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Apple Intelligence is run on-device and on Apple's Private Cloud Compute, it does not use OpenAI. Apple also allows ChatGPT (and later other models) to be called directly from Siri and writing tools, in cases where Apple Intellgence can't solve the task. That is for example for when some text should be composed, like a story or recipe. Nothing about this contradicts with what I have written previously.

Apple Intelligence doesn't use OpenAI at all. Siri and writing tools can tap into ChatGPT to compose text, e.g. create a story but that requires approval from the user. Claiming that all Apple did was "hastily shoved together selection of OpenAI API calls" is a misrepresentation of what Apple showed.

For some reason vim-airline in combination with neovim 0.10 has really bad performance when scrolling large files. This doesn't happen with neovim 0.9 and regular vim.

Lockdown mode is used to protect journalists or other people against malware like Pegasus. It doesn't get activated by being in an unusual location, it has to be manually activated in settings.

I would recommend reading the Geekbench 6 internals document, they explain the rational behind the change.

Geekbench 6 uses a “shared task” model for multi-threading, rather than the “separate task” model used in earlier versions of Geekbench. The “shared task” approach better models how most applications use multiple cores.

The "separate task" approach used in Geekbench 5 parallelizes workloads by treating each thread as separate. Each thread processes a separate independent task. This approach scales well as there is very little thread-to-thread communication, and the available work scales with the number of threads. For example, a four-core system will have four copies, while a 64-core system will have 64 copies.

The "shared task" approach parallelizes workloads by having each thread processes part of a larger shared task. Given the increased inter-thread communication required to coordinate the work between threads, this approach may not scale as well as the "separate task" approach.

Nothing about this is biased towards Apple. GB6 simply scales worse with more cores due to increased inter-core communication requirements.

https://www.geekbench.com/doc/geekbench6-benchmark-internals...

The M3 Pro had some downgrades compared to the M2 Pro, less performance cores and lower memory bandwidth. This did not apply to the M3 and M3 Max.

This article is highly misleading, making it sound like Siri is collecting data from apps and sending it to Apple. This is not the case, Siri Suggestions are fully on-device, though they can sync accross devices with mandatory E2EE. Apple never gets access to any of this data.

That's not true. Apple employees can see a video feed of your screen after you accept their support request (similar to screen sharing over FaceTime), but they can't interact with your phone remotely.