Not to bash on x86 or anything, but that's an outlier. Very overclocked with a compressor chiller or similar. Also the single-threaded and multi-threaded scores are the same; it's probably not stable at full load across all cores.
I don't think that's really representative of the architecture at scale, unless you're making the case for how overclockable (at great power/heat cost) x86 is.
Aaackshually, the Sudden Motion Sensor was introduced on 2005 in the PowerBook G4, and continued through the intel MacBooks with hard drives.
While officially undocumented, people figured out how to access it back then, with novel uses like smacking your MacBook to change spaces (virtual desktops) or swinging the Mac around to make lightsaber noises.
(I should know, I was in university back then and swung my Mac around like an idiot, lol.)
On the first Retina MacBook Pro 15" in 2012, and moving forward with all MacBooks that were SSD-only, they removed the SMS as it was not needed.
To my knowledge, this is the first time we're hearing that Apple Silicon machines have an accelerometer on the SoC, officially or otherwise. It's also certainly not branded or marketed as the SMS was. (https://support.apple.com/en-us/100871)
Strange, I am running it on a Snapdragon 8 Gen 2 (Z Fold 5), and it's totally fine for me. (If anything, it's a little too good at staying in the background; if you have private tabs open it insists on persisting in memory.)
Not saying your issues aren't real, but rather maybe there's another app or your manufacturer's flavor of Android that's causing the issue (like those aggressive background killers).
As for Edge, I used to be a big fan, but when they finally introduced history and tab syncing in 2021, it didn't have E2EE, and it still doesn't, which I find inexcusable. All the other major browser vendors offer it, even Google (though you have to opt in).
Interesting project. I've been thinking about a tool like this; I might be following a multi-volume book series, but it's been years since the last book. When I pick up the latest volume, sometimes there are details that I just can't remember (small details that may turn out important, relationships between minor characters, etc.)
I would just consult a fan wiki, but that doesn't work if the title isn't popular or if the book is too new. This seems like the perfect tool if it can somehow maintain coherency across multiple books.
That said, I do understand (and share) a lot of the frustration and hesitancy that people here have around AI tools; I don't want an app that takes away the act of thinking (like that post recently about teachers using AI to make banal lesson plans, and students in turn using AI to write essays -- what is the point then?). I hope you don't take it too much to heart, and try to showcase use cases where your app can actually provide value.
Another piece of feedback is it would be great if this could be all packaged up into a docker image that would make it easy to deploy on a local machine (or like on a home server/NAS). Right now it seems there are still a lot of manual steps and scaffolding.
Why would you need to retrain the model or update the SFT? You could just dynamically update the system prompt to include things it should advertise.
You could even have something like an MCP to which the LLM could pass "topics", and then it would return products/opinions which it should "subtly" integrate into its response.
The MCP could even be system-level/"invisible" (e.g. the user doesn't see the tool use for the ad server in the web UI for ChatGPT/Claude/Gemini.)
> Used as supplied, Google Tag Manager can be blocked by third-party content-blocker extensions. uBlock Origin blocks GTM by default, and some browsers with native content-blocking based on uBO - such as Brave - will block it too.
> Some preds, however, full-on will not take no for an answer, and they use a workaround to circumvent these blocking mechanisms. What they do is transfer Google Tag Manager and its connected analytics to the server side of the Web connection. This trick turns a third-party resource into a first-party resource. Tag Manager itself becomes unblockable. But running GTM on the server does not lay the site admin a golden egg...
By serving the Google Analytics JS from the site's own domain, this makes it harder to block using only DNS. (e.g. Pi-Hole, hosts file, etc.)
One might think "yeah but the google js still has to talk to google domains", but apparently, Google lets you do "server-side" tagging now (e.g. running a google tag manager docker container). This means more (sub)domains to track and block. That said, how many site operators choose to go this far, I don't know.
There are commercial services that provide residential proxies, i.e. you get to tunnel your scraper or bot traffic through actual residential connections. (see: Bright Data, oxylabs, etc.)
They accomplish this by providing home users with some app that promises to pay them money for use of their connection. (see: HoneyGain, peer2profit, etc.)
Interestingly, the companies selling the tunnel service to companies and the ones paying home users to run an app are sometimes different, or at least they use different brands to cater to the two sides of the market. It also wouldn't surprise me if they sold capacity to each other.
I suspect some of these LLM companies (or the ones they outsource to capture data) some of their traffic through these residential proxy services. It's funny because some of these companies already have a foothold inside homes (Google Nest and Amazon Alexa devices, etc.) but for a number of reasons (e.g. legal) they would probably rather go through a third-party.
> The fact that they let law enforcement know when someone is stalking someone with an AirTag shows that the data is available to them.
Not technically correct. Apple devices (and Android phones with the appropriate app) detect if an unknown AirTag is moving with them and makes it home, possibly signalling a stalking attempt.
The heuristics for this happen locally; Apple isn't "aware" of this happening. That said, when you first set-up an AirTag, the serial is tied to your account. Therefore, when you physically find an unknown AirTag and report it to law enforcement, they can then subpoena (or get a warrant?) Apple for information on the AirTag owner's identity.
The serial itself, and any personal identifiers, are not used in the locating process, however.
This is well documented in the paper above, in articles, as well as in reverse engineering efforts.
Are we talking about the same thing? If I reboot manually then I don't get notifications until I enter my pin. But if my phone does the auto-reboot I do get notifs as usual.
That might be what's informally called a "respring", where the SpringBoard process is restarted.
SpringBoard is the process that shows the home screen, and does part of the lifecycle management for regular user apps. (i.e. if you tap an icon, it launches the app, if you swipe it away in the app switcher, it closes the app)
It is restarted to make certain changes take effect, like the system language. In the jailbreaking days, it was also restarted to make certain tweaks take effect. Of course, it can also just crash for some reason (which is likely what is happening to you)
It doesn't do the same thing security-wise, though. It's more of a "performance manager" (i.e. the same reason you'd reboot an old Windows PC).
BFU (Before First Unlock, as described in the article) on an Android is pretty similar to an iPhone (data still locked down, notifs don't come in, apps not running). Only after you unlock the first time can apps start running and notifs come in. This is also the state where it's more vulnerable to attackers (cops or criminals).
I have both an iPhone and an Android (currently a Z Fold 5, so a recent model). My Fold 5 does this auto-reboot every week. When it does reboot, my usual background apps come up, and notifs work as usual.
This means that Android (or perhaps more accurately, OneUI — Samsung's custom stuff on top of Android) is not doing a "full" reboot, and thus isn't providing the same security benefits as Apple is by putting the phone in a "BFU" or "cold" state.
Thanks for this! Some feedback on the images: perhaps you can "bake-in" a white background. Your diagrams are transparent PNGs, which is fine when the webpage is white, but when in dark mode it makes the images hard to read (as now we have black text and drawings against a dark background).
Wish I could find something like these but open-source. Both of them parse your browser history, fetch the pages, and build their own index. Would be a "safer" and more space/cpu-efficient alternative to apps like Windows Recall and Rewind.ai.
Not to bash on x86 or anything, but that's an outlier. Very overclocked with a compressor chiller or similar. Also the single-threaded and multi-threaded scores are the same; it's probably not stable at full load across all cores.
I don't think that's really representative of the architecture at scale, unless you're making the case for how overclockable (at great power/heat cost) x86 is.