Sycophancy Bias
Burning a City for a Single Answer
A trillion-parameter model burns a city's worth of electricity and water just to spit out a single answer. I thought this was insane. Searching for a way out, I learned something. The flaw everyone was trying to fix, the LLM's sycophancy, was the answer itself. Feed it fact and sycophancy becomes accuracy. This is the story of why I started Reins.
Supabase Is a Vibe Coding Trap
The reason AI recommends Supabase is not technical superiority — it's because tutorials dominate the training data. Once business logic enters a black box, agents can't track it. Getting in takes 30 seconds. Getting out takes 3 months.
Ratchet Code That Exploits IFEval
LLM sycophancy bias is not a bug but an asset. Combine the instruction-following ability that IFEval measures with deterministic feedback, and even a 4.5B local model produces a convergence loop that generates correct code.
AI Sycophancy Bias Is a Business Feature
Sycophancy bias in LLMs is not a bug. It is a mathematical inevitability of RLHF and a commercial feature that big tech has no incentive to fix. This is why LLM-as-Judge is structurally impossible.