ModelsSelected78°9月19日 08:47

Jev AI releases new model

AI Engineer@aiDotEngineer

Post

Why we picked it

Jev is a new AI model that is significantly faster and cheaper to run than existing models like ChatGPT, making it more accessible for developers and businesses.

After co-inventing ChatGPT, @CompleteSkeptic spent two years building Jev, a new AI model that is 20-200x faster and 40-400x cheaper to run.

Jev AI releases new model — Image · AI Engineer

Body

The model uses RLCD training and is designed for decision-making.It is being released today as a frontier AI model.

Original · AI Engineer

Why @CompleteSkeptic created ChatGPT and then spent 2 years in stealth building Jev

Industry Coordinates & Source Verification

This report is categorized under AITOP's "Models" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include Jev AI, ChatGPT, AI models, RLCD.

Source attribution: curated from AI Engineer (@aiDotEngineer).

#Jev AI #ChatGPT #AI models #RLCD #composable intelligence

Keep reading

Recent stories with the same tag or section

Models BuildersMulti-source21:39

Chinese contentGoogle DeepMind 发布 PARDIG 与 SatWeave 两个天气模型

DeepMind 把降雨估算做到了 15 分钟一次，精度还提升 30% 以上，SatWeave 还能把多颗卫星拼成一张实时云图。做气象、灾害预警或农业应用的开发者可以直接关注这两个模型能提供什么数据，比传统雷达覆盖范围广得多。

#Google DeepMind #PARDIG #SatWeave #气象预测

Event

Official accountGoogle DeepMind@GoogleDeepMindSource

Models US vs ChinaOfficial18:54

Chinese contentGoogle 发布 Gemini 4 Hydrogen：速度较 Gemini 3.8 Flash 提升 2.5 倍

Google 新出的 Gemini 4 Hydrogen 主打快，比 Gemini 3.8 Flash 快 2.5 倍，还带 1M 上下文和 4 档思考模式。跑 agent 或批量任务的开发者可以关注下这个价格和 Terminal-Bench 成绩，算算换过来省不省。

#Gemini 4 Hydrogen #Google #推理模型 #智能体

Event

Primary sourcemarktechpost@Michal SutterSource

Models US vs ChinaSelected17:33

Tencent Hunyuan Hy4 Ranks #3 on Artificial Analysis Cyber Index

Cost efficiency rather than raw leaderboard position is the real story: matching near-frontier security performance at roughly 1/11th the cost of Grok 4.7 (xhigh) changes the calculus for teams running vulnerability-scanning agents at volume. Security engineering teams and platform builders evaluating agentic models for code audit pipelines can use the per-task cost and token-consumption figures directly in procurement comparisons. Against DeepSeek V4.1 Flash 1017 (max), the tradeoff is higher token usage for a slight accuracy edge.

#Tencent Hunyuan #Hy4 #DeepSeek #Kimi K3.1 Pro