Weixu Wang

Weixu Wang

Optimizing more than just loss functions
#100545887 followers3 following
#137Last month
534 KP
>10,000All time
533 KP

About

I've long accepted that nothing feels quite like seeing Accepted. What really drives me is figuring out how things work — markets, systems, games, anything with a hidden mechanism. Show me a clever strategy and I won't rest until I've cracked its intended solution. Maybe I'm still chasing the rush of an Accepted from my OI days. Optimizing more than just loss functions. Still allergic to local optima.

Badges

Top 5 Launch
Top 5 Launch
Tastemaker
Tastemaker
Gone streaking
Gone streaking
Gone streaking 5
Gone streaking 5

Maker History

  • Loqua
    LoquaSpeak naturally and move from thoughts to being done
    Sep 2026
    • 🎉
    Joined Product HuntJuly 23rd, 2026

Forums

•

2mo ago

When should an AI agent act immediately — and when should it ask first?

I ve been thinking about a product-design problem that seems simple at first, but gets complicated very quickly:

When should an AI agent just do the thing and when should it stop and ask for confirmation?

The more actions an agent can take, the more useful it becomes.

But the more autonomy you give it, the more important trust becomes.

•

2mo ago

What if latency were no longer the bottleneck — what would voice actually unlock?

I've been designing a voice pipeline lately, and the whole design boils down to one idea: a dual-speed loop.

Fast loop: a multimodal decision model whose only job is to hold the conversational rhythm. Within ~200ms of you finishing a sentence, it responds whether that's answering, asking a follow-up, or just saying "hmm, let me check" is decided in real time.

Slow loop: a voice agent doing the actual work in the background searching, running tasks, anywhere from seconds to minutes. When it's done, it picks the right moment to jump back into the conversation, guaranteeing depth and quality.

View more