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llama.cpp · b12054

ggml-zdnn: share buffers with host (#31481) Signed-off-by: Aaron Teo **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12054/llama-b12054-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b12054/llama-b12054-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12054/llama-b12054-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12054/llama-b12054-bin-ubuntu-x64.tar.gz) - [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/downlo

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llama.cpp · b12053

ggml : use `vm_allocate` instead of `posix_memalign` on all Apple platforms (#31437) * ggml : use `vm_allocate` instead of `posix_memalign` on iOS * ggml : use vm_allocate on all Apple platforms, run test-host-buffer-release by default **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12053/llama-b12053-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b12053/llama-b12053-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12053/llama-b12053-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://

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llama.cpp · b12050

vulkan: improve small-n split-K selection on RDNA3 and RDNA4 (#30146) * vulkan: improve small-n split-K selection on RDNA3 and RDNA4 * Clean up test cases by removing commented code Removed tests as requested **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12050/llama-b12050-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b12050/llama-b12050-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12050/llama-b12050-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.c

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llama.cpp · b12048

sycl : fast ggml_sycl_comm_exchange() on Intel Arc Pro B70s (#30956) * Update ggml-sycl.cpp Increases -sm tensor prompt eval t/s by +19% with zero PPL change. * Update ggml-sycl.cpp Replace first pair of wait() calls with ext_oneapi_submit_barrier(). The wait() calls was discovered to cause MTP degradation. * Update ggml-sycl.cpp Adding comm_exchange function pointer to switch between 2 and 4 buffer ggml_sycl_comm_exchange versions @ initialization time (versus hot path) controlled by SYCL_ENABLE_DEFAULT_CONTEXTS=1 setting. * Update ggml-sycl.cpp adding back 2nd half of 4-buffer free. * Update ggml-sycl.cpp Removing extra whitespace. * Update ggml-sycl.cpp Excluding Windows until it is validated on Windows. **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](h

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llama.cpp · b12047

sycl: dmmv code cleanup (#31325) * sycl: fold q8_0 reorder dmmv into the generic template * sycl: template the dmmv non-K launchers * sycl: template the dmmv K-quant launchers **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12047/llama-b12047-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b12047/llama-b12047-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12047/llama-b12047-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12047/llama

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llama.cpp · b12038

ggml : fix clang-cl build with AVX512 BF16 (#31276) * Correctly gate immintrin.h inclusion when building with clang-cl and avx512bf16 * ggml : explicit vector casts for clang-cl **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12038/llama-b12038-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b12038/llama-b12038-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12038/llama-b12038-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12038/lla

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Morning Briefing: Apple Intelligence will launch in China with iOS 27.3

Apple Intelligence will launch in China with iOS 27.3; Apple’s bargaining power over flash memory has been suppressed; the official Claude Code extension was implanted with a backdoor; the U.S. FCC has banned Chinese laboratories from certifying electronic products destined for the U.S.; Baidu Cloud uses magnetometer data to bypass “shake-to-ad” permissions; $6.3 billion worth of assets were stolen from Binance; just take a look at this brief news roundup; recent updates from Minority Report; good articles you might have missed; read the full article

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After talking to many parties, why did Apple ultimately choose only Alibaba?

On October 31, the official announcement finally came: Apple and Alibaba have formally reached a cooperation agreement, allowing Chinese users to directly use Alibaba’s Qwen within Siri, writing tools, and visual intelligence applications. After more than two years of waiting, Apple Intelligence is finally coming to mainland China. Interestingly, over the past two years, numerous domestic large-model companies—Baidu, Tencent, ByteDance, DeepSeek, Zhipu…—have all been linked to Apple in one way or another. So why was it only Alibaba’s Qwen that ended up “winning the prize”? In fact, if we look closely, we’ll find that Apple had no real choice but to go with Alibaba. 01. Compliance Is the First Barrier Overseas, Apple Intelligence’s main partners are OpenAI and Google. But in China, neither of these companies’ models is available. However, this doesn’t mean that models which are usable domestically and properly registered can simply be integrated into Apple Intelligence; they still require separate on-device generative AI service registration. Meanwhile, as a hand...

谈了一圈,为什么苹果最后只能选阿里?
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llama.cpp · b12032

sycl: Try PkgConfig for LevelZero includes / libs (#31076) **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12032/llama-b12032-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b12032/llama-b12032-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12032/llama-b12032-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12032/llama-b12032-bin-ubuntu-x64.tar.gz) - [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12032/

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llama.cpp · b12029

mtmd : fix InternVL CLS token order (#30886) **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12029/llama-b12029-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b12029/llama-b12029-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12029/llama-b12029-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12029/llama-b12029-bin-ubuntu-x64.tar.gz) - [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12029/llama-b12029-b

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llama.cpp · b12028

tests : enable Gemma 4 in `test-llama-archs` (#31401) * tests : enable Gemma 4 in `test-llama-archs` * tests : use GQA for Gemma 4 in `test-llama-archs` **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12028/llama-b12028-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b12028/llama-b12028-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12028/llama-b12028-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12028/llama-b12028-bin-ubuntu-x64.

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llama.cpp · b12027

llama : enable tensor split for LFM3 (#31431) Assisted-by: Claude Opus 5.5 **Website:** - **Attestations:** - **macOS/iOS:** - [macOS Apple Silicon (arm64)](https://github.com/ggml-org/llama.cpp/releases/download/b12027/llama-b12027-bin-macos-arm64.tar.gz) - macOS Apple Silicon (arm64, KleidiAI enabled) [DISABLED](https://github.com/ggml-org/llama.cpp/pull/23780) - [macOS Intel (x64)](https://github.com/ggml-org/llama.cpp/releases/download/b12027/llama-b12027-bin-macos-x64.tar.gz) - [iOS XCFramework](https://github.com/ggml-org/llama.cpp/releases/download/b12027/llama-b12027-xcframework.zip) **Linux:** - [Ubuntu x64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/download/b12027/llama-b12027-bin-ubuntu-x64.tar.gz) - [Ubuntu arm64 (CPU)](https://github.com/ggml-org/llama.cpp/releases/

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[Digital Intelligence Weekly Report] Zhang Yiming has topped the list of China’s richest individuals with a fortune of 670 billion yuan, setting a new record for China’s wealthiest person; Alibaba has partnered with Apple to integrate Qwen into Apple’s smart ecosystem; Anthropic has filed its IPO registration documents, planning to list on Nasdaq under the ticker symbol “ANT.”

(October 26–31) OpenAI is reportedly lowering its target for the next round of fundraising by $10 billion, aiming to raise $20 billion at a valuation of $1.25 trillion; Google has launched its latest world model, Genie 4, doubling the simulation duration to two minutes and achieving synchronized audio-video generation for the first time; Meta plans to raise $35 billion and intends to issue shares worth $60 billion; CITIC Securities: GPT-6 Astra has entered robot control, marking a major turning point for physics-based AI...

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