| title | The Best Cloud GPU Providers for Artificial Intelligence & Machine Learning | |||
|---|---|---|---|---|
| tags |
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| http://releases.linaro.org/components/toolchain/binaries/4.9-2016.02/aarch64-elf/gcc-linaro-4.9-2016.02-i686-mingw32_aarch64-elf.tar.xz | |
| http://releases.linaro.org/components/toolchain/binaries/4.9-2016.02/aarch64-elf/gcc-linaro-4.9-2016.02-i686-mingw32_aarch64-elf.tar.xz | |
| http://releases.linaro.org/components/toolchain/binaries/4.9-2016.02/aarch64-elf/gcc-linaro-4.9-2016.02-x86_64_aarch64-elf.tar.xz | |
| http://releases.linaro.org/components/toolchain/binaries/4.9-2016.02/aarch64-elf/gcc-linaro-4.9-2016.02-x86_64_aarch64-elf.tar.xz | |
| http://releases.linaro.org/components/toolchain/binaries/4.9-2016.02/aarch64-elf/gcc-linaro-4.9-2016.02.tar.xz | |
| http://releases.linaro.org/components/toolchain/binaries/4.9-2016.02/aarch64-elf/gcc-linaro-4.9-2016.02.tar.xz | |
| http://releases.linaro.org/components/toolchain/binaries/4.9-2016.02/aarch64-linux-gnu/gcc-linaro-4.9-2016.02-i686-mingw32_aarch64-linux-gnu.tar.xz | |
| http://releases.linaro.org/components/toolchain/binaries/4.9-2016.02/aarch64-linux-gnu/gcc-linaro-4.9-2016.02-i686-mingw32 |
UPDATED: 2026-07-28
- Reddit mirror: https://www.reddit.com/r/iOSDowngrade/comments/j1x7iv/downgrade_and_dualboot_status_of_almost_all_ios/
- GitHub Gist mirror: https://gist.github.com/LukeZGD/9d781f1b03a69fa46869384a9407a41a
- As of updating this post, there is now a free downgrade tool that utilizes a SEP exploit released for A9-A10X devices, turdus merula: https://sep.lol/
- Untethered with blobs guide: https://ios.cfw.guide/turdusmerula/
- Tethered guide: https://ios.cfw.guide/turdusmerula-tethered/
- Save SHSH blobs for signed iOS versions using blobsaver or Legacy iOS Kit
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| ## Tujuan | |
| - Membangun website portofolio programmer menggunakan Next.js dengan pendekatan vibe coding | |
| - Menampilkan kemampuan engineering, cara berpikir system design, dan pengalaman proyek nyata | |
| - Target audiens: recruiter, technical reviewer, dan klien potensial | |
| ## Teknologi | |
| - Next.js (App Router) | |
| - React | |
| - TypeScript | |
| - Tailwind CSS |
UPDATE: A faster (20x) approach for running Stable Diffusion using MLIR/Vulkan/IREE is available on Windows:
conda create --name sd39 python=3.9 -y- Amnezia VPN (OpenVPN & WireGuard protocols) - Windows, MacOS, iOS, Android, Linux (no ARM support)
- Anywherelan (TCP & QUIC) - Windows, Linux, Android, MacOS
- boringproxy (in-house developed "NameDrop" protocol) - Windows, MacOS, Linux, FreeBSD, OpenBSD
- boringtun (WireGuard protocol) - MacOS, Linux (mobile clients not open source)
- Brook (in-house developed "Brook" protocol as well as WebSocket Secure, SOCKS5, and QUIC protocols) - Windows, MacOS, Linux, OpenWrt (mobile clients not open source)
- Chisel (SSH protocol) - Windows, MacOS, Linux
- cjdns (in-house developed "CryptoAuth" protocol) - Windows, MacOS, Linux, FreeBSD, N
| name | cognitive-rhythm-writing |
|---|---|
| description | 説明的な文章に緩急を設計するための規範。緩急を装飾ではなく認知モードの切替(観察→逡巡→断定→再観察)と未回収の緊張の管理として扱い、文の拍、段落の密度波形、節の入り方、緩みと駄文の判別、執筆後の機械的な点検手順を定める。読み物として読ませたい章・記事・解説文を生成するとき、または「密度はあるが平坦でおもしろくない」文章を診断・修正するときに使用する。 |
密度の高い文章が退屈になるのは、情報が多いからではなく、全文が同じ認知モードで書かれているからである。 この規範は、読者の認知モード(観察する、迷う、確信する、確かめ直す)を意図的に切り替え、常に「続きを読む理由」を維持することで、読み進める推進力を作る。
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| Meta (Instagram, Facebook) | |
| // Узлы | |
| 157.240.253.174, 157.240.253.172, 157.240.253.167, 157.240.253.63, 157.240.253.32 | |
| 157.240.252.174, 157.240.252.172, 157.240.252.167, 157.240.252.63, 157.240.252.38 | |
| 57.144.112.34, 57.144.110.1, 157.240.205.174, 87.245.223.97 | |
| // Подсети | |
| 213.102.128.0/24 | |
| 204.15.20.0/22 | |
| 199.201.0.0/16 |
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| #include <stdio.h> | |
| #include <stdlib.h> | |
| #include <string.h> | |
| #include <unistd.h> | |
| #include <sys/socket.h> | |
| #include <netinet/in.h> | |
| #include <arpa/inet.h> | |
| #define SERVER_ADDR "172.217.160.99" | |
| #define SERVER_PORT 80 |
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