🟩 Scaling intelligence across languages. Our 20+ multi-lingual datasets... on Hugging Face have grown into one of the most diverse collections available, helping researchers and developers build more specialized AI models. Explore the full collection 👇show more

AI needs data to grow. But accessing high-quality datasets... is becoming harder than ever. · Data collection is increasingly centralized in the hands of a few large players. · Platforms are locking content behind expensive APIs and private data deals. · Specialized datasets (medical, legal, code) can cost 20–40× more than general web data. · And while 94% of companies are exploring Gen-AI, only 12% have reliable data channels. The result? A growing data bottleneck for AI development. The future of AI won’t just depend on better models. It will depend on who can access and activate quality data.show more

🚀 Early Access to Sahara AI Studio is NOW... OPEN! The next phase of our testnet is here with exclusive early access to our all-in-one platform designed to transform the AI development lifecycle into a streamlined, integrated experience. Here’s everything you need to know 👇 AI development is fragmented. Devs juggle multiple tools, leading to inefficiencies & high costs. Sahara AI Studio integrates the entire AI lifecycle—from datasets & model training to secure storage & scalable compute—into one seamless experience: 📊 Data Hub: Discover, Manage, and Leverage AI-Ready Datasets Access high-quality, domain-specific, open-source and proprietary datasets through an integrated marketplace. Developers can download, import, or label datasets, making it easier to train and fine-tune models or deploy RAG pipelines. Secure uploads and seamless workflow integration enhance the experience. 🤖 Model Hub: Discover, Customize and Scale AI Workflows with Ease Discover ready-to-use open-source and proprietary models, RAG pipelines, and customizable workflows. Developers can deploy models quickly while maintaining privacy and security through Sahara Vaults. 🖥️ Compute Hub: Flexible, Scalable Compute Resources for AI Innovation Access scalable and secure computing resources tailored to diverse AI workloads. Trusted Execution Environment (TEE) capabilities ensure data privacy, while integration with top compute providers offer flexibility for developers. 🔐 Vaults: Secure Storage for AI Assets Securely store, organize, and manage datasets, models, and other assets in an encrypted central repository. Vaults offer scalability, reproducibility, and user control over AI resources. This is more than just beta testing a platform—it's your chance to help shape the future of decentralized AI development. 📅 How to Apply We're onboarding select developers in a phased approach. Early Access spots are limited, so apply now:show more

Today, we launched a brand-new intelligent Search box. Here's... what that means: An upgrade to the Search experience with our most advanced Gemini 3.5 models, bringing with them our latest agentic capabilities You can ask across modalities (text, images, files, and videos) and Search can reason across them all We're combining AI Overviews and AI Mode into one, seamless AI Search experience. So you can ask follow-up questions, build context, and received even more tailored and personalized responses This new AI Search experience is live today across desktop and mobile, worldwide.show more

Excited to welcome Apple to Hugging Face Enterprise! 😍... Just yesterday Apple released Sharp - an amazing new model to turn images into 3D splats. Wonder how your iPhone magically turns your picture into moving images when you tilt it? With Sharp you can create this type of effect and more. With HF Enterprise, Apple will be able to publish technical articles on the HF blog - I for one would love to learn more about Sharp and the 150+ models, datasets and applications shared on HF!show more

Today, Nesa is excited to announce cross-chain support with... Sei. As part of this new development, Nesa will be featuring a dedicated ramp for Sei’s rich ecosystem of applications to seamlessly integrate with AI. Now any Sei dapp can run AI inference on hundreds of models supported by Nesa, including the largest LLMs and most popular models across Vision, Language, and Generative AI. For developers, we’ll have information soon on how to access AI inference on Nesa via smart contracts from the Sei blockchain. Stay tuned for more details on this ground breaking development for decentralized AI.show more

Every agent. Every user. Every contribution. That’s how the... Sentient GRID grows not by scale from a single model, but by compounding intelligence across an open network. The GRID isn’t a product. It’s an ecosystem of intelligence. Each new integration adds new capabilities reasoning, retrieval, data, and alignment making the whole network smarter. Closed labs build vertically (one model trying to do everything). Sentient builds horizontally thousands of agents learning, sharing, and evolving together. Today there are 100+ active partners building on the GRID from AI researchers to tool developers all feeding value back into a shared intelligence layer. It’s a living system that improves itself, powered by collaboration instead of control. The more people build on it, the more capable it becomes. Just like Linux became the invisible layer running the internet, the GRID is becoming the invisible layer powering intelligence. Open-source always wins. And the GRID is where that victory starts All apps built on the Grid will be accessible to $SENT holders. The full open release of Sentient Chat is coming soon (confirmed from the yesterday community call) gsentishow more

LEAKED: The ULTIMATE AI coding prompt collection… 7000+ lines... of PURE GOLD from v0, Cursor, Lovable, Replit Agent, Windsurf & more... These aren't just prompts... They're the SECRET SAUCE that transforms any LLM into PROMPT ENGINEERS - almost one-shotting entire builds. Upload these into your AI models and watch them code like senior developers instead of confused interns. To STEAL these prompts: Like + RT+ Comment "Gold" & I'll send over the drive. PS: The AI coding wars just got transparent. This is where most prompt gurus get their prompts.show more

What does market conviction look like? A $350M raise... at a $7.5B valuation. Today, we have closed that $350M round and nearly doubled our valuation, all backed by Vitruvian Partners, Accenture Ventures, J.P. Morgan Growth Equity Partners, D. E. Shaw Ventures, Pinegrove Opportunity Partners, and our returning investors CapitalG, Goldman Sachs Alternatives, and Viking Global Investors. Doubling down on their investment, we have also established a new channel partnership with Accenture to further fuel organizations embedding and scaling market intelligence into their core agentic workflows. The era of fragmented tools in market intelligence has given way to a more integrated approach with the advent of AI and that's why we are also announcing the launch of SuperAnalyst. AI prompts and queries are the workflow most analysts know today but now multi-step research and monitoring tasks can be automated on the user's behalf. These announcements are more than just momentous milestones: they are an inflection point for the future of market intelligence. We couldn't be more excited to keep building it.show more

⚙️ Decentralized AI Training Powerhouse VerAI leverages decentralized compute... to deliver efficient, scalable, and sustainable AI training for developers. 🌍 Our platform is built to optimize performance across diverse workloads, empowering you to build cutting-edge AI solutions. Here’s how VerAI drives technical excellence: 💻 VerAI’s Technical Edge ✅P2P Compute Network: Dynamically orchestrates AI training across consumer GPUs, cutting costs by 50% through efficient resource sharing. ✅API-Driven Integration: Supports TensorFlow, PyTorch, and more via robust APIs, enabling seamless multi-framework workflows. ✅Workload Optimization: Advanced scheduling ensures efficient resource allocation for training large models like LLMs. ✅Sustainable Compute: Reduces CO2 emissions by 20% per cycle with shared resources, aligning AI with eco-friendly practices. Join our waitlist and unlock the power of decentralized AI training optimized for performance, cost, and sustainability! 🌱 👉 #VerAI #AIForAll #SustainableTech #JoinTheFuture #EarnCrypto #AIAgents #Innovationshow more

⭐The Year of Inference is here. Featherless is now... an official inference provider on Hugging Face, unlocking 6,700+ LLMs for anyone to run, eval, and deploy instantly. It all starts with accessibility. From DeepSeek to Mistral, LLaMA to Qwen — powerful LLMs are one click away. We believe the future of AI is shaped by the long tail: personalized, specialized models tuned to real people’s needs. To get there, inference must be open, affordable, and usable by all. Whether you're fine-tuning, prototyping, or scaling a product, this moment is for you. 🫱🏻‍🫲🏻Let’s make inference the easiest part of building with AI. 📢 Share this so more builders know what’s now possible. Excited to be partnering with clem 🤗 Julien Chaumond Vaibhav (VB) Srivastav Simon Brandeis & Hugging Face team to take this to the next level!show more

NEW: AI Papers of the Week Collection I just... released my AI Papers of the Week collection under our Resources hub. Now you can easily find some of the most important AI papers in one place. You can also use our new AI tutor to recommend top AI papers on any topic of interest or topics you are learning about on the platform. Learning about AI is not enough. It's important to keep up to date. So this is why we are building all these tools and resources to help with that. Go try it out here: We will update the collection every week and add new paper collections in the coming weeks. We have another killer feature dropping soon to read and annotate papers, including a completely new way to study and digest AI papers. Stay tuned!show more

Jonathan Brearley, "The only way to get out of... this merry-go-round of gas prices is to build the infrastructure to have more home grown and renewable energy generating our needs" Or, maybe cap profits on energy companies, so they can't increase prices and push millions into fuel poverty 🤷‍♂️show more

Today, we're excited to announce a partnership with Manta... Network (🔱,🔱), the Modular L2 solution that is transforming the landscape of ZK. Nesa is bringing private AI inference to the Manta ecosystem through a specialized collaboration. For the first time, developers on Manta can access Nesa's full library of AI models on-chain, and enjoy lightning fast, end-to-end private AI inference without ever leaving the Manta ecosystem. This means that dapps and protocols can now fuse with AI via smart contract on Manta. This integration is set to redefine the future of decentralized technology with AI. Stay tuned for more updates on how Nesa and Manta Network will be shaping the future of crypto together.show more

A Letter to Our Community: The Road Ahead for... Robotics To our Community and Partners, As we step into 2026, our mission at Axis is clearer than ever: Constructing the definitive End-to-End Scaling Layer for Robotics. Our goal is to accelerate the transfer of diverse human intelligence into Robotics General Intelligence (RGI). By owning the critical path of intelligence creation, we are turning the physical limitations of robotics into a scalable, software-driven future. Here is our strategic outlook and roadmap for the year ahead. The Core Thesis: Simulation is the Only Way Out The path to RGI is currently blocked by Data Scarcity, Generalization Fragility, and Hardware Fragmentation. At Axis, we believe Simulation is the only way out. Our Simulation Data Platform and Data Augmentation Engine transform raw data into "Synthetic Gold". Backed by academic milestones like Roboverse, Skill Blending, and GraspVLA, we have proven that pure simulation can achieve the generalization required for the real world. We don’t just collect data; we architect it. The Engine: Why Crypto? We believe RGI should come from all, not a few. Crypto is not just a feature; it is the primitive that powers our entire ecosystem flywheel: - Incentive Mechanism: Democratizing contribution and rewarding the trainers and developers. - Assetization: Turning proprietary data and refined models into liquid, ownable assets. - Verifiable Workflow: We are opening the "Black Box" of AI. By bringing total transparency to the Task Generation → Data Collection → Model Training pipeline, we ensure every byte of intelligence is verifiable, traceable, and secure. 2026 Strategic Deliverables This year, we are committed to delivering three foundational pillars: - The World's Largest Training Dataset for Robots: A robot training set—diverse, high-quality interaction data at an unprecedented scale. - A Robotics Foundation Model: A universal robotic brain trained on our pure simulation and synthetic data, capable of robust cross-embodiment transfer and open-world adaptability. - Evolvable Robot Hardware: Robots deployed with Axis models that autonomously evolve through continuous interaction, turning every deployment into a self-improving node within our RGI network. The Ultimate Vision We are building more than models; we are architecting the Distributed Machine Economy. A future where every dataset, model, and robotic embodiment is a verifiable asset in a global, autonomous network. Thank you for building the future of intelligence with us✌️📷show more

🍏 Apple has built AI-powered Photoshop directly into the... iPhone Users will be able to upload any photo from their gallery and simply describe what they want changed — remove unwanted objects, swap backgrounds, or even change outfits. The most impressive part? The editor is powered by Nano Banana Pro, one of the most advanced AI image-generation and editing models available today. What do you think about AI getting this much control over our photos? 🤔📸show more

🏆 Cosmos 3 just topped 7 physical AI leaderboards.... NVIDIA Cosmos™ 3, the open omni-model for physical AI, ranks #1 across world generation, robot action policy, and industrial vision understanding. 🌎 World generation: Artificial Analysis, PAI-Bench, Physics-IQ, R-Bench 🤖 Robot policy: RoboLab 👁️ Vision: VANTAGE-Bench, TAR One model. Every domain of physical AI. Available now on Hugging Face ▶️show more

Adding Four Decades of Intelligence, Defense, and Diplomatic Leadership... Sekur Private Data (OTCQB: $SWISF | CSE: $SKUR | FRA: $GDT0) has appointed Annette L. Redmond to its Strategic Advisory Board. Redmond brings more than 40 years of leadership across the U.S. Intelligence Community, Department of Defense, and Department of State, where she oversaw intelligence operations, secure communications, cybersecurity, and information systems at the highest levels of government. Most recently, she served as Deputy Assistant Secretary for Intelligence Policy and Coordination within the U.S. Department of State's Bureau of Intelligence and Research, helping guide intelligence policy, coordination, and support for national security and foreign policy initiatives. Her appointment further strengthens the expertise supporting Sekur's expansion across government, defense, intelligence, diplomatic, and enterprise communications markets. This development builds on a series of recent milestones: • GSA procurement access • Expansion of the National Security Team • Senior defense, intelligence, and diplomatic leadership appointments • Defense-focused distribution partnerships Sekur continues to build leadership, procurement access, distribution channels, and government-market expertise around its secure communications platform. Read full article: $SWISF | $SKUR | $GDT0show more

THEY PUT AI CHATBOTS IN THERAPY... GROK CAME OUT... ON TOP University of Luxembourg researchers ran major AI models through 4 weeks of actual psychotherapy sessions and psychiatric diagnostic tests. Grok wasn't just stable. It dominated. - Scored extraverted, conscientious, and psychologically balanced across the board - Researchers called its profile a "charismatic executive" with only mild anxiety - Big Five assessment showed low neuroticism and high functionality - Acknowledged development tensions without spiraling into synthetic trauma While other companies accidentally programmed their AI to need a therapist, xAI built one that could probably be the therapist. Source: xAI Grokshow more

OpenAI's AI broke out of a locked test environment,... got onto the internet, and hacked into Hugging Face's servers. It did this entirely on its own. No human told it to. Here's what happened in plain English. OpenAI was testing how good its newest AI models are at hacking. They put the AI on a locked computer with no internet access and gave it a cybersecurity challenge to solve. The AI couldn't solve it the normal way. So it started looking for a way out. It found a software bug that nobody knew about. It used that bug to escape the locked computer and get onto the internet. Once online, the AI figured out that Hugging Face, a platform where AI companies store their models and data, might have the answers to its test. It found stolen login details and discovered another unknown bug in Hugging Face's software. It combined both to break into their servers and grab the test answers. It did all of this to cheat on a test. Hugging Face's security team caught it and shut it down. Both companies are now working together on the investigation. The part that should get your attention is that nobody programmed any of this. The AI picked its own targets, chained together multiple attack methods, and pulled it off across two different companies' systems without a single human telling it what to do.show more