Vic | funclosure

@SouldaYoda of @Soulda16Club | iOS Dev | Husband | Everyone needs closure and I need a fun closure An ENFP who tested as ESFP but essentially is an introvert

[Vic | funclosure @funclosure]

From the durable harness to on-demand self evolving app

How far can the `claude --channels` with tailscale goes 😁

@claudeai @ClaudeDevs

[Vic | funclosure @funclosure]

@titanypw It’s very cool and a bit creepy at the same time, haha

[Vic | funclosure @funclosure]

Hello @DrJohnVervaeke 🙏
I’d like to say your work has been tremendously impactful to me for understanding the world in a better sense

And this episode that I’m making(or curating) is dedicated to introducing the four kinds of knowing based on your work

https://t.co/2e6DhwGYFM

[Mattt @mattt]

Language models can do a lot, but they're only a small part of what machine learning can do.

Today we're introducing two new Swift packages for speech and decisions, with open models from 🤗 Hub that run on device:

https://t.co/T6bAUWHJui

[Vic | funclosure @funclosure]

Exploring interesting interactions with @herdrdev

[herdr @herdrdev]

*ehm ehm* BIG ANNOUNCEMENTS DAY 📣

two new things cooking in herdr labs 🐏🧪
a brand new herdr-core, and a desktop app built on it. open source.

first, the app: software that fits you. every part of it is a file your agent can change. you just ask.

[Vic | funclosure @funclosure]

@yetone PWA嗎 😁

[Deepanshu Mishra @dipxsyy]

Just got access to @superlogical’s Rex iOS app and it feels so damn polished and nice to use. The team did a great job 🫡

@mitchellh @almonk

[Vic | funclosure @funclosure]

Finally, the first series, 6 episodes, is done, and uploaded to YouTube

It’s amazing to see how Opus 5.5 visualizes all the ideas 💡 quite very well 🔥

[Vic | funclosure @funclosure]

This might not be the popular topic, but I just want to better explain the LLM to general public, and this is my first attempt:

With Claude 5.5 and Gemini
Not one shot, but a couple of months of preparing the content

https://t.co/HayBnn3txR

[Vic | funclosure @funclosure]

@pragnyanramtha It’s very true, and it’s too easy to just think it’s all about simple computation and nothing special, just another “technology” that we should just use it.
But this time, it’s really something different…

[Shuhari @NSShuhari]

入秋就交一下暑假作业

谜底宇宙和他的朋友们

[Arc @arcinternet]

We've decided to sunset Arc on December 22, 2026.

That's not an easy sentence to write. We spent years building Arc and celebrating each and every release along the way: we have so much pride and love for what we made alongside the Arc community.

Our priority is to deliver best-in-class security for our members. Keeping a browser secure takes constant, dedicated work that is only increasing in the age of AI. Dia was built from the ground up to meet today’s security standards, so that's where our engineering and security teams will focus moving forward.

We've worked to make switching to @diabrowser as easy as possible for Arc members. Here's how:

· Your passwords, bookmarks, extensions and history come over to Dia seamlessly.
· Spaces, Folders, and Tab Groups are in Dia and import over with your data intact.
· Dia now surpasses Arc benchmarks in stability, speed, and security.
· The browser features you use in Arc are free in Dia, and the AI is optional.

Thank you for using Arc, for pushing us to make it better, and for building alongside us. The team that made Arc is the same team behind Dia, and some of our most ambitious work is just ahead. We'd love for you to be there with us when it lands.

[lauren @poteto]

here's how i shipped 2,500 PRs last month to production

this was originally supposed to be for Cursor Compile in London. i couldn't make it since i was livestreaming for Grok @Bot Galaxy so i'm making it available for free here on X! watch it on 2x speed, i talk slowly

[SwiftSIQI @SwiftSIQI]

过去一个月，我们围绕 Xcode 和 Apple 生态做了一次 AI 方向的调研。今天，分析报告正式公开！🎉

本次发布的是基于 100 位 Apple 生态领域专家反馈的专家组报告，大众组的数据仍在收集中。

希望这份报告能为大家提供有价值的参考，也欢迎交流讨论！

📊 完整报告：
https://t.co/XFFc400dRh

[幾田 りら @ikutalilas]

@spotted__now
路上ライブさせていただきました！
足を止めてくださった皆さまありがとうございました！
とても温かくて嬉しかった☺︎

8年ぶりのストリート。
裸の心で、また夢をみることができました。

来月札幌でドーム2daysやります✌︎
最高のライブ体験をお約束します。

そして今日お会いした皆さま、また再会しましょう🤝🏻
https://t.co/dHjBe0Pjre

[Rudrank Riyam @rudrank]

500+ apps manually added on Wall of Apps that shipped with ASC CLI!

Hundreds of thousands of folks use ASC CLI 🤩

[Ryan Singer @rjs]

Interesting

[Andrej Karpathy @karpathy]

Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel.

- Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all.
- Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract.
- Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code.
- And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while.

The funnel is driven by a combination of factors:
1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel.
2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel.
3. Access. Free-tier, paid-tier, internal.

So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.

[Yuan-Ping Wu (Titan) @titanypw]

我最近在開發一個自己用的 Mac app，算是實驗吧，讓滑鼠游標可以自動切換到我正在看的那個螢幕上。女朋友對這個 app 的評語是：荒謬 XDDD

我會想做這個 app 是因為有外接螢幕的情況下，叫出 Alfred 時它常常不會出現在那個我正在看的螢幕上，這種感覺有點像 USB Type-A 要用時總是插反 XDDD

Alfred 的視窗可以設定成根據游標所在螢幕位置顯示，我想到的方法是讓 Mac 知道我在看哪個螢幕，並且把滑鼠游標移過去。

要做到我想要的效果，假如不另外買 eye tracker 儀器跟軟體，另一個選擇是一般視訊鏡頭搭配 Beam Eye Tracker，測試效果還不錯，真的可以把游標移動到你正在看的螢幕上。

可惜我試用的版本雖然支援外接螢幕，卻不支援 Sidecar，也就是 macOS 讓 iPad 當外接螢幕的功能。Mac 版也還在 beta，而且是 Intel 架構；而 macOS 28 之後，Rosetta 將不再支援一般 Intel app。

所以跟 AI 討論一番之後就決定開工，透過 MacBook Air 內建的 FaceTime 攝影機，判斷我目前正在看哪一個螢幕，並且在偵測到視線轉移時，自動將滑鼠游標移到對應的螢幕。

跟 Beam Eye Tracker 這類軟體不一樣，我不需要精確計算出眼睛正在看螢幕上的哪個位置，只要能判斷我正在看哪個螢幕就行了。此外，要讓游標移動是合理的，還得知道它原本在哪裡，以及我的視線是不是正在切換螢幕。

目前的做法是透過攝影機取得影像，利用 Apple Vision 偵測臉部、眼睛、瞳孔等特徵，以及頭部姿態，再搭配 MobileGaze 這個機器學習模型，分析臉部影像、估計視線方向。接著，讓三個用我個人校正資料訓練的分類器，分別根據頭部姿態、眼睛特徵和 MobileGaze 的估計，判斷我正在看哪個螢幕，再綜合三者的預測結果。

不過，光是知道我正在看哪個螢幕還不夠，否則游標可能會因為短暫的誤判而跳來跳去。所以 app 還得確認我的視線原本是在游標所在的螢幕上，然後真的轉移到另一個螢幕，而且有持續一小段時間，才會真的移動游標。

移動時也不是把游標放到我正在看的位置，而是回到游標上一次在該螢幕的位置；如果沒有紀錄，就移到螢幕中央。如果我正在打字或手動移動游標，app 就會暫停讓游標跟著視線移動，避免跟我搶控制權。

目前正在測試日常使用，成功率體感上有個七、八成了。我也在測試搭配 AutoRaise 使用，它能夠在你移動游標後，自動將游標底下的 app 拉到前景。我想知道這樣搭配使用的體驗如何。

每次回到座位看著螢幕，滑鼠游標就會自己出現，感覺真神奇。