Microsoft just changed the game! 🔥 They've open-sourced bitnet.cpp:... a blazing-fast 1-bit LLM inference framework that runs directly on CPUs. Why is this a game-changer❓ You can now run 100B parameter models on local devices with up to 6x speed improvements and 82% less energy consumption—all without a GPU! The future we've been waiting for: fast, efficient, and private AI that works anytime, anywhere.✨ The model is also available on HuggingFace, you can try it right away! I've shared Link to the GitHub repo in next tweet, where you'll find all the details. _____ Find me → Akshay 🚀 ✔️ For more insights and tutorials on AI and Machine Learning!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

Let’s fucking goooo, starting today you can directly try... out AI models on FREE Colab notebooks from Hugging Face 🔥 Continuing with our mission to make AI accessible to the masses - we’re excited to support Colaboratory for fast exploration and rapid prototyping! BONUS: you can put a custom “notebook.ipynb” in your model repo and we’ll serve that directly!show more

Fireworks blazing fast LLM inference is now available on... Poe! Today, we’re excited to bring the power of the new Mistral 7B Instruct model to the Poe powered by our lightning-fast Fireworks inference platform. You can now have conversations with the Mistral 7B bot and even build your own bots on top of it. Try it here:show more

BlackBird now runs on 8GB RAM Macs. No GPU.... No cloud. Just fast, private AI agents - right on your MacBook Air. We optimized memory, speed, and thermal performance so anyone can build with AI. Try it: Next Stop: Windows Beta Drops This Week! DM Me if you want to try it. #OnDeviceAI #BlackBird #AIforEveryone #macOSshow more

Today we’re open-sourcing Stable Audio Open Small, a 341M-parameter... text-to-audio model optimized to run entirely on Arm CPUs. This means 99% of smartphones can now generate music-production samples in seconds, right on-device with no internet required. Built for fast, on-the-go creation, it turns your next quick idea into up to 11 seconds of audio. Generate drum loops, foley, riffs, and textures right where you are. No cords 🔌 just chords 🎹 You can learn more here:show more

Have you checked out the new Models tab in... your repo? 👀 It's part of the GitHub Models integration, now in public preview. 🚀 You can now compare various LLMs side-by-side to find the best fit for your app, and so much more. Get all the details 👇show more

Meet Stable Audio 3.0, the open-weight model family built... for artistic experimentation. This is our open invitation to experiment with generative audio. We believe the best innovations are still waiting to be built. The 4-1-1 on 3.0: 📣 You own your outputs, and can distribute and commercialize them under the Stability AI Community License (up to $1 million in revenue). 🎵 New and improved capabilities include variable-length generation up to six minutes, and full song composition on portable devices, no GPU required. ✅ Trained on a fully licensed dataset. 🎨 You can customize the models on your own library with support for LoRa training, which we’ve documented for the first time. More on the models 👇show more

We are entering an extremely exciting era for open-weight... models. Kimi K2.6 now feels like a top agentic model. I took it for a spin via Fireworks AI fast inference APIs. Kimi K2.6 has impressive agentic capabilities, design skills, and the ability to synthesize large amounts of information. I built a little Skill that produces survey papers on any AI research topic you want. (see example in the clip) You can use the skill to tell your agent to generate a survey on whatever topic and watch it go to work. The artifact was fully generated by Kimi.ai's Kimi K2.6. It's cheap and fast. Next step for me is to explore ways to continue integrating the capabilities of these models on use cases like automating my LLM knowledge bases and augmenting my agent memory capabilities. Stay tuned for more.show more

🏗️ Vibe coding build update #2 🏗️ Done: ✅Assets... for all the objects ✅Rigged model for the NPCs Once you have the assets in the right format, asset loading was a cakewalk on Rosebud AI. And the asset preview feature is so useful. Also KREA AI and MeshyAI are quite good at generating game assets, highly recommended ! I believe, in the future some Game engines are going to update their rendering pipeline so that the last layer is a diffusion model so that any style can be applied on the fly.show more

SOLD OUT 🌀 Everlyn’s raise on Kaito AI 🌊... Capital Launchpad sold out within 12 hours and is now oversubscribed, with a bit less than 3 days left until the close. The dream machine doesn’t just run on VC fuel. It runs on the network. And the network showed up. Thank you dreamers. This is only the beginning.show more

🧑‍🏫Did you know you can buy stablecoins instantly—no drafts,... no waiting? Just send a bank transfer, and in <5s your EUR is 1:1 converted to EURA on Arbitrum Our goal is blazing fast self-custody 🚀 all the perks of crypto without any of the delays you're used to...show more

Introducing Find the best local models based on real... data 1. People run and submit benchmarks 2. Stats aggregated over models / devices 3. Find the best model for you `npx whatcanirun`, fully open-sourceshow more

Why Mobile Wallet Protocol? Warpcast uses Mobile Wallet Protocol... to connect frames to a user's wallet on mobile devices. MWP is an open standard with great UX on mobile. Specifically: 1. It works 100% of the time. 2. It's fast. 3. It redirects you between apps smoothly See it in action with the Storage Fairy below. MWP was created by the Coinbase Wallet team and is an open protocol that can work with any wallet. Link in the next tweet. It's really well designed and can work with any wallet. If you're a wallet thinking of supporting MWP, reach out to us! Why not Wallet Connect? WalletConnect works great on desktop and we use it in Warpcast. But on mobile, we ran into several issues that led to bad UX or outright failures. We've shared feedback with the WC team and other wallets about the challenges we've faced and people are working on improving the experience.show more

✨ Every time the video models get better, the... try on model on Photo AI also becomes a lot more useful, as a large % of my customers now are e-commerce store And showing clothes in a video is nice for sales! With AI this means stores don't need to do expensive shoots flying a model and entire camera and light crew around the world They can just upload a few photos of their models, then upload the clothes, and describe the setting (like a beach in Thailand) and in less than 10 seconds it's generated, for a video in less than a minute! Below is the input: a dress laid flat, and output: a full video shootshow more

ByteDance just open sourced an AI SuperAgent that can... research, code, build websites, create slide decks, and generate videos. All by itself. DeerFlow 2.0 (27K+ GitHub stars ⭐️), an AI system acting like an autonomous employee with its own computer workspace to research and code. Standard chatbots only generate text and forget your preferences. DeerFlow solves this by giving the AI an isolated virtual computer environment where it safely runs programs. When given a massive task, the main program creates several smaller AI assistants to work simultaneously. It also saves your past workflows so it gets smarter about your needs. DeerFlow is model-agnostic — it works with any LLM that implements the OpenAI-compatible API. Fully supports running local models on your own computer using tools like Ollama. An example - you ask for research on the top 10 AI startups in 2026 for a presentation, the lead agent in DeerFlow breaks that big job into smaller sub-tasks. It assigns one sub-agent to look into each company, another to find funding details, and a third to handle competitor analysis. These agents do all their work in parallel. Everything eventually converges, and a final agent pulls the results into a slide deck complete with custom visuals.show more

Visualizing complex data in Python just got easier! Meet... Cosmograph for Python 🪐: The widget brings GPU-accelerated, interactive layout graph rendering right inside your Jupyter notebooks. Here’s why it’s a game-changer: ⚡ GPU-accelerated performance ⛓️ Interactive network exploration with pan, zoom, hover & selection ⚙️ Rich configuration APIs for layout, color, size & more 📦 Seamless notebook integration & easy Python installation But that’s not all: ✅ Force-directed simulations for dynamic layouts ✅ Smooth handling of large-scale networks ✅ Minimal setup—just pip install cosmograph Link to the repo in next tweet! ______ Follow us → Daily Dose of Data Science ✔️ For more insights & tutorials on AI and Machine Learning.show more

Turn complex docs into clean, LLM-ready data! Every AI... company I've talked to is solving the same problem: how do you build systems that don't hallucinate and back up every answer with proper citations? Tensorlake is a tool that extracts custom-defined structured data from any unstructured document in 3 steps: ↳ Define your schema ↳ Enable citations ↳ Extract You get RAG-ready data with precise citations and bounding boxes. Feed this to your LLM, and you'll generate responses that are citation-backed and fully auditable. This is the difference between a demo and a production system. When your AI can show exactly where it got its information, you move from proof-of-concept to something people can actually trust and deploy. I've shared the Tensorlake GitHub repo in the replies!show more