Introducing Neural Harmonic Textures: our new method for real-time novel view synthesis that outperforms all 3DGS and NeRF derivatives including (finally) ZipNeRF in terms of quality across all benchmarks. The code is released (Apache 2.0): (https://t.co/O0a2JyZ9Bu) 🧵 https://t.co/KYSxAU8ED3

Anthropic's Mythos does not appear to show any acceleration of ECI. After normalizing Anthropic's internal ECI with @EpochAIResearch 's public ECI, it's clear that the two metrics are extremely close, and that Mythos is pretty much on trend, just slightly above GPT 5.4. /1 https://t.co/kZXk5L4XpG

Germany-based Agile Robots has introduced its humanoid robot, Agile One, designed for industrial environments. It features a dexterous robotic hand and runs on a physical AI system trained using real factory data, allowing it to work and interact autonomously. The company is now aiming to move Agile One into full-scale production.

The AI Festival returns for the 4th year, bigger and better than ever. A celebration of the artist and creative minds leading this revolution. Submissions open and tickets on sale. NYC and LA. You really don’t want to miss this. https://t.co/UHmUkkkJL1

AI Models Trained on Physics Are Changing Engineering https://t.co/VwPJWUpvYm

AI Models Trained on Physics Are Changing Engineering https://t.co/VwPJWUpvYm

Introducing @cursorbuddyapp -- inspired by clicky by @FarzaTV (thank you sir) and written from the ground up to be multi-platform ready, it provides a complete cursor agent that knows what you're doing, and comes as: Feature list now and soon - desktop - cli - web injection script (script include) - MCP - full voice - computer use - proper tooling - plugins and custom extensions and tools - themes - a playground - local options - detects screenshots - *walks you through learning - *time coded voice to text to get natural streaming - *multiple "canvas" views for interacting - *image support - *draws and annotates your screen - *interacts / available with agents to help out - *multiple "buddies" with characterisations and skills - *multi-player with other remote buddies* *roadmap will post the repo in this thread shortly, all free, all MIT license.

Here is a little torch.Tensor.__repr__ hack that allows you to dump custom tensor attributes in addition or instead the normal tensor's contents I found it very useful when I need to debug mismatching shapes and I didn't want to add more debug code https://t.co/wgG64DmxJH https://t.co/fuv10izKfI

// Scaling Coding Agents via Atomic Skills // Most coding agents train end-to-end on full tasks like resolving GitHub issues. But complex software engineering is really a composition of simpler skills, and training on the composite makes it hard to improve the parts. This research formalizes five atomic skills for coding agents: code localization, code editing, unit-test generation, issue reproduction, and code review. Instead of optimizing for a single composite task, the authors apply joint RL across all five skills simultaneously. The result: an 18.7% improvement that transfers to unseen composite tasks like bug-fixing and code refactoring without any task-specific training. Decomposition is a powerful scaling strategy. Rather than throwing bigger models at harder tasks, this work shows that systematically training the building blocks produces agents that generalize better. The atomic skills framework also gives you a clearer picture of where an agent is actually failing. Paper: https://t.co/7LhB8hcTcJ Learn to build effective AI agents in our academy: https://t.co/LRnpZN7L4c

🚨 Hermes Agent is one of the most powerful open source AI agent frameworks alive. But... nobody knows how to use it. This just changed. Someone mapped the entire ecosystem. 568 GitHub stars in 48 hours. It's called hermes-agent-orange-book. A complete guide from zero to production. 80+ tools, skills, plugins, and integrations documented in one place. Open the repo. Follow the Orange Book chapter by chapter and deploy a fully autonomous agent in an afternoon. Every major AI lab has internal guides like this. Now you have one too.

Beyond language, toward Physical Intelligence. 🌍 Introducing #EXAONE 4.5, our first open-weight Vision Language Model. By integrating text and visual understanding, it’s built to solve real-world challenges. 📍Check out our blog: https://t.co/i82axJE1Kw 🔗Hugging Face:https://t.co/sdUr8knH0d #LG_AI_Researh #LG_AI #EXAONE #LG #AI #Multimadal #LLM #Physical_AI

"But here is what we found when we tested: We took the specific vulnerabilities Anthropic showcases in their announcement, isolated the relevant code, and ran them through small, cheap, open-weights models. Those models recovered much of the same analysis. Eight out of eight models detected Mythos's flagship FreeBSD exploit, including one with only 3.6 billion active parameters costing $0.11 per million tokens. A 5.1B-active open model recovered the core chain of the 27-year-old OpenBSD bug." https://t.co/yBTiiMq1Xy

The safest model format just became everyone’s shared standard.🤗 https://t.co/Gjw8G90K3a

The safest model format just became everyone’s shared standard.🤗 https://t.co/Gjw8G90K3a

Did the famous @huggingface HQ tour in Paris! Huge thanks to @xenovacom 😊 Such an amazing space! https://t.co/AGXLB9ew6h

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Did the famous @huggingface HQ tour in Paris! Huge thanks to @xenovacom 😊 Such an amazing space! https://t.co/AGXLB9ew6h

+2 more

@RemcoAI Yes, this will be forthcoming. We'll also post all of the session recordings on YouTube in the next couple of weeks. In the meantime, feel free to browse the sessions at: https://t.co/uvKLKMKdmg

Enterprise AI isn’t early anymore. ~87% of companies use AI. $200B+ spent annually. ~30% reach production. So we’re taking this into a build challenge at @ai_expo @TechEx_Event - putting real builds in front of those who decide what gets deployed. → https://t.co/nW0FGbGmO3. https://t.co/lXxon2Fm1X

T256S #AI #Thermal Camera with embedded real time Super-Resolution coming out! 2.4T NPU, real time 256x192 -> 640x480, Micro-scale Meticulous Detail~ Support standalone/phone plugin/PC/SBC multi-platform, support raw data read! Check it out: https://t.co/RaVePxFkjG https://t.co/j3t6Vamm8d

PyTorch Conference Europe 2026 was 🔥🔥🔥 What were your main takeaways? #PyTorchCon EU https://t.co/NhezYu51gW

New in Lyzr: Live Sources 🔄 Your knowledge base now syncs directly with SharePoint, public websites, and soon Google Drive. Connect once → always up to date → better RAG. No more manual uploads. Your AI agents deserve fresh context. https://t.co/DpXKTOiHmB https://t.co/BHxeI2y7Mr

@Is_That_Praveen We follow each other. I made you lists of everyone in AI that I can find: https://t.co/fasUz7PuHq Then we make AIs to read them all and help us keep up: https://t.co/kiuZ7QXLzb

wow - Gemini 2.5 Deep Think https://t.co/aDeH61XRSv

wow - Gemini 2.5 Deep Think https://t.co/aDeH61XRSv

Introducing Website to App. Turn any website into an native mobile app. Just paste a URL. Claude Opus 4.6 will code, design, launch and translate a mobile app inspired by the original website. We’ve been using this internally a ton for iOS/Android apps. https://t.co/45Gp0cl3Cz

𝗛𝗲𝗿𝗺𝗲𝘀 𝗔𝗴𝗲𝗻𝘁 𝗷𝘂𝘀𝘁 𝗮𝗱𝗱𝗲𝗱 𝗔𝗻𝗱𝗿𝗲𝗷 𝗞𝗮𝗿𝗽𝗮𝘁𝗵𝘆'𝘀 𝗟𝗟𝗠 𝗪𝗶𝗸𝗶 𝗮𝘀 𝗮 𝗯𝘂𝗶𝗹𝘁-𝗶𝗻 𝘀𝗸𝗶𝗹𝗹 𝘁𝗵𝗮𝘁 𝗯𝘂𝗶𝗹𝗱𝘀 𝗮 𝗸𝗻𝗼𝘄𝗹𝗲𝗱𝗴𝗲 𝗯𝗮𝘀𝗲 𝘁𝗵𝗮𝘁 𝗴𝗲𝘁𝘀 𝘀𝗺𝗮𝗿𝘁𝗲𝗿 𝗲𝘃𝗲𝗿𝘆 𝘀𝗲𝘀𝘀𝗶𝗼𝗻. Every time you use AI for research today it starts from scratch tomorrow. This fixes that permanently. Here's how it works: → Run: hermes update. Then type /llm_wiki followed by your research topic. → Drop any source into your raw folder. Hermes reads it, extracts key info, and integrates it into the existing wiki automatically. → One new source can update 10 to 15 connected pages at once. → Ask a question. The answer gets filed back into the wiki as a new page. Your explorations compound just like your sources do. → Ask Hermes to health-check the wiki. It finds contradictions, stale pages, and missing connections on its own. Karpathy's document got 5,000 GitHub stars in 48 hours. The idea is simple. Stop rediscovering the same information every time. Let the AI build and maintain a structured wiki that sits between you and your raw sources. Humans abandon wikis because the maintenance burden grows faster than the value. An AI agent doesn't get bored. Doesn't forget a cross reference. Touches 15 files in one pass.

Yesterday we launched Otio 2.0. Today, here's the 2-minute walkthrough. Workspaces that keep every project in its own context. Parallel chats side by side. Highlight straight in the reader view and ask Otio on the spot. Capture tables, graphs, and diagrams directly into a chat. Every citation traces back to the exact page.

A new phase of scientific discovery is beginning. AI is enabling researchers to learn, reason and tackle complex biological challenges in ways that were previously not possible. This is more than acceleration. It is changing how discovery itself happens. https://t.co/yEh5pmDu5X @ConversationUS

🇺🇸 Sundar Pichai had high praise for Elon after spending time with him: “Look, I spent time with Elon maybe two weeks ago. When I talked to him, his ability to will future technologies into existence is just unparalleled.” https://t.co/B7XW4YbYGG