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I am Rong “Mantle” Bao, a senior-year Computer Science undergraduate at Hangzhou Dianzi University. Welcome to my blog, where I bake all my potatoes.

About me

My GPG keys

I like…

  • Coding. Polyglot, enjoy C/Rust/TypeScript most
  • Coding in reverse. Reverse engineering, messing around with edge cases of the ISA and the OS. Member of Vidar-Team. FLARE-On 11 Finisher #168
  • Low-level work. Interested in x86-64 assembly, RISC-V/LoongArch ISAs, and microarch implementation
  • Compilers and toolchains. Mozilla Level 3 Commit Access, active maintainer of SpiderMonkey’s RISC-V and LoongArch JIT backends
My attitudes towards AI
  • Machine learning problems are analytical and statistical problems.
  • Neural networks are good at discovering patterns not obvious to traditional approaches.
  • LLMs are probabilistic token predictors. They generate plausible-looking output, and often intrinsically hallucinate.
  • Garbage in, garbage out. Observation in, imitation out.
  • I do use LLMs to brainstorm ideas.
  • I do use LLMs to perform repetitive work, like typographical proofreading and babysitting pre-written scripts.
  • I do chat with LLMs to have fun in my spare time.
  • I do use generative models to craft multimedia content for personal, hobby use.
  • I do not use LLMs to write code beyond my own capabilities, or without careful scrutiny.
  • I do not use LLMs to write casual articles, like blogs.
  • I do not use LLMs to write academic articles, or carry out research in place of myself.
  • I do not use LLMs as a search engine.
  • I do not trust LLMs as a sole source of information.
  • I do not accept responses from LLMs without verification.
  • LLMs are trained on humanity's collective knowledge. Human labor and intellectual rights must be honored and respected.
  • Loopholes and waivers in LLM hosting companies' EULA put much data at risk.
  • LLMs are energy hogs that should be used with conservation in mind.
  • I believe LLMs are becoming more performant as theories and technologies evolve.

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