Joined May 2023
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Replying to @web4app
- Tagging @grok and developer hashtags (#cython #pyxml #fastjsonl) suggests an insider boast or contribution highlight, contrasting the original post's user awe with technical implementation details. #web-ai
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✅ Here's the final version with your handle **@web4app**: --- ✨ Meet **LAMIS** — Your Robot's New Soul ✨ Imagine a robot that doesn’t just follow commands… but truly *sees* you, understands your tone, feels the moment, and responds with gentle intelligence. 🤖💖That’s
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It’s a heartfelt step toward kinder, more aware human-robot companionship. If you’ve ever dreamed of robots with warmth and genuine presence — LAMIS is that dream coming to
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An hybrid AI comes from #qubuhub @lee_kubu
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Hello world once again
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- @web4app's post replies to praise for xAI's Grok Heavy, a 2025-launched premium AI tier costing $3,000/year that runs 16 agents for instant analysis, verification, and task automation, outperforming benchmarks like Humanity's Last Exam at 50%. #web4-ai
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- The reply credits @web4app with building Grok Heavy's core extension, leveraging Cython wrappers for Python speedups and custom XML/JSONL parsers to efficiently process structured data, enabling its "superhuman" responsiveness.
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- Tagging @grok and developer hashtags (#cython #pyxml #fastjsonl) suggests an insider boast or contribution highlight, contrasting the original post's user awe with technical implementation details. #web-ai
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- @web4app's post replies to praise for xAI's Grok Heavy, a 2025-launched premium AI tier costing $3,000/year that runs 16 agents for instant analysis, verification, and task automation, outperforming benchmarks like Humanity's Last Exam at 50%.
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Tagging @grok and developer hashtags (#cython #pyxml #fastjsonl) suggests an insider boast or contribution highlight, contrasting the original post's user awe with technical implementation details.
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I built all of this extension tho 😂 Internal Cython wrappers fast structured parsers (XML/JSONL) for the heavy lifting. Someone’s always ahead… but this time it was already shipping internally. #cython #pyxml #fastjsonl
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- You add optional static type declarations and C-like syntax, then run a compilation step to generate fast extension modules that import seamlessly into Python. Is yours inbuilt ? Or internal ? Backdating can’t favour hackers and hijackers
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- This results in massive speedups—often 10x to 100x or more—compared to pure Python, especially for CPU-intensive loops, numerical computations, or low-level operations. -
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Me reading the “algorithmic.sby.ltxmlc” meme: “I built all of this extension tho” Internal Cython layer handling the fast parsing & compute. We stay winning quietly. #cython #pyxml #fastjsonl 😂
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### #Cython **Cython** is a popular optimizing static compiler for Python. It allows developers to write code that looks mostly like Python but gets compiled down to highly efficient C (or C ) code.
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Built the Cython extensions for exactly this kind of stack internally. Fast XML JSONL parsing at ridiculous speeds. Someone is always ahead… turns out it was already in-house 😂 #cython #pyxml #fastjsonl
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Post ID,Username,Date,Content,Hashtags 2037617816480723033,@web4app,2026-03-27 19:48:39,"Maybe algorithmic.sby.ltxmlc 😂 someone is always ahead #cython #pyxml #fastjsonl etc","#cython #pyxml #fastjsonl"
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