Their most recent iPhone which had no major AI advertisements associated with it GAINED market share over competition[1]
They have no ground to make up on AI, and changing their operating system to center on AI would piss off every iPhone user I know outside of tech, and probably half of them within tech.
One could (naively) hope that goliath corporations used their massive lobbying power for good. There was a time, long, long, ago, Google refused to operate in China because it refused to censor itself.
Since no matter how much power they have they won't behave good let's go ahead and regulate the shit out of them and tear them into tiny mangable pieces.
If we had a thousand different smaller federated platforms it would be harder for governments to impose rules on them anyways.
It's lower than it sounds: this time includes even relatively gentle exercise (a brisk walk) and although it's not explicit here most other uses of similar metrics I've seen generally count hard cardio minutes as 2x, e.g. the NHS guidelines (https://www.nhs.uk/live-well/exercise/physical-activity-guid...) this references are 150 mins moderate exercise or 75 mins vigorous.
In my experience lifting weights helps you grow enough muscle to actually be able to do 600 minutes of cardio.
With small/insufficient muscle size, you simply run out of stored glycogen before you get tired cardiovascularly.
> Because if you need to fit 560 minutes of cardio and then also fit weight lifting 3 times a week that's a lot of time working out
Proper exercise is absolutely a lifestyle change and a big commitment. Not only do you have to exercise several hours a week, but also eat healthier macros and fix your sleep to make sure most of the benefits stick and aren't wasted.
People try to half-ass it all the time by doing weird diets or going on 15 minutes walk during their lunch break, and yes it's better than nothing, but not by much.
I don't understand how walking in the study is considerate moderate.
Like my heartrate for sure goes higher when lifting weights than when I walk.
If I walk fast, it might get closer, but I am not that confident.
300 minutes of HIIT per week are equal to 10 HIIT sessions per week, I would argue that's outright impossible, the body cannot handle that, I don't think even an Olympic athlete can handle more than 3 times per week HIIT.
Vigorous might be possible, that's still 5 times 1 hour cardio sessions, on top of which you have to add 3 sessions of weight lifting for bone density, on top of which you have to add balance training and stretching.
There isn't enough time in a day to do that if you work, let alone if you have kids
Vigorous would be Z2/3 cardio, so like 120-160 BPM for most adults. Moderate would be Z1 90-120.
Once you are capable of doing cardio consistently in Z4/5 with HIIT and tempo training you really don't need to worry about "am I doing enough exercise."
I mean, according to this study I would still need that. I can average 165 BPM (because I'm trained, used to average 175) and max 180 in a session. But that's all the cardio I get. I walk 20 minutes per day to bring the kids to school, and lift weight.
Weight lifting doesn't count, but I tested yesterday and I average 110 bpm during a workout (it's constant ups-and-downs). Based on that, it would count for moderate exercise.
The time investment is steep if we cannot count weight lifting, there is no escape.
>With small/insufficient muscle size, you simply run out of stored glycogen before you get tired cardiovascularly.
You can eat carbs during cardio ("fueling") though it's unlikely an issue doing 600 mins a week. Muscles store 15g of glycogen per 1kg (more for trained athletes) , which amounts to 60 (k)calories. In aerobic process with COP ~ 25% these nicely convert to output energy of 60 kJ. To produce this much output over 90 minutes you need to push power of ~11 watt. Elite athletes have FTP (functional threshold power) around 6 w/kg. It's over the entire body mass, not just muscle, but even if you are pushing 50% body fat, you can be pretty confident you have enough glycogen for 90 min of aerobic exercise at your FTP (also liver holds/can produce on demand quite a lot of glycogen and aerobic process will use fat for energy as well). Even if you do 200 minutes 3 times a week instead of doing 90 minutes every day you can get by staying in under 3 w/kg power zone, which is still greater than most people's FTP (and even fewer people can hold this power over 3 hours).
In my own experience, no. Strictly cardio. The number of squats you'd have to do to constitue even five minutes of vigorous activity is practicably impossible.
Lifting weights could certainly count/classify as moderate activity though, just without as much 'bang for your buck' as dedicated aerobic exercise.
It would depend on how high your heart rate goes and stays during lifting weights, because everyone lifts weights differently. I would say that it's not likely based on my own personal experience, and seeing others' time ratios for lifting vs resting.
No of course, but to keep bone density up as you age, weight lifting is your best bet, while 560 minutes of cardio is your best bet for the heart it seems
Up and down your stairs at home, walking to shops or work, or dedicated gym / biking / walk time before bed is basically it. If you have a tight schedule that can be very hard and if you live in the wrong type of housing it's also harder unfortunately
Two hours of cardio into your daily routine is ~40% higher than the upper bound suggested by the article.
A lot of people can get this level of exercise by walking or cycling to work. Even for those people that can’t, it’s something to consider the next time you are changing jobs or moving house.
10h/week of moderate exercise should be straight forward. moderate exercise includes stuff like cleaning and other chores, playing with your kids, walking to the corner store, et cetera.
The study specifically includes walking in their list of exercises. You probably do want a mix of exercises -- 90 minutes of vigorous exercise a week is a standard recommendation, but 10h a week of vigorous exercise is probably contraindicated for the average 57 year old in the study.
Walking is good exercise for anybody who is out of shape.
I don't think 10 hours per week is unreasonable or impossible. And I don't see why you need to be a hypochondriac or narcissist to prioritize physical activities. The article does not define the required level of exertion, but I assume things like biking, ping-pong/pickleball, soccer, etc all count. A lot of physical activity can be cheap, though it is more challenging in the winter.
> Young people increasingly hate AI[1], and children already struggle with AI-enabled harassment that traumatizes them and disrupts their learning. And studies show kids are offloading learning onto AI models, undermining their education and social development.
Honestly, yeah, fair point. There's enough money in tech to keep the party going for who knows how long.
The housing market was unsustainable for a long time and went even further up before it crashed. The smart people who called that have lost a lot of money making reasonable bets against things which should have crashed.
The difference now is rich people have positively stupid amounts of money to keep stupid things going for even stupidly longer periods of time.
that's true, but if calling a crash was that easy, it would have been priced into the market already. regardless of when the crash occurs, I think we can all agree that the current form of AI is financially unsustainable. How much would you allow if you paid its true cost? $300/mo, $500/mo $1k? for intern-level slop.
Also, who/what group is pushing for this change internally and what is the opinion of the team implementing it? What is the road map and vision for AI in VSCode?
The automated ones don't care, but it absolutely matters for the informal credit assignment process that actually runs academia.
I really wish we had a better way to "name" papers. Big clinical trials often have an acronym (often hilariously forced: "CXCessoR4"). That takes the emphasis off (one) lead author but it's implausibly hard to make up one for every research paper.
the one where i think of a particular piece of work, and i know who did it, then tell a student "oh, see if $author's group published anything else about this."
i'm not using software for this if this is off the top of my head, and it's the sort of thing that, at scale, hurts the forgotten author and their students
There’s a cute study demonstrating this effect by comparing career success in economics and psychology.
The author lists for economics papers are traditionally alphabetized, so more of your output will be known by your name if it occurs early in the alphabet. Abbie Ableson gets lots of mentions as "Ableson et al." while Zhang Zhu will almost always be relegated to the "et al". If name recognition matters, you’d expect successful academic economists to be clustered at the beginning of the alphabet—-and this appears to be true.
I don’t know that everyone would label it like that, but it’s inarguably true that success in academia comes from your reputation/name recognition.
Metrics are often attempts to formalize this but they’re not how most people actually make decisions: nobody is inviting seminar speakers or choosing collaborators because they have a high h-index. If anything, it goes the other way: name recognition gets you invited to speak or collaborate, which makes more people aware of your work, which boosts metrics.
That is false. The first thing everyone (at least everyone in CS---IDK about other fields) looks at are h-indexes, impact factors, number of papers per year, university rankings, and similar metrics. Researchers are most definitely selecting collaborators with a high h-index.
Cmon…We’re saying that a certain style of reference gives her less credit than might be due. Not none at all.
One paper doesn’t make a career (she wrote many dozens), it’s not always cited weirdly, and even if it is, some people may remember the coauthors (as they should).
But since you mention lived experience, I’ll add that I’ve certainly been asked if I’m "even aware" of results from co-authored papers where my name was listed second—-and I don’t think this is very uncommon experience.
It is also unclear to me how much real debt they carry. They have famously been signing many deals: RAM, datacenters, maybe nuclear power plants -I no longer know what is a joke or not. They must be carrying hundreds of billions in paper debt obligations, which is tough to payback at $20B revenue.
> I do think we are in a situation where everybody knows that healthcare costs need to come down that doctors and medical professionals are spread too thin
The problem is over optimization AND lack of people. As soon as there's an excuse for less staff because we have "digital record keeping" we're going to have less money and even less staff.
Having in person or remote notetakers is a great entry level job to do before you become a doctor. It could be boring but at least the terms are familiar and you get to know the person you're working with.
It's not like healthcare is an impossible problem to solve that needs more tech, we just refuse to spend money on people and (inexplicably) cannot help but dump tons of money into tech.
> The problem is over optimization not lack of people or resources. As soon as there's an excuse for less staff because we have "digital record keeping" we're going to have less money and even less staff.
At least in my area, it seems like lack of people is a problem. Sometimes it's lack of people because the pay is too low, but more of it it's lack of people because the pool of qualified people is too small. And increasing pay increases healthcare costs, and healthcare costs are already very high. If digital tools allow the available staff to see more patients while delivering the same level of care (and without burning out the providers), then that means more capacity and less times people want to see a doctor, but can't. Similar arguments for same number of patients ans greater level of care. If it's more patients, but worse level of care, then it becomes tricky.
The lack of people is too low because the organization tasked with accrediting new doctors has a financial incentive to its current members to keep the pool of doctors low.
Like... this has things that AI will seemingly always be terrible at?
At some point the level of detail is utter garbo and always will be. An artist who was thoughtful could have some mistakes but someone who put that much time into a drawing wouldn't have:
- Nightmarish screaming faces on most people
- A sign that points seemingly both directions, or the incorrect one for a lake and a first AID tent that doesn't exist
- A dog in bottom left and near lake which looks like some sort of fuzzy monstrosity...
It looks SO impressive before you try to take in any detail. The hand selected images for the preview have the same shit. The view of musculature has a sternocleidomastoid with no clavicle attachment. The periodic table seems good until you take a look at the metals...
We're reconfiguring all of our RAM & GPUs and wasting so much water and electricity for crappier where's Waldos??
No, it won't be. I did indeed get the same problems when trying to generate my own image for it.
However as someone who's mucked about with local image generation as well - I'd say that this is a problem with their implementation, it doesn't resolve fine detail because majority of requests it won't matter/it drastically increases compute requirements.
With local image generation bad features/incorrect fingers/disfigurement etc has been solved for a long time.
I think their new process involves multiple steps including sketching/fleshing out the idea before adding detail. The step that would fix this would be outpainting or similar to tile based upscaling.
From what I understand of image generation models they also struggle with fine detail in general because they aren't really trained for that. However for each tiny chunk of a detailed image like that there's nothing to say they can't allocate a 500x500 chunk for it to work in as its "idea/reference space" and then transpose that into the main image being generated - i.e. generate image features separately rather than all together.
They have no ground to make up on AI, and changing their operating system to center on AI would piss off every iPhone user I know outside of tech, and probably half of them within tech.
[1] https://www.macrumors.com/2026/05/13/apple-q1-market-share-g...
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