Dyslexic Privacy & Foss advocate, and Linux user.

Ace 🖤🩶🤍💜

Anti Commercial-AI license (CC BY-NC-SA 4.0)

  • 13 Posts
  • 522 Comments
Joined 1 year ago
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Cake day: June 14th, 2023

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  • On the addiction aspect, the addiction stems from purely psychological, at least in my experience, unlike other drugs like nicotine which is chemical/physical addiction. I’ve smoked weed and tobacco/vapes, was at one point dependent on weed but was able to quit cold turkey and haven’t felt any cravings since.
    Nicotine on the other hand is very much a constant battle that I feel like I could relapse at time, just a wiff of second hand smoke is enough to give me very strong withdrawal jitters. Infact, I feel that a heavy contributer of my weed dependency was a transference of my nicotine addiction.
    In that sense, targeting mental health issues through therapy and appropriate prescriptions for co-occurring mental health conditions will likely help kick cannabis dependence.










  • Yeah, OP should probably add “Rust-based” or specific Epoch to avoid confusion.

    like 5 years or more

    They’re really good & extremely dedicated devs with lots of experience working on it, so I think that’s a little bit of an underestimation, I think it’s within the possibly of getting there within 5 years, maybe not exactly 1:1 ofc. However, they’ve really put in a lot of thought into base of the project, and in my experience having a strong well designed base can propell future development forward much faster than initial estimates. Even now, they’ve been smashing mile stones much faster than expected and if they keep their current trajectory at a steady rate I believe it’s possible the meet some level of parody within a 5 year goal. Ofc, anything can happen so only time will tell. Also, considering the fact that they’re not having to deal with the X11 tech debt…







  • However, to process more sophisticated requests, Apple Intelligence needs to be able to enlist help from larger, more complex models in the cloud. For these cloud requests to live up to the security and privacy guarantees that our users expect from our devices, the traditional cloud service security model isn’t a viable starting point. Instead, we need to bring our industry-leading device security model, for the first time ever, to the cloud.

    As stated above, Private cloud compute has nothing to do with the OS level AI itself. ರ⁠_⁠ರ That’s in the cloud not on device.

    While we’re publishing the binary images of every production PCC build, to further aid research we will periodically also publish a subset of the security-critical PCC source code.

    As stated here, it still has the same issue of not being 100% verifiable, they only publish a few code snippets they deam “security-critical”, it doesn’t allow us to verify the handling of user data.

    • It’s difficult to provide runtime transparency for AI in the cloud.
      Cloud AI services are opaque: providers do not typically specify details of the software stack they are using to run their services, and those details are often considered proprietary. Even if a cloud AI service relied only on open source software, which is inspectable by security researchers, there is no widely deployed way for a user device (or browser) to confirm that the service it’s connecting to is running an unmodified version of the software that it purports to run, or to detect that the software running on the service has changed.

    Adding to what it says here, if the on device AI is compromised in anyway, be it from an attacker or Apple themselves then PCC is rendered irrelevant regardless if PCC were open source or not.

    Additionally, I’ll raise the issue that this entire blog is nothing but just that a blog, nothing stated here is legally binding, so any claims of how they handled user data is irrelevant and can easily be dismissed as marketing.



  • Their keynotes are irrelevant, their official privacy policies and legal disclosures take precedence over marketing claims or statements made in keynotes or presentations. Apple’s privacy policy states that the company collects data necessary to provide and improve its products and services. The OS-level AI would fall under this category, allowing Apple to collect data processed by the AI for improving its functionality and models. Apple’s keynotes and marketing materials do not carry legal weight when it comes to their data practices. With the AI system operating at the OS level, it likely has access to a wide range of user data, including text inputs, conversations, and potentially other sensitive information.