LLMs still cannot design a real institutional trading stack without extensive firm context
ivan_bezdomny · x · 2026-07-21
- A quoted discussion argues that no LLM has seen the inside of an institutional trading firm, so it cannot naturally infer how to design a real trading system.
- The claim is that the only viable way to use LLMs here is to feed them copious context so the output starts to resemble an actual institutional trading stack.
- The post frames trading infrastructure as something that encodes a firm's “soul,” and says current models still cannot produce a coherent architecture on their own, even when prompted to build a world-class system without mistakes.
- The quoted thread uses a Jane Street-style interview problem as background to show how domain-specific and operationally subtle these systems are.
More from Companies & People
- Former Ramp builder starts a new AI-native company after seeing Ramp reach $44B — varunshenoy_ · 2026-07-22
- Bloomberg says Sam Altman will brief Trump officials and Congress on GPT-6 next week — soumitrashukla9 · 2026-07-22
- Anaconda acquires Kilo Code to expand into agentic software development — anacondainc · 2026-07-22
- Post says Google DeepMind has gone over a year without pretraining a new base model — teortaxesTex · 2026-07-22
- Abridge’s Shiv Rao says healthcare AI wins by staying human and staying focused — elizabeth · 2026-07-22
- Skyfall AI plans to buy a SaaS business for $1 million and run it with AI — ChrisGPT · 2026-07-22