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Built from concept to code with Grok 4.6: an interactive simulation of one river crossing evolving through five eras, from a wild river to trade, industry, the modern waterfront and ecological restoration.
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Pitchfork rates Tyga's new '$TARFACE' album a 0.0 out of 10: "The rapper’s slop-pop concept album is smug and complacent and depressing. Its very existence has made the world a worse place."
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The Cathedral of the Immaculate Conception, also known as Xuanwumen Church or Nantang, is a historic building in Beijing featuring elegant architecture and a unique blend of cultural influences.
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EL INGENIERO JEFE DE ANTHROPIC FILTRÓ ACCIDENTALMENTE SU BÓVEDA PERSONAL DE OBSIDIAN. DENTRO: NI CÓDIGO. NI PROMPTS. SOLO UN MAPA DE SU PROPIA MENTE, CONSTRUIDO COMO UNA RED NEURONAL. 8.893 nodos. 4.729 conexiones. Una aplicación de 10 dólares al mes. Abre Obsidian. 21 entradas. Más de 10 capas ocultas. Activación ReLU. La primera capa tiene 64 neuronas, luego 37, después 22, hasta llegar a la salida. Miles de conexiones activándose en tiempo real. No es un diagrama conceptual sacado de un blog. Es un cerebro vivo que impulsa decisiones reales dentro de la empresa. 9.000 documentos, cada uno con su propio espacio de conocimiento, todos interconectados. Gana alrededor de 2 millones de dólares al año organizando archivos Markdown en las carpetas correctas. La empresa que está construyendo la mejor IA del mundo gestiona todo su conocimiento interno con la misma aplicación que un estudiante de primer año usa para organizar sus apuntes. No escribió ni una sola línea de infraestructura para lograrlo. Solo tres años de constancia y una pestaña de Obsidian siempre abierta. Estás leyendo esto desde un dispositivo en el que podrías abrir ese mismo Obsidian esta noche y empezar a construir tu propia bóveda.
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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.
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Bring ideas to motion. Wan3.0 transforms creative concepts into dynamic animations with smooth transitions, expressive movement, and engaging visual narratives. Watch the demo. 👇
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Designed a meditation app concept 最近我在做一些从零开始的品牌+UI设计的新尝试,欢迎反馈。
THIS GUY MAKES COMPLEX AI AGENT CONCEPTS RIDICULOUSLY EASY TO UNDERSTAND. No jargon wall. No assuming you already know what a reward model or an evaluation harness is. Just a straight line from "I have no idea how agents actually work" to "oh, that's genuinely simple." The best explainers do not simplify by cutting corners. They simplify by finding the one analogy that makes the whole thing click.
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A good research agent should't just answer a question. It should know which tool to call next. At every research workflow is carefully designed as a sequence of actions: 1. Clarify needs 2. Plan the study 3. Search personas 4. Scan social media 5. Build new AI Personas 6. Interview or run group discussions 7. Generate the research report and reusable panel Each step uses different tools to move the research forward. And the report is not the end. The Personas involved become a reusable AI Panel — a consumer asset you can return to whenever you have a new question. Validate an idea. Design a product concept. Analyze competitors. Build a go-to-market plan. One research workflow can become a reusable system for understanding the people you're building for. 👉 Start your AI research from here:
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Grok Prompt: Surreal creature concept art of a floating Chinese dragon made of clouds and light, vast sky backdrop, ethereal and awe-inspiring atmosphere, 8K, No CGI, super ultra-hyper realistic image. If anyone wants to try.
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