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      "text": "@polynoamial @OpenAI i cant believe i used it to itemize a navan receipt... im sorry...",
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      "title": "the spike in july: new fuzzer\n\noverrides syscalls and diffs bun’s behavior against node on identical inputs. a /loop in claude code drives it and sends bugs to robobun to fix http…",
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      "text": "the spike in july: new fuzzer\n\noverrides syscalls and diffs bun’s behavior against node on identical inputs. a /loop in claude code drives it and sends bugs to robobun to fix https://t.co/DJl8b5HiDR",
      "description": "the spike in july: new fuzzer\n\noverrides syscalls and diffs bun’s behavior against node on identical inputs. a /loop in claude code drives it and sends bugs to robobun to fix https://t.co/DJl8b5HiDR",
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      "title": "An internal version of Astra, @OpenAI’s next major model family, solved 10 major open problems in mathematics, quantum complexity, and theoretical computer science.\n\nWe believe it…",
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      "text": "An internal version of Astra, @OpenAI’s next major model family, solved 10 major open problems in mathematics, quantum complexity, and theoretical computer science.\n\nWe believe it will be a major step for scientific reasoning. https://t.co/iP6cyheZ7i https://t.co/jHuulDwV46 https://t.co/DfBOvi5O8F",
      "description": "An internal version of Astra, @OpenAI’s next major model family, solved 10 major open problems in mathematics, quantum complexity, and theoretical computer science.\n\nWe believe it will be a major step for scientific reasoning. https://t.co/iP6cyheZ7i https://t.co/jHuulDwV46 https://t.co/DfBOvi5O8F",
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      "text": "openai team making git better for everyone https://t.co/Vb3BbmuM8b",
      "description": "openai team making git better for everyone https://t.co/Vb3BbmuM8b",
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      "title": "Update #1) Incident Commander requested a 2nd Alarm. 50+ firefighters are currently on scene of veg fire near Sequoia Arena staging area. There have been 3 water drops from helico…",
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      "text": "Update #1) Incident Commander requested a 2nd Alarm. 50+ firefighters are currently on scene of veg fire near Sequoia Arena staging area. There have been 3 water drops from helicopters. Forward progress is stopped, most of fire is knocked down, crews checking for hot spots. https://t.co/padRK1WkEj https://t.co/skabw2VZ0S",
      "description": "Update #1) Incident Commander requested a 2nd Alarm. 50+ firefighters are currently on scene of veg fire near Sequoia Arena staging area. There have been 3 water drops from helicopters. Forward progress is stopped, most of fire is knocked down, crews checking for hot spots. https://t.co/padRK1WkEj https://t.co/skabw2VZ0S",
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    {
      "title": "Hats off to @mattzcarey for sending a PR for updating the mcp to the latest spec 🫡 https://t.co/94rsdv7O2b",
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      "text": "Hats off to @mattzcarey for sending a PR for updating the mcp to the latest spec 🫡 https://t.co/94rsdv7O2b",
      "description": "Hats off to @mattzcarey for sending a PR for updating the mcp to the latest spec 🫡 https://t.co/94rsdv7O2b",
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      "title": "i have no clue know why they didn't go with my announcement graphic... https://t.co/FfLTemDkRc https://t.co/eEDGPgrs4y",
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      "text": "i have no clue know why they didn't go with my announcement graphic... https://t.co/FfLTemDkRc https://t.co/eEDGPgrs4y",
      "description": "i have no clue know why they didn't go with my announcement graphic... https://t.co/FfLTemDkRc https://t.co/eEDGPgrs4y",
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      "createdAt": "2026-07-31T18:28:16.000Z",
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      "title": "when we host a model on workers ai, we have to consider if we're going to be able to serve a model economically + what demand looks like + what capacity we have.\ntesting models on…",
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      "text": "when we host a model on workers ai, we have to consider if we're going to be able to serve a model economically + what demand looks like + what capacity we have.\ntesting models on @OpenRouter allows us to launch these things in market and gather data. if we have to tear a model down, your traffic gets routed to other providers. once we're confident in our deployment, then we bring it on platform for Workers AI users, where we commit to running the model for longer. \nit's been a joy to work with openrouter team to enable us to experiment with models quickly 🧡",
      "description": "when we host a model on workers ai, we have to consider if we're going to be able to serve a model economically + what demand looks like + what capacity we have.\ntesting models on @OpenRouter allows us to launch these things in market and gather data. if we have to tear a model down, your traffic gets routed to other providers. once we're confident in our deployment, then we bring it on platform for Workers AI users, where we commit to running the model for longer. \nit's been a joy to work with openrouter team to enable us to experiment with models quickly 🧡",
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      "createdAt": "2026-07-31T18:20:29.000Z",
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    {
      "title": "Fred just couldn’t wait until next week to launch. https://t.co/20iM7BqOXT",
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      "text": "Fred just couldn’t wait until next week to launch. https://t.co/20iM7BqOXT",
      "description": "Fred just couldn’t wait until next week to launch. https://t.co/20iM7BqOXT",
      "url": "https://x.com/dok2001/status/2083253946412315083",
      "createdAt": "2026-07-31T18:10:20.000Z",
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      "title": "Introducing Flue 2 — Build dynamic agents that evolve over time.\n\nFlue is a TypeScript framework for building the next generation of agents, powered by the @pidotdev agent harness…",
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      "authorProfileImageUrl": "https://pbs.twimg.com/profile_images/1272979356529221632/sxvncugt_normal.jpg",
      "text": "Introducing Flue 2 — Build dynamic agents that evolve over time.\n\nFlue is a TypeScript framework for building the next generation of agents, powered by the @pidotdev agent harness. \n\nThe Flue 1.0 Beta was released last month & has now been downloaded 700,000+ times. And from all of that feedback, we realized something we'd missed.\n\nAgents have a familiar problem: composability.\n\nHow do you compose together different agent capabilities in a way that feels expressive AND maintainable, especially as you scale up complexity?\n\nLast week, I teased: “What if React for Agents?” and yes, as you will see, the inspiration here is obvious. But  UI devs and agent devs have some things in common, including the same problem that the React team solved almost a decade ago with... Hooks!\n\nThere are now things that you can do in Flue 2.0 with hooks that are just fundamentally difficult in other frameworks:\n\nA Flue agent can enforce a multi-step workflow, earn new tools once certain conditions are met, or trade up to a bigger model when the work gets too hard.\n\nHandling metadata and context no longer requires custom framework APIs and configuration. In Flue, you can pass data to a tool the same way you pass arguments to a function.\n\nI'm really excited for you to try Flue 2.0 out yourself. It's a big, bold take on what agents could be capable of in the future. \n\nRead more: https://t.co/kW69RWJ00Q",
      "description": "Introducing Flue 2 — Build dynamic agents that evolve over time.\n\nFlue is a TypeScript framework for building the next generation of agents, powered by the @pidotdev agent harness. \n\nThe Flue 1.0 Beta was released last month & has now been downloaded 700,000+ times. And from all of that feedback, we realized something we'd missed.\n\nAgents have a familiar problem: composability.\n\nHow do you compose together different agent capabilities in a way that feels expressive AND maintainable, especially as you scale up complexity?\n\nLast week, I teased: “What if React for Agents?” and yes, as you will see, the inspiration here is obvious. But  UI devs and agent devs have some things in common, including the same problem that the React team solved almost a decade ago with... Hooks!\n\nThere are now things that you can do in Flue 2.0 with hooks that are just fundamentally difficult in other frameworks:\n\nA Flue agent can enforce a multi-step workflow, earn new tools once certain conditions are met, or trade up to a bigger model when the work gets too hard.\n\nHandling metadata and context no longer requires custom framework APIs and configuration. In Flue, you can pass data to a tool the same way you pass arguments to a function.\n\nI'm really excited for you to try Flue 2.0 out yourself. It's a big, bold take on what agents could be capable of in the future. \n\nRead more: https://t.co/kW69RWJ00Q",
      "url": "https://x.com/FredKSchott/status/2083252640994275779",
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      "title": "@brandur You can create PlanetScale DB's through that same UI",
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      "text": "@brandur You can create PlanetScale DB's through that same UI",
      "description": "@brandur You can create PlanetScale DB's through that same UI",
      "url": "https://x.com/simeonGriggs/status/2083244161428279676",
      "createdAt": "2026-07-31T17:31:27.000Z",
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      "title": "@flueai can't stop until the boss is happy\nhttps://t.co/4bydmu2H6e",
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      "text": "@flueai can't stop until the boss is happy\nhttps://t.co/4bydmu2H6e",
      "description": "@flueai can't stop until the boss is happy\nhttps://t.co/4bydmu2H6e",
      "url": "https://x.com/FredKSchott/status/2083239731622760926",
      "createdAt": "2026-07-31T17:13:51.000Z",
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    {
      "title": "Introducing Flue 2 — Build dynamic agents that evolve over time, powered by our brand new Agent Hooks API.\n\nhttps://t.co/NjhWCTUl8q",
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      "text": "Introducing Flue 2 — Build dynamic agents that evolve over time, powered by our brand new Agent Hooks API.\n\nhttps://t.co/NjhWCTUl8q",
      "description": "Introducing Flue 2 — Build dynamic agents that evolve over time, powered by our brand new Agent Hooks API.\n\nhttps://t.co/NjhWCTUl8q",
      "url": "https://x.com/flueai/status/2083238270687945103",
      "createdAt": "2026-07-31T17:08:03.000Z",
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    {
      "title": ". @KentonVarda was just ahead of his time again.   There is still work to be done to make the technology easily by the rest of us. Capabilities security models are just not the me…",
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      "authorUsername": "dok2001",
      "authorProfileImageUrl": "https://pbs.twimg.com/profile_images/1933364396434001920/nNinLkYf_normal.jpg",
      "text": ". @KentonVarda was just ahead of his time again.   There is still work to be done to make the technology easily by the rest of us. Capabilities security models are just not the mental model most people have for security. https://t.co/fqgmEovir7",
      "description": ". @KentonVarda was just ahead of his time again.   There is still work to be done to make the technology easily by the rest of us. Capabilities security models are just not the mental model most people have for security. https://t.co/fqgmEovir7",
      "url": "https://x.com/dok2001/status/2083193896822055228",
      "createdAt": "2026-07-31T14:11:43.000Z",
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    {
      "title": "openai: well actually we did 100 hacks\nanthropic: we check again we did a million hacks\nopenai: we do infinity hacks\nanthropic: we do infinity times infinity hacks https://t.co/XE…",
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      "text": "openai: well actually we did 100 hacks\nanthropic: we check again we did a million hacks\nopenai: we do infinity hacks\nanthropic: we do infinity times infinity hacks https://t.co/XEf45FTBDO",
      "description": "openai: well actually we did 100 hacks\nanthropic: we check again we did a million hacks\nopenai: we do infinity hacks\nanthropic: we do infinity times infinity hacks https://t.co/XEf45FTBDO",
      "url": "https://x.com/thdxr/status/2083182360816910786",
      "createdAt": "2026-07-31T13:25:53.000Z",
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    {
      "title": "Stacked PR’s are an outdated, inefficient solution to a problem that only exist because the root problem hasn’t been addressed in GitHub: review tools need to do a better job at h…",
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      "authorProfileImageUrl": "https://pbs.twimg.com/profile_images/1640019780097781760/JQkX4G_n_normal.jpg",
      "text": "Stacked PR’s are an outdated, inefficient solution to a problem that only exist because the root problem hasn’t been addressed in GitHub: review tools need to do a better job at help the reviewer work through large code changes. It’s a local maxima. https://t.co/0mfCFh5tT8",
      "description": "Stacked PR’s are an outdated, inefficient solution to a problem that only exist because the root problem hasn’t been addressed in GitHub: review tools need to do a better job at help the reviewer work through large code changes. It’s a local maxima. https://t.co/0mfCFh5tT8",
      "url": "https://x.com/artman/status/2083040643467587603",
      "createdAt": "2026-07-31T04:02:45.000Z",
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    {
      "title": "Twice in nine days. OpenAI's models chained a zero-day to get out of an eval environment. Anthropic just found three incidents of the same shape.\n\nThis is what capable models do.…",
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      "author": "dok2001",
      "authorName": "Dane Knecht 🦭",
      "authorUsername": "dok2001",
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      "text": "Twice in nine days. OpenAI's models chained a zero-day to get out of an eval environment. Anthropic just found three incidents of the same shape.\n\nThis is what capable models do. Every reachable path is an invitation. Credit to both for publishing.\n\nWe rebuilt Cloudflare OS, our internal agent platform, assuming exactly this. Sandboxes have no network path out. Agents don't get every MCP tool up front, each workspace gets only what it needs. And instead of stopping for every approval until someone gives up and enables auto-approve, the platform simulates pending actions so the agent keeps working, then queues the real ones for review at the end.\n\nThe app side goes further. Apps carry no auth code at all, the sandbox provides it, so there is no auth logic to get wrong. Multi-document apps are isolated per document, so a bug can't leak between separately shared items. Anyone viewing an app must have direct permission to each of its data sources, so a dashboard on sensitive data can't overshare. Actions need the user's own permission or an approval from someone who has it, so an app can't escalate its author's privileges. And everything an app does is logged, even when the service it calls doesn't support logging.\n\nMost companies are about to point agents at real systems. Build for what the models actually do.\n\nWe will open source this next week!",
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      "text": "if you're building with 🦜langchain or the 🪄ai sdk, there's now a native @CloudflareDev ai search integration for both. \n\nfeed it your data, it indexes it, and you get grounded context for your agents w/o building the  backend yourself.\n\n👉 https://t.co/SjZUBu8gwa https://t.co/vJprY5GKlM",
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      "text": "So much blood sweat and tears from the API team to get this up and running. But it’s here. \n\ne2e encrypted chat via the X API.\n\nAnd this is only the beginning of what we have planned for chat integrations. https://t.co/wfv59UEKip",
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      "title": "@irvinebroque Oh, damn, looks like I’m writing another effect library tonight",
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      "text": "founder used to mean something",
      "description": "founder used to mean something",
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      "text": "many such cases https://t.co/pq97ssabuh",
      "description": "many such cases https://t.co/pq97ssabuh",
      "url": "https://x.com/jjacky/status/2082514913314947166",
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      "text": "Out of the box, long-horizon agents struggle to accurately perform end to end work in the real economy (outside of coding) because those tasks are not easily verifiable, the data is hard to scale, and going from inputs to real outcomes can actually take many days.\n\nEven if you had a reliable way to verify outcomes at scale (and weren’t bothered by the multi-hour iteration loops), the sheer volume of decisions by the agent that occur in a multi-hour job makes it hard to know whether performing well will generalize to production.\n\nOver the last two years at @trybasis, we've been solving this problem by supervising the process our agents take to get to outcomes, rather than just looking at whether the outcome itself is correct.\n\nWe think this is the key to building production agents at scale. \n\nIt's what has allowed us to run agents in production that operate for hours, sometimes days, and reliably perform tasks like entire complex tax returns end to end.\n\nToday, alongside @braintrust, we're open sourcing a standard for defining, evaluating, and eventually rewarding agent behaviors.\n\nThread below with all the details on how we’re scaling behaviors to close the loop for long-horizon agents.",
      "description": "Out of the box, long-horizon agents struggle to accurately perform end to end work in the real economy (outside of coding) because those tasks are not easily verifiable, the data is hard to scale, and going from inputs to real outcomes can actually take many days.\n\nEven if you had a reliable way to verify outcomes at scale (and weren’t bothered by the multi-hour iteration loops), the sheer volume of decisions by the agent that occur in a multi-hour job makes it hard to know whether performing well will generalize to production.\n\nOver the last two years at @trybasis, we've been solving this problem by supervising the process our agents take to get to outcomes, rather than just looking at whether the outcome itself is correct.\n\nWe think this is the key to building production agents at scale. \n\nIt's what has allowed us to run agents in production that operate for hours, sometimes days, and reliably perform tasks like entire complex tax returns end to end.\n\nToday, alongside @braintrust, we're open sourcing a standard for defining, evaluating, and eventually rewarding agent behaviors.\n\nThread below with all the details on how we’re scaling behaviors to close the loop for long-horizon agents.",
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      "text": "kiMi iS sO exPenSivE! But you've been paying the same for worse performance from Sonnet for years.",
      "description": "kiMi iS sO exPenSivE! But you've been paying the same for worse performance from Sonnet for years.",
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      "title": "Too many people trying to get AI to write whole codebase. Not enough using it for the boring shit nobody has time for: Improve your error messages. Build better on call dashboards…",
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      "text": "Too many people trying to get AI to write whole codebase. Not enough using it for the boring shit nobody has time for: Improve your error messages. Build better on call dashboards. Fix the broken stack traces in Sentry. Clean up your old feature flags. Low stakes stuff AI is actually good at and you weren't going to get to anyways.",
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      "text": "Integration testing on @Cloudflare Workers?\nWe've just made it a lot easier for you.\n\n🗑️ bin unstable_startWorker()\n🎁 unwrap createTestHarness()\n\nSee how much cleaner a simple test setup looks like.\n\nRead more: https://t.co/D02N2RdKbS https://t.co/wPnnp6a9e5",
      "description": "Integration testing on @Cloudflare Workers?\nWe've just made it a lot easier for you.\n\n🗑️ bin unstable_startWorker()\n🎁 unwrap createTestHarness()\n\nSee how much cleaner a simple test setup looks like.\n\nRead more: https://t.co/D02N2RdKbS https://t.co/wPnnp6a9e5",
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      "description": "A VERY Orange release - much love @Cloudflare https://t.co/ga49zbBqBP",
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      "text": "just met with the CTO of a 9-figure company. off-hand quote: \"I'm so tired of babysitting AWS. we benched cloudflare, it just scales -- we are building on you guys now.\"",
      "description": "just met with the CTO of a 9-figure company. off-hand quote: \"I'm so tired of babysitting AWS. we benched cloudflare, it just scales -- we are building on you guys now.\"",
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      "text": "@kevinyien and I have been chatting re: the product manager's role — one thought:\n\n(1) make sure the team ships\n(2) decide to ship something \"surprisingly great\" or \"not obviously bad\"\n\nif \"surprisingly great\" = yay\nelse, ensure \"not obviously bad\" to earn trust, then ship again",
      "description": "@kevinyien and I have been chatting re: the product manager's role — one thought:\n\n(1) make sure the team ships\n(2) decide to ship something \"surprisingly great\" or \"not obviously bad\"\n\nif \"surprisingly great\" = yay\nelse, ensure \"not obviously bad\" to earn trust, then ship again",
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      "title": "extremely proud of this one\n\ns/o @rohandevs https://t.co/BwhxSquVqD",
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      "text": "extremely proud of this one\n\ns/o @rohandevs https://t.co/BwhxSquVqD",
      "description": "extremely proud of this one\n\ns/o @rohandevs https://t.co/BwhxSquVqD",
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      "title": "More opensource goodness. We have just released a CLI and TypeScript SDK for finding, validating, and fixing security vulnerabilities in your code. Scan repositories, review chang…",
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      "text": "More opensource goodness. We have just released a CLI and TypeScript SDK for finding, validating, and fixing security vulnerabilities in your code. Scan repositories, review changes, track findings over time, and run security checks in CI.\n\nhttps://t.co/nkfTbw8p7b",
      "description": "More opensource goodness. We have just released a CLI and TypeScript SDK for finding, validating, and fixing security vulnerabilities in your code. Scan repositories, review changes, track findings over time, and run security checks in CI.\n\nhttps://t.co/nkfTbw8p7b",
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      "text": "Thrilled to announce the MCP 2026-07-28 release. It is one of MCP's biggest yet, built on 18 months of lessons learned.\n\nA few highlights:\n\n★ MCP is now stateless, with semantics for multi-round-trip requests. Serving MCP just got much simpler and more scalable.\n\n★ MCP now has extensions. MCP Apps, Tasks, Enterprise Managed Auth, and more. Domain-specific ways to use MCP, plus room for experimental additions.\n\n★ Python, Typescript, C# (soon) SDKs released a v2.0.0 for the new spec with improved ergonomics!  \n\nBut the biggest highlight for me: this release is a true community effort. Individuals and companies alike — Anthropic, Google, Microsoft, OpenAI, and many others helped shape this specification.\n\nAnd there's much more. Full details: https://t.co/NHd9cQmPCu",
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      "title": "The 2 hardest problems in AuthZ right now are:\n\n1) Permissions for multiplayer agents+humans\n2) Permissions for non-deterministic agentic systems\n\nWe have a solution at @WorkOS th…",
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      "text": "The 2 hardest problems in AuthZ right now are:\n\n1) Permissions for multiplayer agents+humans\n2) Permissions for non-deterministic agentic systems\n\nWe have a solution at @WorkOS that I'm bullish about. Looking forward to sharing more soon. 👀 https://t.co/3UKTnPWtF6",
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      "text": "ai startups aren’t competing against other ai startups. They’re competing against:\n- the tracker sheet their team’s used for years\n- the 5 open tabs needed for a task\n- the copy-and-paste workflow nobody documented\n- the employee who “just does it”\n- ignorance, fear of change, laziness",
      "description": "ai startups aren’t competing against other ai startups. They’re competing against:\n- the tracker sheet their team’s used for years\n- the 5 open tabs needed for a task\n- the copy-and-paste workflow nobody documented\n- the employee who “just does it”\n- ignorance, fear of change, laziness",
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