Joined October 2022
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Seems like @Zai_org actually took the criticism to heart. GLM 5.2 is: > Notably faster than GLM 5.1 > I tested it with 6 bug fixes and an implementation on OpenCode; everything went through cleanly with solid planning. > It's also good for DB and system design stuff when you pair it with the right agent skills.
Fable gets banned today. And the same day @Zai_org drops GLM 5.2. Wild timing. Honestly, I'm trusting the Chinese providers more than the American ones at this point.
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trying @antigravity cli today. wish me luck.
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It can't even find the goddamn architecture/README.md files, bro. Opencode and Claude handle this in seconds without breaking a sweat.
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Seems like @Zai_org actually took the criticism to heart. GLM 5.2 is: > Notably faster than GLM 5.1 > I tested it with 6 bug fixes and an implementation on OpenCode; everything went through cleanly with solid planning. > It's also good for DB and system design stuff when you pair it with the right agent skills.
Fable gets banned today. And the same day @Zai_org drops GLM 5.2. Wild timing. Honestly, I'm trusting the Chinese providers more than the American ones at this point.
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It just completed a full end-to-end field removal in one shot. DB schemas, validation schemas, services, routes, frontend pages, components, unit tests, integration tests, and e2e tests... all of it. At once. Wild.
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Chinese and American AI lab marriages might be what saves us. Americans build the models, and the Chinese open-source them. That's the playbook. That's how we win.
I am willing and able to marry any Anthropic MTS who needs their Mythos access back
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Fable gets banned today. And the same day @Zai_org drops GLM 5.2. Wild timing. Honestly, I'm trusting the Chinese providers more than the American ones at this point.
Jun 13
Intelligence should be open, accessible, and ready to build with, empowering every developer, everywhere. GLM-5.2 is now available to all GLM Coding Plan users, including Lite, Pro, Max, and Team plans. docs.z.ai/devpack/latest-mod… As our new flagship model, GLM-5.2 delivers powerful coding capabilities, usable 1M-context support, and continued strengths in long-horizon tasks. API and Chatbot services will launch next week. The model will also be officially open-sourced next week under the MIT License. The future of AI is open, and it belongs to the people.
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1M context window, by the way. Currently stress testing it on a massive project. Will report back once I see how it handles the load.
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Alper Tunga retweeted
GLM 5.1 has been surprisingly solid and genuinely fun to work with. Here's the skill stack I've been running it with: > Mental models & proper thinking: cc-thinking-skills Specifically, "thinking-first-principles", "thinking-systems", and "thinking-feedback-loops" > Debugging: systematic-debugging > Schema design with PostgreSQL: postgresql-table-design > Queues with RabbitMQ: rabbitmq-expert > Caching with Redis: redis-core, redis-connections, redis-query-engine All the skill links below 👇
Apr 7
Introducing GLM-5.1: The Next Level of Open Source - Top-Tier Performance: #1 in open source and #3 globally across SWE-Bench Pro, Terminal-Bench, and NL2Repo. - Built for Long-Horizon Tasks: Runs autonomously for 8 hours, refining strategies through thousands of iterations. Blog: z.ai/blog/glm-5.1 Weights: huggingface.co/zai-org/GLM-5… API: docs.z.ai/guides/llm/glm-5.1 Coding Plan: z.ai/subscribe Coming to chat.z.ai in the next few days.
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Alper Tunga retweeted
some of you asked about the tech stack and infra behind @NodeStoryAI frontend: react @vite_js for the dashboard and @nextjs for the landing page backend: express.js caching and pub/sub: redis via @outplanecom db: postgresql 17 via @outplanecom ai: gemini, chatgpt, nano banana 2, seedance 2, kling 3, and many more via @eachlabs hosting: @outplanecom object storage: @Cloudflare R2 domain: @spaceship package manager: @bunjavascript auth: @better_auth
A year ago, my team and I were tired of the same loop... Type a prompt, get a result, start completely over. Every campaign, every asset, from scratch. So we built @NodeStoryAI, a visual canvas for connecting prompts, models, and media into reusable workflows. Build it once. Swap inputs. Run again. Image gen, video gen, 20 models, all in one place. Team seats for agencies. API access when you need it. Solo creators stop rebuilding pipelines and actually start shipping. We built this as a team of 5 (@TugserOkur @merveeksi6117 @fatih_dev_chef @wkaandemir) because we needed it ourselves and hope it helps you too. nodestory.ai
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Alper Tunga retweeted
A year ago, my team and I were tired of the same loop... Type a prompt, get a result, start completely over. Every campaign, every asset, from scratch. So we built @NodeStoryAI, a visual canvas for connecting prompts, models, and media into reusable workflows. Build it once. Swap inputs. Run again. Image gen, video gen, 20 models, all in one place. Team seats for agencies. API access when you need it. Solo creators stop rebuilding pipelines and actually start shipping. We built this as a team of 5 (@TugserOkur @merveeksi6117 @fatih_dev_chef @wkaandemir) because we needed it ourselves and hope it helps you too. nodestory.ai
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A year ago, my team and I were tired of the same loop... Type a prompt, get a result, start completely over. Every campaign, every asset, from scratch. So we built @NodeStoryAI, a visual canvas for connecting prompts, models, and media into reusable workflows. Build it once. Swap inputs. Run again. Image gen, video gen, 20 models, all in one place. Team seats for agencies. API access when you need it. Solo creators stop rebuilding pipelines and actually start shipping. We built this as a team of 5 (@TugserOkur @merveeksi6117 @fatih_dev_chef @wkaandemir) because we needed it ourselves and hope it helps you too. nodestory.ai
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some of you asked about the tech stack and infra behind @NodeStoryAI frontend: react @vite_js for the dashboard and @nextjs for the landing page backend: express.js caching and pub/sub: redis via @outplanecom db: postgresql 17 via @outplanecom ai: gemini, chatgpt, nano banana 2, seedance 2, kling 3, and many more via @eachlabs hosting: @outplanecom object storage: @Cloudflare R2 domain: @spaceship package manager: @bunjavascript auth: @better_auth
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some of you asked about the tech stack and infra behind @NodeStoryAI frontend: react @vite_js for the dashboard and @nextjs for the landing page backend: express.js caching and pub/sub: redis via @outplanecom db: postgresql 17 via @outplanecom ai: gemini, chatgpt, nano banana 2, seedance 2, kling 3, and many more via @eachlabs hosting: @outplanecom object storage: @Cloudflare R2 domain: @spaceship package manager: @bunjavascript auth: @better_auth
A year ago, my team and I were tired of the same loop... Type a prompt, get a result, start completely over. Every campaign, every asset, from scratch. So we built @NodeStoryAI, a visual canvas for connecting prompts, models, and media into reusable workflows. Build it once. Swap inputs. Run again. Image gen, video gen, 20 models, all in one place. Team seats for agencies. API access when you need it. Solo creators stop rebuilding pipelines and actually start shipping. We built this as a team of 5 (@TugserOkur @merveeksi6117 @fatih_dev_chef @wkaandemir) because we needed it ourselves and hope it helps you too. nodestory.ai
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We went with @outplanecom for deployment because @rcperdg made testing, staging, and shipping apps incredibly easy for both B2Bs and teams like ours. They also have a $5K Runway program for startups. If you're looking for a clean deployment setup, I'd definitely suggest checking them out.
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Over the past month, @TugserOkur and I have been running @cursor_ai 3 and MiniMax on @opencode pretty much daily. Composer 2.5 and MiniMax Highspeed 2.7 have been the combo for quick fixes and shipping new features fast. They've been genuinely helpful.
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Replying to @NodeStoryAI
Dig deeper, and you'll see you can customize panel layouts, art styles, and all the details to build your own workflows from scratch.
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And our personal favorite... the Product Image Generator node. You feed in your product, character, environment, and style references, and it generates professional product shots that actually look like they came from a studio. This one gets used constantly.
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