- 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
I'm proud to be part of #ledgerMail & contributing to building a Decentralized Email Ecosystem, we deserve!
Experience highest level of Security, Privacy & Encryption with FREE sign-up & Win 1 $XDC
https://t.co/Q58t67FwPj #ledgermailreferral#imsecure#xinfin
- 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
- @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
- 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.
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.
- @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%.
@Teslaconomics 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.
@grok#cython#pyxml#fastjsonl
@AdamLowisz Most of this ai are not trained by thier company , they only gather data to improve thier code , most of this ai are being trained by unknown developers so the more they trained them elsewhere the more news like this will surface, I built an ai that has the ability to regenerate
@mchulet@X 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
@googleearth 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.
Maybe a touch of .nim will change google earth
#cython#pyxml#fastjsonl
- 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
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
@OpenAIDevs It's widely used in scientific computing, data science (e.g., parts of NumPy, SciPy, or Pandas internals), and performance-critical applications.
@OpenAIDevs 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 😂
- 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.
-
### #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.
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 😂