Today, we're launching the largest open-source dataset of gaming... data for computer-use. 500+ hours of gameplay screen recordings + keystrokes/mouse movements, across Valorant, Minecraft, GTA and more. Link in the comments :) Markovshow more

Today, we're launching the world's largest open-source dataset of... computer-use recordings. 10,000+ hours across Salesforce, Blender, Photoshop and more, to automate the next level of white-collar work. Link in the comments :) Markovshow more

Today we're launching the most advanced computer-use dataset in... the world. 1,000+ hours of screen recordings along with mouse/keyboard inputs + annotations. Sourced from experts across coding, design, browser-use, research and more. Link in the comments :) Markovshow more

today we're launching a dataset of computer-use recordings to... build the next generation of computer-use agents. 300+ tasks across all kinds of software. open-source. link in the comments. Markovshow more

Spatial AI ( is building large real-world datasets to... teach robots how to navigate the world and complete tasks. Their first open source dataset, SEA (Spatial Everyday Activities), is the largest curated egocentric dataset of people carrying out real tasks, with 10,000 hours of data.show more

A Rerun Viewer for the DROID Dataset! DROID: A... Large-Scale In-The-Wild Robot Manipulation Dataset is a robot manipulation dataset by Alexander Khazatsky et al. with 76k demonstration trajectories or 350h of interaction data, collected across 564 scenes and 86 tasks.show more

📅 We're thrilled to unveil today the top Priority... 1 from our Q2 Roadmap: the Launch of the Data Lake Chain! This priority comes along with a new ground-breaking use case for $LAKE and the Data Lake App ready for deployment! Get ready for our most ambitious quarter yet as we embark on the largest implementation of blockchain in healthcare ever witnessed! 🔜🪐show more

Today we’re releasing SAIR, the Structurally Augmented IC50 Repository.... SAIR is the Largest Open-Sourced Binding Affinity Dataset with Cofolded 3D Structures. It includes more than 5 million protein-ligand structures, generated using our Large Quantitative Models and labeled with binding affinity data. By providing this unprecedented scale of structure-activity data, we aim to enable researchers to train and evaluate new AI models for drug discovery, bridging the historical gap between molecular structures and drug potency prediction. The SAIR dataset was created using the NVIDIA DGX Cloud and is now publicly available on the Google Cloud Platform. Access and build with SAIR today! 📰Read the Press Release: 📥Learn More and Download the Dataset at #DrugDiscovery #LQMs #SAIR #AIforScience #SandboxAQshow more

The newest version of our Almanac preprint is out,... and just in time for our demo at the Stanford AIMI Symposium 2023! Almanac is a retrieval-augmented LLM that provides up-to-date and verifiable answers to medical queries. Link: We benchmark our approach on a novel dataset of clinical scenarios (n = 130) evaluated by a panel of 5 board-certified & resident physicians, and demonstrate significant increases in factuality (mean of 18% at p-value < 0.05) across all specialties. More interestingly, because the retrieved data acts as a single source of truth, we find retrieval-based LLMs to be more robust to prompt injection and manipulation! Future work will involve expanding the scope of our dataset to more specialties and multimodal settings. #Medtwitter #MedEdshow more

It's #TeaseYaGame time! We're gonna use the opportunity to... tease some new places from Alabaster Dawn Lots of new enemies, areas, puzzles and music in the works! Steam Link in the comments!show more

The Last of Us Part II released six years... ago today and is still one of the most decorated titles in gaming history. Incredible stealth gameplay, crazy story, and still one of the most visually stunning games ever. Really can't wait to see more of Intergalactic.show more

Qubic #OpenScience #Neuraxon Life 2.5 (Research) version code released... & and a new Hugging Face massive dataset, almost 500Gb of raw TimeSeries Game data, 10 Sessions with 270+ rounds each, in total 100K+ Nxers in 2791 games with 3.76 Million Neurons & 17M Synapses to explore in a huge 1 Billion + events. By Jose Sánchez David Vivancos - e/acc for Qubic Science: Open Data Source Code: Dataset: Paper : Stay Tunned for more releases this week!show more

Figure is aiming to develop the world’s largest and... most diverse real-world humanoid pretraining dataset. For this purpose, they’re partnering with Brookfield, a global asset manager overseeing $1 trillion in assets, including 100,000 residential units, 500M square feet of commercial office space, and 160M square feet of logistics space. The data collected from this collaboration will be used to train Figure’s Helix AI model, enabling humanoids to perform tasks autonomously in real-world environments designed for humans. In addition to data collection, the partnership will explore support for next-generation GPU data centers, real estate for robotic training environments, and commercial use cases across Brookfield’s global footprint.show more

📢📢𝐍𝐞𝐑𝐒𝐞𝐦𝐛𝐥𝐞 𝐯𝟐 𝐃𝐚𝐭𝐚𝐬𝐞𝐭 𝐑𝐞𝐥𝐞𝐚𝐬𝐞📢📢 Head captures of 7.1MP from... 16 cameras at 73fps: * More recordings (425 people) * Better color calibration * Convenient download scripts The new version of our dataset adds 156 participants for a total of 425 different people. In its entirety, the dataset provides now 65 million images from over 15 hours of diverse human facial expression performances. We improved the color consistency of the recorded images with a better color calibration procedure. As a result, 3D reconstructions with images from the NeRSemble dataset should become better and look more realistic. Finally, we made it much easier to download the recordings with our new download repository. It now just takes a single command to download all frontal hair shake videos of all participants or to download all recordings of a single participant. Check it out: Awesome work by Tobias Kirschstein Simon Giebenhain !!!show more

Ready for a new AI and data platform that's... built for business? With IBM watsonx, you can advance your AI while you leverage the power of open-source technology. Learn more.show more

Over the Reality just hit another major milestone in... the AI era. We have now surpassed 200,000 mappings in our dataset. 🎉 These are not just images. They are high-quality 3D maps generated from the mapping activity of our global community, which has produced more than 94M images of real-world locations so far. The dataset also includes 900TB+ of spatial data that can power Visual AI models, Robotics VPS for real-world navigation and positioning, XR VPS for precise spatial anchoring and AR experiences, Spatial Computing applications, Digital Twins, and the next generation of real-world AI infrastructure. In just the past 2 weeks, our dataset grew by +17,955 mapped locations. That is nearly +10% growth in just 14 days. More maps. More data. More demand for $OVR.show more

MRC is already deployed across all of OpenAI’s largest... supercomputers that we use to train frontier models, including our site with Oracle Cloud Infrastructure (OCI) in Abilene, Texas, and in Microsoft’s Fairwater supercomputers. MRC is now available through the Open Compute Project for the entire industry to use and build on.show more

Decentralized infrastructure is set to push the boundaries of... gaming and many more industries for the foreseeable future! 🕹️ We're proud to play a big role in #DePIN revolution, by combining it with AI and gaming 💪 Thanks for the spotlight Coin Bureau ❤️show more

192,922 fans gathered in Downtown Raleigh on Saturday, making... the Carolina Hurricanes Championship Celebration the largest event in DTR's history! 🏆 Updated data provides a more refined estimate of Saturday’s visitation and underscores the magnitude of the event for both DTR and the city.show more

We are releasing the fastest TTS model as open... source! One of the biggest problems we encountered while optimizing TTS models is optimization itself. Since it is LLM-based, even optimizing with VLLM and SgLang libraries is not enough. Additionally, I made the outputs much better with special optimizations for training. The voices you are listening to are results obtained from only 20% of the model training. We trained these outputs on 8xB200 in 24 hours. Even though the dataset includes some low-quality data, the model's output is much better. We will release the code as open source tomorrow. Data: Emilia-3m Model: EchoDit (custom) Codec: DacVae Opt: Flash-attn + CacheDitshow more

Sharing this website with over 10,000 prompts and tons... of options for Claude, ChatGPT and Nano Banana. Organized by use cases, professions and much more. And the best part — it's completely free. (link in comments)show more