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🚀 Rspack 1.6.0-beta.0 is out! ✨ Improved ESM library output (experimental) ✨ Improved MF runtime plugins ⚡ Barrel optimization by default 🗺️ Extract existing source maps 🧩 Stabilized layers 🐞 10+ bug fixes
Z.ai (@Zai_org) is now a model provider inside TRAE. You can BYOK and add GLM-4.6 and GLM-4.5 to TRAE IDE. GLM-4.5 supports up to 128K context and GLM-4.6 expands up to 200K context. Both deliver strong coding and reasoning performance on the benchmark and…
A great starter pack to build a coding sprint with custom agents in TRAE. Prompts and agent links included. Credit to our community power user @neogedom ! (see thread ↓)
Using a trillion parameter LLM and 16 core MacBook Pro to send an email
Very nice upgrade to the Graphite agents. PR edits were already pretty good but full codebase access and repo history helps a ton. Context is king!
This looks pretty awesome. Plugin framework with federation built in
every-plugin is a framework for building composable, type-safe plugin systems. It combines @EffectTS_ for resource management, Module Federation for remote loading, and oRPC for powerful, type-safe APIs. Build module, provide the URL, and get a fully-typed client anywhere
Chad Xi
BREAKING – China officially overtakes US in technology Out of 64 critical technology categories, China leads in 57 while US leads in only 7
Western civilization has peaked. We cling tightly to chip fabs and export controls because that’s all we have left.
The world’s largest high-speed train station is in China. Chongqing East Railway Station.
Live footage of my M1 ultra performing workloads these days. Feeling a lil old.
Imagine spending hundreds of millions of dollars to train 4.5 only to get railed by Chinese oss models.
iOS app built. Considering pushing it to App Store
Vercel cooked with fluid compute. Love ‘em or hate ‘em, they cooked.
Vercel Fluid vs Cloudflare Workers. 💬"From my findings, Vercel is 1.2x to 5x faster than CloudFlare for server rendering." We gave a very, very earnest try to Workers when we explored the edge runtime / world. There's no "beef", we had to migrate off for technical reasons. To…
China just needs to improve its chip fabs a little more and we might be super fucked. They can use less efficient chips too because limitless energy.
It's not about GPUs anymore; it's all about POWER. A comment from a $GOOGL employee working on datacenters: Getting GPUs and TPUs is not a bottleneck. "Power, lack of available power, reliable power has become the biggest bottleneck for us." on @AlphaSenseInc
Dude is cooking. People should follow.
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