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Progress through Codex → unlock characters → take them into SOMO Battleground Gauntlet. Every pack that you rip is a step in building the strongest squad. Flash drops, sudden-death pulls, reward loops. Codex has it all. See you on the battlefield.

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SOMO

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26,841 просмотров • 10 месяцев назад •via X (Twitter)

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⚔️ How to win in the Battleground Gauntlet: > A Gauntlet is always live - drop in anytime. > Build your squad, take on dungeon runs. > Every win pushes you up the leaderboard. > Strategy matters. Know your SOMOs. > Earn rewards, unlocks, and lasting progression. It's almost showtime.
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⚔️ How to win in the Battleground Gauntlet: > A Gauntlet is always live - drop in anytime. > Build your squad, take on dungeon runs. > Every win pushes you up the leaderboard. > Strategy matters. Know your SOMOs. > Earn rewards, unlocks, and lasting progression. It's almost showtime.

SOMO

20,991 просмотров • 11 месяцев назад

Introducing cmux Vault: cmux now has a right sidebar with a vault pane where you can see every single Codex, Claude Code, OpenCode, and Pi session You can search through all sessions with full-text search, and drag them directly into your workspace Out in v0.64+
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Introducing cmux Vault: cmux now has a right sidebar with a vault pane where you can see every single Codex, Claude Code, OpenCode, and Pi session You can search through all sessions with full-text search, and drag them directly into your workspace Out in v0.64+

Lawrence Chen

32,212 просмотров • 2 месяцев назад

I’m joining OpenAI Codex to work on the future of agentic development! At Cursor, I got to see the shift from autocomplete to agents. The next step isn’t a better IDE. It’s an Agent Development Environment (ADE): systems and tools for orchestrating agents, reasoning over their outputs, and making them autonomous enough to reliably complete ambitious work. After chatting with Alexander Embiricos and Tibo, it was clear that Codex is the best place to realize this vision. The team has consistently shipped SOTA models for agentic coding (check out gpt-5.3-codex) and I’m pumped for the future that the new Codex App points to. What I’m most excited about is the broader mission: accelerating the knowledge work economy. All agents are coding agents, and we’re already seeing Codex used across every job function within organizations. I’m extremely grateful for my time at Cursor, working with the incredible team, and I’m proud of what we built together. I’m excited to take an even bigger swing with Codex. If you’re curious to get a glimpse of where we are headed, download the Codex App! If you want to work on this mission, please apply or reach out - we are hiring across all functions! You can just build things.
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I’m joining OpenAI Codex to work on the future of agentic development! At Cursor, I got to see the shift from autocomplete to agents. The next step isn’t a better IDE. It’s an Agent Development Environment (ADE): systems and tools for orchestrating agents, reasoning over their outputs, and making them autonomous enough to reliably complete ambitious work. After chatting with Alexander Embiricos and Tibo, it was clear that Codex is the best place to realize this vision. The team has consistently shipped SOTA models for agentic coding (check out gpt-5.3-codex) and I’m pumped for the future that the new Codex App points to. What I’m most excited about is the broader mission: accelerating the knowledge work economy. All agents are coding agents, and we’re already seeing Codex used across every job function within organizations. I’m extremely grateful for my time at Cursor, working with the incredible team, and I’m proud of what we built together. I’m excited to take an even bigger swing with Codex. If you’re curious to get a glimpse of where we are headed, download the Codex App! If you want to work on this mission, please apply or reach out - we are hiring across all functions! You can just build things.

Rohan Varma

759,511 просмотров • 5 месяцев назад

🚨 do you understand what OpenAI just announced.. ChatGPT Pro is now $100/month. 10x more Codex usage. and Codex isn't autocomplete - it writes, debugs, builds entire apps. autonomously. if you've used Claude Opus for coding you know the feeling. Codex hits the same way. except Claude Opus limits burn through in hours. you blink and you're out. Codex just got a $100 tier built to run 24/7. no cooldowns. no "you've reached your limit" at 2am mid-build. they're not selling you a chatbot. they're selling you a software engineer that never sleeps and never asks for equity. and they're doing it quietly while everyone argues about tariffs.
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🚨 do you understand what OpenAI just announced.. ChatGPT Pro is now $100/month. 10x more Codex usage. and Codex isn't autocomplete - it writes, debugs, builds entire apps. autonomously. if you've used Claude Opus for coding you know the feeling. Codex hits the same way. except Claude Opus limits burn through in hours. you blink and you're out. Codex just got a $100 tier built to run 24/7. no cooldowns. no "you've reached your limit" at 2am mid-build. they're not selling you a chatbot. they're selling you a software engineer that never sleeps and never asks for equity. and they're doing it quietly while everyone argues about tariffs.

BuBBliK

439,422 просмотров • 4 месяцев назад

We're building After Effects for the web. Vector animation that goes from design to production, built on Lottie, the industry-standard for product animation. Describe what you want and Motion Copilot animates it, or generate Lottie straight from Codex/Claude with our MCP. All in the browser. This is Lottie Creator 2.0. The biggest update we've ever shipped.
0:10

We're building After Effects for the web. Vector animation that goes from design to production, built on Lottie, the industry-standard for product animation. Describe what you want and Motion Copilot animates it, or generate Lottie straight from Codex/Claude with our MCP. All in the browser. This is Lottie Creator 2.0. The biggest update we've ever shipped.

Nattu

19,793 просмотров • 17 дней назад

I send codex on doom scroll quests to instagram on my behalf everyday. I love discovering hidden gems from influencers, but I hate this new trend where every reel is: "comment LINK and I'll dm you my list." So I built a Codex skill to watch bookmarked reels for me, and turn them into field notes for: 👗 clothes I should buy 📚 books I should read 🍜 places I should visit It identifies the brands, products, restaurants, and locations mentioned in the reel, finds the original product pages, pulls the actual product photos from the source website, and organizes everything into structured notes with links and any useful creator comments. Instead of doomscrolling for 45 mins and forgetting everything, I have delegated brain rot to codex!
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I send codex on doom scroll quests to instagram on my behalf everyday. I love discovering hidden gems from influencers, but I hate this new trend where every reel is: "comment LINK and I'll dm you my list." So I built a Codex skill to watch bookmarked reels for me, and turn them into field notes for: 👗 clothes I should buy 📚 books I should read 🍜 places I should visit It identifies the brands, products, restaurants, and locations mentioned in the reel, finds the original product pages, pulls the actual product photos from the source website, and organizes everything into structured notes with links and any useful creator comments. Instead of doomscrolling for 45 mins and forgetting everything, I have delegated brain rot to codex!

Priyaa

32,823 просмотров • 2 месяцев назад

Alrighty, everything is ready 😎 here’s an unofficial “2x Codex limits” promo from my side for you all. meet DevSpace — an MCP connector app that turns ChatGPT into Codex. npm install -g @waishnav/devspace After installing, tunnel the MCP server over the internet and enjoy 2x limits. You can use GPT-5.5 Pro, xHigh, or High for planning, then hand off the task to your local Codex/pi/opencode/cursor/claude code instance. Or you can just use it for reviewing code written by other local coding agents Go ahead, experiment with different workflows, and keep the feedback coming on GitHub Issues or in my DMs And let’s thank OpenAI for being so generous by giving us separate ChatGPT and Codex limits and by being so chill around this MCP :) Please use it sparingly, only when you run out of limits. Don’t overuse it — in the end, they do have a button to stop it 🙂
0:18

Alrighty, everything is ready 😎 here’s an unofficial “2x Codex limits” promo from my side for you all. meet DevSpace — an MCP connector app that turns ChatGPT into Codex. npm install -g @waishnav/devspace After installing, tunnel the MCP server over the internet and enjoy 2x limits. You can use GPT-5.5 Pro, xHigh, or High for planning, then hand off the task to your local Codex/pi/opencode/cursor/claude code instance. Or you can just use it for reviewing code written by other local coding agents Go ahead, experiment with different workflows, and keep the feedback coming on GitHub Issues or in my DMs And let’s thank OpenAI for being so generous by giving us separate ChatGPT and Codex limits and by being so chill around this MCP :) Please use it sparingly, only when you run out of limits. Don’t overuse it — in the end, they do have a button to stop it 🙂

waishnav

531,202 просмотров • 1 месяц назад

You can practically feel the sketchy dust on crust under his edges 🔊 That crunch sound is the epitome of high-consequence skiing. Ian McIntosh drops in on a spine line where every turn is a tightrope walk between a clean rip and disaster. #tgrfromthevault #tgralmostablaze
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You can practically feel the sketchy dust on crust under his edges 🔊 That crunch sound is the epitome of high-consequence skiing. Ian McIntosh drops in on a spine line where every turn is a tightrope walk between a clean rip and disaster. #tgrfromthevault #tgralmostablaze

Teton Gravity Research

52,917 просмотров • 9 месяцев назад

Here he is in transition this time, being a great detective in assessing play around him Picks up on the ball, the deflection, & the save, all leads to a transition 3 for them the other way — you reward the behaviors you desire to see more of
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Here he is in transition this time, being a great detective in assessing play around him Picks up on the ball, the deflection, & the save, all leads to a transition 3 for them the other way — you reward the behaviors you desire to see more of

Stephen PridGeon-Garner 🏁

13,989 просмотров • 9 месяцев назад

If you were sharing this video from the US Capitol building on January 6 and claiming that police “escorted tourists into the building,” then you are either being dishonest, or you didn’t see what was actually happening outside the building. 1) It is almost certain that these police officers are trying to get these people out of the building not into the building. When there’s thousands of people trying to get into one location and they’ve already busted into the building, you have to escort these people through the building to get them out. 2) There were 2500 people illegally in the Capitol. There was a small fraction the number of police. What did you expect these officers to do? Try to arrest them all or try to control the situation and make sure things didn’t get out of control? Picking and choosing 30 second clips out of 44000 hours of video, including video of people busting windows, breaking glass, unlocking doors, and attacking police is disingenuous and ignorant.
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If you were sharing this video from the US Capitol building on January 6 and claiming that police “escorted tourists into the building,” then you are either being dishonest, or you didn’t see what was actually happening outside the building. 1) It is almost certain that these police officers are trying to get these people out of the building not into the building. When there’s thousands of people trying to get into one location and they’ve already busted into the building, you have to escort these people through the building to get them out. 2) There were 2500 people illegally in the Capitol. There was a small fraction the number of police. What did you expect these officers to do? Try to arrest them all or try to control the situation and make sure things didn’t get out of control? Picking and choosing 30 second clips out of 44000 hours of video, including video of people busting windows, breaking glass, unlocking doors, and attacking police is disingenuous and ignorant.

Brian Krassenstein

2,783,511 просмотров • 2 лет назад

They don’t want you know the secrets to getting faster… It’s dedicating serious time to Acceleration, Max Velocity, and COD work. It’s mixing in plyos that match what you’re working on that day. It’s competing every available chance you can. And it’s building a base of conditioning on top of that that doesn’t take away from the speed you’re building. Put it all together and you have the recipe for your fastest summer ever
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They don’t want you know the secrets to getting faster… It’s dedicating serious time to Acceleration, Max Velocity, and COD work. It’s mixing in plyos that match what you’re working on that day. It’s competing every available chance you can. And it’s building a base of conditioning on top of that that doesn’t take away from the speed you’re building. Put it all together and you have the recipe for your fastest summer ever

Scott Leech

60,798 просмотров • 1 год назад

Codex CLI Update: Let there be Search Whatup nerds, back so soon looking or yet ANOTHER update?! I got you. Update 0.121.0 is here! > You can now search through previous user prompts with CTRL+R. Just trigger search and enter your search string, you can easily arrow through all matches. See video below! > 🥔 Support for Spud! Is not here yet. Sorry. Maybe tomorrow. 🫢 > v0.121.0 adds custom marketplace installs in Codex: you can run codex marketplace add to register marketplaces from GitHub shorthand, git URLs, or local directories. Codex validates the marketplace layout and stores it in your user config so it shows up consistently in plugin discovery. > Improved memory features, including a new /memories TUI menu with use/generate toggles, a reset-all-memories action, app-server support for setting thread memory mode and clearing memories, and cleanup of stale memory-extension resources. Note: Not working on Linux for me. /memories command unavailable. > Codex MCP got further upgrades with direct app tool calls, cleaner namespacing, and safe optional parallel execution for faster workflows > Codex realtime got better controls (text/audio + clear “done” signals), easier history syncing, and safer file handling. > Hardened devcontainer setup plus smarter macOS socket allowlists for safer local runtime access. > Dozens of other bug fixes, see repo below. Toodles! ✌️
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Codex CLI Update: Let there be Search Whatup nerds, back so soon looking or yet ANOTHER update?! I got you. Update 0.121.0 is here! > You can now search through previous user prompts with CTRL+R. Just trigger search and enter your search string, you can easily arrow through all matches. See video below! > 🥔 Support for Spud! Is not here yet. Sorry. Maybe tomorrow. 🫢 > v0.121.0 adds custom marketplace installs in Codex: you can run codex marketplace add to register marketplaces from GitHub shorthand, git URLs, or local directories. Codex validates the marketplace layout and stores it in your user config so it shows up consistently in plugin discovery. > Improved memory features, including a new /memories TUI menu with use/generate toggles, a reset-all-memories action, app-server support for setting thread memory mode and clearing memories, and cleanup of stale memory-extension resources. Note: Not working on Linux for me. /memories command unavailable. > Codex MCP got further upgrades with direct app tool calls, cleaner namespacing, and safe optional parallel execution for faster workflows > Codex realtime got better controls (text/audio + clear “done” signals), easier history syncing, and safer file handling. > Hardened devcontainer setup plus smarter macOS socket allowlists for safer local runtime access. > Dozens of other bug fixes, see repo below. Toodles! ✌️

am.will

22,020 просмотров • 3 месяцев назад

SOMEONE BUILT A VIRTUAL CAMERA THAT LOOPS A CLIP OF YOU LOOKING PRESENT SO YOU CAN LEAVE MID MEETING it records a few seconds of you looking engaged, then loops it through a fake webcam you pick once in zoom, google meet, slack or teams. one hotkey swaps your live feed for the loop, another brings you back. your audio stays on the whole time so you can step away for a minute without becoming the frozen black tile everyone notices > shows up as a real camera in every app, no screen share hacks > the loop doesnt read as a loop, it injects tiny stutters and catch up hitches so it looks like a slightly flaky connection > swap in and out instantly with a hotkey > universal, notarized, about 5mb, works on macos the fake bad connection detail is absolutely the evil genius part a frozen frame gets caught immediately but a feed that stutters like bad wifi is something nobody questions
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SOMEONE BUILT A VIRTUAL CAMERA THAT LOOPS A CLIP OF YOU LOOKING PRESENT SO YOU CAN LEAVE MID MEETING it records a few seconds of you looking engaged, then loops it through a fake webcam you pick once in zoom, google meet, slack or teams. one hotkey swaps your live feed for the loop, another brings you back. your audio stays on the whole time so you can step away for a minute without becoming the frozen black tile everyone notices > shows up as a real camera in every app, no screen share hacks > the loop doesnt read as a loop, it injects tiny stutters and catch up hitches so it looks like a slightly flaky connection > swap in and out instantly with a hotkey > universal, notarized, about 5mb, works on macos the fake bad connection detail is absolutely the evil genius part a frozen frame gets caught immediately but a feed that stutters like bad wifi is something nobody questions

Om Patel

123,301 просмотров • 1 месяц назад

How do you feel That an 18 year old girl naturally has more testosterone in her bloodstream than you? You're such a pathetic excuse for a man. You doomscroll on your phone looking at my God tier physique You wish that you could lick my 10 pack abs in real life But the most you can do is is goon to them through the screen. You truly are pathetic, now submit to me - YOUR GOD
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How do you feel That an 18 year old girl naturally has more testosterone in her bloodstream than you? You're such a pathetic excuse for a man. You doomscroll on your phone looking at my God tier physique You wish that you could lick my 10 pack abs in real life But the most you can do is is goon to them through the screen. You truly are pathetic, now submit to me - YOUR GOD

Muscle Mommy Findom

44,026 просмотров • 2 месяцев назад

I went a little overboard with Codex last week and burned through my entire weekly allowance in two days. Luckily, my quota reset today. Otherwise, I’m not sure what I would’ve done. It got me thinking: instead of asking one large model to handle everything from start to finish, why not let a stronger model plan the project and review the work, while a model built for execution handles the day-to-day implementation? So I tried it. The result was better than I expected. I used GPT-5.6 Sol in Codex as the decision-maker, then ran Ling-3.0-flash from Ant Ling inside OpenCode as the execution engine. Together, they built a small 3D farming game. Before writing any code, I had Codex create four documents: SPEC.md defined the product scope and the lines we couldn’t cross. ARCHITECTURE.md laid out the isometric coordinate system, state machine, and module boundaries. TASKS.md broke the project into small jobs Ling could tackle one at a time. ACCEPTANCE.md explained how each step would be tested and what “done” actually meant. Then I gave Ling a very straightforward role: You are the execution model for this project. Read all four documents before you begin. Work only on the task assigned for this round. When you’re done, run typecheck, test, and build. If anything fails, read the error, fix it, and run the checks again. Do not move on to the next task early. Ling handled dependency installation, project structure, strict TypeScript configuration, test setup, and a production build in 6 minutes and 3 seconds. It ran into issues with the Vite test config, a TS6310 error, and a missing jsdom dependency along the way. Instead of stopping at the first error, it kept reading the logs and fixing the problems until all three checks passed. The speed was honestly hard to believe. If you exclude the time spent waiting on tools, it was producing more than 100 tokens per second. That made the whole development loop feel noticeably faster. After this experiment, I’m planning to keep using the same workflow. If the task is small, there’s no reason to call an expensive planning model for every single step. If the task is large, handing the entire project to a Flash model in one prompt isn’t a great idea either. The setup that makes more sense to me is: Use a more capable model such as Codex to explore the project, make architectural decisions, and break the work down. Put the constraints into specs, schemas, types, and tests instead of leaving them buried in chat history. Give Ling-3.0-flash a steady stream of clear, verifiable implementation tasks. Report bugs with structured context and actual error logs, rather than saying, “It still doesn’t work.” Bring Codex back in for architecture reviews, visual checks, and changes that affect multiple parts of the project. The point of this setup isn’t to give AI a big “build the whole project” button. It’s to turn software development into a pipeline with a much more sensible cost structure: Codex figures out the plan, sets the boundaries, and catches problems. Ling-3.0-flash moves quickly, calls tools reliably, and works through well-defined tasks at scale. For agent workflows that involve lots of repetitive edits, production tasks, and tool calls, this may be a more practical answer than simply using the biggest model for everything.
0:16

I went a little overboard with Codex last week and burned through my entire weekly allowance in two days. Luckily, my quota reset today. Otherwise, I’m not sure what I would’ve done. It got me thinking: instead of asking one large model to handle everything from start to finish, why not let a stronger model plan the project and review the work, while a model built for execution handles the day-to-day implementation? So I tried it. The result was better than I expected. I used GPT-5.6 Sol in Codex as the decision-maker, then ran Ling-3.0-flash from Ant Ling inside OpenCode as the execution engine. Together, they built a small 3D farming game. Before writing any code, I had Codex create four documents: SPEC.md defined the product scope and the lines we couldn’t cross. ARCHITECTURE.md laid out the isometric coordinate system, state machine, and module boundaries. TASKS.md broke the project into small jobs Ling could tackle one at a time. ACCEPTANCE.md explained how each step would be tested and what “done” actually meant. Then I gave Ling a very straightforward role: You are the execution model for this project. Read all four documents before you begin. Work only on the task assigned for this round. When you’re done, run typecheck, test, and build. If anything fails, read the error, fix it, and run the checks again. Do not move on to the next task early. Ling handled dependency installation, project structure, strict TypeScript configuration, test setup, and a production build in 6 minutes and 3 seconds. It ran into issues with the Vite test config, a TS6310 error, and a missing jsdom dependency along the way. Instead of stopping at the first error, it kept reading the logs and fixing the problems until all three checks passed. The speed was honestly hard to believe. If you exclude the time spent waiting on tools, it was producing more than 100 tokens per second. That made the whole development loop feel noticeably faster. After this experiment, I’m planning to keep using the same workflow. If the task is small, there’s no reason to call an expensive planning model for every single step. If the task is large, handing the entire project to a Flash model in one prompt isn’t a great idea either. The setup that makes more sense to me is: Use a more capable model such as Codex to explore the project, make architectural decisions, and break the work down. Put the constraints into specs, schemas, types, and tests instead of leaving them buried in chat history. Give Ling-3.0-flash a steady stream of clear, verifiable implementation tasks. Report bugs with structured context and actual error logs, rather than saying, “It still doesn’t work.” Bring Codex back in for architecture reviews, visual checks, and changes that affect multiple parts of the project. The point of this setup isn’t to give AI a big “build the whole project” button. It’s to turn software development into a pipeline with a much more sensible cost structure: Codex figures out the plan, sets the boundaries, and catches problems. Ling-3.0-flash moves quickly, calls tools reliably, and works through well-defined tasks at scale. For agent workflows that involve lots of repetitive edits, production tasks, and tool calls, this may be a more practical answer than simply using the biggest model for everything.

雪踏乌云

23,107 просмотров • 14 дней назад

Hot take: most “AI creator” tools are just fancy prompt boxes. This one actually behaves like an agent. I gave it a messy idea and instead of breaking, it: - built visuals (images) - turned them into video - kept iterating without me stepping in every 2 seconds (you can see it in the screen recording 👇) Halfway through using Yapper , it clicked — this thing doesn’t just generate… it works through ideas. That’s the difference: it thinks in workflows, not single outputs. You spend less time prompting…and more time actually creating. Not perfect yet — but it’s one of the first tools that feels like it scales with you. If you’re deep into AI, you’ll see the shift instantly.
0:16

Hot take: most “AI creator” tools are just fancy prompt boxes. This one actually behaves like an agent. I gave it a messy idea and instead of breaking, it: - built visuals (images) - turned them into video - kept iterating without me stepping in every 2 seconds (you can see it in the screen recording 👇) Halfway through using Yapper , it clicked — this thing doesn’t just generate… it works through ideas. That’s the difference: it thinks in workflows, not single outputs. You spend less time prompting…and more time actually creating. Not perfect yet — but it’s one of the first tools that feels like it scales with you. If you’re deep into AI, you’ll see the shift instantly.

The AI Guru 💡

50,197 просмотров • 3 месяцев назад

We see the pattern . You come for Our Yoruba Celebrities. We see through you . Have you called our others ? We will never let this happen . We will cover her . Excuse me aunty toyin . Just one influencer scape Goat . TOYIN ABRAHAM AJEYEMI take him to court and watch them crawl into their holes . This is cyber bullying and it is wrong on all levels
0:12

We see the pattern . You come for Our Yoruba Celebrities. We see through you . Have you called our others ? We will never let this happen . We will cover her . Excuse me aunty toyin . Just one influencer scape Goat . TOYIN ABRAHAM AJEYEMI take him to court and watch them crawl into their holes . This is cyber bullying and it is wrong on all levels

Oyinkansola

1,431,612 просмотров • 2 лет назад

The Matrix launch video lands on one line; in Matrix, anyone can become a CEO. That’s the real claim. Not one assistant doing one task. A company that keeps running after the first prompt, routing intent through a CEO Office, into OKRs, down to departments that do the work and send back proof to review. Connect Codex, point your leftover credits at it, and the first agent company is live.
0:17

The Matrix launch video lands on one line; in Matrix, anyone can become a CEO. That’s the real claim. Not one assistant doing one task. A company that keeps running after the first prompt, routing intent through a CEO Office, into OKRs, down to departments that do the work and send back proof to review. Connect Codex, point your leftover credits at it, and the first agent company is live.

Iseunife The First

19,414 просмотров • 1 месяц назад