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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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Dev

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13,177 görüntüleme • 22 gün önce •via X (Twitter)

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Today, we're launching the world's largest open-source CAD dataset for computer-use. 1,000+ hours across SolidWorks, Siemens-NX, AutoCAD & more. Screen recordings, mouse/keyboard actions, input diagrams, output files, rubrics and narrations. Link in the comments :)
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Today, we're launching the world's largest open-source CAD dataset for computer-use. 1,000+ hours across SolidWorks, Siemens-NX, AutoCAD & more. Screen recordings, mouse/keyboard actions, input diagrams, output files, rubrics and narrations. Link in the comments :)

Dev

151,786 görüntüleme • 4 gün önce

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

104,483 görüntüleme • 1 ay önce

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. Markov
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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. Markov

Dev

81,060 görüntüleme • 6 ay önce

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
0:10

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

Dev

473,118 görüntüleme • 5 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
0:19

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

Dev

47,966 görüntüleme • 4 ay önce

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
0:19

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

133,155 görüntüleme • 5 gün önce

Today we're launching local scheduled tasks in Claude Code desktop. Create a schedule for tasks that you want to run regularly. They'll run as long as your computer is awake.
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Today we're launching local scheduled tasks in Claude Code desktop. Create a schedule for tasks that you want to run regularly. They'll run as long as your computer is awake.

Thariq

3,732,058 görüntüleme • 5 ay önce

We're open-sourcing Asimov Legs, a bipedal robotic system. It's a complete leg design with 6 DOF per leg, RSU ankle architecture, passive toe joints. Built with off-the-shelf components and compatible with MJF 3D printing. What we're open-sourcing & sharing: - Full mechanical CAD (STEP files) - Actuators list - XML files for simulation (MuJoCo) Repo for all: If you want to support the project, visit for partnership DM us.
0:10

We're open-sourcing Asimov Legs, a bipedal robotic system. It's a complete leg design with 6 DOF per leg, RSU ankle architecture, passive toe joints. Built with off-the-shelf components and compatible with MJF 3D printing. What we're open-sourcing & sharing: - Full mechanical CAD (STEP files) - Actuators list - XML files for simulation (MuJoCo) Repo for all: If you want to support the project, visit for partnership DM us.

Asimov

23,824 görüntüleme • 7 ay önce

Perplexity Computer is massively multi-model. Computer orchestrates models to run agents in parallel, leveraging Opus to match each task to the model best suited for it. In total, Computer can route work across 19 different models.
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Perplexity Computer is massively multi-model. Computer orchestrates models to run agents in parallel, leveraging Opus to match each task to the model best suited for it. In total, Computer can route work across 19 different models.

Perplexity

534,569 görüntüleme • 6 ay önce

wow.. this new AI agent for UI design is crazy I just use HeroUI to create a fully functional project management app in mins using only text prompts test link below, reply "prompts" I’ll send you the full prompt + tricks tutorial & examples:
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wow.. this new AI agent for UI design is crazy I just use HeroUI to create a fully functional project management app in mins using only text prompts test link below, reply "prompts" I’ll send you the full prompt + tricks tutorial & examples:

el.cine

628,740 görüntüleme • 1 yıl önce

Grok Computer is expected to roll out soon. It is the new computer-use agent from xAI, designed to control a PC like a human: Viewing the screen, moving the mouse, typing, navigating and handling tasks autonomously.
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Grok Computer is expected to roll out soon. It is the new computer-use agent from xAI, designed to control a PC like a human: Viewing the screen, moving the mouse, typing, navigating and handling tasks autonomously.

Testlabor

94,206 görüntüleme • 3 ay önce

AI workflows create, store, and move files. AIOZ Storage provides the S3-compatible storage layer behind those flows. What this supports: → Persistent storage for inputs & outputs → Shared assets across applications → Storage infrastructure built for growing AI workloads
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AI workflows create, store, and move files. AIOZ Storage provides the S3-compatible storage layer behind those flows. What this supports: → Persistent storage for inputs & outputs → Shared assets across applications → Storage infrastructure built for growing AI workloads

AIOZ Network

1,343,501 görüntüleme • 1 ay önce

Always loved cephalopods (& bulldogs)… this Starry Night Octopus is growing & learning fast. Next steps: 1) train him to use an iPad, 2) use AI to translate his camouflage patterns into human speech.
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Always loved cephalopods (& bulldogs)… this Starry Night Octopus is growing & learning fast. Next steps: 1) train him to use an iPad, 2) use AI to translate his camouflage patterns into human speech.

Andrew D. Huberman, Ph.D.

83,418 görüntüleme • 9 ay önce

Rack and Pinion Oscillating mechanism #solidworks #CAD
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Rack and Pinion Oscillating mechanism #solidworks #CAD

EngineerKnow

67,041 görüntüleme • 2 ay önce

As a supporter of the open weights ecosystem, we're proud to be a post-training partner for NVIDIA Nemotron. We post-train Nemotron models for customer use cases, de-risk mainline RL runs on our AC2 platform and training stack, and contribute aggregate workload statistics for inference benchmarking. This is how open models get better, and we're excited to keep working closely with NVIDIA AI.
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As a supporter of the open weights ecosystem, we're proud to be a post-training partner for NVIDIA Nemotron. We post-train Nemotron models for customer use cases, de-risk mainline RL runs on our AC2 platform and training stack, and contribute aggregate workload statistics for inference benchmarking. This is how open models get better, and we're excited to keep working closely with NVIDIA AI.

Applied Compute

24,887 görüntüleme • 20 gün önce

I just made a full walkthrough that makes it easy to write prompts for GPT and Claude that consistently get better results inside, you’ll get: – a simple structure that works across any use case – what context to include to get sharper answers – ways to make outputs sound personal and not robotic – easy techniques to avoid hallucinations and bad outputs comment “prompt” and I’ll DM you the full guide (must be following)
0:17

I just made a full walkthrough that makes it easy to write prompts for GPT and Claude that consistently get better results inside, you’ll get: – a simple structure that works across any use case – what context to include to get sharper answers – ways to make outputs sound personal and not robotic – easy techniques to avoid hallucinations and bad outputs comment “prompt” and I’ll DM you the full guide (must be following)

Tyler

10,533 görüntüleme • 1 yıl önce

Retexture any logo in 2 minutes All you need is Nano Banana, Midjourney & my 10 prompts below Watch the tutorial below, save for future use:
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Retexture any logo in 2 minutes All you need is Nano Banana, Midjourney & my 10 prompts below Watch the tutorial below, save for future use:

AmirMušić

98,492 görüntüleme • 9 ay önce

Perplexity Computer in 60 seconds: 1. It's a cloud-based AI employee that runs tasks in the background. 2. 19 models working together. Claude for reasoning, GPT-5.2 for research, Grok for speed tasks. You don't pick. It routes automatically. 3. 400+ connectors. Gmail, Slack, Notion, Salesforce, HubSpot. One click to enable each. 4. Credits, not tokens. Simple tasks cost ~30. Complex builds cost 1,000+. Vague prompts waste them. Specific prompts save them. 5. Spaces = persistent project folders. Upload context once, every task inherits it. 6. Scheduled tasks run on autopilot. "Every Monday, prep my calendar." Set it and forget it. The PRD hack alone (in the article) will save you hundreds in credits. Full breakdown in the article below.
0:17

Perplexity Computer in 60 seconds: 1. It's a cloud-based AI employee that runs tasks in the background. 2. 19 models working together. Claude for reasoning, GPT-5.2 for research, Grok for speed tasks. You don't pick. It routes automatically. 3. 400+ connectors. Gmail, Slack, Notion, Salesforce, HubSpot. One click to enable each. 4. Credits, not tokens. Simple tasks cost ~30. Complex builds cost 1,000+. Vague prompts waste them. Specific prompts save them. 5. Spaces = persistent project folders. Upload context once, every task inherits it. 6. Scheduled tasks run on autopilot. "Every Monday, prep my calendar." Set it and forget it. The PRD hack alone (in the article) will save you hundreds in credits. Full breakdown in the article below.

Corey Ganim

106,105 görüntüleme • 4 ay önce

Train AI & increase your earnings with the Timeworx dApp! Solve fun tasks and get rewarded - fast & simple. Learn more here:
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Train AI & increase your earnings with the Timeworx dApp! Solve fun tasks and get rewarded - fast & simple. Learn more here:

Timeworx

8,991,503 görüntüleme • 1 yıl önce