Yeah. We came from a time of incandescent light bulbs taking 60W per bulb with fixtures needing 2-3 bulbs. Turning those off regularly mattered. The obsession people have with turning their modern electronics off in the name of power savings is silly if not outright insane.
Electronics components do not like to have power states change frequently. Turning devices on and off frequently will decrease lifespan of device. Sure, you are saving money on your electricity bill, but at some point, the savings and environmental impacts are outweighed by the cost of the device/parts and the impact during manufacturing.
Also, don’t forget phantom draws from the power supplier is a real thing, which will most likely exceed your 5 zeros threshold. So that microwave oven, and laundry dryer? Don’t forget to unplug those after each use.
In the same train of thought, BMW and Tesla execs need to find courage and remove turn signals.
Years of experience tells me I should generally avoid Apple’s first generation product. First generation Apple Watch, first generation iPhone, etc. left a lot to be desired. I wouldn’t want to try the first generation Apple modem in a daily driver iPhone.
Everything eventually dies off, or transforms into something not serving our needs and the legacy version dies off; free, paid, proprietary or open source, doesn’t matter. The only thing we can do is position ourselves in such a way that when it happens, not if, we are ready to take what we’d need to the next solution that will serve our needs.
My Brother laser printer will out live me; just like my Dad’s Brother laser printer before me; just like his Dad’s Brother laser printer before him… ok I kid about the grandfather case, but we’ve been using all of two Brother laser printers since the late 80s til now. Brother HL-10 (late 80s) and Brother MFC-L8900CDW (Pre-COVID). These things are built like tanks and isn’t likely to go anywhere in the foreseeable future.
*Product Owner
Project manager moves the project along, product owners are the ones making product direction decisions.
Sure. But the capacitors in the devices do make a pop and the fragments/shrapnels from the damaged devices depart from their physical location at pace that I would not be comfortable with.
If I’m dealing with a spicy pillow situation, the technical definitions as to whether or not something counts as an explosion is the last of my concern.
Most portable electronics today use some variation of lithium ion batteries, which when it becomes unstable can combust/explode if mishandled. However, devices generally have thermal management software and hardware, as well as multitude of other safety mechanisms like power management systems to handle charge regulation. Unless you intentionally puncture your batteries, they’re not likely to cause any problems on their own.
I did in fact read the paper before my reply. I’d recommend considering the participants pool — this is a very common problem in most academic research, but is very relevant given the argument you’re claiming — with vast majority of the participants being students (over 60% if memory serves; I’m on mobile currently and can’t go back to read easily) and most of which being undergraduate students with very limited exposure to actual dev work. They are then prompted to, quite literally as the first question, produce code for asymmetrical encryption and deception.
Seasoned developers know not to implement their own encryption because it is a very challenging space; this is similar to polling undergraduate students to conduct brain surgery and expect them to know what to look for.
Completely agree with you on the news vs science aspect. At the same time, it is worth considering that not all science researches are evergreen… I know this all too well; as a UX researcher in the late 2000s / early 2010s studying mobile UX/UI, most of the stuff our lab has done was basically irrelevant the year after they were published. Yet, the lab preserved and continues to conduct studies and add incremental knowledge to the field. At the pace generative AI/LLMs are progressing, studies against commercially available models in 2023 is largely irrelevant in the space we are in, and while updated studies are still important, I feel older articles doesn’t shine an appropriate light on the subject in this context.
A lot of words to say that despite the linked article being a scientific research, since the article is dropped here without context nor any leading discussion, it leans more towards the news spectrum, and gives off the impression that OP just want to leverage the headline to strike emotion and reinforce peoples’ believes on outdated information.
While I agree “they should be doing these studies continuously” point of view, I think the bigger red flag here is that with the advancements of AI, a study published in 2023 (meaning the experiment was done much earlier) is deeply irrelevant today in late 2024. It feels misleading and disingenuous to be sharing this today.
I know I have some hearing loss; Mimi hearing test confirmed degrading further over the years. But I’m okay with waiting til 3rd gen Pro come out before I upgrade from the first gen Pro.
You don’t always have a choice as it is dictated by the service provider, but whenever possible, disable SMS based MFA and enable TOTP or something else. SMS based MFA is susceptible to SS7 MitM attack.
Linguistic question: is it misogyny if it originates from women? Reason for asking is because I genuinely don’t know if it is like racism against own race kind of situation, and the article appears to have been written by two women.
Edit: lol Lemmy showing their true colors. Would rather dodge and avoid the hard questions, downvote and continue to circle jerk themselves about anti-AI. Love it. Keep it up Lemmy!
https://developer.apple.com/documentation/endpointsecurity
This API allows for security applications to monitor for potentially malicious behaviors. As it is part of the System Extension and DriverKit, it shouldn’t crash the system kernel… but you do need to request for entitlement from Apple to build apps using that API (honestly probably a good thing, prevents spywares using it to spy on people).
Where you work and what you do hardly matters in this case — unless you choose to send your request to ChatGPT (or whatever future model that gets included in the same model), everything happens on device or in the temporary private compute instance that’s discarded after your request is done. The on device piece only takes Neural Engine resources when you invoke and use it, so the only “bloat” so to speak is disk space; which it wouldn’t surprise me if the models are only pulled from the cloud to your device when you enable them, just like Siri voices in different languages.
I wonder if they’re gonna offload Siri requests to the private compute infrastructure to bring some of the Apple Intelligence features to “older devices” (I’m looking at my memory constrained iPhone14 Pro Max for example).
I wonder if it’s more because they’re hitting capacity limits as result of physical limitations of memory on package design — physical distance resulting in potentially unbalanced performance due to some memory simply doesn’t have physical space that could deliver consistent performance, thus limiting capacity as an idea that crossed my mind.
So less so of a “it’ll be more performant” thing, but “this was great but we have to back paddle because we need more memory than the space could permit” kind of thing?