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The underrated Codex pattern: stop asking one thread to hold the whole universe. OpenAI's jason talks about thread managers, threads that talk to other threads, Slack context, hourly loops, and feedback IDs. The win is not just parallelism. It is better-scoped context. Join us in the Token Billionaires Lounge,... show more

Sarah Chieng

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21,171 views • 10 days ago •via X (Twitter)

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🧵 Slack sync Sync Slack threads to Linear issues so that the conversation in Slack is mirrored in a comment thread in Linear. Replies, screenshots, and files immediately sync and Linear posts updates to the thread when the issue is completed, canceled, or re-opened.

🧵 Slack sync Sync Slack threads to Linear issues so that the conversation in Slack is mirrored in a comment thread in Linear. Replies, screenshots, and files immediately sync and Linear posts updates to the thread when the issue is completed, canceled, or re-opened.

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I just built an AI ghostwriter that writes threads just like you (and doesn't sound like it was written by AI) just give it a headline + context and watch it: – learn your writing style, tone, vocabulary, and thread structure – write the entire thread just how you would write it – generate 5 viral hook variations to choose from reply "thread" and I'll DM you the walkthrough (must be following)

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Level up your engineering team's collaboration with OpenAI's new Codex Slack integration. 🚀 Just tag Codex to answer questions, fix bugs, and explore new ideas, right from a team channel or thread. 💻 ✨ Learn more about the OpenAI Codex app in the Slack Marketplace.

Level up your engineering team's collaboration with OpenAI's new Codex Slack integration. 🚀 Just tag Codex to answer questions, fix bugs, and explore new ideas, right from a team channel or thread. 💻 ✨ Learn more about the OpenAI Codex app in the Slack Marketplace.

Slack

41,973 views • 8 months ago

This n8n workflow turns ANY viral YouTube video into a banger X thread automatically. The AI agent is trained on threads that have gotten 16M+ views. All you need to do is drop a keyword, and you get viral-ready threads. Follow + comment "THREAD" and I'll dm the full workflow.

This n8n workflow turns ANY viral YouTube video into a banger X thread automatically. The AI agent is trained on threads that have gotten 16M+ views. All you need to do is drop a keyword, and you get viral-ready threads. Follow + comment "THREAD" and I'll dm the full workflow.

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Your engineering team is about to snap. And your AI coding agent is making it worse. Introducing CodeRabbit Agent for Slack 🎉 A second brain for engineering teams. Because your tribal knowledge lives in Slack threads nobody can find. At CodeRabbit, we review millions of PRs every week and know how ace engineering teams operate on the planet. The same three things slow every team we see: - Context and decisions that live elsewhere. - Lack of a team-level durable knowledge base - And a trust layer that gives a safety net to your teams Built for Agentic SDLC workflows, CodeRabbit Agent for Slack solves all three problems in one shot while enabling teams to collaborate in real-time with the Agent. CodeRabbit Agent is Slack-native and builds your team’s operating context from every thread, every decision, every conversation your team has ever had. Make your team’s context compound!

Your engineering team is about to snap. And your AI coding agent is making it worse. Introducing CodeRabbit Agent for Slack 🎉 A second brain for engineering teams. Because your tribal knowledge lives in Slack threads nobody can find. At CodeRabbit, we review millions of PRs every week and know how ace engineering teams operate on the planet. The same three things slow every team we see: - Context and decisions that live elsewhere. - Lack of a team-level durable knowledge base - And a trust layer that gives a safety net to your teams Built for Agentic SDLC workflows, CodeRabbit Agent for Slack solves all three problems in one shot while enabling teams to collaborate in real-time with the Agent. CodeRabbit Agent is Slack-native and builds your team’s operating context from every thread, every decision, every conversation your team has ever had. Make your team’s context compound!

Harjot Gill

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OpenAI staff engineer Ryan Lopopolo banned his team from touching their editors. his thesis: code is free. context, guardrails, and feedback loops are the moat. I wrote 8,000 words on how to build that harness. this is the playbook.

OpenAI staff engineer Ryan Lopopolo banned his team from touching their editors. his thesis: code is free. context, guardrails, and feedback loops are the moat. I wrote 8,000 words on how to build that harness. this is the playbook.

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Now available in the Slack Marketplace — GitHub Copilot 🎉 💡 Get effortless insights: Instantly surface Copilot suggestions and code insights right inside Slack threads 🤝 Collaborate in real time: Devs, reviewers, and stakeholders can easily stay in sync without switching apps 🎁 Keep context intact: Code reviews, pull requests, and AI-powered feedback stay tied directly to your Slack workspace Grab the GitHub app on Slack Marketplace today:

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Slack

38,238 views • 9 months ago

TBPN asked me how Zapier keeps AI from drowning in data. Short answer: we built it a brain. Three layers: 1. Company-level source of truth (strategy, values, ICP). Curated by me and a handful of senior leaders 2. Team-level context that cascades down 3. Individual context, private to each person. Meeting transcripts, Slack threads, project docs, etc. So when anyone at Zapier talks to AI, they're not starting from scratch. They point the SDK at specific documents against the backdrop of that brain. Better inputs, better AI. Thanks to TBPN for having me on

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Biggest lesson from OpenClaw is that a good teammate doesn't start from scratch everytime you check in. They remember what was decided, what's still open, and proactively help you. Today we launched heartbeats in Codex: automations that maintain context inside a single thread over time. Instead of each run starting fresh, Codex wakes up in the same conversation, with the history and context it needs already in place. You can also have it schedule its own next steps – just ask Codex. Think about the overhead that quietly accumulates every morning: scanning Slack channels, catching up on email, piecing together what moved overnight. With a heartbeat, you offload that once, and wake up to a brief already waiting in a pinned thread. If you want to try turning Codex into a chief of staff: connect Slack, Gmail, and Notion, and paste the following prompt into codex: Please check Matt Slack Gmail Notion and write me a morning brief every weekday at 9am in this thread. I want you to collapse all the chaos at work into a single note every morning over some coffee ☕️

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"I used a billion tokens this week. I'm not even in the top 100 Codex users at OpenAI." We sat down with jason (creator of Instructor, now on OpenAI's Developer Experience team) to talk about how zero-latency inference is changing the way engineers work.

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The Bible in its context is not a Christian book. The Bible in its nature is a catholic book which was edited and given to us in the context of what it is. - Joshua Maponga

The Bible in its context is not a Christian book. The Bible in its nature is a catholic book which was edited and given to us in the context of what it is. - Joshua Maponga

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most agent memory is one file that grows forever and gets re-read every single turn. it overflows the context, overwrites old facts, loses the thread. that's why your agent feels sharp on day one and lost by week three. Sibyl Memory replaces the pile with a structure: → leaner context, lower token cost. a bloated agent file and flat memory get re-read in full every message. Sibyl Memory keeps a light hot layer and retrieves the rest on demand, so each turn carries only the tokens that matter. → relations are first-class. people link to projects, projects to deals, deals to the decisions behind them. ask about one partner and the agent surfaces the whole connected web around them. that relational context is what lets it help run a company. → one source of truth per fact, person, and project. no duplicates, no silent overwrites. works with hermes, claude code, and codex. beta open.

most agent memory is one file that grows forever and gets re-read every single turn. it overflows the context, overwrites old facts, loses the thread. that's why your agent feels sharp on day one and lost by week three. Sibyl Memory replaces the pile with a structure: → leaner context, lower token cost. a bloated agent file and flat memory get re-read in full every message. Sibyl Memory keeps a light hot layer and retrieves the rest on demand, so each turn carries only the tokens that matter. → relations are first-class. people link to projects, projects to deals, deals to the decisions behind them. ask about one partner and the agent surfaces the whole connected web around them. that relational context is what lets it help run a company. → one source of truth per fact, person, and project. no duplicates, no silent overwrites. works with hermes, claude code, and codex. beta open.

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token efficiency isn’t just about speed, it’s also about accuracy. less noise in context == fewer hallucinations == better results. at we’ve been using call graphs + static analysis to give LLMs the best possible code context. big win not just for codegen, but for generating docs that stay true to the code itself.

token efficiency isn’t just about speed, it’s also about accuracy. less noise in context == fewer hallucinations == better results. at we’ve been using call graphs + static analysis to give LLMs the best possible code context. big win not just for codegen, but for generating docs that stay true to the code itself.

ayman nadeem

15,896 views • 10 months ago

Prime Intellect engineer: "everyone's bragging about a million-token context. here's what they don't tell you. at 256k tokens GPT-5.5 scores 80% on retrieval. push it to a million and it drops to 36%. the model accepts the context, it just can't reason across it. people call it context rot." in a 20-minute talk he explains why bigger context windows won't save your agents. continual learning + training on your own traces + real environments - that's the fix. Watch the talk, then save!

Prime Intellect engineer: "everyone's bragging about a million-token context. here's what they don't tell you. at 256k tokens GPT-5.5 scores 80% on retrieval. push it to a million and it drops to 36%. the model accepts the context, it just can't reason across it. people call it context rot." in a 20-minute talk he explains why bigger context windows won't save your agents. continual learning + training on your own traces + real environments - that's the fix. Watch the talk, then save!

Carnage

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If you miss the context… The true greater context… That they are controlling us with a psychological weapon, then you begin to realize it’s not just about elections. It’s world domination and I’m not joking. Our election is just a drop in the bucket. But DOGE was basically the opportunity to steal a lot of data from us.

If you miss the context… The true greater context… That they are controlling us with a psychological weapon, then you begin to realize it’s not just about elections. It’s world domination and I’m not joking. Our election is just a drop in the bucket. But DOGE was basically the opportunity to steal a lot of data from us.

MAGA Cult Slayer🦅🇺🇸

11,612 views • 2 months ago

“Sometimes there is no hand to take ours, or to hold it, the heart beats on, apparently alone. But hope is never lost to us completely, it can hang by the finest and most delicate of threads. Surviving somehow, just as we do…” #CallTheMidwife continues next Sunday on BBC One

“Sometimes there is no hand to take ours, or to hold it, the heart beats on, apparently alone. But hope is never lost to us completely, it can hang by the finest and most delicate of threads. Surviving somehow, just as we do…” #CallTheMidwife continues next Sunday on BBC One

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24,080 views • 1 year ago

I went on Pod Save America to talk about our one fight: is this the billionaires' world and we're just living in it, or is Texas a state that is by and for the people? I know which side I'm on.

I went on Pod Save America to talk about our one fight: is this the billionaires' world and we're just living in it, or is Texas a state that is by and for the people? I know which side I'm on.

Gina Hinojosa

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Billionaires and the Israeli lobby just bought another US election and defeated Thomas Massie, the one Republican in Congress who took on the Epstein Class and Israel. Billionaires buying elections is not democracy. It is oligarchy. Rise up, America. A better world is possible.

Billionaires and the Israeli lobby just bought another US election and defeated Thomas Massie, the one Republican in Congress who took on the Epstein Class and Israel. Billionaires buying elections is not democracy. It is oligarchy. Rise up, America. A better world is possible.

Power to the People ☭🕊

199,401 views • 2 months ago

I gave a talk about why I'm skeptical of the argument for doom from alien AI motivations in "If Anyone Builds It, Everyone Dies." Video below and on YouTube, link to transcript and slides in thread. The talk is based on my recent essay on the topic, also linked in thread.

I gave a talk about why I'm skeptical of the argument for doom from alien AI motivations in "If Anyone Builds It, Everyone Dies." Video below and on YouTube, link to transcript and slides in thread. The talk is based on my recent essay on the topic, also linked in thread.

Joe Carlsmith

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