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Very welcome recent news from Signal: they are working on letting you register an account without a phone number. That said, an important counterpoint about what this would and would not accomplish. The good #1#: reducing dependence on phone numbers. Even aside from privacy benefits, reducing dependency on a highly oligopolistic system of chokepoints is good in itself. The good #2#: phone numbers are for many people not a good "root" of identity from an access control perspective. Phone numbers get sim swapped all the time. The good #3#: allowing phone-number-free accounts will make it harder for them in the future to discriminate against people by country - and so make it harder for governments to pressure them to block their own citizens. Now, on privacy. Significantly better than status quo, so yes it is good #4#, but... In practice, in 2026, I believe that pseudonymity (a long-term persistent account that is not tied to your primary identity) is a dead concept. There are just too many channels by which we accidentally slowly leak data about who we are - timing of messages, the pattern of who we send messages to with what frequency, size, etc. And too many highly effective AI-based means (both using LLMs per-user, and LLMs helping every person and agency under the sun use math that we had all along) to uncover and piece together those hints. As a trivial example, whatever server you interact with learns your IP address, but even if you hide *that* with a VPN or Tor, there are many other identity leakage vectors. And so the only defensible form of privacy is *message-by-message unlinkability* - no one except sender and receiver knows the (sender, receiver) pair, ideally even not knowing who the sender or the receiver are. A natural taxonomy of privacy is the following 2x2: * Sitting duck: adversary knows "X did Y" * Confidentiality: adversary knows "X did ???" [E2E encryption provides this] * Anonymity: adversary knows "??? did Y" [aka message-by-message unlinkability] * Ideal: adversary knows "??? did ???" Signal has already had confidentiality for a long time. (Note: in other contexts, "confidentiality" sometimes means "someone knows X did Y, and we trust that someone to not reveal it", ie. not true privacy. Here, by confidentiality we mean hiding contents from third parties) This adds pseudonymity: in the above schema, adversary knows "0x8b512c... did Y", where they don't initially know who 0x8b512c... is, but may figure that out over time. The ideal is getting to message-by-message unlinkability. Actually accomplishing that gets into territory that is currently being explored by mixnet projects as well as newer messengers, eg. @session_app and @SimpleXChat. Once we get deeper into this territory, I suspect the primary frontier will be spam and DoS protection. Right now, much of the internet blocks all Tor exit nodes - not because they personally hate privacy, but because that's where DoS attacks come from. So we need ways for people to prove their non-spammer status while maintaining message-by-message unlinkability. See here for one direction (which complements nicely). So I hope that we appreciate the victory that is mainstreaming of end-to-end encryption, that we actually get Signal accounts without phone number dependency (it's a great thing even if it had zero privacy consequences), and then that we keep moving forward and pushing the frontier of data leakage minimization.

Meet the Gemma Translator! A fully offline device powered by Gemma 4 E2B built with @Antigravity. Running entirely on a Raspberry Pi 5 with a connected microphone and speaker, this highly portable prototype is housed inside a custom, 3D-printed case.

$RTX is more than a ticker. It’s a vision. It’s a world waiting to be built. It’s a brand waiting to be recognized. Today, $RTX officially launches the RTX Creative Mission, inviting creators around the world to shape the future of the RTX universe. Whether it’s memes, artwork, videos, animations, or storytelling—your creativity could become part of the $RTX identity. 🏆 US$10,000 worth of NVDAB rewards Create. Inspire. Define $RTX. 📖 Rules + Entry ↓ ⸻ 🧵 Thread 1 What should the future of $RTX look like? That’s for the community to decide. Create anything inspired by $RTX, including: • Memes • Posters & Visual Design • GIFs & Animation • Videos • Stories & World-building • 3D Art • Multilingual Content • Any original creative format Let’s build an identity that people recognize instantly. ⸻ 🧵 Thread 2 Your creation could become part of the $RTX brand. To enter, include: ✅ $RTX ✅ @fourdotmemezh ✅ @rtxonbnbchain ✅ #DefineThebSTOCKEra# AI-assisted work is welcome, but every submission must reflect meaningful human creativity and originality. Don’t just hold $RTX. Build $RTX. 🚀

Pixar co-founder Edwin Catmull joins the Higgsfield Global Film Festival as a jury member. 5x Oscar Winner. Ex-President of Walt Disney Animation Studios. Executive producer of Toy Story. Turing Award laureate. The man who invented 3D graphics will judge the first generation of AI filmmakers.

基于 Three.js 构建的交互式 3D 人体解剖探索器，可立体查看人体结构，适合医学学习与可视化演示。 解剖教材里器官是平面图加文字标注，空间位置和结构关系看不出来。Anatomy Atelier 把 9 个器官做成可旋转的 3D 模型，热点标注、对比查看都在模型上直接点。

Only if education could be this interactive ❤️‍🔥 I've had a looong wish to build something genuinely useful through vibe coding, and I finally did it. A 3D human anatomy application built with @threejs using GPT 5.6 Sol. It all started with a single design image that I created using GPT Image 2.0. I then used it to generate every 3D organ image, one by one. Next, I converted each of those images into 3D models using @tripoai (and no, they didn't sponsor this 😄). After that, I opened Codex, wrote a master prompt based on the design, and gave it the prompt, the design image, and all the 3D models. Codex built the first version beautifully, but there was one big problem. Every single 3D model was nearly 120-150 MB. That obviously wasn't practical for the web and was giving a performance of 16fps. After a few iterations, Codex optimized each model down to roughly 2–5.5 MB while preserving the visual quality, reducing the total asset size from ~900 MB to just 28.6 MB. And each model loads on demand. Along the way, Codex also generated those anatomical illustrations showing where each organ sits in the human body, and even created the interactive hotspot markers that explain different parts of every organ. It handled all of that. The process wasn't exactly one shot, but it also wasn't difficult. You just have to do it step by step. It genuinely felt like building something that could make learning anatomy much more engaging. The inspiration came from @DilumSanjaya's 3D animal plant cell project. I remember seeing it and thinking, "I want to build something like this one day." And I did it :D Live: Code:

Framia + SEEDANCE 2.5 A sneak peak of some of the major upgrades - 30 secs generation - 50 upload references - 3D blender demo for precise fight scenes - Direct edit on video detials Empowering complex storytelling, Available soon on Framia Pro by Converge AI AI-Powered