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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 :) @markov__ai

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Dev

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475,305 görüntüleme • 7 ay önce •via X (Twitter)

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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 :) @markov__ai
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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 :) @markov__ai

Dev

109,477 görüntüleme • 3 ay önce

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 :) Markov
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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 :) Markov

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Today, we’re launching computer-use CAD environments to train AI models for engineering. Task prompts, reference files, gold outputs, rubrics & human walkthrough screen-recordings. We're open-sourcing 50 tasks across AutoCAD, Solidworks & Siemens-NX. Link below @markov__ai
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Today, we’re launching computer-use CAD environments to train AI models for engineering. Task prompts, reference files, gold outputs, rubrics & human walkthrough screen-recordings. We're open-sourcing 50 tasks across AutoCAD, Solidworks & Siemens-NX. Link below @markov__ai

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Today, we're open sourcing the first computer-use dataset for design. We captured 200+ hours and 3400+ trajectories of real design work in Figma, recording step by step how designers execute complex, long-horizon tasks. FigmaTrace dataset, paper, and blog below :) PatronusAI
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Today, we're open sourcing the first computer-use dataset for design. We captured 200+ hours and 3400+ trajectories of real design work in Figma, recording step by step how designers execute complex, long-horizon tasks. FigmaTrace dataset, paper, and blog below :) PatronusAI

Anand Kannappan

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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.
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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.

Y Combinator

20,944 görüntüleme • 10 ay önce

Today, our computer-use datasets crossed 50,000+ hours. Screen recordings + synced mouse/keyboard actions + narrations across CAD, design, browser-use & more. Sourced from humans and available off the shelf today :) Samples below.
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Today, our computer-use datasets crossed 50,000+ hours. Screen recordings + synced mouse/keyboard actions + narrations across CAD, design, browser-use & more. Sourced from humans and available off the shelf today :) Samples below.

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The Grand Rising of the World's Largest Crypto Event 🏙️ 36 hours to doors open #TOKEN2049
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The Grand Rising of the World's Largest Crypto Event 🏙️ 36 hours to doors open #TOKEN2049

TOKEN2049

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Together with the Ego4D consortium, today we're releasing Ego-Exo4D, the largest ever public dataset of its kind to support research on video learning & multimodal perception — including 1,400+ hours of videos of skilled human activities. Download ➡️
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Together with the Ego4D consortium, today we're releasing Ego-Exo4D, the largest ever public dataset of its kind to support research on video learning & multimodal perception — including 1,400+ hours of videos of skilled human activities. Download ➡️

AI at Meta

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1/ Today we're announcing the stable Cua Driver release for Omarchy - a new foundation for computer use, built into the OS from the ground up. Over the last month, we worked directly with DHH, Spencer Bull and vaxry to bring a native synthetic cursor to Omarchy's Hyprland compositor, enabling true multi-cursor computer use at the OS level. Cua Driver is open source and available at
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1/ Today we're announcing the stable Cua Driver release for Omarchy - a new foundation for computer use, built into the OS from the ground up. Over the last month, we worked directly with DHH, Spencer Bull and vaxry to bring a native synthetic cursor to Omarchy's Hyprland compositor, enabling true multi-cursor computer use at the OS level. Cua Driver is open source and available at

Cua

337,766 görüntüleme • 15 gün önce

excited to announce that we’re open sourcing EGO-SNAKE the largest dataset of egocentric snake pov footage to train the next generation of autonomous vipers comment for a data sample
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excited to announce that we’re open sourcing EGO-SNAKE the largest dataset of egocentric snake pov footage to train the next generation of autonomous vipers comment for a data sample

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Most of the data needed to scale Physical AI models is private. At Lightwheel, we think that's worth changing. So this week we released the first 10,000 hours of EgoSuite-Open100K — an open egocentric human dataset for Physical AI. 100,000 hours coming in total. Learn more here:
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Most of the data needed to scale Physical AI models is private. At Lightwheel, we think that's worth changing. So this week we released the first 10,000 hours of EgoSuite-Open100K — an open egocentric human dataset for Physical AI. 100,000 hours coming in total. Learn more here:

Jonathan Stephens

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Today we opened shipping to Denmark, Sweden, and Finland! We're looking forward to reaching more of you as we go (and we're looking forward to the dozens of comments letting us know where to go next).
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Today we opened shipping to Denmark, Sweden, and Finland! We're looking forward to reaching more of you as we go (and we're looking forward to the dozens of comments letting us know where to go next).

Framework

69,561 görüntüleme • 2 yıl önce

We built open-source smart glasses with 6 times the battery of Meta Ray-Bans Save the post, open-sourcing everything in the next 10 hours
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We built open-source smart glasses with 6 times the battery of Meta Ray-Bans Save the post, open-sourcing everything in the next 10 hours

Nik Shevchenko

140,710 görüntüleme • 1 yıl önce

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!
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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!

Alabaster Dawn EA Out Now

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📢📢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 !!!
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📢📢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 !!!

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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 #MedEd
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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 #MedEd

Cyril Zakka, MD

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Trump: Today, we're thrilled to announce that Mesabi Metallics will be building the largest steel plant in American history. It's the largest plant, one of the largest plants in the world, but it's the largest plant in America by far.
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Trump: Today, we're thrilled to announce that Mesabi Metallics will be building the largest steel plant in American history. It's the largest plant, one of the largest plants in the world, but it's the largest plant in America by far.

Clash Report

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Most companies that shut down give up their impact. This startup did something much better: they open-sourced 1,274 hours of egocentric robotics data. 13,451 recordings of humans doing everyday tasks, as a gift to the robotics community. Thank you EIDON AI! Open source has a superpower: work can outlive the organization that created it. More startups should do this!
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Most companies that shut down give up their impact. This startup did something much better: they open-sourced 1,274 hours of egocentric robotics data. 13,451 recordings of humans doing everyday tasks, as a gift to the robotics community. Thank you EIDON AI! Open source has a superpower: work can outlive the organization that created it. More startups should do this!

clem 🤗

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Found 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)
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Found 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)

Dean W. Perkins

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DeepSeek was developed for under $6 million. ChatGPT spent $6 billion. The difference was an algorithmic breakthrough. TIG is home to DeepSeek-level breakthroughs across all of science. And today, we're unveiling our new vision for accelerating algorithmic innovation worldwide. The future of open science starts today ↓
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DeepSeek was developed for under $6 million. ChatGPT spent $6 billion. The difference was an algorithmic breakthrough. TIG is home to DeepSeek-level breakthroughs across all of science. And today, we're unveiling our new vision for accelerating algorithmic innovation worldwide. The future of open science starts today ↓

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