Jev hype reveals two things: weak builder skills and the case for renting inference
edgarpavlovsky · x · 2026-09-18
Commenting on the open-source classifier model Jev, edgar pavlovsky says its hype highlights two things: many people building in AI are simply incapable of building their own classifiers (a basic exercise), and sometimes it's still just easier to rent inference.
More from Models
- Critics say Prism's Bonsai models are benchmaxxed: sub-2-bit compression breeds brittle slop — teortaxesTex · 2026-09-19
- Ternary Qwen3.8-27B runs on 8GB VRAM, claims 98.2% of original smarts under $500 — alexcovo_eth · 2026-09-19
- GPT-6 Astra One-Shots $10k Gambonanza Challenge in Obscure Game, Fully Autonomous — Vjeux · 2026-09-19
- JEV classifier sparks buzz: the moat is the data, not the model — MoonL88537 · 2026-09-19
- A Live Open LLM Pretrain and RL Training Run You Can Watch in Real Time — mariofilhoml · 2026-09-19
- tokenbender: the long-term path is weak experiential learning, not pure — tokenbender · 2026-09-19