@zefirium: damn bro... every time I see such "Note", I only ask myself one question... why do those who steal content get monetiza…
Summary
A user shares a thread where Ronin describes switching his entire AI stack to Chinese models (Kimi K2.7, Qwen 3.7 Max) for significant cost savings with acceptable benchmark gaps, while also lamenting content theft in the broader ecosystem.
View Cached Full Text
Cached at: 07/02/26, 08:22 AM
damn bro…
every time I see such “Note”, I only ask myself one question…
why do those who steal content get monetization and are not noticed
while the authors of unique content are being strangled by nerds? https://t.co/XB8aFgYsfz
Ronin (@DeRonin_): My entire AI stack is now Chinese 🇨🇳
87% cheaper. same revenue
swaps by task:
reasoning / backend brain Opus 4.8 → Kimi K2.7 benchmark gap: ~8% · price: ~11x cheaper
code generation GPT-5.5 → Qwen 3.7 Max benchmark gap: ~18% · price: ~7x cheaper
Similar Articles
@DeRonin_: My entire AI stack is now Chinese 87% cheaper. same revenue swaps by task: 1. reasoning / backend brain Opus 4.8 → Kimi…
A user reports replacing American AI models with Chinese alternatives across reasoning, code generation, agent loops, bulk processing, and image/video generation, achieving 87% cost reduction with only 4% average quality drop and unchanged revenue.
@VraserX: With all the massive compute China has secured lately, why does it feel like they're still just distilling US models? Y…
A commenter questions why China, despite securing massive compute resources, appears to still rely on distilling US AI models rather than training foundational models from scratch, wondering what the actual bottleneck is.
@MaxForAI: https://x.com/MaxForAI/status/2058910873947910558
An article discussing how Chinese talents are 'lining up to crash open source', highlighting the paradox of free value in commercial ecosystems.
@PrajwalTomar_: If your entire AI stack runs on one US model, it can all go offline overnight. DeepSeek, Qwen, Kimi. They're not just c…
Discussing the risks of relying on a single US frontier AI model and advocating for a diversified stack using Chinese alternatives like DeepSeek and Qwen, which can be run locally and are cheaper, for better resilience and data privacy.
@DeRonin_: My current local AI setup: - 2x DGX Spark linked (256gb) > GLM 5.2 @ 2bit, reasoning + agent loops - Mac Studio M3 Ultr…
A user describes their fully local AI stack using multiple hardware devices running Chinese models like GLM, Qwen, and Kimi, claiming 87% cost savings compared to frontier models like GPT-5.5 and Opus 4.8, while noting plans to self-host video generation.