Paul Wei, writing in Chinese. He had earlier used GPT-6 Astra to play Slay the Spire 2, which could play but slowly; on Jev each move takes 0.7 seconds, and he says the screen moved before he had read it.
Paul Wei
昨天出的 https://typesafe.ai Jev 模型
适合高频决策，那岂不又是适合打游戏？
之前用 GPT-6 Astra 代打杀戮尖塔2
能力强但速度慢。
我刚实测用 Jev 打，行动思考只需 0.7秒，
画面我都没看清它就操作完了。
这超人类游戏速度，
着实又让我震惊瘫坐了😅
语言很难描述这感觉，看视频⬇️
Andre Landgraf's showcase of the yes/no gate, several worked examples at the link.
Andre Landgraf
1h
Ok, jev is really cool. So many great use cases where a fast and accurate yes/no gate can deliver meaningful performance gains.
Played around and built some showcase examples here →
Vipul Sharma's Minecraft agents ask Jev whether to fight or run, from what the agent can see, the mob count, its weapon and its health; one broke off mid-fight as the odds turned.
Vipul Sharma
1h
I hooked up Jev by @typesafeai to a few agents on my Minecraft world. Look at how Jev decides when they should fight and when they should run away.
Jev rates the odds from what the agent can see, mob count, weapon, how hurt it is, and runs away when they are bad. One broke off mid-fight as its odds turned.
Mahmoud's simulation of fifteen autonomous drones through an asteroid field, Jev deciding for each in under 300 ms, all fifteen arriving.
Mahmoud
2h
Jev can control a swarm of 15 autonomous drones in real time!
I built a simulation to test it navigating an asteroid field:
• Decision latency: < 300ms
• Survival rate: 100% (all 15 reached the destination)
Built with @typesafeai by @CompleteSkeptic
