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Introducing ✨Generative Interfaces where LLMs respond to users by proactively generating UIs that enable adaptive interaction 🎹 Piano practice tools, 🤖 neural net animations, and more🪄

Diyi Yang

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Andrej Karpathy explains why he thinks of LLMs as "people spirits." He describes them as simulations of people. The technical machinery is a transformer neural network that processes text in chunks, applying equal computing power to each piece. The system learns by reading billions of web pages and books. After training, it becomes a machine that can mimic how humans write and communicate. The key insight is that training on human content gives these models an emergent human-like psychology. This explains why LLMs often respond in surprisingly human ways. This framework opens up both their strengths and limitations. They simulate human patterns because that's their training data, but they remain statistical simulations rather than conscious beings. Understanding LLMs as "people spirits" helps set proper expectations for these tools and explains their uncannily human behavior.

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Harness powerful new AI integrations, Cinema 4D native file support, and a new Render Network Cinema 4D Wizard that simplifies sending jobs from Octane and Redshift C4D workflows to unlimited high performance GPUs on the Render Network New Render Network jobs using Flux by Blackforest Labs, Dream Machine by Luma Labs, Runway ML and others are available starting today using Render Credits, with more coming soon: an AI upscaling tools by Topaz Labs,,Skybox 360, an innovative text-to-360 8K HDRI image generator, plus a python-based launcher built to frictionlessly send Generative neural jobs to thousands of concurrent GPUs on the Render Network.

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Introducing the Generative UI Research Canvas ✨ Every agent needs a powerful UI Combine LangChain, Tavily, Tako and CopilotKit🪁 and you get a LangChain-based research agent with a Generative UI-driven frontend. When agents can explore the underlying data, research becomes more trustworthy and useful. How does this work? - LangChain manages the agent workflow and tool orchestration. - Tako converts retrieved data into structured, visual components - Tavily provides agentic search - CopilotKit renders those components in the UI and keeps the user in the loop while the agent is working So instead of a boring and static report, the output is an interactive research canvas that evolves as the agent runs. 2026 is the year where users want to see the output, not read it... Generative UI makes this possible for agentic applications. Tutorial: Open-Source Repo: Docs:

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Atai Barkai

11,997 views • 5 months ago

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210,187 views • 2 months ago

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Press Trust of India

26,643 views • 1 month ago

Ladies and gentlemen introducing our upcoming special mint by our Salvor OG community member 🔺krlja🔻 first ever generative collection BOMB OFF with all mint fees proceeds to BUYING BACK SALVOR $ART tokens that were lost during his compromise. Inspired by the idea around creating entertaining characters with pun-names using the word BOMB, has created a 400 pieces collection with memorable characters including Spongebomb, James Bomb, Bomb Marley, Bombnald Duck and much more for you to find out!! Here are the mint details: 📐 Size: 400 pieces ⏰ Date: January 13th 2026 🪄 Mint price: WL1.5 AVAX/Public 2.5 AVAX 🗺️ Location: Our SPECIAL MINT will feature EXTRA BOOST MULTIPLIER and supported by SALVOR LENDING to best incentivize our launchpad supporters

Ladies and gentlemen introducing our upcoming special mint by our Salvor OG community member 🔺krlja🔻 first ever generative collection BOMB OFF with all mint fees proceeds to BUYING BACK SALVOR $ART tokens that were lost during his compromise. Inspired by the idea around creating entertaining characters with pun-names using the word BOMB, has created a 400 pieces collection with memorable characters including Spongebomb, James Bomb, Bomb Marley, Bombnald Duck and much more for you to find out!! Here are the mint details: 📐 Size: 400 pieces ⏰ Date: January 13th 2026 🪄 Mint price: WL1.5 AVAX/Public 2.5 AVAX 🗺️ Location: Our SPECIAL MINT will feature EXTRA BOOST MULTIPLIER and supported by SALVOR LENDING to best incentivize our launchpad supporters

Salvor 🚢🔺

12,982 views • 6 months ago

AI instead of UI The last few years radically changed how we think about digital products & product design process in general. What we are witnessing right now is a transition where AI is no longer just a feature; it is becoming the infrastructure of interaction. For decades, UI design was rooted in the concept of “Happy Path,” a series of static, linear screens (routes from A to B) designed to funnel users toward a goal. This “one-size-fits-all” approach assumes that all users have the same mental model, which is far from the truth. The rise of AI tools like ChatGPT and Gemini is showing that we are moving into an era of Generative Interfaces. Instead of a designer pre-determining every button and menu, the interface is synthesized in real-time based on user actions. Back in 2019, Gleb Kuznetsov and I were working on the concept of morphing Interface, the idea of a UI that adapts its structure based on user intent. The great thing about this UI is that it was highly dynamic: different users saw different content/contextual actions based on their behavior. This concept was crazy in 2019, but it is highly relevant to the modern state of the product design process. And I strongly believe that it represents the future of UI design. We will move beyond the “AI chatbox" crutch Yes, many products today treat AI as a sidecar (think of Copilots or chatbots pinned to the side of a traditional dashboard), but this is a transitional phase. Why? Because adding a chat window to a 20-year-old software layout is like putting a jet engine on a horse-drawn carriage. That's why the future isn't "AI as an add-on"; it is AI as the Operating System. AI will power generative interfaces that are rooted in anticipatory design: UI won’t wait for a command; it will surface tools based on the user's current environmental context and historical behavior. This evolution changes the very nature of product design, and we will move away from designing pages/screens and toward designing systems of logic.

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Nick Babich

53,320 views • 5 months ago

LimX Dynamics just released LimX Luna, officially described by the company as the first mass-deliverable full-size female humanoid robot. 🤖 This is not aimed at warehouses; it is built for malls, theme parks, auto shows, brand events, and other commercial spaces where attention is the product. Luna stands 160 cm tall, has 27 body DoF excluding end effectors, and combines whole-body motion control with voice, vision, facial expressions, gesture interaction, and motion imitation. The sharper part is the content stack: users can upload dance videos, build scenes with zero-code tools in LimX Studio, and run synchronized shows with up to 200 robots. That makes Luna less like a one-off demo machine and more like a programmable entertainment platform for foot traffic, performances, and social clips. For humanoids, this is a useful shift: not only “can it do labor,” but “can it create a consumer experience people actually stop to watch.”

RoboHub🤖

13,909 views • 1 month ago

Today we’re introducing Superhuman Docs, the evolution of Coda (Superhuman Docs) into the best place for teams and AI to work together. I co-founded Coda to reimagine the modern document and enable anyone to make a doc as powerful as an app. Superhuman Docs builds on that mission, and is reimagined for how teams work with AI now. With Superhuman Docs, AI is no longer a solo experience. Docs AI works with you the way a teammate would, with full context of everything your team has built: your data, your briefs, your roadmaps, your connected tools. You can ask it to summarize a sprint, draft a decision record from your meeting notes, or pull a competitor analysis into a new page, and that work stays right where your teammates can pick it up. I’m incredibly proud of the team for bringing Docs to life! There’s so much more we’re launching, including a way to create custom interfaces on top of your data just by describing it. We’re also introducing Superhuman Databases for teams to manage up to 1 million rows, launching Docs MCP to open it up to the AI tools you already use, and debuting a brand new Mac app. We’ve been building toward this moment for a long time, and Docs starts rolling out today. If you’re an existing Coda user, everything you rely on in your docs will remain the same, and if you’re new, now is a great time to jump in.

Shishir

22,007 views • 14 days ago