that developers probably had to put an upper bound on this somewhere, and 100 is just a nice, round number. But having a limitation at all is a bit of an odd choice, considering that some people may have varying schedules that may require a lot of different alarms.
And then there are the times when you use Gemini to set alarms because of hands-free convenience, and each one gets saved to use in the future if you want. So if you want to take a nap for 30 minutes and tell Gemini to create an alarm for 30 minutes from now, it's saved in the app. It's better to use a timer for those situations, since you're just adding clutter to your Clock app if you tell Gemini to set alarms.
Ryan Haines / Android Authority
If you're always using Gemini to set alarms, then you may want to check out how many alarms you actually have saved right now on your Samsung Galaxy device. It may actually be more than you think. And it would be a good idea to clear them out so you don't hit that 100 limit, just in case you actually do need to create a new alarm in the future.
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Alex Ossola: Coming up, AI developers may already be making the next generation of artificial intelligence, but if they build it, will the customers come? Stay with us. Belle, we've been talking a lot about the developer side, how AI gets made and what form it'll be in, but now I want to talk about the people who are going to be buying it and using it. Lots of companies have started using AI. According to a survey by McKinsey, 78% of companies say they use at least one AI function. So it seems like companies need to show they're integrating AI into their operations. Would you say this is an existential need for companies right now? Belle Lin: Oh, absolutely. There are really existential questions for categories of companies like law firms that have questioned what is the value of the billable hour, because so much of what AI is really good at automating away right now is reading and summarizing through texts and being able to provide synthesis of answers, and that's kind of early stage paralegal work. So if companies don't embrace AI, there's the question of will we still exist in 10 years timeframe? Never mind questions of will we be using AI pins and devices? We need to embrace AI now or else we won't be around. Alex Ossola: So that kind of brings me back to this other existential question about physical AI. Who actually wants this? Belle Lin: Well, if you look at examples of where physical AI exists now, I know we've talked about warehouses and factories. But there are also great examples of where wearable headsets like the Apple Vision Pro and the Meta Quest and many others that have been around for a while have huge applications in the military, for instance, for training the armed forces and in training for surgeries and home services where you have skilled trades like plumbers and air conditioning technicians, learning how to build the physical engines that keep homes running as well as jet engines, technicians learning and figuring out how to troubleshoot them. So there's great examples of where physical AI and augmented reality, which is a really early version of bringing AI into the real world, already have a lot of value. And so you might see more acceleration in areas where AI in the real world are already having an impact, but once it becomes much more useful, you could see things like basic knowledge work becoming a lot more augmented because the ability to stream someone's virtual presence into a meeting room makes it that much better and there's no longer a need to have an in-person meeting. Alex Ossola: One of the things that is in the news cycle about AI right now is just how unbelievably expensive it's been. Companies are shelling out billions of dollars to build these data centers. Because they are doubling down on AI being the future, is there enough demand in all of these different applications for physical AI that we've talked about that will bring down those costs of the data centers or will they just keep skyrocketing? Belle Lin: A lot of this goes back to the AI models and the software layer because as they become more efficient, then the promise is that they require a lot less GPU compute and power going into the data centers. And so when the models become more efficient themselves, even though they are quite large and unwieldy, they can be trained much more efficiently. From that point of view, costs will certainly start to come down in terms of the infrastructure. But at the same time, other costs will need to come down as well. The cost of hardware in a really general sense is still quite high, the chips required to basically power Apple Vision Pro or to power a humanoid robot or to power self-driving cars, those are not quite commoditized. They're still quite expensive. Alex Ossola: So as developers make these devices and software and as companies figure out how to use them, whose responsibility is it going to be to figure out how to actually make money off of this? Belle Lin: Yeah, a lot of the AI developers and the AI startups will be hard-pressed to come up with an answer on how to actually monetize what they're building. Right now, a lot of them are funded by VC dollars, are backed by research or other types of grants and funding. And so there will be this sort of inflection point where either their technologies or their devices, their robots, their cars catch on with consumers or they don't. Because as we look at some of the other waves of technology that were funded by VC dollars, like the Ubers and the Lyfts of the world, there's this limited timeframe in which they can be funded by venture capital dollars until they have to show their metal. Alex Ossola: And how about for the companies using the products? Belle Lin: For the companies, that's already a really pressing question. ROI has been challenging since the dawn of the ChatGPT, AI era that we're in now, about three years ago. Companies have been investing heavily in AI models and AI technologies, but there's really not a clear way to determine whether or not they're paying off. So you could say that productivity of workers has gone up, but it's hard to measure. You could say that sales have gone up, but that's also hard to measure. So measuring AI's value has been a question for tech executives for the past several years and continues to be, but there's a lot of economic incentives that are aligned in trying to make sure that the AI companies are profitable and that companies are saving on the bottom line and generating top line revenue that the market forces kind of end up working out in some way. Alex Ossola: That was WSJ reporter, Belle Lin. Thank you so much, Belle. Belle Lin: Thanks for having me. Alex Ossola: And that's it for What's New Sunday for June 15th. Today's show was produced by Charlotte Gartenberg with supervising producer Michael Kosmides and deputy editor Chris Zinsli. I'm Alex Ossola and we'll be back tomorrow morning with a brand new show. Until then, thanks for listening.