jekaé

Tomorrow.

Resign NOW @JensenHuang. You have sacrificed America’s national security and should be as far away from @nvidia as possible. Nvidia should lose all government contracts until you are no longer affiliated with the company.

S2Arm, a universal Nintendo Switch game porting engine, is now open source. Bring your own Switch games natively to iPhone, iPad and Mac (Android and HarmonyOS coming later). It's not an emulator: game code is rewritten to run as native ARM64, with graphics going straight to Metal. · One app holds your whole library
· Graphical launchers for Mac and Windows, with an AI interface that can drive them for you: a few clicks to build and install
· Built to support most Switch games out of the box: 211 games surveyed, with a 95% first-try build success rate. Switch 2 titles Fire Emblem, Ocarina of Time, Pokémon and Donkey Kong verified
· 4,700+ test runs on real iOS devices, 1,000+ on macOS
· Blazing-fast cold builds: Diablo III in just 6.4 minutes on a MacBook Air Honestly, we're far from fully prepared, and there will be plenty of problems. Please bear with us. Issues and PRs are very welcome: help us make it better. The repo also ships with a self-check, self-correct and self-repair toolkit for AI, so your AI assistant can help diagnose and fix problems, and you can get the games you love running and make them better together. Special thanks to the co-developers who came along for the ride: @0xDo0wee @corvuschen1211 @n06ody666 @ruterfu @m4123r0 @vickFunWorld @rustkeji73667 @peerless07 @imyinyx @nuanyy815 @foxmoonlight @jklauuu (and many more we didn't manage to list 😂) And to Ryujinx, nx2apple, nxnative and all our upstream open-source authors. S2Arm wouldn't exist without you. Have fun! github.com/jhaizhou-ops/S2Ar…

通用 Switch 游戏移植引擎 S2Arm 已开源。 把你自己的 Switch 游戏，原生带到 iPhone、iPad 和 Mac（后续将支持安卓与鸿蒙）。不是模拟器：游戏代码改写成 ARM64 原生执行，图形直连 Metal。 · 一个 App 装下整个游戏库
· Mac / Windows 图形启动器，提供 AI 接口可以代为操作，点几下就能出包装机
· 理论上原生支持大多数 Switch 游戏移植：普查 211 款游戏，一次出包成功率 95%。Switch 2游戏火焰纹章、时之笛、宝可梦、金刚通过验证
· 4700+ 局 iOS 真机测试，1000+ 局 macOS 测试
· 极速冷出包：暗黑 3 只要 6.4 分钟（MacBook Air) 说实话，我们准备得还很不充分，一定会有很多问题，请大家多多担待。遇到问题欢迎提 Issue 和 PR，帮我们一起变好。 仓库里随附一套给 AI 用的自查、自纠、自修工具包，让你的 AI 助手帮你排查和修复，一起玩上、完善你喜欢的游戏。 特别感谢一路同行的联合开发者：
@0xDo0wee @corvuschen1211 @n06ody666 @ruterfu @m4123r0 @vickFunWorld @rustkeji73667 @peerless07 @imyinyx @nuanyy815 @foxmoonlight @jklauuu（还有好多位没登记上😂） 以及 Ryujinx、nx2apple、nxnative 等所有上游开源作者。没有你们，就没有 S2Arm。祝大家玩得开心！ github.com/jhaizhou-ops/S2Ar…

The team is cooking and we are continuously making dots better every week! Lots of cloud browser improvements coming soon to make the auth experience smoother, computer use more reliable, and takeover more robust.

塞尔达时之笛移植 iPhone，最难的不是 Switch 2 的新接口和机制，而是把一个要 9GB 内存的游戏，塞进单个 App 最多只给 8192MB 的 iPhone——这是把大象塞进冰箱。好在我们成功了： 游戏照拿满内存、不降画质，进场景峰值只有 3.4GB。 科基里森林，第一次在 iPhone 上亮了。

Day 16/ You can now cache for 12h in the API and for logged in users across Codex & Work we keep cache forever and you don’t have any penalty for coming back to an old conversation or resuming after a few hours and are now guaranteed to hit the cache.

Anthropic released their 2021 research roadmap earlier this year (because of copyright litigation); I think some people might find it interesting: i.sm4.ca/concise-research-ro…

暗黑2重制版 iOS 移植结案（一），过几天开放 GitHub 仓库。

We just shipped in-app visualization capabilities in T3 Code. This enables agents to build cool dynamic experiences within the thread. Huge shoutout to @davis7 for pushing us on this (and building most of it). Didn't expect to dig it so much.

1/ We're reimagining what it means for your agents to work with all your computers. Today we're excited to share Cua Spaces, built on Cua Driver and our virtualization stack, rolling out on macOS today. Download it now, it's free and source-available: spaces.cua.ai

we used to develop iOS apps like this. like cavemen.

Opus 5.5 one-shot this animation in 14m and 48s "Oktoberfest" by Opus 5.5 How to do it below (extremely easy)

把我珍藏已久的好东西分享给家人们，剪映11.4.2开源！！！🥳🥳🥳github.com/mcncarl/jianying-… 配套神级Skill：github.com/mcncarl/yichen-sk… 只需要简单提示词，口播类视频，全程托管给Codex，不需要任何人类操作。 即使略微失误，由于调用豆包ASR，片段被切割到毫秒级别，导入剪映草稿也可以人工丝滑调整😋 放一个原本8分钟，剪辑后3分钟，完全由Codex+yichen-jianying-edit Skill自动剪辑完成的，前后视频对照，以及提示词截图👇 整个剪辑流程可能需要花费的地方： 1.Codex Token费用，可以用别的便宜模型平替，比如Workbuddy免费的hy3和DeepSeek-V4.1-Flash。workbuddy.ai/invite?code=XLT… 2.豆包ASR，一小时八毛钱，说实话，不能再便宜了。。。 volcengine.com/product/asr

The stars are almost aligned.