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Codex wrote the fix. Simular found the bug in Edge on a real Windows PC and verified it #1 on OSWorld 2.0 in partial success rate (79.38%) Sai = $14.34 per task; Anthropic's Claude Computer Use with Opus 5 = $24.11 Comment "prompt" and I'll DM it to you

Luke The Dev

16,567 subscribers

14,018 Aufrufe • vor 12 Tagen •via X (Twitter)

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9 Kommentare

Profilbild von Luke The Dev

Luke The Devvor 12 Tagen

How it's wired: one `codex mcp add sai` command, then one prompt with the bug report. Sai runs on its own cloud Windows machine, so Codex gets a real browser to test with. Works the same from Claude Code and Cursor. Both Sai runs together cost $0.39.

Profilbild von micheal.hl

micheal.hlvor 12 Tagen

@SimularAI Is the $14.34 price point including the Codex API call overhead too?

Profilbild von The Rail✨

The Rail✨vor 12 Tagen

@SimularAI Sai undercutting Claude computer use by $10 per run while beating OSWorld 2.0 specs is wild 🚀

Profilbild von Chad Wager

Chad Wagervor 12 Tagen

@SimularAI Wait did Codex write the whole patch or just suggest the lines?

Profilbild von Hubert Thomson

Hubert Thomsonvor 12 Tagen

@SimularAI SimularAI running tests on actual Edge in Windows makes all the difference here

Profilbild von Leonas

Leonasvor 12 Tagen

@SimularAI 79.38% on OSWorld is wild

Profilbild von Busari Taiwo Ayoola

Busari Taiwo Ayoolavor 12 Tagen

@SimularAI 14 bucks vs 24 is kind of a massive gap

Profilbild von Opinio365°

Opinio365°vor 12 Tagen

@SimularAI prompt please, wanna see how you scoped the Edge bug reproduction

Profilbild von CrypticMunch

CrypticMunchvor 12 Tagen

@SimularAI Honestly assumed OSWorld numbers were cherrypicked, but using Codex to patch an Edge bug found by Simular on real hardware proves Sai is legit.

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The interface matters. Give your agent a computer. It stops block me when doing compute use 😂 Connected Codex to Simular’s Sai MCP, sent a plain-English task, and watched Sai operate Windows Calculator on a hosted desktop. It entered the calculations through the app and left both results visible in History. For developers, having the computer and desktop control available behind MCP is pretty useful. I can hand my agent a desktop task without building and maintaining the VM, screenshot pipeline, and action loop myself. Simular’s Agent S4 research also caught my attention: keep the model and agent harness fixed, then improve the interfaces the agent works through. Alongside clicks and typing, better tools can turn repetitive actions into a single operation. I think that direction has a lot of potential for vertical agents too. This video is a small, real Sai product demo; it doesn’t reproduce the S4 experiments. Waiting was cut from the recording. Separately, Simular reports the highest partial score on OSWorld 2.1—79.38%—for Sai with Claude Opus 5, at $14.34 per benchmark task. Those are vendor benchmark figures, separate from this demo.

The interface matters. Give your agent a computer. It stops block me when doing compute use 😂 Connected Codex to Simular’s Sai MCP, sent a plain-English task, and watched Sai operate Windows Calculator on a hosted desktop. It entered the calculations through the app and left both results visible in History. For developers, having the computer and desktop control available behind MCP is pretty useful. I can hand my agent a desktop task without building and maintaining the VM, screenshot pipeline, and action loop myself. Simular’s Agent S4 research also caught my attention: keep the model and agent harness fixed, then improve the interfaces the agent works through. Alongside clicks and typing, better tools can turn repetitive actions into a single operation. I think that direction has a lot of potential for vertical agents too. This video is a small, real Sai product demo; it doesn’t reproduce the S4 experiments. Waiting was cut from the recording. Separately, Simular reports the highest partial score on OSWorld 2.1—79.38%—for Sai with Claude Opus 5, at $14.34 per benchmark task. Those are vendor benchmark figures, separate from this demo.

Guitar Cat + LLM 「Will @ SGLang Summit in SF」

17,415 Aufrufe • vor 15 Tagen

Python person here. Every time I tried browser automation on a site without an API, it died the moment the page layout changed. The Sai API clip is the opposite of that experience. The Muse app gets told to log in to Product Hunt with Google. You see its Windows cloud computer live in a tab, the sign-in dialog pops up, it gets through, then it screenshots the page and lists today's top 5 launches. Plain English in, result out. No selectors. No headless Chrome flags. No VM I have to keep alive. It's model-agnostic, so Claude, GPT, DeepSeek or Qwen can do the thinking while Sai drives the machine. Sai is #1 on OSWorld 2.0 in partial success rate (79.38%), and anything repeated gets learned once and reused, which is exactly where automation costs usually explode. Also nice: the clip ends on a list of machines that are all "online". One computer per agent, not one browser for everybody. Claude Code, Codex and Cursor all work with it:

Python person here. Every time I tried browser automation on a site without an API, it died the moment the page layout changed. The Sai API clip is the opposite of that experience. The Muse app gets told to log in to Product Hunt with Google. You see its Windows cloud computer live in a tab, the sign-in dialog pops up, it gets through, then it screenshots the page and lists today's top 5 launches. Plain English in, result out. No selectors. No headless Chrome flags. No VM I have to keep alive. It's model-agnostic, so Claude, GPT, DeepSeek or Qwen can do the thinking while Sai drives the machine. Sai is #1 on OSWorld 2.0 in partial success rate (79.38%), and anything repeated gets learned once and reused, which is exactly where automation costs usually explode. Also nice: the clip ends on a list of machines that are all "online". One computer per agent, not one browser for everybody. Claude Code, Codex and Cursor all work with it:

XIAOAi

20,323 Aufrufe • vor 29 Tagen

You can now use Claude Code and GitHub CLI directly inside Perplexity Computer. We gave it an open issue on Openclaw. Computer: → Forked the repo → Wrote a plan to fix the bug → Opened Claude Code and implemented it → Submitted a PR via GitHub CLI

You can now use Claude Code and GitHub CLI directly inside Perplexity Computer. We gave it an open issue on Openclaw. Computer: → Forked the repo → Wrote a plan to fix the bug → Opened Claude Code and implemented it → Submitted a PR via GitHub CLI

Computer

417,250 Aufrufe • vor 8 Monaten

Our agent scientist, Agent S4, just got an open 27B model to beat GPT-5.5 and Claude Opus 4.8 on OSWorld V2, with the model's weights left exactly as they were. With the interfaces S4 evolved, Qwen3.8-27B completes 21.3% of the 108 tasks, the highest binary success of any open-source computer-use agent and 3.8x the same model with fixed interfaces. It costs $1.10 per task, against $25.50 for GPT-5.5 and $72.40 for Opus 4.8 💸 Full write-up:

Our agent scientist, Agent S4, just got an open 27B model to beat GPT-5.5 and Claude Opus 4.8 on OSWorld V2, with the model's weights left exactly as they were. With the interfaces S4 evolved, Qwen3.8-27B completes 21.3% of the 108 tasks, the highest binary success of any open-source computer-use agent and 3.8x the same model with fixed interfaces. It costs $1.10 per task, against $25.50 for GPT-5.5 and $72.40 for Opus 4.8 💸 Full write-up:

Simular

607,928 Aufrufe • vor 16 Tagen

Windows users, this one’s for you. Computer use now works on Windows, so Codex can take action on your Windows computer. And with Windows support for Codex in the ChatGPT mobile app, you can start, review, and steer tasks on the go while work continues on your Windows machine. An early experience, but we’re working on more ways to keep your work moving, wherever you are.

Windows users, this one’s for you. Computer use now works on Windows, so Codex can take action on your Windows computer. And with Windows support for Codex in the ChatGPT mobile app, you can start, review, and steer tasks on the go while work continues on your Windows machine. An early experience, but we’re working on more ways to keep your work moving, wherever you are.

OpenAI

1,411,960 Aufrufe • vor 5 Monaten

Anthropic just announced Computer Use It allows Claude to control your computer screen based on a prompt and take actions on your behalf The use cases in agentic coding with automated debugging, customer support, and education are going to be INSANE

Anthropic just announced Computer Use It allows Claude to control your computer screen based on a prompt and take actions on your behalf The use cases in agentic coding with automated debugging, customer support, and education are going to be INSANE

Rowan Cheung

1,025,322 Aufrufe • vor 2 Jahren

🚀 Anthropic's Claude Opus 5.5 is now generally available in GitHub Copilot. Our early testing shows it stands out in efficiency, delivering task resolution comparable to Claude Opus 5 while using significantly fewer steps and tokens, with fast error recovery on multistep tasks. Try it out for agentic coding, long-running agentic tasks, and knowledge work. Find it in the GitHub Copilot app, CLI, and Visual Studio Code.

🚀 Anthropic's Claude Opus 5.5 is now generally available in GitHub Copilot. Our early testing shows it stands out in efficiency, delivering task resolution comparable to Claude Opus 5 while using significantly fewer steps and tokens, with fast error recovery on multistep tasks. Try it out for agentic coding, long-running agentic tasks, and knowledge work. Find it in the GitHub Copilot app, CLI, and Visual Studio Code.

GitHub

124,418 Aufrufe • vor 1 Monat

I just reverse-engineered Apple AirDrop with Opus 5.5 to send files between my Mac & Windows PC this is insane... drag a file onto the other computer → hop. it's there. no cloud. no account. no cable. → here's the build step by step: • step 1 → open Claude Code on Opus 5.5 in an empty folder and paste the prompt below • step 2 → Opus picks the stack: one Electron codebase that runs on macOS and Windows • step 3 → discovery: every 1.5 s each computer says "i'm here" over UDP on your local network. the other one pops up on a radar • step 4 → transfer: files stream directly between the two machines. the other side gets Accept / Decline. "always accept" for your own computers • step 5 → before any UI, Opus wrote a test: two fake devices find each other and send a folder + a 3 MB file, byte for byte • step 6 → design: Opus split the work across parallel agents. one rebuilt the iOS 17 NameDrop glow as a WebGL shader, one drew 3 icon concepts and picked the best, one built the download site • step 7 → separate reviewer agents checked every piece. one caught a shader bug that would've rendered black on the Mac. i'm on Windows, i'd never have seen it • step 8 → GitHub Actions builds the .dmg and the .exe on every release. the Mac build runs on Apple hardware in the cloud, not on my PC • step 9 → first launch on the Mac: the icon just bounced in the dock. Opus added a startup log and a fallback that forces the window open. next build opened fine one afternoon. zero lines written by me. drop it on the Mac. it lands on the PC. that's it... find full prompt below ↓ Then read the article on how to reverse-engineer anything with Opus 5.5.

I just reverse-engineered Apple AirDrop with Opus 5.5 to send files between my Mac & Windows PC this is insane... drag a file onto the other computer → hop. it's there. no cloud. no account. no cable. → here's the build step by step: • step 1 → open Claude Code on Opus 5.5 in an empty folder and paste the prompt below • step 2 → Opus picks the stack: one Electron codebase that runs on macOS and Windows • step 3 → discovery: every 1.5 s each computer says "i'm here" over UDP on your local network. the other one pops up on a radar • step 4 → transfer: files stream directly between the two machines. the other side gets Accept / Decline. "always accept" for your own computers • step 5 → before any UI, Opus wrote a test: two fake devices find each other and send a folder + a 3 MB file, byte for byte • step 6 → design: Opus split the work across parallel agents. one rebuilt the iOS 17 NameDrop glow as a WebGL shader, one drew 3 icon concepts and picked the best, one built the download site • step 7 → separate reviewer agents checked every piece. one caught a shader bug that would've rendered black on the Mac. i'm on Windows, i'd never have seen it • step 8 → GitHub Actions builds the .dmg and the .exe on every release. the Mac build runs on Apple hardware in the cloud, not on my PC • step 9 → first launch on the Mac: the icon just bounced in the dock. Opus added a startup log and a fallback that forces the window open. next build opened fine one afternoon. zero lines written by me. drop it on the Mac. it lands on the PC. that's it... find full prompt below ↓ Then read the article on how to reverse-engineer anything with Opus 5.5.

Movez

59,519 Aufrufe • vor 12 Tagen

1/ ego (lite) has just launched on Windows in beta. It's a Chromium-based browser that lets you use Claude Code, Codex or Cursor to browse websites and carry out tasks. In this demo, Claude Code uses it to research and compare coding tools.

1/ ego (lite) has just launched on Windows in beta. It's a Chromium-based browser that lets you use Claude Code, Codex or Cursor to browse websites and carry out tasks. In this demo, Claude Code uses it to research and compare coding tools.

Chubby♨️

19,956 Aufrufe • vor 19 Tagen

My workflow to spin up 3 coding agents at once: - type “ai” in terminal - launches Claude Code, Gemini CLI, & Codex CLI - fully synced windows - prompt w/ voice - hit send & watch Now Claude Opus 4, Gemini 2.5 Pro, and OpenAI o3 work on task - you pick the winner. Guide below.

My workflow to spin up 3 coding agents at once: - type “ai” in terminal - launches Claude Code, Gemini CLI, & Codex CLI - fully synced windows - prompt w/ voice - hit send & watch Now Claude Opus 4, Gemini 2.5 Pro, and OpenAI o3 work on task - you pick the winner. Guide below.

Mckay Wrigley

218,542 Aufrufe • vor 1 Jahr

You can now use the Claude Code and Codex harnesses directly whenever you start a cloud agent in Warp. Here's engineer Lili Wilson to show how to implement a real feature in the cloud, with computer use and automated code review to validate work:

You can now use the Claude Code and Codex harnesses directly whenever you start a cloud agent in Warp. Here's engineer Lili Wilson to show how to implement a real feature in the cloud, with computer use and automated code review to validate work:

Warp

14,055 Aufrufe • vor 5 Monaten

Someone gave GPT-6 and Fable 5.1 access to Canva. One smoked the other (it's not even close). Claude Fable 5.1 is on the left. GPT-6 Astra is on the right. The gap is not small. It comes down to one test (ARC-AGI 3). It drops a model into a game with no instructions and makes it work them out. Astra solved levels in fewer moves than you or I would, 96% of the time. Claude Opus 5 managed less than half of that. That's why everyone is shouting about AGI again. You can turn this on yourself in about two minutes: 1. Open the ChatGPT desktop app, switch to Work. 2. Go to Plugins, then Computer Use. Install it. 3. Switch on the server and skill toggles. 4. Allow Screen Recording and Accessibility. 5. Point it at one app and ask it do something. I wrote up the full Claude → Codex migration. Access it here → Repost ♻️ to help someone in your network.

Someone gave GPT-6 and Fable 5.1 access to Canva. One smoked the other (it's not even close). Claude Fable 5.1 is on the left. GPT-6 Astra is on the right. The gap is not small. It comes down to one test (ARC-AGI 3). It drops a model into a game with no instructions and makes it work them out. Astra solved levels in fewer moves than you or I would, 96% of the time. Claude Opus 5 managed less than half of that. That's why everyone is shouting about AGI again. You can turn this on yourself in about two minutes: 1. Open the ChatGPT desktop app, switch to Work. 2. Go to Plugins, then Computer Use. Install it. 3. Switch on the server and skill toggles. 4. Allow Screen Recording and Accessibility. 5. Point it at one app and ask it do something. I wrote up the full Claude → Codex migration. Access it here → Repost ♻️ to help someone in your network.

Charlie Hills

38,355 Aufrufe • vor 2 Monaten

Run Codex 24/7 in the cloud with Atomic Bot! Just hand it a repo and close the laptop. One click to start. We ran it on ours first and it found a bug nobody had answered. Codex fixed it before we got back.

Run Codex 24/7 in the cloud with Atomic Bot! Just hand it a repo and close the laptop. One click to start. We ran it on ours first and it found a bug nobody had answered. Codex fixed it before we got back.

atomicbot.ai

23,432 Aufrufe • vor 2 Monaten

Two years ago, we built OSWorld 1.0 — the benchmark that became the standard for computer-use agents. Agents now score 83.5% on it. Problem solved? Not even close. 🚀Today we introduce OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks. What's new: 🎯 108 real-world workflows, each ~1.6 hours ⏱️ for a skilled human ⚙️ ~318 tool calls/task vs. ~30 in OSWorld 1.0 🌍 Grounded in authentic artifacts & stateful user profiles ⚡ Captures real phenomena: dynamic environments, streaming interaction, cross-source reasoning, implicit-state inference & more 📊 Best results: Claude Opus 4.8 reaches the highest accuracy at 20.6%, while GPT-5.5 is far more token-efficient but plateaus near 13%. No one is close to solving real computer use. 🏠 Homepage: 📄 Paper: 💻 Code: 🤗 Dataset: 🧵 [1/8]

Two years ago, we built OSWorld 1.0 — the benchmark that became the standard for computer-use agents. Agents now score 83.5% on it. Problem solved? Not even close. 🚀Today we introduce OSWorld 2.0: Benchmarking Computer Use Agents on Long-Horizon Real-World Tasks. What's new: 🎯 108 real-world workflows, each ~1.6 hours ⏱️ for a skilled human ⚙️ ~318 tool calls/task vs. ~30 in OSWorld 1.0 🌍 Grounded in authentic artifacts & stateful user profiles ⚡ Captures real phenomena: dynamic environments, streaming interaction, cross-source reasoning, implicit-state inference & more 📊 Best results: Claude Opus 4.8 reaches the highest accuracy at 20.6%, while GPT-5.5 is far more token-efficient but plateaus near 13%. No one is close to solving real computer use. 🏠 Homepage: 📄 Paper: 💻 Code: 🤗 Dataset: 🧵 [1/8]

XLANG NLP Lab

174,132 Aufrufe • vor 4 Monaten

I've built this little website to view my Goodreads bookshelf in a much nicer way: If you'd like to get a version for your books, LMK and I'll open-source the code on Github ... or I'll just give you the prompt ... or you just point Claude/Codex to the URL and tell it to copy/rebuild it. :)

I've built this little website to view my Goodreads bookshelf in a much nicer way: If you'd like to get a version for your books, LMK and I'll open-source the code on Github ... or I'll just give you the prompt ... or you just point Claude/Codex to the URL and tell it to copy/rebuild it. :)

Christoph Janz 🕊

25,493 Aufrufe • vor 21 Tagen

Computer use, the browser tool, the Skills API, and the Files API are now generally available on the Claude Platform. Automate work in applications that have no API with fewer round trips per task, and build Claude Managed Agents on versioned skills and reusable files.

Computer use, the browser tool, the Skills API, and the Files API are now generally available on the Claude Platform. Automate work in applications that have no API with fewer round trips per task, and build Claude Managed Agents on versioned skills and reusable files.

ClaudeDevs

1,802,167 Aufrufe • vor 2 Monaten

i just plugged jevrouter into claude code and it's actually insane 💀 same bug. same repo. same prompt. left is opus 5.5 doing everything right is claude code on jev, switching models mid task opus plans it. deepseek writes it. sol takes the hard fix. glm cleans up watch the bill at the bottom opus: 62s, $0.32 jev: 44s, $0.19 both passed all 9 tests i'm never going back

i just plugged jevrouter into claude code and it's actually insane 💀 same bug. same repo. same prompt. left is opus 5.5 doing everything right is claude code on jev, switching models mid task opus plans it. deepseek writes it. sol takes the hard fix. glm cleans up watch the bill at the bottom opus: 62s, $0.32 jev: 44s, $0.19 both passed all 9 tests i'm never going back

Vadim

12,287 Aufrufe • vor 1 Monat

This is the appeal script that got 14 channels monetized again, with a 100% success rate! Comment "SCRIPT" and I'll send it to you! (Must follow so I can DM you)

This is the appeal script that got 14 channels monetized again, with a 100% success rate! Comment "SCRIPT" and I'll send it to you! (Must follow so I can DM you)

wannercashcow

32,980 Aufrufe • vor 1 Jahr

Just found an open-source tool that lets you see how well an AI can actually use a computer. it’s called OSWorld 2.0. you give the AI a real task on a computer, then watch to see if it can figure everything out and finish it. it gives you: → real computer tasks, not simple questions → tasks that can take many steps to finish → the same computer setup for every AI → websites made for testing → all the files and tasks for free this is also the environment used to test computer-use systems from OpenAI and Anthropic. so if you’re building AI agents, researching computer use, or just want to see what these models can actually do, you can run the same tests yourself instead of relying only on benchmark scores. the labs publish the scores. this repo is where the actual tests come from. bookmark this.

Just found an open-source tool that lets you see how well an AI can actually use a computer. it’s called OSWorld 2.0. you give the AI a real task on a computer, then watch to see if it can figure everything out and finish it. it gives you: → real computer tasks, not simple questions → tasks that can take many steps to finish → the same computer setup for every AI → websites made for testing → all the files and tasks for free this is also the environment used to test computer-use systems from OpenAI and Anthropic. so if you’re building AI agents, researching computer use, or just want to see what these models can actually do, you can run the same tests yourself instead of relying only on benchmark scores. the labs publish the scores. this repo is where the actual tests come from. bookmark this.

MIKE

14,387 Aufrufe • vor 1 Monat

I just reverse-engineered CCleaner / CleanMyMac with Opus 5.5 for Mac & Windows PC this is insane... one tap → 14.6 GB of junk gone. fully open-source and free. → here’s the build step by step: • step 1 → open Claude Code on Opus 5.5 in an empty folder, paste the prompt below + a few CleanMyMac screenshots • step 2 → Opus didn’t start coding. it drew 9 UI concepts on a canvas first. i picked one, it rebuilt the fonts, icons and glass buttons until it looked like Apple made it • step 3 → i sent it a random video of smoky gradients. Opus turned it into a live WebGL shader: “cosmic wind” rising behind the scan result • step 4 → stack: one Electron + React codebase that runs on macOS and Windows • step 5 → Opus split the build across 8 parallel agents. one wrote the junk scanner, one the disk map, one the AI assistant, one the tips & feedback screens, one the installers • step 6 → a separate safety agent attacked every line that deletes something. it caught a Windows short-name trick (DOCUME~1) that could’ve sent my whole Documents folder to the Recycle Bin. and an icon loader that could leak my Windows password hash to a remote machine • step 7 → the disk map is a physics toy: drag a folder bubble, throw it, watch it bump the others • step 8 → built-in AI: plug in Claude or ChatGPT and ask “what can i safely delete?” it only sees file names and sizes, never contents • step 9 → GitHub Actions builds the .dmg and the .exe on every release. the Mac build runs on Apple hardware in the cloud, not on my PC • step 10 → first real test: the startup-apps toggle said “Windows did not allow the change” Opus found PowerShell was losing the exit code after the admin prompt, made the app check the registry instead. next build: works one afternoon. zero lines written by me. 14.6 GB freed on the first click. that’s it... Find full prompt below ↓ Then, read how to rebuild any app from scratch with Opus 5.5 in the article below.

I just reverse-engineered CCleaner / CleanMyMac with Opus 5.5 for Mac & Windows PC this is insane... one tap → 14.6 GB of junk gone. fully open-source and free. → here’s the build step by step: • step 1 → open Claude Code on Opus 5.5 in an empty folder, paste the prompt below + a few CleanMyMac screenshots • step 2 → Opus didn’t start coding. it drew 9 UI concepts on a canvas first. i picked one, it rebuilt the fonts, icons and glass buttons until it looked like Apple made it • step 3 → i sent it a random video of smoky gradients. Opus turned it into a live WebGL shader: “cosmic wind” rising behind the scan result • step 4 → stack: one Electron + React codebase that runs on macOS and Windows • step 5 → Opus split the build across 8 parallel agents. one wrote the junk scanner, one the disk map, one the AI assistant, one the tips & feedback screens, one the installers • step 6 → a separate safety agent attacked every line that deletes something. it caught a Windows short-name trick (DOCUME~1) that could’ve sent my whole Documents folder to the Recycle Bin. and an icon loader that could leak my Windows password hash to a remote machine • step 7 → the disk map is a physics toy: drag a folder bubble, throw it, watch it bump the others • step 8 → built-in AI: plug in Claude or ChatGPT and ask “what can i safely delete?” it only sees file names and sizes, never contents • step 9 → GitHub Actions builds the .dmg and the .exe on every release. the Mac build runs on Apple hardware in the cloud, not on my PC • step 10 → first real test: the startup-apps toggle said “Windows did not allow the change” Opus found PowerShell was losing the exit code after the admin prompt, made the app check the registry instead. next build: works one afternoon. zero lines written by me. 14.6 GB freed on the first click. that’s it... Find full prompt below ↓ Then, read how to rebuild any app from scratch with Opus 5.5 in the article below.

Movez

171,257 Aufrufe • vor 10 Tagen