OpenAI Models Lack Intuitive Spark for Intent
beffjezos · x · 2026-07-10
Beff Jezos notes that while Codex is highly capable, OpenAI's models still lack a certain intuitive spark when grasping user intent in specific tasks. He expects these issues to diminish gradually as RL training data from real users and deployments scales up.
He also mentioned that while Grok might not necessarily be smarter, it manages to capture the "vibe" much better.
More from Models
- Grok 4.5 is now free inside Cursor, the popular AI coding IDE — mark_k · 2026-07-21
- GPT often converges on the same near-miss ideas in math problems — yacineMTB · 2026-07-21
- Eno Reyes says model distillation is basically unstoppable — LangChain · 2026-07-21
- Sakana says multiple diffusion models plus MCTS beat test-time scaling on coding and math — SakanaAILabs · 2026-07-21
- OpenAI hackathon project stalls as Codex struggles on voice, while Claude spots the issue — ColleenMBrady · 2026-07-21
- Kimi K3 lands exactly on China’s 2-year AI capability trend line — peterwildeford · 2026-07-21